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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Neurosci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Cellular Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Neurosci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1662-5102</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fncel.2026.1731669</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>C9orf72-ALS mutation drives basal mitophagy impairments in iNeurons</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Lee</surname> <given-names>James A. K.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Moutin</surname> <given-names>Chloe</given-names></name>
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<name><surname>Granger</surname> <given-names>Sarah</given-names></name>
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<contrib contrib-type="author">
<name><surname>Roome</surname> <given-names>Katie</given-names></name>
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<contrib contrib-type="author">
<name><surname>Shaw</surname> <given-names>Allan</given-names></name>
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<contrib contrib-type="author">
<name><surname>Allen</surname> <given-names>Scott P.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<name><surname>Ferraiuolo</surname> <given-names>Laura</given-names></name>
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<name><surname>Shaw</surname> <given-names>Pamela J.</given-names></name>
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<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Mortiboys</surname> <given-names>Heather</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<aff id="aff1"><label>1</label><institution>Division of Neuroscience, School of Medicine and Population and Health, Sheffield Institute for Translational Neuroscience, University of Sheffield</institution>, <city>Sheffield</city>, <country country="gb">United Kingdom</country></aff>
<aff id="aff2"><label>2</label><institution>NIHR Sheffield Biomedical Research Centre, Sheffield Teaching Hospitals NHS Foundation Trust</institution>, <city>Sheffield</city>, <country country="gb">United Kingdom</country></aff>
<aff id="aff3"><label>3</label><institution>Neuroscience Institute, University of Sheffield</institution>, <city>Sheffield</city>, <country country="gb">United Kingdom</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Heather Mortiboys, <email xlink:href="mailto:H.Mortiboys@sheffield.ac.uk">H.Mortiboys@sheffield.ac.uk</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-11">
<day>11</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>20</volume>
<elocation-id>1731669</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>04</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Lee, Moutin, Granger, Roome, Shaw, Allen, Ferraiuolo, Shaw and Mortiboys.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Lee, Moutin, Granger, Roome, Shaw, Allen, Ferraiuolo, Shaw and Mortiboys</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-11">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>ALS is a neurodegenerative disorder characterized by progressive upper and lower motor neuron loss. A GGGGCC hexanucleotide repeat expansion (HRE) in the C9orf72 gene is the most common mutation found in populations of European descent. Mitochondrial dysfunction has been observed in C9orf72-ALS patients and models of the disease, however, reports on mitochondrial clearance via mitophagy in C9orf72-ALS are limited.</p>
</sec>
<sec>
<title>Results</title>
<p>iNeurons from C9orf72-ALS patients displayed reduced mitochondrial membrane potential and reduced basal mitophagy, due to reductions in autophagosome production and reduced ULK1 recruitment to mitochondria. No consistent changes to PINK1/Parkin or BNIP3 mitophagy pathways were observed.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Our data show that certain aspects of mitochondrial function is impaired in C9orf72-ALS patient iNeurons. An in-depth characterization of mitophagy suggests that a deficit in autophagosome production is responsible and provides further evidence that toxic gain-of-function mechanisms in C9orf72-ALS are responsible for autophagy deficits.</p>
</sec>
</abstract>
<kwd-group>
<kwd>ALS (Amyotrophic lateral sclerosis)</kwd>
<kwd>autophagy</kwd>
<kwd>mitochondria</kwd>
<kwd>mitophagy</kwd>
<kwd>ULK1</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. JL was supported by a Battelle Memorial Institute Wadsworth PhD Fellowship. HM, SA, and JL were supported by the MNDA Association 943&#x2013;793. SA was supported by an Academy of Medical Sciences Springboard Award (SBF005/1064). PS was supported by the MND Association AMBRoSIA award (MNDA 972&#x2013;797), the NIHR Sheffield Biomedical Research Centre (NIHR 203321), and the University of Sheffield Institutional Open Access Fund.</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="50"/>
<page-count count="15"/>
<word-count count="9416"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cellular Neuropathology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Amyotrophic lateral sclerosis (ALS) is the most common subtype of motor neuron disease, characterized by progressive loss of upper and lower motor neurons. Resulting symptoms include progressively developing muscle weakness and paralysis. In cohorts of European descent, the most commonly identified genetic subtype is a hexanucleotide repeat expansion in the first intron of C9orf72 (<xref ref-type="bibr" rid="B46">Woollacott and Mead, 2014</xref>). Multiple pathogenic mechanisms have been identified to contribute to neuronal toxicity in C9orf72-ALS, including haploinsufficiency, sequestration of RNA-binding proteins at RNA foci, and generation of dipeptide repeat proteins (DPR&#x2019;s) from RAN translation of the repeat expansion (<xref ref-type="bibr" rid="B11">DeJesus-Hernandez et al., 2011</xref>; <xref ref-type="bibr" rid="B35">Renton et al., 2011</xref>) These mechanisms appear to synergise to contribute to neurodegeneration, with RNA foci and DPR production thought to be the primary drivers of neuron loss and reductions in the C9orf72 protein exacerbating the pathophysiology (<xref ref-type="bibr" rid="B6">Braems et al., 2020</xref>).</p>
<p>There is a wealth of evidence describing mitochondrial dysfunction in ALS models [reviewed recently by <xref ref-type="bibr" rid="B20">Lee et al. (2024)</xref>]. Dysfunctional mitochondria have also been observed in C9orf72-ALS models, with a majority of reports suggesting increased mitochondrial fission and disrupted mitochondrial function (<xref ref-type="bibr" rid="B8">Choi et al., 2019</xref>; <xref ref-type="bibr" rid="B9">Dafinca et al., 2016</xref>; <xref ref-type="bibr" rid="B21">Li et al., 2020</xref>; <xref ref-type="bibr" rid="B24">Lopez-Gonzalez et al., 2016</xref>; <xref ref-type="bibr" rid="B26">Mehta et al., 2021</xref>; <xref ref-type="bibr" rid="B30">Onesto et al., 2016</xref>; <xref ref-type="bibr" rid="B33">Petrozziello et al., 2022</xref>). We have also previously shown increases in mitochondrial reactive oxygen species (ROS) production in C9orf72-ALS iNeurons, a finding corroborated in <italic>Drosophila</italic> models of C9orf72-ALS (<xref ref-type="bibr" rid="B4">Au et al., 2024</xref>). These dysfunctional mitochondria may accumulate in cells due to impaired clearance via mitophagy. Reductions in mitophagy have been reported in <italic>Drosophila</italic> expressing arginine-rich DPR&#x2019;s and in zebrafish models combining C9orf72 loss and polyGP expression, however, these findings have not yet been confirmed in patient-derived neuronal models (<xref ref-type="bibr" rid="B4">Au et al., 2024</xref>; <xref ref-type="bibr" rid="B10">de Calbiac et al., 2024</xref>).</p>
<p>The present study utilizes neuronal progenitor cells directly reprogrammed from patient fibroblasts, allowing us to retain the genetic background and age phenotype of donor cells (<xref ref-type="bibr" rid="B14">Gatto et al., 2021</xref>; <xref ref-type="bibr" rid="B27">Meyer et al., 2014</xref>). We have previously shown that generation of iNeurons from iNPC&#x2019;s results in cells expressing neuronal markers &#x03B2;-III tubulin, MAP2 and NeuN (<xref ref-type="bibr" rid="B4">Au et al., 2024</xref>). Furthermore, we have previously shown these C9orf72 patient derived cells express polyGP dipeptide repeats, providing further validation that this model is relevant for the study of C9orf72 related mechanisms (<xref ref-type="bibr" rid="B16">Hautbergue et al., 2017</xref>; <xref ref-type="bibr" rid="B7">Castelli et al., 2023</xref>). The present study includes an extensive characterization of mitochondria and mitophagy in a patient-derived model of C9orf72-ALS, building on previous work showing disruptions to mitophagy in neurons of other ALS genotypes. We show iNeurons carrying the C9orf72-HRE mutation are deficient in basal mitophagy, with reductions in autophagosome generation. In contrast to other ALS genotypes, no defects in PINK1/Parkin-dependent and no consistent changes in BNIP3/BNIP3L-dependent mitophagy were observed. Modulation of ULK1 was able to elicit an increase in mitophagy, however, levels were still reduced overall in the C9orf72-ALS patient iNeurons. This study provides evidence that disruption to the autophagy machinery produces deficits in mitophagy in C9orf72-ALS, with evidence that toxic gain-of-function mechanisms are responsible for autophagy disruption.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="S2.SS1">
<title>iNPC tissue culture, iNeuron differentiation, and compound treatments</title>
<p>Induced Neuronal Progenitor Cells (iNPC&#x2019;s) were generated as previously described (<xref ref-type="bibr" rid="B27">Meyer et al., 2014</xref>). <xref ref-type="table" rid="T1">Table 1</xref> includes details for the patient lines used in this study. The generation and use of cells derived from these iNPC&#x2019;s has been published before in <xref ref-type="bibr" rid="B27">Meyer et al. (2014)</xref> and <xref ref-type="bibr" rid="B4">Au et al. (2024)</xref>. iNPC&#x2019;s were maintained in DMEM: F12 with GlutaMAX (Gibco), supplemented with 1% N2 (Invitrogen), 1% B27 (Invitrogen) and 20 ng/ml FGF-Basic (PeproTech). Cells were grown on fibronectin (R&#x0026;D Biosystems) coated cell culture dishes and routinely sub-cultured every 2&#x2013;3 days using Accutase (Corning) to detach them.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Cell lines used in this study.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left">Cell line</th>
<th valign="top" align="left">Genotype</th>
<th valign="top" align="left">Sex</th>
<th valign="top" align="left">Age at biopsy (years)</th>
<th valign="top" align="left">Source</th>
<th valign="top" align="left">Onset to death (months)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">155v2(pair1)</td>
<td valign="top" align="left">Control</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">40</td>
<td valign="top" align="left">Sheffield teaching hospital (STH)</td>
<td valign="top" align="left">-</td>
</tr>
<tr>
<td valign="top" align="left">3,050 (pair 2)</td>
<td valign="top" align="left">Control</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">68</td>
<td valign="top" align="left">STH</td>
<td valign="top" align="left">-</td>
</tr>
<tr>
<td valign="top" align="left">CS14 (pair3)</td>
<td valign="top" align="left">Control</td>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">52</td>
<td valign="top" align="left">Cedars-Sinai</td>
<td valign="top" align="left">-</td>
</tr>
<tr>
<td valign="top" align="left">183 (Pair 1)</td>
<td valign="top" align="left">C9orf72-ALS</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">50</td>
<td valign="top" align="left">STH</td>
<td valign="top" align="left">27</td>
</tr>
<tr>
<td valign="top" align="left">78 (Pair 2)</td>
<td valign="top" align="left">C9orf72-ALS</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">66</td>
<td valign="top" align="left">STH</td>
<td valign="top" align="left">31.7</td>
</tr>
<tr>
<td valign="top" align="left">ALS52 (pair 3)</td>
<td valign="top" align="left">C9orf72-ALS</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">49</td>
<td valign="top" align="left">Cedars-Sinai</td>
<td valign="top" align="left">57</td>
</tr>
</tbody>
</table></table-wrap>
<p>To achieve neuronal differentiation, iNPC&#x2019;s were plated into six well plates and allowed to reach &#x223C;80% confluency. iNeuron differentiation was started by switching to DMEM: F12 media with GlutaMAX supplemented with 1% N2, 2% B27 and 2.5 &#x03BC;M DAPT (Sigma). After 48 h, DAPT was removed and replaced in media with 1 &#x03BC;M retinoic acid (Sigma), 1 &#x03BC;M smoothened agonist (Millipore) and 2.5 &#x03BC;M Forskolin (Cayman Chemical). Cells were maintained in this media for 16 days before being used in assays.</p>
<p>To assess dependency of neurons on OXPHOS or glycolysis for ATP production throughout differentiation, cells were treated with 10 &#x03BC;M oligomycin to inhibit OXPHOS, 50 mM 2-deoxyglucose to inhibit glycolysis, or both simultaneously for 30 min at 37&#x00B0;C, before ATP measurements were performed with the ATPlite Luminescence Assay as per the manufacturers instructions (Revvity). From this we can calculate the percentage of ATP levels, setting untreated at each time point to 100%.</p>
<p>For deferiprone treatments, cells were treated with either 500 &#x03BC;M or 1 mM for 24 h prior to fixing cells and immunostaining. For oligomycin/antimycin A treatments, cells were treated with 10 &#x03BC;M oligomycin and 4 &#x03BC;M antimycin A for 1 h before fixing cells and immunostaining. For nilotinib, BL-918 and A769662 treatments, cells were treated with 1 or 5 &#x03BC;M nilotinib/BL918, or 1 or 10 &#x03BC;M A769662, for 24 h prior to fixing cells and immunostaining. For autophagy induction, cells were treated with either 200 nM bafilomycin A1, 1 &#x03BC;M rapamycin, 15 &#x03BC;M chloroquine or 1&#x03BC;M rapamycin/15 &#x03BC;M chloroquine in combination for 5 h before fixing cells and immunostaining.</p>
</sec>
<sec id="S2.SS2">
<title>Live imaging of iNeurons</title>
<p>For mitochondrial membrane potential (MMP) measurements, cells were stained for 1 h with 20 &#x03BC;M Hoechst, 80 nM TMRM and 200 nM MitoTracker Green diluted in MEM. Cells were imaged using an Opera Phenix high content imaging system (Revvity) with a 40x water immersion objective across 15 fields of view and 6 Z stacks. Cells were maintained at 37&#x00B0;C and 5% CO<sub>2</sub> throughout imaging. Image analysis was performed using a custom protocol in Harmony 4.9 (Revvity).</p>
<p>For live mitophagy flux measurements, cells were stained for 1 h with 20 &#x03BC;M Hoechst, 80 nM tetramethylrhodamine methyl ester (TMRM), 50 nM Lysotracker DeepRed and 200 nM MitoTracker Green diluted in MEM. For induced cells, 10 &#x03BC;M oligomycin and 4 &#x03BC;M Antimycin A were added immediately before imaging. Cells were imaged using an Opera Phenix high content imaging system (Revvity) with a 40x water immersion objective across 9 fields of view and 4 Z stacks, with imaging repeated every 30 min for 90 min. Cells were maintained at 37&#x00B0;C and 5% CO<sub>2</sub> throughout imaging. Image analysis was performed using a custom protocol in Harmony 4.9 (Revvity).</p>
</sec>
<sec id="S2.SS3">
<title>Respirometry measurements</title>
<p>iNeurons were plated at 20,000 cells per well in a fibronectin-coated 96-well Seahorse cell culture plate (Agilent) in iNeuron media and incubated overnight at 37&#x00B0;C and 5% CO<sub>2</sub>. The following day, media was replaced with Seahorse media pH 7.4 (Agilent) and cells were incubated at 37&#x00B0;C in a non-CO<sub>2</sub> incubator for 60 min prior to beginning oxygen consumption readings. The effect on oxygen consumption rate (OCR) was measured 4 times for 2.5 min each in the absence and presence of 1.5 &#x03BC;M oligomycin (to determine coupled respiration), 1.5 &#x03BC;M CCCP (to determine maximal respiration and spare respiratory capacity), and finally 0.5 &#x03BC;M rotenone in combination with 0.5&#x03BC;M antimycin A (to determine proton leak and non-mitochondrial oxygen consumption). Cells were fixed in 4% PFA in PBS after the assay, stained with 10 &#x03BC;M Hoechst for 5 min and imaged on an InCell Analyser (GE Healthcare) to determine cell numbers per well for normalization.</p>
</sec>
<sec id="S2.SS4">
<title>Immunofluorescent staining</title>
<p>On day 18 of differentiation, cells were fixed in 4% PFA for 30 min. After PBS washes, cells were permeabilized in PBS with 1% Tween (PBST) and 0.1% Triton X-100 for 10 min. Cells were blocked in 5% horse serum in PBST for 1 h and incubated with primary antibodies in PBST overnight at 4&#x00B0;C. Cells were washed in PBST and incubated with secondary antibodies for 1 h at room temperature. Nuclei were stained with 1 &#x03BC;M Hoechst for 5 min prior to imaging. Cells were imaged using an Opera Phenix high content imaging system (Revvity) with a 40x water immersion objective across 20 fields of view and 6 Z stacks. Details of primary and secondary antibodies are provided in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>List of antibodies used in this study.</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left">Antibody</th>
<th valign="top" align="left">Species</th>
<th valign="top" align="left">Dilution used</th>
<th valign="top" align="left">Supplier</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">TOM20</td>
<td valign="top" align="left">Mouse</td>
<td valign="top" align="left">1:1,000</td>
<td valign="top" align="left">BD Biosciences (612278)</td>
</tr>
<tr>
<td valign="top" align="left">LC3</td>
<td valign="top" align="left">Rabbit</td>
<td valign="top" align="left">1:1,000</td>
<td valign="top" align="left">MBL (PM026)</td>
</tr>
<tr>
<td valign="top" align="left">LAMP2</td>
<td valign="top" align="left">Mouse</td>
<td valign="top" align="left">1:1,000</td>
<td valign="top" align="left">Santa Cruz (sc-18822)</td>
</tr>
<tr>
<td valign="top" align="left">P62</td>
<td valign="top" align="left">Rabbit</td>
<td valign="top" align="left">1:1,000</td>
<td valign="top" align="left">Proteintech (18420-1-AP)</td>
</tr>
<tr>
<td valign="top" align="left">NDP52</td>
<td valign="top" align="left">Rabbit</td>
<td valign="top" align="left">1:1,000</td>
<td valign="top" align="left">Proteintech (12229-1-AP)</td>
</tr>
<tr>
<td valign="top" align="left">BNIP3</td>
<td valign="top" align="left">Rabbit</td>
<td valign="top" align="left">1:200 (immunostaining) 1:1,000 (Western blot)</td>
<td valign="top" align="left">Abcam (ab109362)</td>
</tr>
<tr>
<td valign="top" align="left">BNIP3L</td>
<td valign="top" align="left">Rabbit</td>
<td valign="top" align="left">1:250 (immunostaining) 1:1,000 (Western blot)</td>
<td valign="top" align="left">Abcam (8,399)</td>
</tr>
<tr>
<td valign="top" align="left">Phospho-BNIP3L (serine 81)</td>
<td valign="top" align="left">Rabbit</td>
<td valign="top" align="left">1:1,000</td>
<td valign="top" align="left">Abcam (ab208190)</td>
</tr>
<tr>
<td valign="top" align="left">HSP60</td>
<td valign="top" align="left">Chicken</td>
<td valign="top" align="left">1:5,000</td>
<td valign="top" align="left">Thermofisher (PA5-143751)</td>
</tr>
<tr>
<td valign="top" align="left">ULK1</td>
<td valign="top" align="left">Mouse</td>
<td valign="top" align="left">1:200</td>
<td valign="top" align="left">Santa Cruz (sc390904)</td>
</tr>
<tr>
<td valign="top" align="left">C9orf72</td>
<td valign="top" align="left">Rabbit</td>
<td valign="top" align="left">1:1,000</td>
<td valign="top" align="left">Atlas (HPA023873)</td>
</tr>
<tr>
<td valign="top" align="left">Tubulin (alpha)</td>
<td valign="top" align="left">Mouse</td>
<td valign="top" align="left">1:5,000</td>
<td valign="top" align="left">Invitrogen (62204)</td>
</tr>
<tr>
<td valign="top" align="left">GAPDH</td>
<td valign="top" align="left">Mouse</td>
<td valign="top" align="left">1:2,000</td>
<td valign="top" align="left">Proteintech (60004-1)</td>
</tr>
<tr>
<td valign="top" align="left">&#x03B2;III tubulin</td>
<td valign="top" align="left">Chicken</td>
<td valign="top" align="left">1:1,000</td>
<td valign="top" align="left">Merck (AB9354)</td>
</tr>
<tr>
<td valign="top" align="left">MAP2</td>
<td valign="top" align="left">Rabbit</td>
<td valign="top" align="left">1:1,000</td>
<td valign="top" align="left">Abcam (ab32454)</td>
</tr>
<tr>
<td valign="top" align="left">NeuN</td>
<td valign="top" align="left">Rabbit</td>
<td valign="top" align="left">1:1,000</td>
<td valign="top" align="left">Abcam (ab177487)</td>
</tr>
<tr>
<td valign="top" align="left">Anti-mouse Alexa 488 secondary antibody</td>
<td valign="top" align="left">Goat</td>
<td valign="top" align="left">1:1,000</td>
<td valign="top" align="left">A32723</td>
</tr>
<tr>
<td valign="top" align="left">Anti-rabbit Alexa 568 secondary antibody</td>
<td valign="top" align="left">Donkey</td>
<td valign="top" align="left">1:1,000</td>
<td valign="top" align="left">A11037</td>
</tr>
<tr>
<td valign="top" align="left">Anti-chicken Alexa 488 secondary antibody</td>
<td valign="top" align="left">Goat</td>
<td valign="top" align="left">1:1,000</td>
<td valign="top" align="left">A11039</td>
</tr>
<tr>
<td valign="top" align="left">Anti-rabbit HRP secondary antibody</td>
<td valign="top" align="left">Goat</td>
<td valign="top" align="left">1:5,000</td>
<td valign="top" align="left">Dako (P044801-2)</td>
</tr>
<tr>
<td valign="top" align="left">Anti-mouse HRP secondary antibody</td>
<td valign="top" align="left">Goat</td>
<td valign="top" align="left">1:10,000</td>
<td valign="top" align="left">Abcam (ab97040)</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S2.SS5">
<title>Immunoblotting</title>
<p>Day 18 iNeuron pellets were resuspended in 50 &#x03BC;L lysis buffer consisting of RIPA buffer, protease inhibitor cocktail (Sigma) and phosphatase inhibitor cocktail (Sigma). After 30 min incubating on ice, pellets were centrifuged at 13,000 rpm for 20 min at 4&#x00B0;C. Supernatant was collected and protein content was determined using a Bradford assay as per the manufacturer&#x2019;s instructions. All samples were denatured at 95&#x00B0;C for 5 min in Laemmli buffer. A 20 &#x03BC;g of protein was loaded on 7.5% or 12% SDS-polyacrylamide gels for resolving, with protein electrophoresis performed using Mini-PROTEAN Tetra Handcast system (Bio-Rad). Proteins were transferred to PVDF membranes (Millipore) at 250 mA for 60 min. Membranes were blocked in 5% milk or BSA in tris buffered saline with Tween20 (TBST). Details of primary and secondary antibodies are provided in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
</sec>
<sec id="S2.SS6">
<title>Southern blot protocol for <italic>C9ORF72</italic>-repeat expansions</title>
<p>DNA was extracted from iAstrocyte pellets using the GenElute&#x2122; Mammalian Genomic DNA Miniprep Kit (Sigma-Aldrich, G1N350) following manufacturer&#x2019;s instructions. A 5 &#x03BC;g of DNA was digested using Alul and Ddel restriction enzymes (New England Biolabs) at 37&#x00B0;C for 16 h and electrophoresed in a 1% agarose gel in 1 x TAE. The agarose gel was denatured in 1.5 M NaCl, 0.5 NaOH and neutralized in 3 M NaCl, 0.5 M Tris, pH 7.5. DNA was then transferred to a positively charged nylon membrane (Amersham Hybond N+) by capillary blotting overnight and cross-linked by UV irradiation. A DIG-labeled oligonucleotide probe [5&#x2019; (DIG)-(GGGGCC) &#x00D7; 5-(DIG) 3&#x2019;] was ordered from Thermo Fisher Scientific and denatured at 95&#x00B0;C for 10 min and immediately quenched in ice before use. After 4 h pre-hybridization in DIG Easy Hyb<italic>&#x2122;</italic> solution (Sigma-Aldrich) at 48&#x00B0;C, the membrane was hybridized with 100 ng/ml of probe and fresh DIG Easy Hyb<italic>&#x2122;</italic> solution at 48&#x00B0;C overnight in a rotating hybridization oven. The membrane was washed with 2X SSC 0.1% SDS at 48&#x2013;65&#x00B0;C for 10 min twice, then 0.5 X SSC 0.1% SDS for 15 min, and 0.2 X SSC 0.1% SDS for 15 min at 65&#x00B0;C. The membrane was then washed and blocked using the DIG Wash and Block Buffer Set (Roche) following manufacturer&#x2019;s instructions, incubated with anti-DIG AP Fab fragments (Roche) at 1:20,000 for 30 min, then washed three times for 10 min in wash buffer. The membrane was then placed in a detection buffer followed by application of CSPD ready-to-use chemiluminescent substrate (Roche), sealed in a plastic sheet, and exposed for 3 h on chemiluminescent film (Amersham, Cat No. 28906837). <italic>C9ORF72</italic>-repeat expansions were quantified from the Southern blot film using an adapted semi-automated protocol (<xref ref-type="bibr" rid="B41">Suh et al., 2015</xref>).</p>
</sec>
<sec id="S2.SS7">
<title>Statistical analysis</title>
<p>Statistical analyses were performed in Prism 10.0 (GraphPad). Normality of data was confirmed with Shapiro-Wilk test. If data were normally distributed, two-tailed unpaired <italic>t</italic>-tests or two-way ANOVAs with Tukey&#x2019;s multiple comparisons test were performed. A <italic>p</italic> &#x003C; 0.05 was considered significant. If data were non-normally distributed, Mann-Whitney U tests were performed.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>C9orf72-HRE reduces mitochondrial membrane potential but not mitochondrial oxygen consumption</title>
<p>We first sought to understand mitochondrial function in C9orf72-ALS iNeurons. We have previously shown that this iNeuron differentiation protocol yields neurons that stain positive for pan-neuronal markers &#x03B2;-III tubulin, MAP2 and NeuN, resulting in 83% of neurons at day18 staining positive for &#x03B2;-III tubulin, 75% positive for MAP2 and 52% positive for NeuN (<xref ref-type="bibr" rid="B4">Au et al., 2024</xref>; <xref ref-type="supplementary-material" rid="FS1">Supplementary Figure 1A</xref>), indeed the neurons used in <xref ref-type="bibr" rid="B4">Au et al. (2024)</xref> were generated at the same time from the same lines as those used in this study. Furthermore, we assessed the C9orf72 repeat expansion length in these patient iNeurons. C9-ALS lines had repeat lengths of &#x003E; 1,200 (line 183), 961 (line 52), and 882 (line 78) (<xref ref-type="supplementary-material" rid="FS1">Supplementary Figure 1B</xref>). To assess the relative contribution of glycolysis and OXPHOS to ATP levels in the iNeurons, we measured ATP levels after treatment with inhibitors of glycolysis (2-deoxyglucose) and OXPHOS (oligomycin). In agreement with previous reports, iNPC&#x2019;s were found to be heavily glycolytic, with mitochondrial inhibition only reducing ATP levels by &#x223C;19% relative to vehicle treated controls (<xref ref-type="bibr" rid="B38">Schwartzentruber et al., 2020</xref>). By the end of differentiation, oligomycin led to larger reductions in ATP levels, down to 55% of UT levels in control iNeurons and 61% in C9orf72 iNeurons (<xref ref-type="fig" rid="F1">Figures 1A,B</xref>). Therefore, these iNeurons have begun the metabolic switch, however, they are still reliant on glycolysis for 50% of their ATP production. No significant difference was observed in ATP levels between control and C9orf72-ALS iNeurons (<xref ref-type="supplementary-material" rid="FS1">Supplementary Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Deficits in mitochondrial function in C9orf72-ALS iNeurons. <bold>(A,B)</bold> ATP production dependent on glycolysis and oxidative phosphorylation throughout differentiation in control <bold>(A)</bold> and C9orf72-ALS <bold>(B)</bold> iNeurons. <bold>(C)</bold> Representative images of control and C9orf72-ALS iNeurons stained with mitochondrial membrane potential marker TMRM. Scale bar = 100 &#x03BC;M. <bold>(D)</bold> Quantification of mitochondrial membrane potential (mean &#x00B1; SD, Wilcoxon test). All quantification was performed on three different differentiations of 2&#x2013;3 control and C9orf72-ALS iNeuron lines, each data point represents the mean of three unique differentiations of each control/C9orf72-ALS line, each taken from a mean of approximately 100&#x2013;500 cells. &#x002A;<italic>p</italic> &#x003C; 0.05.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fncel-20-1731669-g001.tif">
<alt-text content-type="machine-generated">Bar graphs and microscopy images depicting ATP production and mitochondrial membrane potential (MMP) in cells. Graph A shows control ATP levels over time with different treatments. Graph B shows ATP levels in C9orf72-ALS conditions. Image C presents fluorescent microscopy of control and C9orf72-ALS cells stained with Hoechst and TMRM. Graph D compares MMP between control and C9orf72-ALS cells, indicating a significant reduction in the latter. The data suggest altered cellular energy dynamics associated with C9orf72-ALS.</alt-text>
</graphic>
</fig>
<p>Next, we stained iNeurons with TMRM and measured fluorescence intensity as an indicator of mitochondrial membrane potential (MMP). We observed a significant decrease in MMP (<xref ref-type="fig" rid="F1">Figures 1C,D</xref>) (<italic>p</italic> = 0.0273). We simultaneously measured mitochondrial morphology using a membrane potential independent dye and in fixed cells using mitochondrial staining of TOM20, however, no differences in mitochondrial area, length, width: length, roundness or density were observed (<xref ref-type="supplementary-material" rid="FS2">Supplementary Figure 2</xref>). When comparing the distributions of mitochondrial sizes and morphologies we also found no significant differences between control and C9orf72-ALS iNeurone mitochondrial populations (<xref ref-type="supplementary-material" rid="FS2">Supplementary Figures 2G&#x2013;J</xref>). Cell size was increased in the C9orf72 iNeurons, however, (<xref ref-type="supplementary-material" rid="FS1">Supplementary Figure 1C</xref>) (<italic>p</italic> = 0.0056). To further interrogate mitochondrial function, we used the Seahorse Bioanalyser to investigate mitochondrial oxygen consumption under basal and stressed conditions. Due to variability between patient lines, we observed no consistent differences in basal OCR, proton leak, coupled respiration, maximal respiration or spare respiratory capacity (<xref ref-type="supplementary-material" rid="FS3">Supplementary Figure 3</xref>). Given the iNeurons used in this study still relied on glycolysis for over 50% of ATP production, we also assessed extracellular acidification rate (ECAR) alongside OCR during this assay to provide an indication of glycolytic rate in these iNeurons. We found no significant differences in basal glycolytic rate, glycolytic capacity or glycolytic reserve in C9orf72-ALS iNeurons relative to controls (<xref ref-type="supplementary-material" rid="FS3">Supplementary Figure 3</xref>).</p>
</sec>
<sec id="S3.SS2">
<title>C9orf72-HRE leads to reduced basal mitophagy specifically engulfment by the autophagosome</title>
<p>Initial assessments of mitophagy were performed by staining for the mitochondrial marker TOM20 and the autophagosomal marker LC3 in fixed iNeurons. A significant decrease in percentage of TOM20-positive mitochondria co-localizing with autophagosomes was observed in C9orf72-ALS iNeurons relative to controls (<xref ref-type="fig" rid="F2">Figures 2A,B</xref>) (<italic>p</italic> = 0.0036). Interestingly, the C9orf72-ALS patient line with the longest repeat length of &#x003E; 1,200 exhibited the most severe reduction in mitochondria co-localizing with autophagosomes. In contrast, when we investigated mitochondria-lysosome co-localization in iNeurons using live imaging, under basal conditions and after induction with oligomycin-antimycin A, we observed no differences in the number of mitochondria colocalizing with lysosomes (<xref ref-type="fig" rid="F2">Figures 2C&#x2013;E</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Mitophagy deficit in C9orf72-ALS iNeurons. <bold>(A)</bold> Representative images of control and C9orf72-ALS iNeurons stained with mitochondrial marker TOM20 (green) and autophagosomal marker LC3 (magenta). Scale bar = 100 &#x03BC;M. <bold>(B)</bold> Quantification of percentage of mitochondria co-localizing with autophagosomes (mean &#x00B1; SD, unpaired <italic>t</italic>-test). Each data point represents the mean of three unique differentiations of each control/C9orf72-ALS line, each taken from a mean of approximately 100&#x2013;500 cells. <bold>(C)</bold> Representative images of control and C9orf72-ALS iNeurons during mitophagy flux assay in untreated (UT) and induced (OA) conditions. Mitochondria in green, lysosomes in magenta. Scale bar = 100 &#x03BC;M. <bold>(D,E)</bold> Quantification of live mitophagy flux assay and induced: basal ratio. All quantification was performed on 3 different differentiations of 2&#x2013;3 control and C9orf72-ALS iNeuron lines. &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fncel-20-1731669-g002.tif">
<alt-text content-type="machine-generated">(A) Microscopic images showing control and C9orf72-ALS cells stained for TOM20, LC3, and Hoechst. (B) Bar graph depicting the percentage of LC3-positive TOM20 puncta, with control and C9orf72-ALS showing significant differences. (C) Images of control and C9orf72-ALS cells at different times showing MTG, LTDR, and Hoechst staining. (D) Graph of live mitophagy flux demonstrating mitochondrial presence in lysosomes over time. (E) Graph of induced to basal ratio over time for control and C9orf72-ALS.</alt-text>
</graphic>
</fig>
</sec>
<sec id="S3.SS3">
<title>C9orf72-HRE disrupts autophagy machinery</title>
<p>There have been multiple reports indicating a role for the C9orf72 protein and DPR&#x2019;s on autophagy initiation and autophagosome-lysosome fusion. We stained cells with the lysosomal marker LAMP2 and autophagosome marker LC3. We observed no differences in autophagosome-lysosome co-localization in iNeurons (<xref ref-type="fig" rid="F3">Figures 3A,B</xref>), however, we did observe a reduction in autophagosome density in C9orf72-ALS iNeurons (<xref ref-type="fig" rid="F3">Figure 3C</xref>) (<italic>p</italic> = 0.0056). Once again, the C9orf72-Als line with the most severe reduction is the line with the longest repeat length. We sought to confirm whether autophagy induction was impaired in these iNeurons by manipulating autophagy with well characterized autophagy modulators (<xref ref-type="bibr" rid="B18">Klionsky et al., 2021</xref>). iNeurons were treated with bafilomycin A1 or chloroquine, both of which block lysosome degradation of autophagosomes and their contents. Rapamycin was also used as an inhibitor of mTOR, to induce autophagy and autophagosome production, however, in these cells under these conditions rapamycin alone was not sufficient to induce, autophagosome production. There is some debate around the ability of rapamycin to induce autophagy in neurons (<xref ref-type="bibr" rid="B42">Tsvetkov et al., 2010</xref>; <xref ref-type="bibr" rid="B37">Rubinsztein and Nixon, 2010</xref>). However, treatment with bafilomycin and chloroquine did produce alterations in autophagic flux as expected. Treatments with bafilomycin and chloroquine led to significant increases in autophagosomes in control, but not C9orf72-ALS iNeurons (<xref ref-type="fig" rid="F3">Figure 3D</xref>) (<italic>p</italic> = 0.0004 for bafilomycin treatments and <italic>p</italic> = 0.0095 for chloroquine treatments in Control iNeurons). We observed no differences in lysosomal area or density in C9orf72-ALS iNeurons relative to controls (<xref ref-type="supplementary-material" rid="FS4">Supplementary Figures 4A&#x2013;C</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Autophagosome deficit in C9orf72-ALS iNeurons. <bold>(A)</bold> Representative images of control and C9orf72-ALS iNeurons stained with lysosomal marker LAMP2 (green) and autophagosomal marker LC3 (magenta). Scale bar = 100 &#x03BC;M. <bold>(B)</bold> Quantification of percentage of autophagosomes co-localizing with lysosomes (mean &#x00B1; SD, unpaired <italic>t</italic>-test). <bold>(C)</bold> Quantification of autophagosome density (mean &#x00B1; SD, unpaired <italic>t</italic>-test). <bold>(D)</bold> Quantification of autophagosome density after treatment with bafilomycin, rapamycin and chloroquine (mean &#x00B1; SD, 2-way ANOVA with Tukey&#x2019;s multiple comparisons test). Each data point represents the mean of three unique differentiations of each control/C9orf72-ALS line, each taken from a mean of approximately 100&#x2013;500 cells. All quantification was performed on 3 different differentiations of 3 control and C9orf72-ALS iNeuron lines. &#x002A;<italic>p</italic> &#x003C; 0.05, &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01, &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.0001.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fncel-20-1731669-g003.tif">
<alt-text content-type="machine-generated">Fluorescent microscopy images and graphs analyzing autophagy in control and C9orf72-ALS cells. Panel A shows LAMP2, LC3, and merged staining in cells. Panels B and C are bar graphs showing percentage of autolysosomes and autophagosome density, respectively, comparing control and C9orf72-ALS conditions. Panel D presents a bar graph comparing autophagosome density under different treatments: DMSO, Bafilomycin, Rapamycin, Chloroquine, and a combination of Rapamycin and Chloroquine in both control and C9orf72-ALS states. Significance is indicated by asterisks.</alt-text>
</graphic>
</fig>
</sec>
<sec id="S3.SS4">
<title>PINK1-Parkin and BNIP3/BNIP3L mitophagy pathways are not consistently dysregulated in C9orf72-ALS</title>
<p>We next sought to establish whether common mitophagy initiating pathways upstream of autophagosomal engulfment were disrupted in C9orf72-ALS. Previous studies have shown disruptions to PINK1/Parkin, BNIP3 and BNIP3L-dependent mitophagy in SOD1-ALS, TDP43-ALS, FUS-ALS and sporadic ALS (sALS) neurons (<xref ref-type="bibr" rid="B19">Lagier-Tourenne et al., 2012</xref>; <xref ref-type="bibr" rid="B32">Palomo et al., 2018</xref>; <xref ref-type="bibr" rid="B36">Rogers et al., 2017</xref>; <xref ref-type="bibr" rid="B40">Stribl et al., 2014</xref>). We observed no differences in Parkin co-localization with mitochondria in C9orf72-ALS iNeurons relative to controls, although there was variation between the <italic>C9orf72</italic>-ALS patient lines. Downstream of Parkin, we also observed no differences in phospho-ubiquitin accumulation at mitochondria in C9orf72-ALS iNeurons (<xref ref-type="fig" rid="F4">Figure 4</xref>). The recruitment of Sequestosome-Like Receptor proteins NDP52 and P62 were also not disrupted in C9orf72-ALS iNeurons (<xref ref-type="supplementary-material" rid="FS5">Supplementary Figure 5</xref>). Co-localization of BNIP3, BNIP3L and phospho-BNIP3L with mitochondria basally showed a trend toward being reduced, however, due to large variability between both controls and patients this did not reach statistical significance (<xref ref-type="fig" rid="F5">Figure 5</xref> and <xref ref-type="supplementary-material" rid="FS6">Supplementary Figure 6</xref>). After induction with the iron chelator deferiprone (DFP), BNIP3 and BNIP3L localization at the mitochondria was significantly increased in control and C9orf72-ALS iNeurons (<xref ref-type="fig" rid="F5">Figure 5</xref>) (<italic>p</italic> = 0.0017 in control iNeurons, <italic>p</italic> = 0.0011 in C9orf72-ALS iNeurons). Moreover, no changes in expression of BNIP3 and BNIP3L were observed via immunoblot (<xref ref-type="supplementary-material" rid="FS7">Supplementary Figures 7</xref>, <xref ref-type="supplementary-material" rid="FS8">8</xref>). Interestingly, we also observed a significant negative correlation between mitochondrial co-localization and protein expression levels in BNIP3L but not BNIP3 in our iNeuron lines (<xref ref-type="supplementary-material" rid="FS7">Supplementary Figures 7E,F</xref>), (<italic>p</italic> = 0.0014). Interestingly, as with the mitochondria colocalizing with mitochondria and autophagosome density, the line with the longest C9orf72 repeat expansion showed the lowest BNIP3L levels at mitochondria and highest BNIP3L expression in total.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Parkin-dependent mitophagy is unaffected in C9orf72-ALS iNeurons. <bold>(A)</bold> Representative images of control and C9orf72-ALS iNeurons stained with mitochondrial marker TOM20 (green) and Parkin (magenta), under basal conditions and after mitophagy induction with oligomycin/antimycin A (OA) treatment. Scale bar = 100 &#x03BC;M. <bold>(B)</bold> Quantification of percentage of mitochondria staining with Parkin (mean &#x00B1; SD, unpaired <italic>t</italic>-test). Each data point represents the mean of three unique differentiations of each control/C9orf72-ALS line, each taken from a mean of approximately 100&#x2013;500 cells. <bold>(C)</bold> Representative images of control and C9orf72-ALS iNeurons stained with mitochondrial marker TOM20 (green) and phospho-ubiquitin (magenta), under basal conditions and after mitophagy induction with oligomycin/antimycin A (OA) treatment. Scale bar = 100 &#x03BC;M. <bold>(D)</bold> Quantification of percentage of mitochondria staining with phospho-ubiquitin (mean &#x00B1; SD, unpaired <italic>t</italic>-test). Each data point represents the mean of three unique differentiations of each control/C9orf72-ALS line, each taken from a mean of approximately 100&#x2013;500 cells. All quantification was performed on 3 different differentiations of 3 control and C9orf72-ALS iNeuron lines.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fncel-20-1731669-g004.tif">
<alt-text content-type="machine-generated">A. Microscopic images showing control and C9orf72-ALS cells labeled with TOM20 (green), Parkin (magenta in top panel), P-Ub (magenta in bottom panel), and Hoescht (blue), under basal and OA conditions. B. Bar graph displaying percentages of mitochondria with Parkin across different cell conditions. C. Similar microscopic images showing cells labeled with TOM20 (green), P-Ub (magenta), and Hoescht (blue). D. Bar graph displaying percentages of mitochondria with phospho-ubiquitin across different conditions. Statistical significance is indicated with &#x201C;ns&#x201D; for non-significant results.</alt-text>
</graphic>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>BNIP3-dependent and BNIP3L-dependent mitophagy is unaffected in C9orf72-ALS iNeurons. <bold>(A)</bold> Representative images of control and C9orf72-ALS iNeurons stained with mitochondrial marker TOM20 (green) and BNIP3 (magenta), under basal conditions and after mitophagy induction with deferiprone (DFP) treatment. Scale bar = 100 &#x03BC;M. <bold>(B)</bold> Quantification of percentage of mitochondria staining with BNIP3 (mean &#x00B1; SD, two-way ANOVA). Each data point represents the mean of three unique differentiations of each control/C9orf72-ALS line, each taken from a mean of approximately 100&#x2013;500 cells. <bold>(C)</bold> Representative images of control and C9orf72-ALS iNeurons stained with mitochondrial marker TOM20 (green) and BNIP3L (magenta), under basal conditions and after mitophagy induction deferiprone (DFP) treatment. Scale bar = 100 &#x03BC;M. <bold>(D)</bold> Quantification of percentage of mitochondria staining with BNIP3L (mean &#x00B1; SD, two-way ANOVA). Each data point represents the mean of three unique differentiations of each control/C9orf72-ALS line, each taken from a mean of approximately 100&#x2013;500 cells. All quantification was performed on 2&#x2013;3 different differentiations of 3 control and C9orf72-ALS iNeuron lines. &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fncel-20-1731669-g005.tif">
<alt-text content-type="machine-generated">Illustration showing two panels (A and C) of fluorescent microscopy images and two bar graphs (B and D). Panels A and C compare control and C9orf72-ALS cells, untreated and treated with 1mM DFP, stained for TOM20 (green), BNIP3 or BNIP3L (magenta), and Hoechst (blue). Graphs B and D display the percentage of mitochondria colocalized with BNIP3 and BNIP3L, respectively, under basal, DFP 500nM, and DFP 1mM conditions, indicating significant differences with asterisks.</alt-text>
</graphic>
</fig>
</sec>
<sec id="S3.SS5">
<title>ULK1 recruitment is disrupted in C9orf72-ALS iNeurons</title>
<p>C9orf72 has previously been shown to mediate the recruitment of the ULK1 complex to the early autophagosome (<xref ref-type="bibr" rid="B39">Sellier et al., 2016</xref>; <xref ref-type="bibr" rid="B45">Webster et al., 2016</xref>). We investigated co-localization of mitochondria with ULK1 to investigate whether its recruitment to mitochondria prior to mitophagy was disrupted. We observed a significant reduction in ULK1 puncta co-localizing with mitochondria (<xref ref-type="fig" rid="F6">Figure 6</xref>) (<italic>p</italic> = 0.0402). However, we observed no differences in ULK1 puncta density or expression via immunoblot (<xref ref-type="fig" rid="F6">Figure 6C</xref> and <xref ref-type="supplementary-material" rid="FS9">Supplementary Figures 9E,F</xref>). We also investigated whether increasing ULK1 activity would rescue autophagy deficits caused by this impaired recruitment. Treatment with the AMPK activator A769662 and nilotinib, a drug that has been previously shown to activate ULK1, had no impact on mitophagy or autophagosome production in control or C9orf72 iNeurons. The ULK1 activator BL-918 was the only compound that appeared to have any ability to increase mitophagy in both control and C9orf72-ALS neurons at the highest concentration (increasing mitophagy to 140.7% in control neurons relative to DMSO and increasing mitophagy from 46.3 to 61.7% in C9orf72 neurons relative to DMSO-treated control neurons) although this did not reach statistical significance due to a variable response across the various lines (<xref ref-type="supplementary-material" rid="FS9">Supplementary Figure 9</xref>). It should be noted here, however, we have not confirmed specific target engagement of these compounds in our model system. Moreover, we show no significant changes in C9orf72 expression in C9orf72-ALS iNeurons (<xref ref-type="supplementary-material" rid="FS1">Supplementary Figure 1</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption><p>ULK1 recruitment to mitochondria is reduced in C9orf72-ALS iNeurons. <bold>(A)</bold> Representative images of control and C9orf72-ALS iNeurons stained with mitochondrial marker HSP60 (green) and ULK1 (magenta). Scale bar = 100 &#x03BC;M. <bold>(B)</bold> Quantification of percentage of mitochondria staining with ULK1 (mean &#x00B1; SD, unpaired <italic>t</italic>-test). <bold>(C)</bold> Quantification of ULK1 puncta density (mean &#x00B1; SD, unpaired <italic>t</italic>-test). Each data point represents the mean of three unique differentiations of each control/C9orf72-ALS line, each taken from a mean of approximately 100&#x2013;500 cells. All quantification was performed on 2&#x2013;3 different differentiations of 3 control and C9orf72-ALS iNeuron lines. &#x002A;<italic>p</italic> &#x003C; 0.05.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fncel-20-1731669-g006.tif">
<alt-text content-type="machine-generated">Panel A shows fluorescent microscopy images comparing control and C9orf72-ALS cells. ULK1 (magenta), HSP60 (green), and nuclei (Hoechst, blue) are highlighted. Panels B and C present graphs. Panel B shows a bar graph of ULK1 recruitment to mitochondria, with controls having higher recruitment than C9orf72-ALS, indicated by an asterisk. Panel C shows ULK1 puncta density with no significant difference between control and C9orf72-ALS, marked as &#x201C;ns.&#x201D; Different symbols represent data from three sample sets.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>Multiple reports have indicated disrupted autophagy in models of C9orf72-ALS (<xref ref-type="bibr" rid="B5">Beckers et al., 2023</xref>; <xref ref-type="bibr" rid="B39">Sellier et al., 2016</xref>; <xref ref-type="bibr" rid="B45">Webster et al., 2016</xref>). Despite this, the potential impact of C9orf72-HRE mutations on mitophagy remains poorly understood. To address this, we have performed for the first time a comprehensive characterization of mitophagy in C9orf72-ALS iNeurons. Our findings indicate no disruption to mitophagy initiating pathways and suggest that disruption of the autophagy machinery is responsible for reduced basal mitophagy observed in C9orf72-ALS.</p>
<p>We investigated mitochondrial function and morphology in control and C9orf72-ALS iNeurons. Although we observed a significant decrease in MMP, when performing respirometry analysis we observed no significant changes in oxygen consumption (<xref ref-type="fig" rid="F1">Figure 1D</xref> and <xref ref-type="supplementary-material" rid="FS3">Supplementary Figure 3</xref>). Moreover no changes in mitochondrial morphology were observed (<xref ref-type="supplementary-material" rid="FS2">Supplementary Figure 2</xref>). Several previous reports have shown reductions in either oxygen consumption or MMP in C9orf72 models (reviewed by <xref ref-type="bibr" rid="B20">Lee et al., 2024</xref>). Reductions in basal oxygen consumption and MMP were observed in C9orf72-KO MEF&#x2019;s, which were accompanied by reductions in Complex I activity and exacerbated by increasing OXPHOS reliance with substitution of glucose for galactose in culture media (<xref ref-type="bibr" rid="B44">Wang et al., 2021</xref>). These findings have also been replicated in iPSC-derived motor neurons (<xref ref-type="bibr" rid="B26">Mehta et al., 2021</xref>). This apparent discord between MMP and respirometry readings in cells from this study could be due to changes in expression or activity in OXPHOS complexes and may become more pronounced if cells were pushed to greater reliance on mitochondria for ATP production. The identified deficit in MMP is small in the C9orf72-ALS iNeurons and hence over the relatively short differentiation of these cells, may not result in more detrimental consequences. It is also important to note the C9orf72-ALS line with the longest repeat length did not have the most severe MMP deficit, unlike the changes in autophagy and mitophagy we identified. This may indicate different mechanisms are responsible for the mitochondrial functional abnormalities. More detailed analyses of OXPHOS complex function and expression in C9orf72-ALS patient derived models, particularly complex I, may help determine if any of these complexes are uniquely affected by the C9orf72-HRE and are possible targets for therapeutic intervention.</p>
<p>Prior to this study, the impact of C9orf72-ALS on mitophagy was poorly understood. Ectopic expression of the G4C2-HRE in <italic>Drosophila</italic> has previously been shown to reduce mitophagy (<xref ref-type="bibr" rid="B4">Au et al., 2024</xref>). However, the cellular mechanisms causing this mitophagy deficit were not explored. There have been multiple reports indicating disruptions to PINK1/Parkin-mitophagy and BNIP3/BNIP3L-dependent mitophagy in TDP43-ALS, SOD1-ALS and sALS in iPSC-neurons, mouse neurons and patient peripheral blood mononuclear cells (PBMC&#x2019;s) (<xref ref-type="bibr" rid="B3">Araujo et al., 2020</xref>; <xref ref-type="bibr" rid="B19">Lagier-Tourenne et al., 2012</xref>; <xref ref-type="bibr" rid="B32">Palomo et al., 2018</xref>; <xref ref-type="bibr" rid="B36">Rogers et al., 2017</xref>; <xref ref-type="bibr" rid="B40">Stribl et al., 2014</xref>). Equally, despite conflicting reports, the contribution of the C9orf72-HRE to disrupting autophagy machinery has also been previously described, with reports indicating changes to lysosome function, autophagosome-lysosome fusion and autophagosome production (<xref ref-type="bibr" rid="B5">Beckers et al., 2023</xref>; <xref ref-type="bibr" rid="B39">Sellier et al., 2016</xref>; <xref ref-type="bibr" rid="B45">Webster et al., 2016</xref>; <xref ref-type="bibr" rid="B49">Yang et al., 2016</xref>). These previous findings highlight the importance of identifying which specific areas of the mitophagic pathway might be affected to best inform attempts at therapeutic intervention.</p>
<p>PINK1/Parkin-dependent mitophagy is the most well characterized mitophagy pathway, typically triggered when PINK1 stabilizes in the mitochondrial membrane upon mitochondrial injury or depolarization (<xref ref-type="bibr" rid="B17">Jin and Youle, 2012</xref>). Subsequently Parkin is recruited, leading to the accumulation of phospho-ubiquitin chains on outer mitochondrial membrane proteins. Previous reports have suggested PINK1/Parkin-dependent mitophagy may be disrupted in ALS, with TDP43-ALS, FUS-ALS and sALS patient derived neurons displaying reduced Parkin expression (<xref ref-type="bibr" rid="B19">Lagier-Tourenne et al., 2012</xref>). SOD1 and TDP43 mouse models also display reductions in Parkin expression (<xref ref-type="bibr" rid="B40">Stribl et al., 2014</xref>; <xref ref-type="bibr" rid="B36">Rogers et al., 2017</xref>). Previous studies have demonstrated differing Parkin dependent mitophagy levels dependent on the metabolic status of the cells (<xref ref-type="bibr" rid="B43">Van Laar et al., 2011</xref>; <xref ref-type="bibr" rid="B28">Montava-Garriga et al., 2020</xref>; <xref ref-type="bibr" rid="B38">Schwartzentruber et al., 2020</xref>). Given the neurons utilized in this study still produced a significant amount of their ATP through glycolysis, this may have influenced the observed phenotypes. Further experiments to determine the impact of oxidative status of the neurons on Parkin-dependent mitophagy would also be useful in these models to determine the impact on this mitophagy pathway.</p>
<p>BNIP3 and BNIP3L have both been identified as mitophagy receptors that act independently of ubiquitination and have been shown to regulate basal mitophagy (<xref ref-type="bibr" rid="B12">Elcocks et al., 2023</xref>). Previous studies have identified hypoxia and iron chelation as inducers of BNIP3 and BNIP3L -dependent mitophagy (<xref ref-type="bibr" rid="B1">Allen et al., 2013</xref>; <xref ref-type="bibr" rid="B13">Ganley and Simonsen, 2022</xref>). We show that under basal conditions, and after induction with deferiprone, there are no differences in BNIP3 or BNIP3L recruitment to mitochondria (<xref ref-type="fig" rid="F5">Figure 5</xref>). Moreover, no differences in expression of either protein were observed under basal conditions (<xref ref-type="supplementary-material" rid="FS7">Supplementary Figure 7</xref>). However, due to variability in C9orf72-ALS iNeuron lines, further investigations in a larger cohort of patient lines would be useful to accurately establish whether the trending decrease in BNIP3L localization to mitochondria is limited to a small number of patients or widespread in C9orf72-ALS. This will be particularly important as the C9orf72-ALS line which has the most severe reduction in BNIP3L colocalization at the mitochondria is the line with the longest repeat expansion. This patient also had the shortest onset to death time, hence suggesting a more aggressive disease progression. This would be interesting to investigate further in an expanded cohort to understand the mechanisms which correlate with repeat length and disease severity in thinking about targeting these pathways therapeutically. Interestingly, we observed a negative correlation between mitochondrial co-localization and expression levels of BNIP3L but not BNIP3 (<xref ref-type="supplementary-material" rid="FS7">Supplementary Figures 7E,F</xref>), (<italic>p</italic> = 0.0014 for BNIP3L). Given BNIP3L can interact with other autophagy pathways, this suggests higher levels of BNIP3L under basal conditions may be due to its interactions with other autophagy pathways, something that could warrant further investigation in these iNeurons (<xref ref-type="bibr" rid="B22">Li et al., 2021</xref>). We also investigated localization of BNIP3L phosphorylated at serine-81 to mitochondria (<xref ref-type="supplementary-material" rid="FS6">Supplementary Figure 6</xref>). Although we found no significant difference between control and C9orf72-ALS iNeurons, there were notable reductions in some C9orf72-ALS iNeuron lines relative to their matched controls (<xref ref-type="supplementary-material" rid="FS6">Supplementary Figure 6B</xref>). Phosphorylation of BNIP3L has been shown to enhance its function in mitophagy (<xref ref-type="bibr" rid="B34">Poole et al., 2021</xref>). Again, expanding the cohort size and a more extensive investigation of multiple phosphorylation sites could help identify if reductions in BNIP3L activity, but not expression or mitochondrial co-localization, might impact basal mitophagy in C9orf72-ALS. The drug used to induce BNIP3/BNIP3L-dependent mitophagy in this study, deferiprone, has been assessed in a phase I clinical trial in ALS patients with a phase II/III trial ongoing (<xref ref-type="bibr" rid="B29">Moreau et al., 2018</xref>). While the treatment conditions used in this study are a chronic, high dose treatment, we demonstrate increases in autophagy and mitophagy, in agreement with previous work, which may be beneficial in ALS patients if these effects can be achieved with lower doses of deferiprone (<xref ref-type="bibr" rid="B1">Allen et al., 2013</xref>).</p>
<p>We identified a deficit in ULK1 recruitment to mitochondria in C9orf72-ALS iNeurons and tried to circumvent this by increasing ULK1 activation by treatment with the compounds nilotinib, BL-918 and A769662. Nilotinib and A769662 have both been shown to activate AMPK leading to ULK1 activation, whilst BL-918 has been shown to activate ULK1 directly (<xref ref-type="bibr" rid="B15">Goransson et al., 2007</xref>; <xref ref-type="bibr" rid="B31">Ouyang et al., 2018</xref>; <xref ref-type="bibr" rid="B50">Yu et al., 2013</xref>). It is important to note, however, we did not measure target engagement of any of these compounds in this study; hence a more detailed study measuring target engagement of small molecules along with genetic manipulation of this pathway is warranted to understand this fully. Interestingly, inhibition of mTOR with rapamycin, a suppressor of ULK1 activity, had no effect in either control or C9orf72-ALS iNeurons. Several previous reports have indicated that inhibition of mTOR with rapamycin or starvation does not induce autophagy in neurons, matching our own data in another neuronal model (<xref ref-type="bibr" rid="B25">Maday and Holzbaur, 2016</xref>; <xref ref-type="bibr" rid="B42">Tsvetkov et al., 2010</xref>). AMPK activation has recently been shown to enhance clearance of damaged and dysfunctional mitochondria, via Parkin-dependent mitophagy and independently of ULK1, while simultaneously reducing BNIP3L -dependent clearance of functional mitochondria (<xref ref-type="bibr" rid="B23">Longo et al., 2024</xref>). These findings warrant a more detailed investigation of AMPK activation as a therapeutic target in C9orf72-ALS iNeuron models.</p>
<p>The morphology and quantity of lysosomes was also measured; however, no significant differences were observed (<xref ref-type="supplementary-material" rid="FS4">Supplementary Figure 4</xref>). Increases in lysosome size and number have previously been identified in C9orf72-ALS neurons and C9orf72-KO HEK293T cells (<xref ref-type="bibr" rid="B2">Amick et al., 2016</xref>; <xref ref-type="bibr" rid="B5">Beckers et al., 2023</xref>). Previous reports in C9orf72-ALS neurons do not appear to be driven by C9orf72 expression and may be caused by different levels of DPR&#x2019;s between their model and the iNeuron model used in this study. Accumulation of autolysosomes has also been reported in <italic>Drosophila</italic> models of C9orf72-ALS expressing DPR&#x2019;s (<xref ref-type="bibr" rid="B47">Xu et al., 2023</xref>). Although no changes in lysosome morphology were observed, changes to lysosomal function were not investigated in this study and cannot be excluded as a contributor to autophagy and mitophagy deficits.</p>
<p>We have identified a deficit in autophagosome production in C9orf72-ALS iNeurons, in agreement with previous reports (<xref ref-type="bibr" rid="B45">Webster et al., 2016</xref>; <xref ref-type="bibr" rid="B39">Sellier et al., 2016</xref>). Although we hypothesized that reductions in C9orf72 protein expression may be responsible, as a result of the C9orf72-HRE, we did not observe reductions in C9orf72 expression (<xref ref-type="supplementary-material" rid="FS1">Supplementary Figure 1</xref>). These findings suggest toxic gain-of-function mechanisms associated with the C9orf72-HRE are primarily responsible for driving autophagosomal deficits and may also impact ULK1 recruitment alongside the C9orf72-SMCR8 complex as previously described (<xref ref-type="bibr" rid="B45">Webster et al., 2016</xref>; <xref ref-type="bibr" rid="B39">Sellier et al., 2016</xref>). Recent studies have indicated that toxic gain-of-function aspects of the C9orf72-HRE, such as DPR production, can contribute to autophagosome and lysosomal dysfunction in C9orf72-ALS. Autophagy deficits have been reported in patient motor neurons but not motor neurons with C9orf72 knockout (<xref ref-type="bibr" rid="B5">Beckers et al., 2023</xref>). Poly-PR and poly-GR production can disrupt autophagosome production by enhancing the BCL2-Beclin1 interaction, thereby inhibiting formation of the PIK3C3 complex, downstream of ULK1 in autophagy initiation (<xref ref-type="bibr" rid="B48">Xu et al., 2024</xref>). DPR expression in <italic>Drosophila</italic> neurons leads to accumulation of autolysosomes, suggesting that DPR&#x2019;s interfere with lysosomal degradation (<xref ref-type="bibr" rid="B47">Xu et al., 2023</xref>). Taken together, these findings indicate C9orf72 loss and gain of function mechanisms work separately to impair autophagy and highlight the importance of further work in models collectively studying C9orf72 mechanisms, ideally in patient-derived models, to better elucidate any potential corrective therapeutic approaches.</p>
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<sec id="S5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="FS1">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="S6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>For the iNeuron work, informed consent was obtained from all participants before collection of fibroblast biopsies (Sheffield Teaching Hospital (STH) study number: STH16573, Research Ethics Committee reference: 12/YH/0330); fibroblasts obtained by Cedars-Sinai are covered by an MTA. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="S7" sec-type="author-contributions">
<title>Author contributions</title>
<p>JL: Formal analysis, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. CM: Investigation, Methodology, Writing &#x2013; review &#x0026; editing. SG: Investigation, Methodology, Writing &#x2013; review &#x0026; editing. KR: Investigation, Methodology, Writing &#x2013; review &#x0026; editing. AS: Investigation, Methodology, Writing &#x2013; review &#x0026; editing. SA: Funding acquisition, Resources, Supervision, Writing &#x2013; review &#x0026; editing. LF: Resources, Writing &#x2013; review &#x0026; editing. PS: Funding acquisition, Resources, Supervision, Writing &#x2013; review &#x0026; editing. HM: Conceptualization, Formal analysis, Funding acquisition, Methodology, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="S9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="S10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
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<sec id="S11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="S12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fncel.2026.1731669/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fncel.2026.1731669/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.tif" id="FS1" mimetype="image/tiff">
<label>Supplementary Figure 1</label>
<caption><p>Neuronal characterization of iNeurons from controls and C9orf72-ALS. <bold>(A)</bold> Quantification of neuron marker expression, previously reported in <xref ref-type="bibr" rid="B4">Au et al. (2024)</xref>, highlighting differences in expression between different cell lines (mean &#x00B1; SD). <bold>(B)</bold> Southern blot of patient-derived C9 iNPC lines. Visualization by southern blotting of the C9 repeat expansion in healthy controls and C9-ALS iNPC lines. Bands for the C9-ALS lines correspond to 961 repeats for line 52, 882 repeats for line 78, and over 1,200 repeats for line 183. Bands below 2,000 bp are the result of non-specific binding of the probe to CG-rich regions of the genome. L-DNA Ladder; Ctrl-control plasmid pcDNA3.1/G4C2x45-3xV5, corresponding to a size of 5,527 bp when linear. <bold>(C)</bold> Quantification of ATP levels in control and C9orf72-ALS iNeurons (mean &#x00B1; SD). <bold>(D)</bold> Quantification of mean cell area in control and C9orf72-ALS iNeurons (mean &#x00B1; SD). <bold>(E)</bold> Three replicate Western blots for C9orf72 with GAPDH loading control. &#x002A; represents a non-specific band. <bold>(F)</bold> Quantification of C9orf72 normalized to GAPDH (mean &#x00B1; SD, unpaired <italic>t</italic>-test).</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_2.tif" id="FS2" mimetype="image/tiff">
<label>Supplementary Figure 2</label>
<caption><p>Mitochondrial morphology is unaffected in C9orf72-ALS iNeurons. <bold>(A)</bold> Representative images of control and C9orf72-ALS iNeurons stained with mitochondrial marker TOM20 (green). Scale bar = 100 &#x03BC;M. <bold>(B&#x2013;F)</bold> Quantification of segmented mitochondria area <bold>(B)</bold>, length <bold>(C)</bold>, roundness <bold>(D)</bold> width:length <bold>(E)</bold> and density <bold>(F)</bold> (mean &#x00B1; SD, unpaired <italic>t</italic>-test). Each data point represents the mean of three unique differentiation of each control/C9orf72-ALS line, each taken from a mean of approximately 100&#x2013;500 cells. <bold>(G&#x2013;J)</bold> Cumulative distribution functions for mitochondrial area <bold>(G)</bold>, length <bold>(H)</bold>, roundness <bold>(I)</bold> and width:length <bold>(J)</bold>. Distributions are for each individual imaged mitochondria from approximately 100&#x2013;500 cells of each unique differentiation of a control/C9orf72-ALS line, giving a total population of &#x223C;5 million control and &#x223C;5 million C9orf72-ALS mitochondria. All quantification was performed on 3 different differentiations of 3 control and C9orf72-ALS iNeuron lines.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_3.tif" id="FS3" mimetype="image/tiff">
<label>Supplementary Figure 3</label>
<caption><p>C9orf72-ALS iNeurons show no deficits in oxygen consumption. <bold>(A)</bold> Respirometry trace for control (black line) and C9orf72-ALS iNeurons (red line). <bold>(B&#x2013;G)</bold> Basal respiration <bold>(B)</bold>, proton leak <bold>(C)</bold>, Coupled respiration <bold>(D)</bold>, Maximal respiration <bold>(E)</bold>, Spare respiratory capacity <bold>(F)</bold> and OCR:ECAR ratio <bold>(G)</bold> in control and C9orf72-ALS iNeurons (mean &#x00B1; SD, unpaired <italic>t</italic>-test). Each data point represents the mean of three unique differentiations of each control/C9orf72-ALS line. All quantification was performed on 3 different differentiations of 3 control and C9orf72-ALS iNeuron lines.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_4.tif" id="FS4" mimetype="image/tiff">
<label>Supplementary Figure 4</label>
<caption><p>Lysosome size and density is unaffected in C9orf72-ALS iNeurons. <bold>(A)</bold> Quantification of lysosome area from LAMP2 staining in control and C9orf72-ALS iNeurons (mean &#x00B1; SD, unpaired <italic>t</italic>-test). <bold>(B)</bold> Quantification of lysosome area from LysoTracker DeepRed staining during multiple timepoints of mitophagy flux assay in control and C9orf72-ALS iNeurons (mean &#x00B1; SD). <bold>(C)</bold> Quantification of lysosome density from LAMP2 staining in control and C9orf72-ALS iNeurons (mean &#x00B1; SD, unpaired <italic>t</italic>-test). Each data point represents the mean of three unique differentiation of each control/C9orf72-ALS line, each taken from a mean of approximately 100&#x2013;500 cells. All quantification was performed on 3 different differentiations of 3 control and C9orf72-ALS iNeuron lines.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_5.tif" id="FS5" mimetype="image/tiff">
<label>Supplementary Figure 5</label>
<caption><p>P62 and NDP52 co-localization with mitochondria are unaffected in C9orf72-ALS iNeurons. <bold>(A)</bold> Representative images of control and C9orf72-ALS iNeurons stained with mitochondrial marker TOM20 (green) and p62 (magenta). Scale bar = 100 &#x03BC;M. <bold>(B)</bold> Quantification of percentage of mitochondria staining with p62, under basal conditions and after mitophagy induction with oligomycin/antimycin A (OA) (mean &#x00B1; SD, unpaired <italic>t</italic>-test). <bold>(C)</bold> Representative images of control and C9orf72-ALS iNeurons stained with mitochondrial marker TOM20 (green) and NDP52 (magenta). Scale bar = 100 &#x03BC;M. <bold>(D)</bold> Quantification of percentage of mitochondria staining with NDP52, under basal conditions and after mitophagy induction with oligomycin/antimycin A (OA) (mean &#x00B1; SD, unpaired <italic>t</italic>-test). Each data point represents the mean of three unique differentiations of each control/C9orf72-ALS line, each taken from a mean of approximately 100&#x2013;500 cells. All quantification was performed on 3 different differentiations of 3 control and C9orf72-ALS iNeuron lines.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_6.tif" id="FS6" mimetype="image/tiff">
<label>Supplementary Figure 6</label>
<caption><p>Co-localization of phosphorylated-BNIP3L with mitochondria in control and C9orf72-ALS iNeurons. <bold>(A)</bold> Representative images of control and C9orf72-ALS iNeurons stained with mitochondrial marker TOM20 (green) and phospho-BNIP3L (magenta). Scale bar = 100 &#x03BC;M. <bold>(B)</bold> Quantification of percentage of mitochondria staining with pBNIP3LNIX, under basal conditions and after mitophagy induction with Deferiprone (DFP) (mean &#x00B1; SD, unpaired <italic>t</italic>-test). Each data point represents the mean of three unique differentiations of each control/C9orf72-ALS line, each taken from a mean of approximately 100&#x2013;500 cells. All quantification was performed on 3 different differentiations of 3 control and C9orf72-ALS iNeuron lines.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_7.tif" id="FS7" mimetype="image/tiff">
<label>Supplementary Figure 7</label>
<caption><p>BNIP3, BNIP3L, and C9orf72 expression are unaffected in C9orf72-ALS iNeurons. <bold>(A)</bold> Representative Western blot for BNIP3L and tubulin. <bold>(B)</bold> Quantification of BNIP3L expression normalized to tubulin. <bold>(C)</bold> Representative Western blot for BNIP3 and tubulin. <bold>(D)</bold> Quantification of BNIP3L expression normalized to tubulin. <bold>(E,F)</bold> Correlations between mitochondrial co-localization and protein expression levels for BNIP3L <bold>(G)</bold> and BNIP3 <bold>(H)</bold> (Pearson&#x2019;s correlation coefficient). Each data point represents the mean of three unique differentiations of each control/C9orf72-ALS line. All quantification was performed on 3 different differentiations of 3 control and C9orf72-ALS iNeuron lines.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_8.tif" id="FS8" mimetype="image/tiff">
<label>Supplementary Figure 8</label>
<caption><p>Representative full length Western blots for BNIP3L, BNIP3, and tubulin. <bold>(A)</bold> Representative full length Western blot for BNIP3L (left) and tubulin (right) as its corresponding housekeeping gene. <bold>(B)</bold> Representative full length Western blot for BNIP3 (left) and tubulin (right) as its corresponding housekeeping gene.</p></caption>
</supplementary-material>
<supplementary-material xlink:href="Image_9.tif" id="FS9" mimetype="image/tiff">
<label>Supplementary Figure 9</label>
<caption><p>A769662, Nilotinib and BL918 do not rescue mitophagy or autophagosome production in C9orf72-ALS iNeurons. <bold>(A,B)</bold> Quantification of mitophagy <bold>(A)</bold> and autophagosome density <bold>(B)</bold> after A769662 treatment in control and C9orf72-ALS iNeurons (mean &#x00B1; SD). <bold>(C,D)</bold> Quantification of mitophagy <bold>(A)</bold> and autophagosome density <bold>(B)</bold> after nilotinib and BL-918 treatment in control and C9orf72-ALS iNeurons (mean &#x00B1; SD). Each data point represents the mean of three unique differentiations of each control/C9orf72-ALS line, each taken from a mean of approximately 100&#x2013;500 cells. <bold>(E)</bold> Representative Western blot of total ULK1 expression in BL-918 and DMSO-treated iNeurons, with actin as loading control. <bold>(F)</bold> Quantification of expression of ULK1 expression in control and C9orf72-treated iNeurons, following DMSO or BL918 treatment (mean &#x00B1; SD, unpaired <italic>t</italic>-test). All quantification was performed on 3 different differentiations of 3 control and C9orf72-ALS iNeuron lines. Data is represented as a % of vehicle treated for each line to enable the compound effect to be assessed rather than the basal differences between controls and C9orf72-ALS patient lines.</p></caption>
</supplementary-material>
</sec>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/510773/overview">Chunhai Hao</ext-link>, Indiana University Health, United States</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1387918/overview">Karima Schwab</ext-link>, University of Aberdeen, United Kingdom</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/58139/overview">Thomas Vaccari</ext-link>, University of Milan, Italy</p></fn>
</fn-group>
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