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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Neurosci.</journal-id>
<journal-title>Frontiers in Cellular Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Neurosci.</abbrev-journal-title>
<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.2023.1259360</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular Neuroscience</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Targeted approaches to delineate neuronal morphology during early development</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Liu</surname><given-names>Bimin</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2511650/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Li</surname><given-names>Yuxiao</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2518970/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Ren</surname><given-names>Miao</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2378801/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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<contrib contrib-type="author" corresp="yes"><name><surname>Li</surname><given-names>Xiangning</given-names></name><xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/460908/overview"/>
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<aff id="aff1"><sup>1</sup><institution>State Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University</institution>, <addr-line>Haikou</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University</institution>, <addr-line>Haikou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Research Unit of Multimodal Cross Scale Neural Signal Detection and Imaging, Chinese Academy of Medical Sciences, HUST-Suzhou Institute for Brainsmatics, JITRI</institution>, <addr-line>Suzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Tracy S. Tran, Rutgers University, Newark, United States</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Zhuhao Wu, NewYork-Presbyterian, United States; Andrzej W. Cwetsch, Instituto de Biotecnolog&#x00ED;a y Biomedicina Universidad de Valencia, Spain</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Miao Ren, <email>renmiao@hainanu.edu.cn</email>; Xiangning Li, <email>lixiangning@hainanu.edu.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>10</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>17</volume>
<elocation-id>1259360</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>09</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Liu, Li, Ren and Li.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Liu, Li, Ren and Li</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<p>Understanding the developmental changes that affect neurons is a key step in exploring the assembly and maturation of neural circuits in the brain. For decades, researchers have used a number of labeling techniques to visualize neuronal morphology at different stages of development. However, the efficiency and accuracy of neuronal labeling technologies are limited by the complexity and fragility of neonatal brains. In this review, we illustrate the various labeling techniques utilized for examining the neurogenesis and morphological changes occurring during the early stages of development. We compare the advantages and limitations of each technique from different aspects. Then, we highlight the gaps remaining in our understanding of the structure of neurons in the neonatal mouse brain.</p>
</abstract>
<kwd-group>
<kwd>neonatal mice</kwd>
<kwd>neural labeling</kwd>
<kwd>morphology</kwd>
<kwd>neural circuit</kwd>
<kwd>development</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="115"/>
<page-count count="11"/>
<word-count count="8852"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cellular Neurophysiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1"><label>1.</label>
<title>Introduction</title>
<p>Neurons are fundamental units in the assembly, structure, and function of the brain (<xref ref-type="bibr" rid="ref63">Luo, 2021</xref>). Realistically visualizing neurons requires researchers to conduct a detailed investigation of each subassembly, with its intricate and exquisite architecture, especially during the complex and rapidly changing development period (<xref ref-type="bibr" rid="ref92">Semple et al., 2013</xref>; <xref ref-type="bibr" rid="ref58">Lim et al., 2018</xref>; <xref ref-type="bibr" rid="ref6">Cadwell et al., 2019</xref>). Utilizing different labeling methodologies can reveal the elaborate developmental mechanisms of neurons (<xref rid="fig1" ref-type="fig">Figure 1A</xref>). To be more specific, neurons are derived from the division and differentiation of progenitor cells after migration. Their unique morphological features are usually formed during the postnatal development period (<xref ref-type="bibr" rid="ref87">Riccomagno and Kolodkin, 2015</xref>; <xref ref-type="bibr" rid="ref58">Lim et al., 2018</xref>), which involves the growth and pruning of axons, dendrites, and synapses (<xref ref-type="bibr" rid="ref40">Inta et al., 2008</xref>; <xref ref-type="bibr" rid="ref5">Belvindrah et al., 2011</xref>; <xref ref-type="bibr" rid="ref45">Keil et al., 2017</xref>; <xref ref-type="bibr" rid="ref49">Kroon et al., 2019</xref>; <xref rid="fig1" ref-type="fig">Figure 1B</xref>). Labeling technologies can neatly demonstrate any abnormal developmental changes to neurons that may result in abnormal neural connections and lead to long-term or adult behavioral abnormalities (<xref ref-type="bibr" rid="ref94">Sizonenko et al., 2005</xref>; <xref ref-type="bibr" rid="ref88">Rincel et al., 2018</xref>). Hence, accurately labeling and analyzing the morphological changes to neurons in the neonatal mouse brain are helpful if we are to further elucidate the cellular mechanisms involved in the development of neural circuits and related diseases (<xref ref-type="bibr" rid="ref4">Badea et al., 2003</xref>; <xref ref-type="bibr" rid="ref64">Luo et al., 2016</xref>).</p>
<fig position="float" id="fig1"><label>Figure 1</label>
<caption>
<p>Labeling methods studying the development of neurons in neonatal mouse brain. <bold>(A)</bold> Application of labeling methods at different developmental stages. Markers are delivered to neonatal mouse brain by electrical impulse and injection to label neurons <italic>in vivo</italic> or <italic>in vitro</italic>. <bold>(B)</bold> Milestones of neuron development. The timeline starts from the mid-embryo to the adult. Above the green timeline, it shows the division and migration of neurons during the embryonic period and the growth of pruning of axons, dendrites and synapses during the early postnatal period. Below the green timeline, it shows the detailed development events.</p>
</caption>
<graphic xlink:href="fncel-17-1259360-g001.tif"/>
</fig>
<p>Labeling methods can be broadly divided into two categories: traditional markers, such as fluorescent dyes, proteins, and bacterial toxins (<xref ref-type="bibr" rid="ref18">Ding and Elberger, 2001</xref>; <xref ref-type="bibr" rid="ref81">Porrero et al., 2010</xref>), and genetic labeling. Because of their diverse characteristics, different markers can trace different sections of the neuronal arbors. Genetic labeling can even accurately achieve the visualization of specific types of neurons (<xref ref-type="bibr" rid="ref47">Kim et al., 2013</xref>; <xref ref-type="bibr" rid="ref70">Nakazawa et al., 2018</xref>; <xref ref-type="bibr" rid="ref75">Olivetti et al., 2020</xref>). These labeling techniques provide reliable tools for the precise analysis of neuronal morphologies and developmental history, as is shown in <xref rid="fig2" ref-type="fig">Figure 2</xref>.</p>
<fig position="float" id="fig2"><label>Figure 2</label>
<caption>
<p>Timeline of the neuronal labeling techniques. Above the horizontal axis, it shows when the traditional tracers were firstly applied in the study of neuroscience. Below the axis, it demonstrates the development of genetic approaches in tracing the neurons.</p>
</caption>
<graphic xlink:href="fncel-17-1259360-g002.tif"/>
</fig>
<p>There are still many challenges faced when attempting to label neurons in the newborn mouse brain. Firstly, labeling signals are weaker in the early stages than in adulthood when using genetic tags (<xref ref-type="bibr" rid="ref81">Porrero et al., 2010</xref>). Secondly, the neonatal mouse brain is fragile to interference. For example, the injection of viral tracers may induce an inflammatory response and microglia activation (<xref ref-type="bibr" rid="ref8">Chan et al., 2021</xref>), and the electric pulses of <italic>in utero</italic> electroporation (IUE) may lead to embryonic death (<xref ref-type="bibr" rid="ref15">dal Maschio et al., 2012</xref>). Moreover, different brain nuclei grow at different rates in the neonatal brain, making it difficult to precisely localize neurons (<xref ref-type="bibr" rid="ref78">Paxinos et al., 2020</xref>). To address these issues, researchers have optimized multiple aspects of the strategies by, for example, improving the efficiency and stability of markers, upgrading the loading methods and adopting genetic systems like Mosaic analysis with double markers (<xref rid="fig3" ref-type="fig">Figures 3A</xref>,<xref rid="fig3" ref-type="fig">B</xref>). These innovations have greatly advanced our knowledge of developmental neurons in the neonatal mouse brain.</p>
<fig position="float" id="fig3"><label>Figure 3</label>
<caption>
<p><bold>(A)</bold> Mosaic analysis with double markers (MADM) is a genetic system that allows fluorescent labeling of sparse neurons <italic>in vivo</italic>. Two chimeric marker genes, each containing the N terminus of one marker and the C terminus of the other marker interrupted by a loxP-containing intron, are located on the homologous chromosomes. The expression of green or red fluorescent proteins requires Cre-mediated interchromosomal recombination. X segregation or Z segregation can generate four types of neurons with different markers. <bold>(B)</bold> Diagram showing how MADM system can labeled sister neurons and record their differentiation and migration. <bold>(C)</bold> Supernova system can help to sparse label neurons based on low Tetracycline response element (TRE) leakage. In a small number of neurons with over-threshold leakage, initial tTA (Tetracycline transactivator) -independent weak expression is enhanced by positive feedback along with a site-specific recombination system (Cre/loxP). <bold>(D)</bold> Mosaicism with Repeat Frameshift (MORF) allows a single Bacterial Artificial Chromosome (BAC) transgene to sparse label neurons in mice. A mononucleotide G22 repeat was inserted and only neurons with frameshift of G22 to G3n will express fluorescent signals.</p>
</caption>
<graphic xlink:href="fncel-17-1259360-g003.tif"/>
</fig>
<p>In summary, labeling neurons in the neonatal mouse brain is key to studying the development of neural circuits. Accurately marking the morphology of specific neurons in the neonatal brain is conducive to answering the questions of how and when neurons connect to perform specific functions. It also helps to refine our understanding of the mechanisms by which abnormalities in neural circuits are caused by environmental or gene mutations during the sensitive neonatal period and to test the effects of early treatments and interventions on cognitive disorders and mental diseases. In this review, we summarize the techniques used for labeling neural morphology at different developmental stages. We also analyze the advantages and limitations of the different labeling techniques, providing directions that can be taken by researchers to further explore the mechanisms of neural development.</p>
</sec>
<sec id="sec2"><label>2.</label>
<title>Chemical tracers</title>
<sec id="sec3"><label>2.1.</label>
<title>Labeling neurons of young mice <italic>in vitro</italic></title>
<p>At the end of the nineteenth century, the classic Golgi stain, which is still widely used to study the development of neurons, was formulated. The principle of sparse labeling is that the dark brown precipitation generated by the reaction between the potassium bichromate solution and silver ions randomly labels a relatively small number of neurons, particularly the dendrites. Using Golgi staining, researchers have recorded the morphological changes to dendrites occurring in the early developmental stages (<xref ref-type="bibr" rid="ref41">Ivy and Killackey, 1981</xref>; <xref ref-type="bibr" rid="ref73">Niwa et al., 2010</xref>). The use of hematoxylin and eosin (HE) stains the cell nuclei within brain tissue blue with hematoxylin, and proteins are stained pink with eosin (<xref ref-type="bibr" rid="ref22">Fischer et al., 2008</xref>; <xref ref-type="bibr" rid="ref79">Picut et al., 2021</xref>). HE staining can detect morphological changes to neurons in model mice during their early developmental stages (<xref ref-type="bibr" rid="ref122">Zhou et al., 2018</xref>). The Nissl staining method uses basic dyes like cresyl violet acetate or toluidine blue to permanently stain nucleic acids within neurons in the brain (<xref ref-type="bibr" rid="ref77">Paul et al., 2008</xref>; <xref ref-type="bibr" rid="ref96">Smiley et al., 2023</xref>) and is used for detecting the morphology and pathology of neuronal tissues and understanding the cytoarchitecture of different brain areas (<xref ref-type="bibr" rid="ref44">Kawase-Koga et al., 2009</xref>). Immunohistochemical staining uses antibodies to target specific antigens in order to show morphological changes to neurons at different developmental stages (<xref ref-type="bibr" rid="ref53">Lee et al., 1998</xref>). Nevertheless, these classic staining methods are laborious. They are limited in use to fixed brain samples, instead of live ones.</p>
</sec>
<sec id="sec4"><label>2.2.</label>
<title>Labeling neurons of young mice <italic>in vivo</italic></title>
<p>In the second half of the twentieth century, many traditional neural tracers were developed that can label neurons <italic>in vivo</italic>. Horseradish peroxidase (HRP) is one of the earliest markers used in the morphological study of neuronal axons and is still being used in labeling neonatal axons (<xref ref-type="bibr" rid="ref112">van der Togt and Feirabend, 1990</xref>; <xref ref-type="bibr" rid="ref97">Sohur et al., 2014</xref>; <xref ref-type="bibr" rid="ref31">Harb et al., 2016</xref>; <xref ref-type="bibr" rid="ref16">De Le&#x00F3;n Reyes et al., 2019</xref>; <xref ref-type="bibr" rid="ref91">Saleeba et al., 2019</xref>). Phytohemagglutinin (Phal) (<xref ref-type="bibr" rid="ref23">Fish et al., 1991</xref>) is a long-lasting tracer employed for labeling neonatal axons. Biocytin and neurobiotin can also clearly label the dendritic and axonal structure of neurons (<xref ref-type="bibr" rid="ref98">Staiger et al., 2004</xref>; <xref ref-type="bibr" rid="ref69">Moreno-Velasquez et al., 2020</xref>). Biotinylated dextran amine (BDA) can be used to detect the normal morphological development of axons and dendrites in neonates (<xref ref-type="bibr" rid="ref18">Ding and Elberger, 2001</xref>; <xref ref-type="bibr" rid="ref99">Sugar and Witter, 2016</xref>; <xref ref-type="bibr" rid="ref49">Kroon et al., 2019</xref>) and abnormal morphology in disease models (<xref ref-type="bibr" rid="ref113">van Velthoven et al., 2012</xref>). Fluorescent dyes, such as Fluro Gold (<xref ref-type="bibr" rid="ref32">Hartung et al., 2016</xref>) and Fast Blue (<xref ref-type="bibr" rid="ref60">Lopez-Roman et al., 1993</xref>), are absorbed by axon terminals and accumulate in the soma through retrograde transport, thus they highlight the dendrites of neurons involved in specific loop connections. Unfortunately, high doses of dyes like Fluro Gold may lead to the death of young mice (<xref ref-type="bibr" rid="ref36">Hu H. et al., 2021</xref>).</p>
<p>Injecting chemical markers into the ventricle can label massive progenitor cells, with some of the markers being passed onto the progeny. Thymidine analogs like bromodeoxyuridine (BrdU) are commonly used markers (<xref ref-type="bibr" rid="ref66">Miller and Nowakowski, 1988</xref>) that can be inserted into the double-strand DNA of progenitors during S-phase (<xref ref-type="bibr" rid="ref40">Inta et al., 2008</xref>). However, they label neurons that have already been in the migration state, which means that intact migration and differentiation pathways cannot be fully traced. To overcome this problem, researchers developed Flash-tag (FT) technology. After injection into the ventricles, carboxyl fluorescein (CFSE) can bind to the proteins in M phase progenitors and their progeny. The specificity of CFSE for M-phase progenitors is the result of the soma of these cells being transiently exposed to the CFSE injected into the cerebrospinal fluid (<xref ref-type="bibr" rid="ref107">Telley et al., 2016</xref>; <xref ref-type="bibr" rid="ref27">Govindan et al., 2018</xref>; <xref ref-type="bibr" rid="ref117">Yoshinaga et al., 2021</xref>). These chemical markers combine with specific molecules in progenitor neurons but are diluted as the cells undergo rapid division.</p>
</sec>
<sec id="sec5"><label>2.3.</label>
<title>Labeling specific neurons combined with physical methods</title>
<p>Single-cell injection of traditional chemical tracers can achieve the goal of targeting specific individual neurons in neonatal mouse brains (<xref ref-type="bibr" rid="ref50">Larsen and Callaway, 2006</xref>). Anterograde tracers such as biocytin (<xref ref-type="bibr" rid="ref69">Moreno-Velasquez et al., 2020</xref>), biotinylated glucosamine (<xref ref-type="bibr" rid="ref14">Cunningham et al., 2002</xref>; <xref ref-type="bibr" rid="ref98">Staiger et al., 2004</xref>), and carbocyanine dyes (red fluorescent Dil and green fluorescent Dio) (<xref ref-type="bibr" rid="ref52">Lee et al., 2005</xref>; <xref ref-type="bibr" rid="ref57">Lickiss et al., 2012</xref>; <xref ref-type="bibr" rid="ref97">Sohur et al., 2014</xref>) can mark the axons and dendritic structures of developing neurons. By utilizing physical methods like single-neuron injection, researchers can locate specific neurons within a targeted area. As it is challenging to perform single-neuron injection, more labeling methods targeting specific neurons are needed.</p>
<p>Chemical tracers are diverse, highly sensitive, and can be transported retrograde or anterograde by being attached to different vectors at different rates (<xref rid="tab1" ref-type="table">Table 1</xref>). However, some types of traditional chemical tracers are toxic to neurons, prone to dye leakage and the mislabeling of passing fibers, and fail to identify neurons that express specific molecular markers. These limitations may reduce their reliability and accuracy for labeling neurons in neonatal mice.</p>
<table-wrap position="float" id="tab1"><label>Table 1</label>
<caption>
<p>Parameters of the neural tracers: &#x201C;&#x2212;&#x201D; indicate no effect, &#x201C;+&#x201D; &#x201C;++&#x201D; &#x201C;+++&#x201D; show the strength of labeling effect.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="4">Works in</th>
<th align="center" valign="top" colspan="3">Quality of labeling</th>
<th/>
<th align="center" valign="top">Uptake</th>
<th/>
<th align="left" valign="top">References</th>
</tr>
<tr>
<th align="left" valign="top">Tracer</th>
<th align="center" valign="top">Vivo</th>
<th align="center" valign="top">Fixed tissue</th>
<th align="center" valign="top">Live slices</th>
<th align="center" valign="top">Dissociated cells</th>
<th align="center" valign="top">Soma</th>
<th align="center" valign="top">Dendrites</th>
<th align="center" valign="top">Axon</th>
<th align="center" valign="top">Transport</th>
<th align="center" valign="top">Fiber of passage</th>
<th align="center" valign="top">Stability</th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">FB</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">R</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">++</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref60">Lopez-Roman et al. (1993)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">FG</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">R</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">++</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref32">Hartung et al. (2016)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">Fluro-Jade B</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">R</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">+</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref94">Sizonenko et al. (2005)</xref> and <xref ref-type="bibr" rid="ref79">Picut et al. (2021)</xref></td>
</tr>
<tr>
<td align="left" valign="middle">HRP</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">+/&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">A</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">++</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref41">Ivy and Killackey (1981)</xref>, <xref ref-type="bibr" rid="ref112">van der Togt and Feirabend (1990)</xref>, <xref ref-type="bibr" rid="ref97">Sohur et al. (2014)</xref>, <xref ref-type="bibr" rid="ref31">Harb et al. (2016)</xref>, <xref ref-type="bibr" rid="ref16">De Le&#x00F3;n Reyes et al. (2019)</xref>, and <xref ref-type="bibr" rid="ref91">Saleeba et al. (2019)</xref></td>
</tr>
<tr>
<td align="left" valign="middle">CTB</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">R</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">+++</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref34">Heise and Mitrofanis (2004)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">BDA</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">+/&#x2212;</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">A/R</td>
<td align="center" valign="middle">+/&#x2212;</td>
<td align="center" valign="middle">+++</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref18">Ding and Elberger (2001)</xref> and <xref ref-type="bibr" rid="ref113">van Velthoven et al. (2012)</xref></td>
</tr>
<tr>
<td align="left" valign="middle">Biocytin</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">A/R</td>
<td align="center" valign="middle">+/&#x2212;</td>
<td align="center" valign="middle">+++</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref14">Cunningham et al. (2002)</xref> and <xref ref-type="bibr" rid="ref98">Staiger et al. (2004)</xref></td>
</tr>
<tr>
<td align="left" valign="middle">Neurobiotin</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">?</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">&#x2212;</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">A/R</td>
<td align="center" valign="middle">+/&#x2212;</td>
<td align="center" valign="middle">+++</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref48">Kohara and Okada (2023)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">DiI</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">A</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">++</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref52">Lee et al. (2005)</xref>, <xref ref-type="bibr" rid="ref57">Lickiss et al. (2012)</xref>, and <xref ref-type="bibr" rid="ref97">Sohur et al. (2014)</xref></td>
</tr>
<tr>
<td align="left" valign="middle">DiO</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">A</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">++</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref97">Sohur et al. (2014)</xref>
</td>
</tr>
<tr>
<td align="left" valign="middle">PHA-L</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">++</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">+</td>
<td align="center" valign="middle">+++</td>
<td align="center" valign="middle">A</td>
<td align="center" valign="middle">+/&#x2212;</td>
<td align="center" valign="middle">+++</td>
<td align="left" valign="top">
<xref ref-type="bibr" rid="ref23">Fish et al. (1991)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x201C;R&#x201D; stands for retrograde while &#x201C;A&#x201D; stands for anterograde.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="sec6"><label>3.</label>
<title>Genetic engineering technology</title>
<sec id="sec7"><label>3.1.</label>
<title>Viral tracers</title>
<p>Neurotropic viruses are widely used vectors for labeling neurons in young mice. As the first viral tracers used to label the soma of the neonatal mouse, retroviruses can permanently integrate the genome they carry into host neurons after mitosis, achieving a long-term and stable fluorescent signal (<xref ref-type="bibr" rid="ref83">Price et al., 1987</xref>; <xref ref-type="bibr" rid="ref4">Badea et al., 2003</xref>; <xref ref-type="bibr" rid="ref118">Yu et al., 2009</xref>). Despite this, the infection efficiency of retroviruses is relatively low. In addition, gene insertion by retroviruses is random, which may lead to the mutation of endogenous genes, resulting in unexpected abnormal changes to neurons.</p>
<p>Adeno-associated viruses (AAV) have the advantages of versatility and multiple serotypes, rendering them a popular tool in the field of neuroanatomy (<xref ref-type="bibr" rid="ref7">Castle et al., 2016</xref>; <xref ref-type="bibr" rid="ref30">Hammond et al., 2017</xref>). A viral tracer can be injected into neonatal mouse brains, facilitating the visualization of neurons in about 2&#x2009;weeks (<xref ref-type="bibr" rid="ref10">Cheetham et al., 2015</xref>; <xref ref-type="bibr" rid="ref11">Chen et al., 2018</xref>). Through the implementation of an exceptional extrinsic transgenic system and the utilization of various viral tracers, one can investigate specific morphological transformations in distinct neuron types, such as pyramidal neurons and interneurons, in the postnatal period (<xref ref-type="bibr" rid="ref47">Kim et al., 2013</xref>). Furthermore, AAV can carry a supernova system (<xref ref-type="bibr" rid="ref64">Luo et al., 2016</xref>) that makes use of the low leakage characteristics of the tetracycline response element for select marking (<xref rid="fig3" ref-type="fig">Figure 3C</xref>). The clustered regularly interspersed short palindromic repeats (CRISPR)-CRISPR associated (Cas)9 system can be used to integrate specific genes and viral tracers into the genomes of target neurons with unprecedented speed and precision, allowing researchers to visualize developing neurons by identifying the specific proteins they express (<xref ref-type="bibr" rid="ref109">Uemura et al., 2016</xref>). In addition, diluted viruses such as AAV (<xref ref-type="bibr" rid="ref25">Gibson and Ma, 2011</xref>; <xref ref-type="bibr" rid="ref47">Kim et al., 2013</xref>), Sindbis virus (<xref ref-type="bibr" rid="ref54">Lendvai et al., 2000</xref>), and retroviruses (<xref ref-type="bibr" rid="ref46">Kerloch et al., 2019</xref>) may be used to sparsely label neurons in neonatal mice.</p>
<p>Viral tracers are a popular tool in the field of neurodevelopment. Nevertheless, there are still several limitations associated with the application of viral tracers in neonatal mouse brains. Only a few studies have revealed details of the morphological development of neurons during the early postnatal period using viral tracers (<xref ref-type="bibr" rid="ref80">Pilpel et al., 2009</xref>), as it generally takes about 2&#x2009;weeks for viral tracers to express detectable signals in mouse brains. There is some debate as to whether the use of viral tracers causes the inflammation and gene-coding-related abnormal growth of neurons (<xref ref-type="bibr" rid="ref111">Uyaniker et al., 2019</xref>). In addition, the standard procedure used for the stereotactic injection of viruses into adult mice may not be suitable for use on neonatal mice. It is more complicated to anesthetize, immobilize, locate brain regions, and precisely inject viruses into neonatal mice (<xref ref-type="bibr" rid="ref35">Ho et al., 2020</xref>; <xref ref-type="bibr" rid="ref75">Olivetti et al., 2020</xref>).</p>
</sec>
<sec id="sec8"><label>3.2.</label>
<title>Transgenic mice</title>
<p>Transgenic mice provide an option for non-invasive labeling. A wide variety of transgenic mice can be generated by prokaryotic injection, bacterial artificial chromosomes (BACs), or knock-in techniques. In the study of neuron lineage tracing, transgenic mice have been generated to target specific types of neurons that develop after embryonic development (<xref ref-type="bibr" rid="ref24">Gao et al., 2014</xref>; <xref ref-type="bibr" rid="ref38">Huang, 2014</xref>; <xref ref-type="bibr" rid="ref33">He et al., 2016</xref>).</p>
<p>In the case of transgenic mice, different insertion sites and copies of foreign genes can be used to enable the sparse and random labeling of neurons. Driven by specific promoters, genes in these transgenic mice express site-specific recombinases that identify specific DNA sequences and activate the expression of fluorescent proteins (<xref ref-type="bibr" rid="ref39">Huang et al., 2002</xref>). For instance, the dendrites of neurons in the cortex and hippocampus have been visualized in transgenic mice that express fluorescent proteins regulated by the Thy1-promotor (<xref ref-type="bibr" rid="ref21">Feng et al., 2000</xref>). Mosaic analysis with double markers (MADM) is a genetic system that allows for the fluorescent labeling of neurons <italic>in vivo</italic> and has been used in the tracing of neuron lineages (<xref ref-type="bibr" rid="ref20">Espinosa and Luo, 2008</xref>; <xref rid="fig3" ref-type="fig">Figure 3A</xref>). In MADM, two chimeric marker genes interrupted by a <italic>loxP</italic>-containing intron are located on homologous chromosomes, and the expression of the fluorescent proteins requires cyclization recombinase (Cre)-mediated interchromosomal recombination. Transgenic mice used for lineage tracing with the MADM (<xref rid="fig3" ref-type="fig">Figure 3B</xref>) system can also be used to visualize partial neuronal dendrites in neonatal mice brains (<xref ref-type="bibr" rid="ref118">Yu et al., 2009</xref>; <xref ref-type="bibr" rid="ref106">Tasic et al., 2012</xref>). Cyclization recombinase estrogen receptor (Cre-ER) transgenic mice, which express fusion proteins containing estrogen receptors and Cyclization recombinase (Cre), have neurons that are sparsely labeled under the induction of tamoxifen (<xref ref-type="bibr" rid="ref4">Badea et al., 2003</xref>). The Flp/FRT recombinase system is based on the same strategy as the Cre/loxp system, but it has only been applied in a few cases for visualizing the neuronal morphology in neonatal mice brains (<xref ref-type="bibr" rid="ref72">Nern et al., 2011</xref>). Mosaicism with repeat frameshift (MORF) allows a single Bacterial artificial chromosome (BAC) transgene to sparsely label neurons in mice. A mononucleotide G22 repeat is inserted, and only neurons with the G22 to G3n frameshift express the fluorescent signals. With the aid of <italic>in vivo</italic> imaging techniques, transgenic mice facilitate the dynamic long-term tracking of development of dendrites (<xref ref-type="bibr" rid="ref82">Portera-Cailliau et al., 2005</xref>; <xref ref-type="bibr" rid="ref123">Zuo et al., 2005</xref>).</p>
<p>Despite the advantages, labeling signals in transgenic mice maybe unstable in the early developmental stages. Transgenic mice like mGFP, L21, may express relatively weak signals during the early postnatal period (<xref ref-type="bibr" rid="ref81">Porrero et al., 2010</xref>). The temporal expression of these signals may be caused by the gradual promotion of the expression of genes, such as the Thy-1 promotor. Or it could be attributed to the insertion of foreign genes and the timing of the expression of specific markers in various neuron types. For example, only the dendrites and soma-proximal axons of dopamine neurons can be observed in the early postnatal period of Mosaicism with repeat frameshift (MORF) transgenic mice (<xref ref-type="bibr" rid="ref61">Lu and Yang, 2017</xref>). BAC transgenic mice, which are based on homologous recombination, show weak signals for labeled GABAergic neurons (GABA: Gamma-aminobutyric acid) during the early postnatal period (<xref ref-type="bibr" rid="ref9">Chattopadhyaya et al., 2004</xref>). CreER transgenic mice, which need to be treated with tamoxifen before they activate the expression of specific genes, do not display strong signals in their cholinergic neurons until 2 or 3&#x2009;weeks after birth (<xref ref-type="bibr" rid="ref89">Rotolo et al., 2008</xref>). While the combination of transgenesis and viral tracers increases the flexibility of sparse labeling (<xref ref-type="bibr" rid="ref51">Le Magueresse et al., 2011</xref>; <xref ref-type="bibr" rid="ref120">Zhang et al., 2017</xref>), the problem of the delayed expression of genetic tags remains unresolved. Further improvements are required to optimize the labeling efficiency of transgenic tools.</p>
</sec>
<sec id="sec9"><label>3.3.</label>
<title><italic>In utero</italic> electroporation</title>
<p><italic>In utero</italic> electroporation (IUE) is a popular labeling method that has been in development since 2001 (<xref ref-type="bibr" rid="ref90">Saito and Nakatsuji, 2001</xref>). Gene vectors can be injected into the ventricle as early as the embryonic stage. Then, electrical pulses induced by the electrodes on both sides of the embryo&#x2019;s head help transduce the vectors into the progenitor neuron population within a specific brain region, such as the cortex (<xref ref-type="bibr" rid="ref73">Niwa et al., 2010</xref>) or hippocampus (<xref ref-type="bibr" rid="ref71">Navarro-Quiroga et al., 2007</xref>). As the progenitor neurons continue to divide, foreign genes are passed to daughter neurons, which differentiate and migrate to targeted regions. For mice, the optimal surgical period for IUE is between 10.5 and 16.5 embryonic days (<xref ref-type="bibr" rid="ref116">Yoshida et al., 2010</xref>). In this regard, IUE can alleviate the issue of delayed gene expression in the postnatal period. The vectors carrying fluorescent protein genes can be transfected into specific neurons during the embryonic period to enable the tracking of axon fiber bundles during development (<xref ref-type="bibr" rid="ref115">Wang et al., 2007</xref>; <xref ref-type="bibr" rid="ref13">Chen et al., 2008</xref>; <xref ref-type="bibr" rid="ref43">Ka and Kim, 2016</xref>; <xref ref-type="bibr" rid="ref46">Kerloch et al., 2019</xref>). However, the transfection range of IUE is limited, and electrical impulses may affect the normal development of neurons (<xref ref-type="bibr" rid="ref3">Azzarelli et al., 2017</xref>).</p>
<p>A notable advantage of transgenic labeling technology lies in its ability to precisely detect molecular markers in distinct types of neurons. This allows for controlled detection signals to be expressed solely in targeted neuron subtypes. IUE provides a reliable protocol for delivering genetic tags to specific types of neurons. By selectively targeting neural progenitors across distinct developmental stages, IUE can facilitate the investigation of unique groups of newborn neurons that will subsequently migrate to various brain regions (<xref ref-type="bibr" rid="ref67">Mizuno et al., 2010</xref>). Minimal amounts of plasmid (<xref ref-type="bibr" rid="ref76">Pacary et al., 2012</xref>; <xref ref-type="bibr" rid="ref100">Sugiyama et al., 2020</xref>) are needed, and single-neuron electroporation can be used to label a relatively small number of neurons (<xref ref-type="bibr" rid="ref110">Uesaka et al., 2005</xref>). Vectors carrying the supernova system can be delivered to specific neurons for morphological labeling (<xref ref-type="bibr" rid="ref68">Mizuno et al., 2018</xref>). Moreover, using CRISPR/Cas9 combined with piggyBac transposase technology, researchers can track the development of specific neocortical progenitors with IUE (<xref ref-type="bibr" rid="ref12">Chen et al., 2015</xref>). The promoter-assisted spares-neuron multiple-gene labeling using <italic>in utero</italic> electroporation (PASME) system (<xref ref-type="bibr" rid="ref1">Ako et al., 2011</xref>) utilizes the Thy1S promoter, the Cre-loxP system, and IUE. The Thy1S promoter is highly selectively expressed in the postnatal neocortex and can induce GFP expression in only a limited number of neurons (<xref rid="fig3" ref-type="fig">Figure 3D</xref>).</p>
<p>It is vital that we discover what links the different types of morphological changes that occur in the basic unit of signal transmission in the brain, the neuron, with the connections and functions of complex neural circuits. The development of genetic engineering technology provides abundant options for scientists to track changes to the morphology of neurons during the developmental period (<xref rid="tab2" ref-type="table">Table 2</xref>). Genetic labeling methods can be used to target different types of neurons, but it is difficult to target single neurons by physical methods, and there is a lack of stable signal during the early developing period. Consequently, to obtain a continuous and comprehensive map of the morphological development of various neuron types, further research is required.</p>
<table-wrap position="float" id="tab2"><label>Table 2</label>
<caption>
<p>Summary of viral, plasmid, and genetic labeling methods: advantages and warning.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Method</th>
<th align="left" valign="top">Means of delivery</th>
<th align="left" valign="top">Cell types targeted</th>
<th align="left" valign="top">Advantages</th>
<th align="left" valign="top">Caveats</th>
<th align="left" valign="top">References</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Retro-virus</td>
<td align="left" valign="top" rowspan="2">Stereotaxic, focal injection</td>
<td align="left" valign="top" rowspan="2">Dividing cells</td>
<td align="left" valign="top">~7.5&#x2009;kb insert</td>
<td align="left" valign="top">Genomic integration disrupts host DNA at insertion site</td>
<td align="left" valign="top" rowspan="2"><xref ref-type="bibr" rid="ref83">Price et al. (1987)</xref>, <xref ref-type="bibr" rid="ref103">Suzuki and Goldman (2003)</xref>, <xref ref-type="bibr" rid="ref118">Yu et al. (2009)</xref>, <xref ref-type="bibr" rid="ref2">Artegiani and Calegari (2013)</xref>, <xref ref-type="bibr" rid="ref120">Zhang et al. (2017)</xref>, <xref ref-type="bibr" rid="ref46">Kerloch et al. (2019)</xref>, and <xref ref-type="bibr" rid="ref84">Program et al. (2022)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Persistent genetic alteration of dividing transduced cells</td>
<td align="left" valign="top">Focal injection by its nature causes lesion</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Adeno associated virus</td>
<td align="left" valign="top" rowspan="2">Stereotaxic, focal injection</td>
<td align="left" valign="top" rowspan="2">Broad range</td>
<td align="left" valign="top">~8&#x2009;kb insert</td>
<td align="left" valign="top">Take more time for expression</td>
<td align="left" valign="top" rowspan="2"><xref ref-type="bibr" rid="ref25">Gibson and Ma (2011)</xref>, <xref ref-type="bibr" rid="ref10">Cheetham et al. (2015)</xref>, <xref ref-type="bibr" rid="ref64">Luo et al. (2016)</xref>, <xref ref-type="bibr" rid="ref11">Chen et al. (2018)</xref>, <xref ref-type="bibr" rid="ref86">Ren et al. (2018)</xref>, and <xref ref-type="bibr" rid="ref36">Hu S. et al. (2021)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Higher efficiency of infection</td>
<td align="left" valign="top">Focal injection by its nature causes lesion</td>
</tr>
<tr>
<td align="left" valign="top">Plasmid</td>
<td align="left" valign="top">Stereotaxic, focal injection, electroporation</td>
<td align="left" valign="top">Broad range</td>
<td align="left" valign="top">Permits larger inserts</td>
<td align="left" valign="top">Cannot replicate autonomously</td>
<td align="left" valign="top"><xref ref-type="bibr" rid="ref110">Uesaka et al. (2005)</xref>, <xref ref-type="bibr" rid="ref116">Yoshida et al. (2010)</xref>, <xref ref-type="bibr" rid="ref5">Belvindrah et al. (2011)</xref>, <xref ref-type="bibr" rid="ref57">Lickiss et al. (2012)</xref>, and <xref ref-type="bibr" rid="ref104">Szczurkowska et al. (2016)</xref></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Trans-genic mice</td>
<td align="left" valign="top" rowspan="2">&#x2013;</td>
<td align="left" valign="top" rowspan="2">Broad range</td>
<td align="left" valign="top">Intrinsic fluorescence</td>
<td align="left" valign="top">Higher breeding cost</td>
<td align="left" valign="top" rowspan="2"><xref ref-type="bibr" rid="ref21">Feng et al. (2000)</xref>, <xref ref-type="bibr" rid="ref9">Chattopadhyaya et al. (2004)</xref>, <xref ref-type="bibr" rid="ref65">Madisen et al. (2010)</xref>, <xref ref-type="bibr" rid="ref81">Porrero et al. (2010)</xref>, <xref ref-type="bibr" rid="ref51">Le Magueresse et al. (2011)</xref>, <xref ref-type="bibr" rid="ref113">van Velthoven et al. (2012)</xref>, and <xref ref-type="bibr" rid="ref61">Lu and Yang (2017)</xref></td>
</tr>
<tr>
<td align="left" valign="top">Strong compatibility (combined with virus and plasmid labeling)</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussions" id="sec10"><label>4.</label>
<title>Discussion</title>
<p>The development of neurons is a critical step in the establishment of precise neural circuits. Over the past several decades, a variety of labeling techniques have been invented that allow us to visualize the morphology of neurons as they develop. Thus, researchers have found that different neurons form distinct structures and exhibit different dynamics. However, current labeling techniques do not yet satisfy the need to track all types of neurons from their formation in the embryonic stage to maturation in adulthood.</p>
<p>Adjustments to surgical protocols and the optimization of equipment continue to improve the utility of labeling technology. For IUE, triple-electrode probes have been developed to greatly extend the range of suitable transfection areas (<xref ref-type="bibr" rid="ref15">dal Maschio et al., 2012</xref>; <xref ref-type="bibr" rid="ref104">Szczurkowska et al., 2016</xref>). Dual IUE is used to label different neurons in a spatially and temporally specific manner (<xref ref-type="bibr" rid="ref119">Zhang et al., 2021</xref>). In addition, the simultaneous application of multiple labeling methods, such as a combination of transgenic mice and viral tracers, helps to separately label specific subtypes of neurons with different spatial and temporal characteristics (<xref ref-type="bibr" rid="ref65">Madisen et al., 2010</xref>). The optimization of workflow can be useful in enriching the labeling options for neurons in neonates while improving the labeling efficiency of the markers.</p>
<p>One major main technical barrier to overcome in this field is our ability to balance the long-term stable expression of markers with the sparse labeling of specific neurons during different development stages. Usually, the insertion and expression of foreign genes takes a certain amount of time, which may result in us missing the short time window for the optimal observation of developing neurons. For example, AAV does not express strong enough signals until a few weeks after injection. To accelerate the expression of labeling signals, especially during the early postnatal period, transgenic systems can be updated by increasing the number of gene copies encoding fluorescent proteins or developing more efficient sparse labeling constructs. The Brainbow system can be employed to label individual neurons with distinguishable colors through the stochastic expression of several fluorescent reporter transgenes, and neurons expressing a particular color thus share a common lineage (<xref ref-type="bibr" rid="ref59">Livet et al., 2007</xref>). With further advances in these imaging technologies, these systems may continue to be attractive choices for tracing several types of neurons simultaneously.</p>
<p>The development of new labeling technology is always accompanied by advances in imaging technology. Initially, neural tracers were limited in use to fixed tissues or thin slices <italic>in vitro</italic> until dyes with higher biocompatibility and <italic>in vivo</italic> imaging techniques were invented. Nowadays, technologies such as intracranial multiphoton microscopy and head-mounted microscopes offer us the ability to observe the development of living animals in real-time. Secondly, the retention of precise fluorescence signals in neurons within intact brains provides more possibilities for scientists to conduct the anatomical dissection of neural systems and even study the fine morphology of individual neurons (<xref ref-type="bibr" rid="ref86">Ren et al., 2018</xref>, <xref ref-type="bibr" rid="ref85">2021</xref>). Fluorescence micro-optical sectioning tomography (fMOST) enables researchers to benefit from three-dimensional imaging with single-cell resolution at the mesoscopic scale (<xref ref-type="bibr" rid="ref55">Li et al., 2010</xref>; <xref ref-type="bibr" rid="ref26">Gong et al., 2016</xref>; <xref ref-type="bibr" rid="ref121">Zhong et al., 2021</xref>). This greatly facilitates the visualization of the complete morphology of single neurons and even synaptic projection patterns and lesion characteristics in the whole brain (<xref ref-type="bibr" rid="ref74">Oh et al., 2014</xref>; <xref ref-type="bibr" rid="ref56">Li et al., 2018</xref>; <xref ref-type="bibr" rid="ref101">Sun et al., 2019</xref>, <xref ref-type="bibr" rid="ref102">2022</xref>; <xref ref-type="bibr" rid="ref108">Tian et al., 2022</xref>). Advanced imaging techniques such as these permit researchers to better exploit labeling techniques when exploring the developmental mechanisms of neurons.</p>
<p>With the ongoing development of labeling and imaging technologies, researchers are beginning to integrate databases on neuron morphology, genome, proteins, etc., to compile a more detailed map of the developing brain. The results have already revealed the abnormal changes to neonatal neurons in mice with pathologies such as autism (<xref ref-type="bibr" rid="ref114">Varghese et al., 2017</xref>). These abnormal neuronal morphological changes are closely related to impairments to the cognitive functions shown by pathological mice (<xref ref-type="bibr" rid="ref19">Druart et al., 2021</xref>). The scientific community now has a deeper understanding of the mechanisms involved in brain development, which provides a solid theoretical foundation upon which cures for neurodevelopmental disorders and neurodegenerative diseases can be based.</p>
</sec>
<sec id="sec11">
<title>Author contributions</title>
<p>BL: Writing &#x2013; original draft. YL: Writing &#x2013; review &#x0026; editing. MR: Writing &#x2013; review &#x0026; editing. XL: Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec12">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was financially supported by STI2030-Major Projects (no. 2022ZD0205201), National Nature Science Foundation of China (no. T2122015), CAMS Innovation Fund for Medical Sciences (no. 2019-I2M-5-014), and the Hainan Provincial Natural Science Foundation of China for High-level Talents (no. 821RC531).</p>
</sec>
<sec sec-type="COI-statement" id="sec13">
<title>Conflict of interest</title>
<p>The authors declare that the research 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="sec100" 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>
</body>
<back>
<ack>
<p>We thank the HUST-Suzhou Institute for Brainsmatics for technical assistance.</p>
</ack>
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