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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="methods-article">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2017.01618</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Methods</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Promoter Specificity and Efficacy in Conditional and Inducible Transgenic Targeting of Lung Macrophages</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>McCubbrey</surname> <given-names>Alexandra L.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x0002A;</xref>
<uri xlink:href="http://frontiersin.org/people/u/483627"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Allison</surname> <given-names>Kristen C.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/483682"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Lee-Sherick</surname> <given-names>Alisa B.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/318977"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Jakubzick</surname> <given-names>Claudia V.</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/189428"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Janssen</surname> <given-names>William J.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/492733"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Medicine, National Jewish Health</institution>, <addr-line>Denver, CO</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Division of Critical Care Medicine and Pulmonary Sciences, University of Colorado Denver</institution>, <addr-line>Denver, CO</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Pediatrics, University of Colorado Anschutz Medical Campus</institution>, <addr-line>Aurora, CO</addr-line>, <country>United States</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Pediatrics, National Jewish Health</institution>, <addr-line>Denver, CO</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: John William Christman, The Ohio State University Columbus, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Myung-Hee Kwon, Ajou University, South Korea; Arnaud Millet, INSERM UMR5309 Institut pour l&#x02019;Avanc&#x000E9;e des Biosciences (IAB), France</p></fn>
<corresp content-type="corresp" id="cor1">&#x0002A;Correspondence: Alexandra L. McCubbrey, <email>mccubbreya&#x00040;nihealth.org</email></corresp>
<fn fn-type="other" id="fn001"><p>Specialty section: This article was submitted to Inflammation, a section of the journal Frontiers in Immunology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>11</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>1618</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>10</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>11</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 McCubbrey, Allison, Lee-Sherick, Jakubzick and Janssen.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>McCubbrey, Allison, Lee-Sherick, Jakubzick and Janssen</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) or licensor 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>Conditional and inducible Cre-loxP systems are used to target gene deletion to specific cell lineages and tissues through promoter-restricted expression of the bacterial DNA recombinase, Cre. Although Cre-loxP systems are widely used to target gene deletion in lung macrophages, limited data are published on the specificity and efficiency of &#x0201C;macrophage targeting&#x0201D; Cre lines. Using R26-stop<sup>fl/fl</sup>-TdTomato and tetOn-GFP reporter lines, we assessed the specificity and efficiency of four commercially available Cre driver lines that are often considered &#x0201C;macrophage specific.&#x0201D; We evaluated two conditional (Csf1r-Cre and LysM-Cre) and two inducible [CX<sub>3</sub>CR1-estrogen receptor-Cre (ERCre) and CD68-rtTA] lines. We assessed Cre activation in six resident lung myeloid populations, as well as activation in lung leukocytes, lung epithelial and endothelial cells, peripheral blood leukocytes, and tissue macrophages of the spleen, bone marrow, and peritoneal cavity. Although Csf1r-Cre and LysM-Cre target resident alveolar macrophages (ResAM) and interstitial macrophages (IM) with high efficiency, neither line is specific for macrophages. Csf1r-Cre targets all leukocyte populations, while LysM-Cre targets dendritic cell, neutrophils, monocytes, and a quarter of lung epithelial cells. CX<sub>3</sub>CR1-ERCre and CD68-rtTA both target IM, but do not target ResAM. Further, although neither line is specific for macrophages, a pulse-wait administration of tamoxifen or doxycycline can be used to significantly improve IM specificity in these inducible lines. In summary, while Cre-loxP remains a powerful tool to study macrophage function, numerous pitfalls exist. Herein, we document strengths and weaknesses of Csf1r-Cre, LysM-Cre, CX<sub>3</sub>CR1-ERCre, and CD68-rtTA systems for targeting specific macrophage populations in the lungs and provide data that will aid investigators in selecting the proper strain.</p>
</abstract>
<kwd-group>
<kwd>macrophage</kwd>
<kwd>Cre</kwd>
<kwd>lung</kwd>
<kwd>conditional</kwd>
<kwd>LysM-Cre</kwd>
<kwd>CX3CR1-estrogen receptor-Cre</kwd>
<kwd>CD68-rtTA</kwd>
<kwd>Csf1r-Cre</kwd>
</kwd-group>
<contract-num rid="cn01">R01 HL130938, R01 HL109517, T32 HL007085-42, R01 HL115334</contract-num>
<contract-sponsor id="cn01">Foundation for the National Institutes of Health<named-content content-type="fundref-id">10.13039/100000009</named-content></contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="12"/>
<word-count count="7722"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="introduction">
<title>Introduction</title>
<p><italic>In vivo</italic> studies are critical for understanding the homeostatic functions of lung macrophages and their roles in pulmonary disease. In this context, conditional transgenic targeting of cell populations using a Cre-loxP strategy is one of the most powerful tools available for <italic>in vivo</italic> studies of macrophages. However, recent work has exposed the limited macrophage specificity of many &#x0201C;macrophage targeting&#x0201D; Cre driver lines (<xref ref-type="bibr" rid="B1">1</xref>&#x02013;<xref ref-type="bibr" rid="B3">3</xref>). Accurate data interpretation requires a firm understanding of the underlying genetic principles of Cre-loxP mice and detailed knowledge regarding the limitations of the chosen Cre driver.</p>
<p>Cre is a bacterial recombinase that catalyzes recombination between paired DNA recognition sites termed LoxP sites (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Restricted Cre expression can be achieved through the use of a cell-specific promoter that drives expression of Cre only in the cells that activate the chosen promoter; this is termed a <italic>conditional</italic> transgene. When a mouse line with a conditional Cre driver is crossed with a line in which a gene of interest is &#x0201C;floxed&#x0201D; with LoxP sites, the floxed gene is deleted only in cells where Cre is expressed. As this change is genomic, it will remain through the life of the targeted cell and all daughter cells.</p>
<p>Conditional inducible systems represent an enhancement over standard conditional systems by enabling temporal control of transgenes. The two most common include estrogen receptor-Cre (ERCre) (<xref ref-type="bibr" rid="B6">6</xref>) and tetracycline-On-Cre (tet-On-Cre) (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Conditionally expressed ERCre requires tamoxifen as a co-factor for Cre activity; until tamoxifen is administered, the mouse remains, essentially, &#x0201C;wild-type.&#x0201D; Similarly, tet-On-Cre systems require the administration of doxycycline to allow a conditionally expressed rtTA to bind to a tet-On promoter and induce Cre expression. However, conditional and conditional inducible systems are only as strong as the chosen conditional promoter. It has become increasingly clear that macrophage &#x0201C;specific&#x0201D; Cre driver lines have promiscuous activation in a broad range of myeloid cells (<xref ref-type="bibr" rid="B1">1</xref>&#x02013;<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>During homeostasis, the lung contains at least six unique extravascular myeloid cell populations that are defined by their location and site of origin, and distinguished by their cell surface marker repertoires. Resident alveolar macrophages (ResAM) reside in the airspace lumen and arise during embryogenesis from fetal liver monocytes (<xref ref-type="bibr" rid="B10">10</xref>&#x02013;<xref ref-type="bibr" rid="B12">12</xref>). In comparison, three subpopulations of interstitial macrophages (IM) are located in the lung tissue and are believed to replenish more readily, throughout the lifespan of the mouse, from circulating Ly6C<sup>hi</sup> monocytes (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Notably both ResAM and IM are capable of self-renewal and are maintained with limited contribution from adult bone marrow-derived monocytes (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B14">14</xref>). IM can be divided into subpopulations based on their expression of CD11c, CD206, and MHCII: IM1 (CD206<sup>&#x0002B;</sup>MHCII<sup>&#x02212;</sup>), IM2 (CD206<sup>&#x0002B;</sup>MHCII<sup>&#x0002B;</sup>), and IM3 (CD206<sup>&#x02212;</sup>CD11c<sup>&#x0002B;</sup>) (<xref ref-type="bibr" rid="B14">14</xref>). Dendritic cells (DCs) comprise the remaining myeloid cells in the homeostatic lung and include CD11b<sup>&#x0002B;</sup> and CD103<sup>&#x0002B;</sup> DC subsets (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>In the setting of inflammation, additional myeloid cells infiltrate the lung tissues, including neutrophils, eosinophils, and monocytes. The absolute number of macrophages in the lung tissue also expands (<xref ref-type="bibr" rid="B17">17</xref>), presumably driven by infiltrating monocytes. Further, a second macrophage population appears in the alveolus, termed recruited macrophages (RecM&#x003A6;) (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Prior research suggests that these RecM&#x003A6; differentiate from infiltrating Ly6C<sup>hi</sup> monocytes (<xref ref-type="bibr" rid="B20">20</xref>&#x02013;<xref ref-type="bibr" rid="B22">22</xref>). Clear surface markers have been established to separate ResAM, IM1, IM2, IM3, and RecM&#x003A6; from other myeloid cells (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>), but functional studies of macrophages <italic>in vivo</italic> remain a challenge.</p>
<p>To determine the optimum systems for targeting specific macrophage cell populations in the lungs, we selected four commercially available &#x0201C;macrophage&#x0201D; Cre driver lines. These included two conditional lines (Csf1r-Cre and LysM-Cre) and two inducible ones (CX<sub>3</sub>CR1-ERCre and CD68-rtTA). While these &#x0201C;macrophage&#x0201D; targeting lines have been heavily used, the pitfalls of their use have been largely ignored, in part because a systemic analysis of their specificity in the lung has not been performed. We crossed these Cre driver lines with various fluorescent reporter lines, discussed in detail below, to assess Cre activity in lung macrophages during homeostasis and inflammation. We also examined peripheral blood, since current evidence suggests that circulating monocytes give rise to macrophage subsets during inflammation. Both LysM-Cre and Csf1r-Cre strongly targeted ResAM and IM. However, we found that Csf1r-Cre (<xref ref-type="bibr" rid="B25">25</xref>) non-specifically targeted all leukocytes, including lymphocytes, while LysM-Cre (<xref ref-type="bibr" rid="B26">26</xref>) problematically targeted neutrophils and a quarter of lung epithelial cells. Activation of CX<sub>3</sub>CR1-ERCre (<xref ref-type="bibr" rid="B11">11</xref>) and CD68-rtTA (<xref ref-type="bibr" rid="B27">27</xref>) was strongly observed in IM, but absent in ResAM. Therefore, while CX<sub>3</sub>CR1-ERCre and CD68-rtTA are promising models for the study of IM, all four systems struggle to specifically target Cre activity to ResAM.</p>
</sec>
<sec id="S2" sec-type="methods">
<title>Methods</title>
<sec id="S2-1">
<title>Animals</title>
<p>This study was approved and performed in accordance with the ethical guidelines of the Institutional Animal Care and Use Committee at National Jewish Health (approval &#x00023;AS2574-01-20). All mice were obtained from Jackson Laboratories (Bar Harbor, ME, USA) and bred at National Jewish Health. LysM-Cre (B6.129P2-<italic>Lyz2tm1(cre)Ifo</italic>/J; stock number 004781), Csf1r-cre (FVB-Tg(Csf1r-icre)1Jwp/J; stock number 021024), and CX<sub>3</sub>CR1-ERT2 (B6.129P2(C)-<italic>CX<sub>3</sub>CR1tm2.1(cre/ERT2)Jung</italic>/J; stock number 020940) mice were crossed with R26-stop<sup>fl/fl</sup>-TdTomato (B6.Cg-Gt(ROSA)26Sortm14(CAG-tdTomato)Hze/J; stock number 007914) mice. Experimental animals from these three crosses were hemizygous for both genes. hCD68-rtTA (B6.Cg-Tg(CD68-rtTA2S&#x0002A;M2)3Mpil/Mmjax; stock number 32044-JAX) and R26-M2rtTA (B6.Cg-<italic>Gt(ROSA)26Sortm1(rtTA&#x0002A;M2)Jae</italic>/J; stock number 006965) mice were crossed with tetOn-GFP (Tg(tetO-HIST1H2BJ/GFP)47Efu/J; stock number 005104) mice. Experimental animals from hCD68-rtTA x tetOn-GFP were homozygous for both genes, while R26-rtTA x tetOn-GFP were hemizygous for both genes. Both male and female mice were used in these experiments.</p>
</sec>
<sec id="S2-2">
<title>Doxycycline and Tamoxifen Administration</title>
<p>Normal diet chow was replaced with doxycycline chow (Teklad laboratory diets, NJ, USA) for 1&#x02009;week, then mice were analyzed on day 7 (pulse). Doxycycline chow was dosed at 625&#x02009;mg doxycycline/kg chow, designed to provide 2&#x02013;3&#x02009;mg of doxycycline/day based on consumption of 4&#x02013;5&#x02009;g chow/day. Additional analyses were performed after mice were returned to normal diet for 1, 2, or 4&#x02009;weeks (wait). Mice were allowed to eat chow <italic>ad libitum</italic>. Tamoxifen (Sigma) suspended in neutral oil was given at 0.25&#x02009;mg/g of body weight by intraperitoneal (IP) injection. Mice were injected on day 1, again on day 4, then analyzed on day 7 (pulse), Additional analyses were performed 1, 2, or 4&#x02009;weeks after the last tamoxifen injection (wait).</p>
</sec>
<sec id="S2-3">
<title>Tissue Harvest</title>
<p>Mice were euthanized by CO<sub>2</sub> inhalation or IP injection of Fatal Plus (Vortech Pharmaceuticals, Dearborn, MI, USA). Peritoneal lavage (PL), bronchoalveolar lavage (BAL), lung, blood, bone marrow, and spleen were collected on ice in the following order. PL was collected in 10&#x02009;mL of PBS containing 0.5&#x02009;mM EDTA, pelleted, and resuspended in HBSS containing 0.3% BSA and 0.3&#x02009;mM EDTA. BAL was collected in 5&#x02009;mL of PBS containing 0.5&#x02009;mM EDTA, pelleted, and resuspended in HBSS containing 0.3% BSA and 0.3&#x02009;mM EDTA. Blood was collected by cardiac puncture using a syringe coated with 50&#x02009;&#x000B5;L of 100&#x02009;mM EDTA, then placed directly into 10&#x02009;mL of PharmLyse buffer (BD Biosciences, San Jose, CA, USA) for 20&#x02009;min on ice. After 20&#x02009;min, blood cells were washed and resuspended in HBSS containing 0.3% BSA and 0.3&#x02009;mM EDTA. Lungs were perfused by injecting 10&#x02009;mL PBS through the right ventricle, after which lung tissue was visibly blanched. Lung tissue was finely chopped with a razor blade then incubated at 37&#x000B0;C in 1&#x02009;mL of 0.4&#x02009;mg/mL Liberase TM (Roche, Indianapolis, IN, USA) in RPMI for 25&#x02009;min. Following incubation, tissue was pipetted rapidly up and down to further disaggregate, then filtered through 100&#x02009;&#x000B5;m filters. Lung cells were pelleted and residual RBC were lysed for 30&#x02009;s using 1&#x02009;mL of BD PharmLyse (BD Biosciences, San Jose, CA, USA). BAL, lung, blood, and PL cells were washed in HBSS and resuspended in HBSS containing 0.3% BSA and 0.3&#x02009;mM EDTA. Spleen tissue was chopped and mechanically dissociated, then filtered through 100&#x02009;&#x000B5;m filters. Bone marrow was flushed from the cavities of the femur and tibia with cold PBS and mechanically dissociated, then filtered through 100&#x02009;&#x000B5;m filters. Residual RBC in spleen and bone marrow were lysed for 10&#x02009;min using 1&#x02009;mL of Gey&#x02019;s Solution (0.155&#x02009;M NH4Cl 10&#x02009;mM KHCO3 aqueous). The hemolysis wash was repeated. Spleen and BM cells were washed and resuspended in PBS containing 2% FBS, 2&#x02009;mM EDTA, and 0.09% NaN<sub>3</sub>.</p>
</sec>
<sec id="S2-4">
<title>Flow Cytometry</title>
<p>Flow cytometry was performed on single cell suspensions. Cells were protected from light and incubations were performed on ice. Single cell suspensions were treated with unlabeled CD16/CD32 for 30&#x02009;min to block non-specific FcyR-mediated binding. Cells were stained with surface antibody panels to identify myeloid populations for 1&#x02009;h, and then washed. When necessary, cells were incubated with streptavidin-conjugated secondary antibody for another 45&#x02009;min, and then washed. HBSS containing 0.3% BSA and 0.3&#x02009;mM EDTA was used as a buffer for all incubations. Single cell suspensions of BAL, lung, blood, and PL were analyzed using an LSRII flow cytometer (BD) and FlowJo software (Tree Star, Ashland, OR, USA). Spleen and bone marrow cells were analyzed using a YETI cell analyzer (Propel Labs). IM1, IM2, IM3, and &#x003B3;&#x003B4; T cells were the smallest populations examined; data collection was performed such that &#x0003E;400 events for each of these populations were analyzed, for most populations &#x0003E;5,000 events were analyzed. Primary antibodies were used in various combinations as follows (source/clone): unlabeled CD16/32 (eBioscience/93), Ly6G (BD/IA8), MHCII (BD/114.15.2), F4/80 (ebioscience/BM8), CD45 (BD/30-F11), Ly6C (eBioscience/HK1.4), Siglec-F (BD/E50-2440), CD11c (eBioscience/N418), CD11b (eBioscience/M1/70), CD103 (eBioscience/2E7), CD115 (eBioscience/AFS98), CD64 (Biolegend/X54-5/7.1), MerTK (R&#x00026;D/BAF591), CD3 (Biolegend/17A2), CD19 (eBioscience/eBio1D3), NK1.1 (Biolegend/PK136), &#x003B3;&#x003B4;TCR (eBioscience/eBioGL3), EpCAM (Biolegend/G8.8), CD31 (Biolegend/390), Thrombomodulin (R&#x00026;D/AF3894), CD206 (Biolegend/C068C2), Tim4 (Biolegend/F31-5G3), and Gr-1 (BD/RB6-8C5). All primary antibodies were used at a 1:400 dilution except EpCAM (1:1,000), and MerTK (1:100). Streptavidin-conjugated FITC, AF647, and PE secondary antibodies (Jackson Immunolaboratories) were used at 1:200.</p>
</sec>
<sec id="S2-5">
<title>LPS Injury</title>
<p>LPS (<italic>Escherichia coli</italic> 055:B5; List Biological Laboratories, Campbell, CA, USA) was administered in a dose of 20&#x02009;&#x000B5;g in 50&#x02009;&#x000B5;L of PBS. LPS was instilled intratracheally (IT) using a modified gavage needle. Mice were sedated with isoflurane (Baxter, Deerfield, IL, USA) before IT instillations. Reporter expression was assessed in BAL, lung, and blood 6&#x02009;days after LPS instillation.</p>
</sec>
</sec>
<sec id="S3">
<title>Results</title>
<sec id="S3-1">
<title>Conditional Cre Systems Target Lung Macrophages with Varying Specificity</title>
<p>To improve our understanding of conditional and conditional inducible systems within the lung and aid in experimental design and interpretation, we assessed the specificity and strength of four different Cre driver lines for targeting macrophages. The two conditional lines selected, LysM-Cre and Csf1r-Cre, are the most highly published &#x0201C;macrophage targeting&#x0201D; lines in the literature (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B28">28</xref>). The two inducible lines, CX<sub>3</sub>CR1-ERCre and CD68-rtTA, were developed more recently and have been used less extensively. However, based on previous work, we suspected that both lines might be appropriate for targeted studies of IM. Moreover, the two inducible lines have the advantage of strict temporal control. All conditional and conditional inducible lines were crossed with various reporter lines to mark Cre activity, discussed in detail below. We began by assessing reporter expression in the homeostatic lung.</p>
<p>Flow cytometry was used to assess reporter expression in cells from digested lung tissue (Figure <xref ref-type="fig" rid="F1">1</xref>A). Using surface expression of CD45, cells were split into hematopoietic (CD45<sup>&#x0002B;</sup>) and non-hematopoietic (CD45<sup>&#x02212;</sup>) populations. Within non-hematopoietic cells, we identified epithelial cells as EpCAM<sup>&#x0002B;</sup>, and endothelial cells as EpCAM<sup>&#x02212;</sup>, CD31<sup>&#x0002B;</sup> and thrombomodulin<sup>&#x0002B;</sup>. To identify our populations of interest in hematopoietic cells, we first excluded neutrophils using Ly6G. Within Ly6G<sup>&#x02212;</sup> cells, macrophages were identified as double-positive for CD64 and MerTK, and non-macrophages as low or negative for CD64 and MerTK expression. From the non-macrophage population, lymphocyte populations were segregated. B cells were identified by their high expression of CD19<sup>&#x0002B;</sup>. CD3<sup>&#x0002B;</sup> was used to identify T cells that were further identified as &#x003B3;&#x003B4; T cells or classical &#x003B1;&#x003B2; T cells by expression of the &#x003B3;&#x003B4; TCR. Within remaining CD19<sup>&#x02212;</sup>CD3<sup>&#x02212;</sup> cells, NK cells were identified as NK1.1<sup>&#x0002B;</sup>. Also within the non-macrophage population, CD64<sup>&#x02212;</sup> and MerTK<sup>&#x02212;</sup> cells, DCs were identified by their high expression of MHCII and CD11c, and then further subdivided into CD11b<sup>&#x0002B;</sup> DC and CD103<sup>&#x0002B;</sup> DC by expression of their eponymous markers. The macrophage population identified by MerTK and CD64 was divided into CD11c<sup>hi</sup> ResAM and CD11b<sup>hi</sup>CD11c<sup>hi/lo</sup> IMs. IMs were then divided into subsets, first using CD11c and CD206 to identify IM3 (CD206<sup>low</sup>), and then remaining cells (CD206<sup>hi</sup>) were defined as IM1 and IM2 using expression of MHCII.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Conditional and inducible promoters vary in lung macrophage targeting. <bold>(A)</bold> Lung digest from reporter mice was assessed by flow cytometry and separated into subpopulations based on surface marker expression. <bold>(B)</bold> Reporter expression in lung subpopulations of myeloid, lymphoid, and structural cells, shown as percent of each population expressing the reporter. <bold>(C)</bold> Representative histograms of reporter expression in resident alveolar macrophages (ResAM) and interstitial macrophages (IM) populations. Data are presented as mean&#x02009;&#x000B1;&#x02009;SD, <italic>n</italic>&#x02009;&#x0003D;&#x02009;3&#x02013;5 mice per group.</p></caption>
<graphic xlink:href="fimmu-08-01618-g001.tif"/>
</fig>
<p>To assess the efficiency and specificity of the Csf1r-Cre and LysM-Cre conditional systems, each strain was crossed with R26-stop<sup>fl/fl</sup>-TdTomato reporter animals. In the resultant offspring, cells that express Cre excise the floxed stop codon upstream of the TdTomato construct and the fluorescent protein is expressed. Both Csf1r-Cre and LysM-Cre were strongly activated in ResAM and IM, with nearly 100% efficiency (Figures <xref ref-type="fig" rid="F1">1</xref>B,C). However, further examination of Csf1r-Cre demonstrated that this conditional line targeted nearly all leukocytes in the lung, including lymphocytes, with greater than 80% efficiency (Figure <xref ref-type="fig" rid="F1">1</xref>B). In contrast, LysM-Cre minimally target lymphocytes, although it did target approximately half of Ly6C<sup>hi</sup> monocytes, CD11b<sup>&#x0002B;</sup> DC and CD103<sup>&#x0002B;</sup> DC (Figure <xref ref-type="fig" rid="F1">1</xref>B) (<xref ref-type="bibr" rid="B9">9</xref>). Of significant importance, LysM-Cre targeted nearly a quarter of lung epithelial cells (Figure <xref ref-type="fig" rid="F1">1</xref>B). Previous studies have suggested that these targeted epithelial cells are alveolar type II cells (<xref ref-type="bibr" rid="B1">1</xref>). In comparison, Csf1r-Cre did not target lung epithelium or endothelium. Data presented in Figure <xref ref-type="fig" rid="F1">1</xref>B are also summarized in Table <xref ref-type="table" rid="T1">1</xref> and representative histograms for all cell populations are shown in Figure <xref ref-type="supplementary-material" rid="SM1">S1</xref> in Supplementary Material.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Reporter expression in cell populations from na&#x000EF;ve lung digest and peripheral blood.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center">Csf1r-Cre</th>
<th valign="top" align="center">LysM-Cre</th>
<th valign="top" align="center">CX<sub>3</sub>CR1-ERCre</th>
<th valign="top" align="center">CD68-rtTA</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="12">Lung digest</td>
<td align="left" valign="top">ResAM</td>
<td align="center" valign="top">98.3&#x02009;&#x000B1;&#x02009;0.4</td>
<td align="center" valign="top">96.1&#x02009;&#x000B1;&#x02009;1.8</td>
<td align="center" valign="top">&#x02264;1</td>
<td align="center" valign="top">2.59&#x02009;&#x000B1;&#x02009;0.8</td>
</tr>
<tr>
<td align="left" valign="top">IM1</td>
<td align="center" valign="top">99.8&#x02009;&#x000B1;&#x02009;0.3</td>
<td align="center" valign="top">98.5&#x02009;&#x000B1;&#x02009;0.8</td>
<td align="center" valign="top">86.6&#x02009;&#x000B1;&#x02009;1.5</td>
<td align="center" valign="top">76.13&#x02009;&#x000B1;&#x02009;3</td>
</tr>
<tr>
<td align="left" valign="top">IM2</td>
<td align="center" valign="top">99.6&#x02009;&#x000B1;&#x02009;0.5</td>
<td align="center" valign="top">98.9&#x02009;&#x000B1;&#x02009;0.8</td>
<td align="center" valign="top">95.7&#x02009;&#x000B1;&#x02009;5</td>
<td align="center" valign="top">80&#x02009;&#x000B1;&#x02009;4.3</td>
</tr>
<tr>
<td align="left" valign="top">IM3</td>
<td align="center" valign="top">99.8&#x02009;&#x000B1;&#x02009;0.1</td>
<td align="center" valign="top">93.7&#x02009;&#x000B1;&#x02009;1.9</td>
<td align="center" valign="top">88.1&#x02009;&#x000B1;&#x02009;2.5</td>
<td align="center" valign="top">72.5&#x02009;&#x000B1;&#x02009;7.2</td>
</tr>
<tr>
<td align="left" valign="top">CD11b<sup>&#x0002B;</sup> DC</td>
<td align="center" valign="top">99.6&#x02009;&#x000B1;&#x02009;0.4</td>
<td align="center" valign="top">52.8&#x02009;&#x000B1;&#x02009;3.8</td>
<td align="center" valign="top">81.6&#x02009;&#x000B1;&#x02009;7.5</td>
<td align="center" valign="top">71.6&#x02009;&#x000B1;&#x02009;7.3</td>
</tr>
<tr>
<td align="left" valign="top">CD103<sup>&#x0002B;</sup> DC</td>
<td align="center" valign="top">99.7&#x02009;&#x000B1;&#x02009;0.3</td>
<td align="center" valign="top">44.8&#x02009;&#x000B1;&#x02009;5.5</td>
<td align="center" valign="top">12.5&#x02009;&#x000B1;&#x02009;6.4</td>
<td align="center" valign="top">73.8&#x02009;&#x000B1;&#x02009;6.8</td>
</tr>
<tr>
<td align="left" valign="top">T cells</td>
<td align="center" valign="top">95.6&#x02009;&#x000B1;&#x02009;6.5</td>
<td align="center" valign="top">5.2&#x02009;&#x000B1;&#x02009;1.5</td>
<td align="center" valign="top">3.3&#x02009;&#x000B1;&#x02009;3.2</td>
<td align="center" valign="top">5.1&#x02009;&#x000B1;&#x02009;1.8</td>
</tr>
<tr>
<td align="left" valign="top">B cells</td>
<td align="center" valign="top">79&#x02009;&#x000B1;&#x02009;9.5</td>
<td align="center" valign="top">5.4&#x02009;&#x000B1;&#x02009;1</td>
<td align="center" valign="top">&#x02264;1</td>
<td align="center" valign="top">7.4&#x02009;&#x000B1;&#x02009;1</td>
</tr>
<tr>
<td align="left" valign="top">&#x003B3;&#x003B4; T cells</td>
<td align="center" valign="top">95.1&#x02009;&#x000B1;&#x02009;5.2</td>
<td align="center" valign="top">3.1&#x02009;&#x000B1;&#x02009;0.74</td>
<td align="center" valign="top">5.4&#x02009;&#x000B1;&#x02009;1.5</td>
<td align="center" valign="top">2.8&#x02009;&#x000B1;&#x02009;0.8</td>
</tr>
<tr>
<td align="left" valign="top">NK cells</td>
<td align="center" valign="top">98.9&#x02009;&#x000B1;&#x02009;1.8</td>
<td align="center" valign="top">15.6&#x02009;&#x000B1;&#x02009;2.5</td>
<td align="center" valign="top">40.1&#x02009;&#x000B1;&#x02009;15.2</td>
<td align="center" valign="top">10.2&#x02009;&#x000B1;&#x02009;1.3</td>
</tr>
<tr>
<td align="left" valign="top">Endothelial cells</td>
<td align="center" valign="top">&#x02264;1</td>
<td align="center" valign="top">&#x02264;1</td>
<td align="center" valign="top">&#x02264;1</td>
<td align="center" valign="top">&#x02264;1</td>
</tr>
<tr>
<td align="left" valign="top">Epithelial cells</td>
<td align="center" valign="top">&#x02264;1</td>
<td align="center" valign="top">22.3&#x02009;&#x000B1;&#x02009;7.3</td>
<td align="center" valign="top">&#x02264;1</td>
<td align="center" valign="top">&#x02264;1</td>
</tr>
<tr>
<td align="left" valign="top" colspan="6"><hr/></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="6">Blood</td>
<td align="left" valign="top">Neutrophils</td>
<td align="center" valign="top">99.5&#x02009;&#x000B1;&#x02009;0.4</td>
<td align="center" valign="top">98&#x02009;&#x000B1;&#x02009;1.1</td>
<td align="center" valign="top">1.7&#x02009;&#x000B1;&#x02009;1.4</td>
<td align="center" valign="top">58.7&#x02009;&#x000B1;&#x02009;9.7</td>
</tr>
<tr>
<td align="left" valign="top">Eosinophils</td>
<td align="center" valign="top">93&#x02009;&#x000B1;&#x02009;5.1</td>
<td align="center" valign="top">19.8&#x02009;&#x000B1;&#x02009;1.6</td>
<td align="center" valign="top">&#x02264;1</td>
<td align="center" valign="top">1.2&#x02009;&#x000B1;&#x02009;0.5</td>
</tr>
<tr>
<td align="left" valign="top">Ly6C<sup>hi</sup> monocytes</td>
<td align="center" valign="top">100&#x02009;&#x000B1;&#x02009;0</td>
<td align="center" valign="top">67&#x02009;&#x000B1;&#x02009;4.9</td>
<td align="center" valign="top">51&#x02009;&#x000B1;&#x02009;4.8</td>
<td align="center" valign="top">70.5&#x02009;&#x000B1;&#x02009;6.3</td>
</tr>
<tr>
<td align="left" valign="top">Ly6C<sup>lo</sup> monocytes</td>
<td align="center" valign="top">99.9&#x02009;&#x000B1;&#x02009;0.9</td>
<td align="center" valign="top">86.5&#x02009;&#x000B1;&#x02009;1.4</td>
<td align="center" valign="top">91.5&#x02009;&#x000B1;&#x02009;9.1</td>
<td align="center" valign="top">63.8&#x02009;&#x000B1;&#x02009;4.3</td>
</tr>
<tr>
<td align="left" valign="top">T cells</td>
<td align="center" valign="top">98.5&#x02009;&#x000B1;&#x02009;1</td>
<td align="center" valign="top">6.7&#x02009;&#x000B1;&#x02009;1.8</td>
<td align="center" valign="top">6.9&#x02009;&#x000B1;&#x02009;3.3</td>
<td align="center" valign="top">6.9&#x02009;&#x000B1;&#x02009;2.2</td>
</tr>
<tr>
<td align="left" valign="top">B cells</td>
<td align="center" valign="top">82.5&#x02009;&#x000B1;&#x02009;3.5</td>
<td align="center" valign="top">6.1&#x02009;&#x000B1;&#x02009;0.9</td>
<td align="center" valign="top">&#x02264;1</td>
<td align="center" valign="top">8.3&#x02009;&#x000B1;&#x02009;2.7</td>
</tr>
</tbody>
</table>
<table-wrap-foot><p><italic>Data are presented as mean&#x02009;&#x000B1;&#x02009;SD, n&#x02009;&#x0003D;&#x02009;3&#x02013;5 mice per group</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3-2">
<title>Inducible Cre Systems Target Lung Macrophages with Varying Specificity</title>
<p>As a next step, the inducible targeting systems were explored. First, CX<sub>3</sub>CR1-ERCre mice were crossed with R26-stop<sup>fl/fl</sup>-TdTomato reporter mice. In these animals, cells express a mutated Cre that is directed by the CX<sub>3</sub>CR1 promoter and requires tamoxifen as a co-factor for activity. Accordingly, when tamoxifen is administered, <italic>Cre recombinase</italic> becomes active in all CX<sub>3</sub>CR1 expressing cells, thereby excising the floxed R26-stop floxed codon and enabling production of TdTomato. In a similar fashion, CD68-rtTA mice were crossed with tetOn-GFP mice. In these animals, rtTA acts as a transcription factor for the tetOn promoter, but requires the presence of doxycycline for activity. Thus, GFP is expressed in CD68 positive cells following administration of doxycycline. The duration of tamoxifen or doxycycline administration will affect the efficiency of targeting as the percentage of target cells affected increases over time. We have previously reported that CD68-rtTA reporter expression increases to a maximum level over 6&#x02009;days (<xref ref-type="bibr" rid="B29">29</xref>). We therefore assessed CX<sub>3</sub>CR1-ERT2 and CD68-rtTA reporter mice after 1&#x02009;week of tamoxifen or doxycycline.</p>
<p>CX<sub>3</sub>CR1-ERCre and CD68-rtTA efficiently targeted IM, with 90 and 75% efficiency, respectively (Figures <xref ref-type="fig" rid="F1">1</xref>B,C). However, ResAM remained reporter negative in both lines, as we have shown previously for CD68-rtTA (<xref ref-type="bibr" rid="B29">29</xref>). In addition to IMs, both CX<sub>3</sub>CR1-ERCre and CD68-rtTA targeted lung DCs (Figure <xref ref-type="fig" rid="F1">1</xref>B). CX<sub>3</sub>CR1-ERCre also targeted a significant portion of NK cells, although targeting of other lymphocytes remained low (Figure <xref ref-type="fig" rid="F1">1</xref>B). Reporter expression was not observed in endothelial or epithelial cells for either line. The data presented in Figure <xref ref-type="fig" rid="F1">1</xref>B is also summarized in Table <xref ref-type="table" rid="T1">1</xref> and representative histograms for all cell populations are shown in Figure <xref ref-type="supplementary-material" rid="SM1">S1</xref> in Supplementary Material.</p>
</sec>
<sec id="S3-3">
<title>Conditional and Inducible Cre Systems Target Blood Myeloid Cells with Varying Specificity</title>
<p>During homeostasis, Ly6C<sup>hi</sup> monocytes constitutively traffic through the lungs (<xref ref-type="bibr" rid="B30">30</xref>). During inflammation, emigration of these cells from the circulation is increased and it is believed that they give rise to RecM&#x003A6;. Neutrophils and other leukocytes also emigrate from the bloodstream during inflammation. Therefore, we assessed activation of Csf1r-Cre, LysM-Cre, CX<sub>3</sub>CR1-ERCre, and CD68-rtTA in blood leukocytes. Blood was obtained by cardiac puncture, red cells were lysed, and reporter expression was measured by flow cytometry (Figure <xref ref-type="fig" rid="F2">2</xref>A). First, CD45<sup>&#x0002B;</sup> leukocytes were identified. Neutrophils were identified using Ly6G, and eosinophils distinguished using Siglec-F. Monocytes were identified from remaining cells as CD115<sup>&#x0002B;</sup>CD11b<sup>&#x0002B;</sup>. B and T cells were identified within the remaining pool as CD19<sup>&#x0002B;</sup> or CD3<sup>&#x0002B;</sup>, respectively.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Conditional and inducible promoters vary in blood myeloid targeting. <bold>(A)</bold> Peripheral blood from reporter mice was assessed by flow cytometry and separated into subpopulations based on surface marker expression. <bold>(B)</bold> Reporter expression in blood subpopulations, shown as percent of each population expressing the reporter. <bold>(C)</bold> Representative histograms of reporter expression in Ly6C<sup>hi</sup> and Ly6C<sup>lo</sup> monocyte populations. Data are presented as mean&#x02009;&#x000B1;&#x02009;SD, <italic>n</italic>&#x02009;&#x0003D;&#x02009;3&#x02013;5 mice per group.</p></caption>
<graphic xlink:href="fimmu-08-01618-g002.tif"/>
</fig>
<p>Ly6C<sup>hi</sup> and Ly6C<sup>lo</sup> monocyte subsets were targeted by all four lines, with the highest percentage of cells targeted by Csf1r-Cre (Figures <xref ref-type="fig" rid="F2">2</xref>B,C). Csf1r-Cre, LysM-Cre, and CD68-rtTA were activated in neutrophils, and both Csf1r-Cre and LysM-Cre were activated in eosinophils (Figure <xref ref-type="fig" rid="F2">2</xref>B). Only Csf1r-Cre was completely activated in lymphocytes (Figure <xref ref-type="fig" rid="F2">2</xref>B). The data presented in Figure <xref ref-type="fig" rid="F2">2</xref>B is also summarized in Table <xref ref-type="table" rid="T1">1</xref> and representative histograms for all cell populations are shown in Figure <xref ref-type="supplementary-material" rid="SM2">S2</xref> in Supplementary Material.</p>
<p>Although resident tissue macrophages of other organs do not directly migrate to the lung, macrophages of other organs, particularly the bone marrow and spleen, regulate hematopoiesis, and impact circulating leukocyte levels (<xref ref-type="bibr" rid="B31">31</xref>&#x02013;<xref ref-type="bibr" rid="B33">33</xref>). We examined reporter expression of Csf1r-Cre, LysM-Cre, CX<sub>3</sub>CR1-ERCre, and CD68-rtTA-driven lines in bone marrow, spleen, and PL using flow cytometry (Figures <xref ref-type="supplementary-material" rid="SM3">S3</xref>A,B,E in Supplementary Material). Macrophages in all three tissues were targeted by all four drivers (Figures <xref ref-type="supplementary-material" rid="SM3">S3</xref>C,D,F,G in Supplementary Material).</p>
</sec>
<sec id="S3-4">
<title>Timing of Inducible Cre Systems Can Be Used to Refine Specificity for Lung IM</title>
<p>A distinct advantage of inducible Cre systems such as CX<sub>3</sub>CR1-ERCre and CD68-rtTA is that the timing and duration of tamoxifen or doxycycline administration can be used to enhance cell selectivity and specificity. As an example, we explored the kinetics of dosing in both inducible strains to refine targeting of IM. Mice were treated with either tamoxifen or doxycycline for 1&#x02009;week, then the drug was withdrawn and reporter expression was examined 1, 2, and 4&#x02009;weeks later.</p>
<p>In the lung tissue of both CX<sub>3</sub>CR1-ERCre and CD68-rtTA mice, IM1 and IM2 reporter expression remained stable after tamoxifen or doxycycline was withdrawn, with only a 5% decrease in reporter positive cells over 4&#x02009;weeks (Figures <xref ref-type="fig" rid="F3">3</xref>A,B). IM3 showed a steeper rate of declining reporter expression, with a 20% decrease in reporter positive cells (Figures <xref ref-type="fig" rid="F3">3</xref>A,B). As anticipated, ResAM were reporter negative at all times. Importantly, the percentage of reporter positive DC dropped to less than 10% in CX<sub>3</sub>CR1-ERCre mice by 4&#x02009;weeks and to less than 30% in CD68-rtTA mice. Reporter expression was similarly low in lymphocytes isolated from the lungs, with the exception of NK cells in CX<sub>3</sub>CR1-ERCre mice, in which nearly 25% remained positive (Figures <xref ref-type="fig" rid="F3">3</xref>C,D).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Dosing of tamoxifen and doxycycline can be manipulated to enhance targeting of interstitial macrophages (IMs) in inducible systems. CX<sub>3</sub>CR1-estrogen receptor-Cre (ERCre) and CD68-rtTA reporter mice were administered tamoxifen or doxycycline, respectively, for 1&#x02009;week, then administration was halted and mice were examined 1, 2, and 4&#x02009;weeks later. <bold>(A)</bold> Reporter expression in lung myeloid cells from CX<sub>3</sub>CR1-ERCre mice over time after withdrawal from tamoxifen. <bold>(B)</bold> Reporter expression in lung myeloid cells from CD68-rtTA mice over time after withdrawal from doxycycline. <bold>(C)</bold> Reporter expression in lung lymphoid cells from CX<sub>3</sub>CR1-ERCre mice over time after withdrawal from tamoxifen. <bold>(D)</bold> Reporter expression in lung lymphoid cells from CD68-rtTA mice over time after withdrawal from doxycycline. <bold>(E)</bold> Reporter expression in peripheral blood cells from CX<sub>3</sub>CR1-ERCre mice over time after withdrawal from tamoxifen. <bold>(F)</bold> Reporter expression peripheral blood cells from CD68-rtTA mice over time after withdrawal from doxycycline. Data are presented as mean&#x02009;&#x000B1;&#x02009;SD, <italic>n</italic>&#x02009;&#x0003D;&#x02009;3&#x02013;5 mice per group.</p></caption>
<graphic xlink:href="fimmu-08-01618-g003.tif"/>
</fig>
<p>Reporter expression in neutrophils and monocytes from peripheral blood was also lost after 4&#x02009;weeks of tamoxifen or doxycycline withdrawal (Figures <xref ref-type="fig" rid="F3">3</xref>E,F). Virtually, all of the neutrophils and Ly6C<sup>hi</sup> monocytes were TdTomato reporter negative, whereas approximately 20% of Ly6C<sup>lo</sup> monocytes remained TdTomato positive in both strains. These findings support the concept that neutrophils and Ly6C<sup>hi</sup> monocytes have relatively short lifespans, and that turnover of neutrophils and Ly6C<sup>hi</sup> monocytes are relatively high (<xref ref-type="bibr" rid="B30">30</xref>). In addition, since excision of floxed alleles is permanent in affected cells (i.e., cells stay reporter positive for life), the observation that the IM3 population gradually loses reporter expression suggests that at least a portion of these cells are replaced by monocyte precursors, supporting previous reports using parabiotic mice (<xref ref-type="bibr" rid="B14">14</xref>). Taken together, these findings show that dosing of tamoxifen and doxycycline can be manipulated to enhance targeting of IMs in CD68-rtTA and CX<sub>3</sub>CR1-ERCre mice.</p>
</sec>
<sec id="S3-5">
<title>Conditional Cre Systems Target Recruited Alveolar Macrophages following LPS Injury</title>
<p>Inflammation has been reported to alter Cre activity, and during inflammation a new population of macrophages is present in the lung airways: RecM&#x003A6;. This macrophage population is believed to arise from infiltrating monocytes maturing <italic>in situ</italic>, and can be distinguished from ResAM by high expression of CD11b (Figure <xref ref-type="fig" rid="F4">4</xref>A) [and low expression of Siglec-F (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B34">34</xref>)]. We assessed Csf1r-Cre and LysM-Cre reporter mice following LPS injury for the potential changes to Cre activity and measured reporter expression in recruited macrophages. RecM&#x003A6; were targeted by both Csf1r-Cre and LysM-Cre with near 100% efficiency (Figures <xref ref-type="fig" rid="F4">4</xref>B&#x02013;D). Efficiency for all three IM populations was also high (&#x0003E;95%; Table <xref ref-type="table" rid="T2">2</xref>). However, as seen during homeostasis, other leukocyte populations were also highly targeted in Csf1r-Cre mice and to a lesser extent in LysM-Cre animals (Table <xref ref-type="table" rid="T2">2</xref>).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Csf1r-Cre and LysM-Cre promoters target RecM&#x003A6; after LPS lung injury. Csf1r-Cre and LysM-Cre reporter mice were administered intratracheally (IT) LPS. After 6&#x02009;days, reporter expression was examined. <bold>(A)</bold> Bronchoalveolar lavage (BAL) from na&#x000EF;ve mice contains only CD11c<sup>hi</sup>CD11b<sup>lo</sup> resident alveolar macrophages (ResAM). <bold>(B)</bold> BAL from mice 6&#x02009;days after IT LPS contains ResAM and RecM&#x003A6; subpopulations that can be separated based on CD11b and CD11c expression. <bold>(C)</bold> Reporter expression in ResAM and RecM&#x003A6; after LPS. <bold>(D)</bold> Representative histograms of RecM&#x003A6; reporter expression. Data are presented as mean&#x02009;&#x000B1;&#x02009;SD, <italic>n</italic>&#x02009;&#x0003D;&#x02009;4 mice per group.</p></caption>
<graphic xlink:href="fimmu-08-01618-g004.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Reporter expression in cell populations from bronchoalveolar lavage (BAL), lung digest, and peripheral blood 6&#x02009;days after intratracheally LPS.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center">Csf1r-Cre</th>
<th valign="top" align="center">LysM-Cre</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">BAL</td>
<td align="left" valign="top">ResAM</td>
<td align="center" valign="top">98.9&#x02009;&#x000B1;&#x02009;0.7</td>
<td align="center" valign="top">96.6&#x02009;&#x000B1;&#x02009;0.9</td>
</tr>
<tr>
<td align="left" valign="top">RecM&#x003A6;</td>
<td align="center" valign="top">99.9&#x02009;&#x000B1;&#x02009;0.2</td>
<td align="center" valign="top">95.2&#x02009;&#x000B1;&#x02009;2.5</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4"><hr/></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="9">Lung digest</td>
<td align="left" valign="top">IM1</td>
<td align="center" valign="top">96.6&#x02009;&#x000B1;&#x02009;0.7</td>
<td align="center" valign="top">90.2&#x02009;&#x000B1;&#x02009;2.7</td>
</tr>
<tr>
<td align="left" valign="top">IM2</td>
<td align="center" valign="top">98.2&#x02009;&#x000B1;&#x02009;0.8</td>
<td align="center" valign="top">93.9&#x02009;&#x000B1;&#x02009;0.5</td>
</tr>
<tr>
<td align="left" valign="top">IM3</td>
<td align="center" valign="top">98.9&#x02009;&#x000B1;&#x02009;0.6</td>
<td align="center" valign="top">93.5&#x02009;&#x000B1;&#x02009;0.9</td>
</tr>
<tr>
<td align="left" valign="top">CD11b<sup>&#x0002B;</sup> DC</td>
<td align="center" valign="top">98.6&#x02009;&#x000B1;&#x02009;0.9</td>
<td align="center" valign="top">53.6&#x02009;&#x000B1;&#x02009;4.4</td>
</tr>
<tr>
<td align="left" valign="top">CD103<sup>&#x0002B;</sup> DC</td>
<td align="center" valign="top">98.4&#x02009;&#x000B1;&#x02009;0.6</td>
<td align="center" valign="top">48.4&#x02009;&#x000B1;&#x02009;6.8</td>
</tr>
<tr>
<td align="left" valign="top">T cells</td>
<td align="center" valign="top">91.9&#x02009;&#x000B1;&#x02009;1.4</td>
<td align="center" valign="top">3.1&#x02009;&#x000B1;&#x02009;0.7</td>
</tr>
<tr>
<td align="left" valign="top">B cells</td>
<td align="center" valign="top">79.9&#x02009;&#x000B1;&#x02009;6.8</td>
<td align="center" valign="top">5.2&#x02009;&#x000B1;&#x02009;0.8</td>
</tr>
<tr>
<td align="left" valign="top">&#x003B3;&#x003B4; T cells</td>
<td align="center" valign="top">91.5&#x02009;&#x000B1;&#x02009;2.3</td>
<td align="center" valign="top">3.4&#x02009;&#x000B1;&#x02009;1.1</td>
</tr>
<tr>
<td align="left" valign="top">NK cells</td>
<td align="center" valign="top">97.6&#x02009;&#x000B1;&#x02009;0.5</td>
<td align="center" valign="top">14.7&#x02009;&#x000B1;&#x02009;1.1</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4"><hr/></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="6">Blood</td>
<td align="left" valign="top">Neutrophils</td>
<td align="center" valign="top">99.8&#x02009;&#x000B1;&#x02009;0.2</td>
<td align="center" valign="top">98.9&#x02009;&#x000B1;&#x02009;0.5</td>
</tr>
<tr>
<td align="left" valign="top">Eosinophils</td>
<td align="center" valign="top">98.8&#x02009;&#x000B1;&#x02009;0.4</td>
<td align="center" valign="top">12.5&#x02009;&#x000B1;&#x02009;0.5</td>
</tr>
<tr>
<td align="left" valign="top">Ly6C<sup>hi</sup> monocytes</td>
<td align="center" valign="top">99.9&#x02009;&#x000B1;&#x02009;0.3</td>
<td align="center" valign="top">78.2&#x02009;&#x000B1;&#x02009;1.7</td>
</tr>
<tr>
<td align="left" valign="top">Ly6C<sup>lo</sup> monocytes</td>
<td align="center" valign="top">99.9&#x02009;&#x000B1;&#x02009;0.2</td>
<td align="center" valign="top">88.1&#x02009;&#x000B1;&#x02009;1.0</td>
</tr>
<tr>
<td align="left" valign="top">T cells</td>
<td align="center" valign="top">99.8&#x02009;&#x000B1;&#x02009;0.1</td>
<td align="center" valign="top">4.2&#x02009;&#x000B1;&#x02009;0.8</td>
</tr>
<tr>
<td align="left" valign="top">B cells</td>
<td align="center" valign="top">87.8&#x02009;&#x000B1;&#x02009;4.2</td>
<td align="center" valign="top">2.9&#x02009;&#x000B1;&#x02009;0.4</td>
</tr>
</tbody>
</table>
<table-wrap-foot><p><italic>Data are presented as mean&#x02009;&#x000B1;&#x02009;SD, n&#x02009;&#x0003D;&#x02009;4 mice per group</italic>.</p></table-wrap-foot></table-wrap>
</sec>
<sec id="S3-6">
<title>ResAM Are Resistant to rtTA-Driven Doxycycline-Induced Transgene Expression</title>
<p>We have previously reported that ResAM do not activate CD68-rtTA <italic>in vivo</italic> after 21&#x02009;days of doxycycline, or <italic>in vitro</italic> when doxycycline was provided in culture media for 4&#x02009;days (<xref ref-type="bibr" rid="B29">29</xref>). However, it was unclear whether this restriction reflected a failure to activate the CD68 promoter or resulted from decreased rtTA activity. To assess this, we obtained R26-rtTA mice (<xref ref-type="bibr" rid="B35">35</xref>), where rtTA is expressed under control of the Rosa26 promoter, which is ubiquitously expressed by all leukocytes including ResAM (<xref ref-type="bibr" rid="B36">36</xref>). Both CD68-rtTA and R26-rtTA mice were crossed with tetOn-GFP mice, and resulting offspring were administered doxycycline for 10&#x02009;months. Notably, ResAM from CD68-rtTA mice remained GFP negative, although the majority of myeloid cells (including IM) were GFP positive (Figures <xref ref-type="fig" rid="F5">5</xref>A,B). Strikingly, ResAM from R26-rtTA mice also failed to express GFP, whereas &#x0003E;95% of other leukocytes were GFP positive (Figures <xref ref-type="fig" rid="F5">5</xref>A,C). We conclude that ResAM are resistant to the activation of rtTA-driven systems. Accordingly, the CD68-rtTA system can be exploited to target-specific lung tissue macrophage populations and to distinguish the roles they play during both homeostasis and in lung disease.</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Expression of rtTA and administration of doxycycline fails to activate tet-On genes in resident alveolar macrophages (ResAM). CD68-rtTA and R26-rtTA reporter mice were administered doxycycline for 10&#x02009;months, then reporter expression was examined in the lung. <bold>(A)</bold> Reporter expression in ResAM and interstitial macrophages (IM) after 10&#x02009;months of doxycycline administration. <bold>(B)</bold> Representative histograms of ResAM (red) and IM (blue) from CD68-rtTA reporter mice overlaid on ResAM from non-reporter control animals (gray); dot plot of ResAM (red) and IM (blue) from CD68-rtTA reporter mice overlaid on all other CD45<sup>&#x0002B;</sup> cells (gray) from R26-rtTA reporter mice. <bold>(C)</bold> Representative histograms of ResAM (red) and IM (blue) from R26-rtTA reporter mice overlaid on ResAM from non-reporter control animals (gray); dot plot of ResAM (red) and IM (blue) from R26-rtTA reporter mice overlaid on all other CD45<sup>&#x0002B;</sup> cells (gray) from R26-rtTA reporter mice. Data are presented as mean&#x02009;&#x000B1;&#x02009;SD, <italic>n</italic>&#x02009;&#x0003D;&#x02009;4&#x02013;5 mice per group.</p></caption>
<graphic xlink:href="fimmu-08-01618-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>Cre-LoxP strategies are commonly employed to delete genes in specific cell types or tissues. However, accurate data interpretation requires a firm understanding of the underlying genetic principles and detailed knowledge regarding the specificity and efficiency of the Cre driver. To this end, we assessed the operating characteristics of four commonly used and commercially available mouse lines that are published as &#x0201C;macrophage targeting&#x0201D;: Csf1r-Cre, LysM-Cre, CX<sub>3</sub>CR1-ERCre, and CD68-rtTA. We found that each line targeted multiple non-macrophage populations in the lungs and circulation. In conditional deletion systems, LysM-Cre had greater specificity for lung macrophages than Csf1r-Cre but also targeted type II alveolar cells, and was less efficient at targeting monocytes. The CX<sub>3</sub>CR1-ERCre and CD68-rtTA systems robustly targeted IMs and trafficking monocytes, but did not delete floxed genes in resident AMs. Non-macrophage populations were also targeted in these inducible systems; however, macrophage specificity was improved once tamoxifen or doxycycline was withdrawn. As discussed below, these findings can be used to one&#x02019;s advantage and can enable time and cell-specific targeting of specific lung macrophage populations.</p>
<p>It is critical to appreciate that in conditional and inducible Cre lines, once a cell activates the driver promoter, floxed DNA sequences will be permanently deleted from that time forward&#x02014;even if the driver promoter is later downregulated. Moreover, the floxed sequences will also be permanently deleted in all daughter cells. This point can be best illustrated by comparing CX<sub>3</sub>CR1-Cre mice (<xref ref-type="bibr" rid="B11">11</xref>) (not studied herein) to CX<sub>3</sub>CR1-ERCre mice. In conditional CX<sub>3</sub>CR1-Cre mice, floxed alleles are deleted in ResAM because the precursors for ResAM express CX<sub>3</sub>CR1 during embryogenesis. However, in the inducible CX<sub>3</sub>CR1-ERCre mice ResAM are not targeted when tamoxifen is administered to adult mice because mature ResAM do not express CX<sub>3</sub>CR1 and are not replaced by circulating monocytes (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Importantly, the cell specificity of Cre-LoxP strategies may differ from that of non-Cre reporter systems. For instance, in our studies the Csf1r-Cre system affects almost all leukocytes. In comparison, when the Csf1r promoter is used to directly drive a fluorescent reporter [as in the Mafia mouse (<xref ref-type="bibr" rid="B37">37</xref>)], the fluorescent protein is only expressed when the Csf1r promoter is actively engaged. When promoter engagement ceases, GFP only remains until it is degraded, or until the cell undergoes sufficient divisions to dilute the signal. Accordingly, labeling is primarily restricted to myeloid cells in the Mafia mouse, even though the promoter is the same as in Csf1r-Cre animals. We speculate that early, irreversible recombination in hematopoietic precursor cells is responsible for the non-specific Cre activation in Csf1r-Cre mice even though in mature leukocytes Csf1r expression is restricted to myeloid cells.</p>
<p>The four Cre driver lines that we tested each have positives and negatives for their use. Csf1r-Cre targets ResAM and IM with the highest efficiency, but the lowest specificity. All leukocytes examined were targeted by Csf1r-Cre, although Csf1r-Cre did not target lung epithelium or endothelium. In contrast, nearly a quarter of lung epithelium was targeted by LysM-Cre. ResAM and IM were also targeted with high efficiency by LysM-Cre, but neutrophils, DC, and monocytes were affected as well. CX<sub>3</sub>CR1-ERCre targeted IM with high efficiency but did not target ResAM. CX<sub>3</sub>CR1-ERCre also targeted CD11b<sup>&#x0002B;</sup> DC, Ly6C<sup>lo</sup> monocytes, and NK cells, but did not affect other cell populations including lung endothelial and epithelial cells. Off-target effects on non-macrophage populations decreased once tamoxifen was withdrawn as CD11b<sup>&#x0002B;</sup> DC, monocytes, and NK cells were replaced by unaffected precursors. CD68-rtTA targeted IM with moderate efficiency, and did not target ResAM. CD68-rtTA also targeted DC, monocytes, and neutrophils, but did not affect lymphocytes, endothelial, or epithelial cells. As seen with CX<sub>3</sub>CR1-ERCre, off-target effects on non-macrophage populations decreased once doxycycline was withdrawn as DC, monocytes, and neutrophils were replaced by unaffected precursors.</p>
<p>Inducible CX<sub>3</sub>CR1-ERCre and CD68-rtTA mice provide an opportunity to discretely target IM without affecting ResAM. IM have been far less studied then ResAM due to the difficult nature of their isolation and their low numbers compared with ResAM. Hence, since the inducible model systems described herein uniquely target IM, these provide a critical advance for their study. Notably, the CX<sub>3</sub>CR1-ERCre system targets IM with slightly greater efficiency than CD68-rtTA and targets fewer DC, and no neutrophils, suggesting this may be the superior model. However, CX<sub>3</sub>CR1-ERCre affects NK cells, which is not observed in CD68-rtTA mice. Accordingly, both models represent powerful tools for the study of lung IM, especially when deletion of floxed alleles in ResAM is not desirable.</p>
<p>While the biologic mechanism that restricts CX<sub>3</sub>CR1-ERCre targeting in ResAM is clear (as discussed above), the failure of CD68-rtTA to target ResAM is less apparent since mature ResAM express high levels of CD68 (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B29">29</xref>). To this end, we examined activation of the R26-rtTA line in ResAM as a comparator. Like CD68, endogenous R26 protein is expressed by mature ResAM. However, R26-rtTA was not activated in ResAM. We therefore suggest that ResAM may not be amenable to targeting with doxycycline-inducible systems. Although not tested here, we speculate that ResAM have the ability to export doxycycline from the cell, thereby preventing its action as a co-factor in the nucleus. Notably, ResAM uniquely express high levels of ABCG1, a homolog for bacterial transporters of tetracyclines. This does not diminish the utility of CD68-rtTA for lung studies, but should caution investigators about attempting to use any rtTA system to target ResAM.</p>
<p>Although we have identified two viable lines for the study of IM, none of the lines examined in this paper specifically target ResAM. CD11c-Cre has been reported to target ResAM, although careful studies of its specificity and efficiency have not been published. Since CD11c is expressed by DC, trafficking monocytes in tissue, some IM, and some lymphocytes (particularly NK cells), we expect that its targeting would be non-specific. Mafb-Cre provides an alternative possibility for targeting ResAM because it is required for the differentiation of monocytes and macrophages, but suppresses DC and granulocyte differentiation (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>). Although <italic>Mafb</italic> expression in mature ResAM is very low, ResAM are targeted by Mafb-Cre (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B39">39</xref>) presumably due to activation in precursors. Additionally, Mafb-Cre minimally affects DC or granulocytes, and although bulk monocytes express Mafb, reporter mice showed that Mafb-Cre targeted only 10% of Ly6C<sup>hi</sup> and 40% of Ly6C<sup>lo</sup> monocytes (<xref ref-type="bibr" rid="B39">39</xref>). RecM&#x003A6; in the lung following exposure to house dust mite antigen are targeted by Mafb-Cre (<xref ref-type="bibr" rid="B39">39</xref>). IM targeting has not been assessed, although we would expect IM to be efficiently targeted. Targeting of B cells was found to be very low (<xref ref-type="bibr" rid="B39">39</xref>), although targeting of other lymphocytes or lung epithelial cells was not reported. The lack of DC and granulocyte targeting makes Mafb-Cre a promising line for discrete targeting of macrophages. Both CD11c-Cre and Mafb-Cre are commercially available. However, both CD11c-Cre and Mafb-Cre will target macrophages in many organs, not specifically lung macrophages, as we observed for Csf1r-Cre, LysM-Cre, CX<sub>3</sub>CR1-ERCre, and CD68-rtTA. In addition, Mafb-Cre will not discriminate gene deletion between ResAM and IM in the lung. Lack of organ specificity is another limiting factor of &#x0201C;macrophage specific&#x0201D; conditional and inducible systems. We hypothesize a tamoxifen-inducible Siglec-F-ERCre might overcome this limitation and provide a lung ResAM-specific inducible system. ResAM are the only tissue macrophage known to express Siglec-F (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B40">40</xref>). Siglec-F is not expressed by DC or monocytes, although it is expressed by granulocytes, particularly eosinophils. Theoretically, a pulse-wait of tamoxifen should target ResAM while targeted granulocytes turnover and are replaced from untargeted precursors. To our knowledge, no Siglec-F-driven lines have been developed.</p>
<p>The use of animal models remains a powerful tool for understanding the homeostatic functions of lung macrophages and their roles in pulmonary disease. While useful, Cre-LoxP systems are imperfect, and understanding their limitations is necessary for effective use. With a firm understanding of the populations targeted by each driver, vagaries of the system may even be harnessed to one&#x02019;s advantage, such as in the case of CD68-rtTA mice being used to target IM without targeting ResAM. In general, neither Csf1r-Cre nor LysM-Cre are specific for macrophages&#x02014;a problem for their use in the study of lung macrophages. Inducible CX<sub>3</sub>CR1-ERCre and CD68-rtTA systems show increased specificity for macrophages, particularly after pulse-wait of tamoxifen or doxycycline, however, they only target IM and not ResAM. Ultimately, each investigator must choose for themselves which system introduces the fewest confounding factors for their research. The data provided herein aim to assist with that decision, but there is clear room for improvement in developing new lines for conditional targeting of lung macrophages.</p>
</sec>
<sec id="S5">
<title>Ethics Statement</title>
<p>This study was carried out in accordance with the recommendations of the Institutional Animal Care and Use Committee at National Jewish Health. The protocol was approved by the Institutional Animal Care and Use Committee at National Jewish Health (approval &#x00023;AS2574-01-20).</p>
</sec>
<sec id="S6" sec-type="author-contributor">
<title>Author Contributions</title>
<p>AM, WJ, and CJ conceived of the study; AM and KA executed experiments; AM, WJ, CJ, and AL-S prepared the manuscript; all authors provided intellectual input, critical feedback, discussed results, and designed experiments.</p>
</sec>
<sec id="S7">
<title>Conflict of Interest Statement</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>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This study was funded by NIH: R01 HL109517, R01 HL130938 (WJ), T32 HL007085-42 (AM), R01 HL115334 (CJ).</p></fn>
</fn-group>
<sec id="S8" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at <uri xlink:href="http://www.frontiersin.org/article/10.3389/fimmu.2017.01618/full&#x00023;supplementary-material">http://www.frontiersin.org/article/10.3389/fimmu.2017.01618/full&#x00023;supplementary-material</uri>.</p>
<supplementary-material xlink:href="image_1.jpeg" id="SM1" mimetype="applicationn/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink"><label>Figure S1</label><caption><p>Representative histograms of reporter expression in lung cell populations from reporter lines. For each lung cell population assessed in Figure <xref ref-type="fig" rid="F1">1</xref>, representative histograms of reporter expression are shown from Csf1r-Cre, LysM-Cre, CX<sub>3</sub>CR1-estrogen receptor-Cre (ERCre), and CD68-rtTA reporter mice. CX<sub>3</sub>CR1-ERCre and CD68-rtTA data are from mice administered tamoxifen or doxycycline for 1&#x02009;week. Gray histogram shows florescence of cells from non-reporter control mice.</p></caption></supplementary-material>
<supplementary-material xlink:href="image_2.jpeg" id="SM2" mimetype="applicationn/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink"><label>Figure S2</label><caption><p>Representative histograms of reporter expression in peripheral blood populations from reporter lines. For each peripheral blood population assessed in Figure <xref ref-type="fig" rid="F2">2</xref>, representative histograms of reporter expression are shown from Csf1r-Cre, LysM-Cre, CX<sub>3</sub>CR1-estrogen receptor-Cre (ERCre), and CD68-rtTA reporter mice. CX<sub>3</sub>CR1-ERCre and CD68-rtTA data are from mice administered tamoxifen or doxycycline for 1&#x02009;week. Gray histogram shows florescence of cells from non-reporter control mice.</p></caption></supplementary-material>
<supplementary-material xlink:href="image_3.jpeg" id="SM3" mimetype="applicationn/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink"><label>Figure S3</label><caption><p>Conditional and inducible promoters vary in targeting bone marrow, splenic, and peritoneal macrophages. <bold>(A)</bold> Spleen from reporter mice was assessed by flow cytometry and separated into subpopulations based on surface marker expression. <bold>(B)</bold> Bone marrow from reporter mice was assessed by flow cytometry and separated into subpopulations based on surface marker expression. <bold>(C)</bold> Reporter expression in splenic and bone marrow CD11b<sup>&#x0002B;</sup>CD11c<sup>&#x0002B;</sup>Gr-1<sup>&#x02212;</sup> macrophages, shown as percent of cells expressing the reporter. <bold>(D)</bold> Representative histograms of reporter expression of CD11b<sup>&#x0002B;</sup>CD11c<sup>&#x0002B;</sup>Gr-1<sup>&#x02212;</sup> splenic and bone marrow macrophages. <bold>(E)</bold> Peritoneal lavage from reporter mice was assessed by flow cytometry and separated into subpopulations based on surface marker expression. <bold>(F)</bold> Reporter expression of Tim4<sup>hi</sup> and Tim4<sup>lo</sup> peritoneal macrophages, shown as percent of cells expressing the reporter. <bold>(G)</bold> Representative histograms of reporter expression in peritoneal macrophages. Resident peritoneal macrophages were not observed in lavage following IP tamoxifen, therefore no data are shown for peritoneal macrophages from CX<sub>3</sub>CR1-estrogen receptor-Cre mice. Data are presented as mean&#x02009;&#x000B1;&#x02009;SD, <italic>n</italic>&#x02009;&#x0003D;&#x02009;3&#x02013;5 mice per group.</p></caption></supplementary-material>
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