Single-Cell Profiling Reveals Divergent, Globally Patterned Immune Responses in Murine Skin Inflammation

Summary: Inflammatory response heterogeneity has impeded high-resolution dissection of diverse immune cell populations during activation. We characterize mouse cutaneous immune cells by single-cell RNA sequencing, after inducing inflammation using imiquimod and oxazolone dermatitis models. We identi...
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Autor*in:	Yale Liu [verfasserIn] Christopher Cook [verfasserIn] Andrew J. Sedgewick [verfasserIn] Shuyi Zhang [verfasserIn] Marlys S. Fassett [verfasserIn] Roberto R. Ricardo-Gonzalez [verfasserIn] Paymann Harirchian [verfasserIn] Sakeen W. Kashem [verfasserIn] Sho Hanakawa [verfasserIn] Jacob R. Leistico [verfasserIn] Jeffrey P. North [verfasserIn] Mark A. Taylor [verfasserIn] Wei Zhang [verfasserIn] Mao-Qiang Man [verfasserIn] Alexandra Charruyer [verfasserIn] Nadejda Beliakova-Bethell [verfasserIn] Stephen C. Benz [verfasserIn] Ruby Ghadially [verfasserIn] Theodora M. Mauro [verfasserIn] Daniel H. Kaplan [verfasserIn] Kenji Kabashima [verfasserIn] Jaehyuk Choi [verfasserIn] Jun S. Song [verfasserIn] Raymond J. Cho [verfasserIn] Jeffrey B. Cheng [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Immunology Systems Biology

Übergeordnetes Werk:	In: iScience - Elsevier, 2019, 23(2020), 10, Seite 101582-
Übergeordnetes Werk:	volume:23 ; year:2020 ; number:10 ; pages:101582-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.isci.2020.101582

Katalog-ID:	DOAJ077197097

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520			\|a Summary: Inflammatory response heterogeneity has impeded high-resolution dissection of diverse immune cell populations during activation. We characterize mouse cutaneous immune cells by single-cell RNA sequencing, after inducing inflammation using imiquimod and oxazolone dermatitis models. We identify 13 CD45+ subpopulations, which broadly represent most functionally characterized immune cell types. Oxazolone pervasively upregulates Jak2/Stat3 expression across T cells and antigen-presenting cells (APCs). Oxazolone also induces Il4/Il13 expression in newly infiltrating basophils, and Il4ra and Ccl24, most prominently in APCs. In contrast, imiquimod broadly upregulates Il17/Il22 and Ccl4/Ccl5. A comparative analysis of single-cell inflammatory transcriptional responses reveals that APC response to oxazolone is tightly restricted by cell identity, whereas imiquimod enforces shared programs on multiple APC populations in parallel. These global molecular patterns not only contrast immune responses on a systems level but also suggest that the mechanisms of new sources of inflammation can eventually be deduced by comparison to known signatures.
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publishDate	2020
allfields	10.1016/j.isci.2020.101582 doi (DE-627)DOAJ077197097 (DE-599)DOAJ642c47211ea24e3c8cf04b0ca1279bd0 DE-627 ger DE-627 rakwb eng Yale Liu verfasserin aut Single-Cell Profiling Reveals Divergent, Globally Patterned Immune Responses in Murine Skin Inflammation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: Inflammatory response heterogeneity has impeded high-resolution dissection of diverse immune cell populations during activation. We characterize mouse cutaneous immune cells by single-cell RNA sequencing, after inducing inflammation using imiquimod and oxazolone dermatitis models. We identify 13 CD45+ subpopulations, which broadly represent most functionally characterized immune cell types. Oxazolone pervasively upregulates Jak2/Stat3 expression across T cells and antigen-presenting cells (APCs). Oxazolone also induces Il4/Il13 expression in newly infiltrating basophils, and Il4ra and Ccl24, most prominently in APCs. In contrast, imiquimod broadly upregulates Il17/Il22 and Ccl4/Ccl5. A comparative analysis of single-cell inflammatory transcriptional responses reveals that APC response to oxazolone is tightly restricted by cell identity, whereas imiquimod enforces shared programs on multiple APC populations in parallel. These global molecular patterns not only contrast immune responses on a systems level but also suggest that the mechanisms of new sources of inflammation can eventually be deduced by comparison to known signatures. Immunology Systems Biology Science Q Christopher Cook verfasserin aut Andrew J. Sedgewick verfasserin aut Shuyi Zhang verfasserin aut Marlys S. Fassett verfasserin aut Roberto R. Ricardo-Gonzalez verfasserin aut Paymann Harirchian verfasserin aut Sakeen W. Kashem verfasserin aut Sho Hanakawa verfasserin aut Jacob R. Leistico verfasserin aut Jeffrey P. North verfasserin aut Mark A. Taylor verfasserin aut Wei Zhang verfasserin aut Mao-Qiang Man verfasserin aut Alexandra Charruyer verfasserin aut Nadejda Beliakova-Bethell verfasserin aut Stephen C. Benz verfasserin aut Ruby Ghadially verfasserin aut Theodora M. Mauro verfasserin aut Daniel H. Kaplan verfasserin aut Kenji Kabashima verfasserin aut Jaehyuk Choi verfasserin aut Jun S. Song verfasserin aut Raymond J. Cho verfasserin aut Jeffrey B. Cheng verfasserin aut In iScience Elsevier, 2019 23(2020), 10, Seite 101582- (DE-627)1019532106 25890042 nnns volume:23 year:2020 number:10 pages:101582- https://doi.org/10.1016/j.isci.2020.101582 kostenfrei https://doaj.org/article/642c47211ea24e3c8cf04b0ca1279bd0 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004220307744 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 23 2020 10 101582-
spelling	10.1016/j.isci.2020.101582 doi (DE-627)DOAJ077197097 (DE-599)DOAJ642c47211ea24e3c8cf04b0ca1279bd0 DE-627 ger DE-627 rakwb eng Yale Liu verfasserin aut Single-Cell Profiling Reveals Divergent, Globally Patterned Immune Responses in Murine Skin Inflammation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: Inflammatory response heterogeneity has impeded high-resolution dissection of diverse immune cell populations during activation. We characterize mouse cutaneous immune cells by single-cell RNA sequencing, after inducing inflammation using imiquimod and oxazolone dermatitis models. We identify 13 CD45+ subpopulations, which broadly represent most functionally characterized immune cell types. Oxazolone pervasively upregulates Jak2/Stat3 expression across T cells and antigen-presenting cells (APCs). Oxazolone also induces Il4/Il13 expression in newly infiltrating basophils, and Il4ra and Ccl24, most prominently in APCs. In contrast, imiquimod broadly upregulates Il17/Il22 and Ccl4/Ccl5. A comparative analysis of single-cell inflammatory transcriptional responses reveals that APC response to oxazolone is tightly restricted by cell identity, whereas imiquimod enforces shared programs on multiple APC populations in parallel. These global molecular patterns not only contrast immune responses on a systems level but also suggest that the mechanisms of new sources of inflammation can eventually be deduced by comparison to known signatures. Immunology Systems Biology Science Q Christopher Cook verfasserin aut Andrew J. Sedgewick verfasserin aut Shuyi Zhang verfasserin aut Marlys S. Fassett verfasserin aut Roberto R. Ricardo-Gonzalez verfasserin aut Paymann Harirchian verfasserin aut Sakeen W. Kashem verfasserin aut Sho Hanakawa verfasserin aut Jacob R. Leistico verfasserin aut Jeffrey P. North verfasserin aut Mark A. Taylor verfasserin aut Wei Zhang verfasserin aut Mao-Qiang Man verfasserin aut Alexandra Charruyer verfasserin aut Nadejda Beliakova-Bethell verfasserin aut Stephen C. Benz verfasserin aut Ruby Ghadially verfasserin aut Theodora M. Mauro verfasserin aut Daniel H. Kaplan verfasserin aut Kenji Kabashima verfasserin aut Jaehyuk Choi verfasserin aut Jun S. Song verfasserin aut Raymond J. Cho verfasserin aut Jeffrey B. Cheng verfasserin aut In iScience Elsevier, 2019 23(2020), 10, Seite 101582- (DE-627)1019532106 25890042 nnns volume:23 year:2020 number:10 pages:101582- https://doi.org/10.1016/j.isci.2020.101582 kostenfrei https://doaj.org/article/642c47211ea24e3c8cf04b0ca1279bd0 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004220307744 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 23 2020 10 101582-
allfields_unstemmed	10.1016/j.isci.2020.101582 doi (DE-627)DOAJ077197097 (DE-599)DOAJ642c47211ea24e3c8cf04b0ca1279bd0 DE-627 ger DE-627 rakwb eng Yale Liu verfasserin aut Single-Cell Profiling Reveals Divergent, Globally Patterned Immune Responses in Murine Skin Inflammation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: Inflammatory response heterogeneity has impeded high-resolution dissection of diverse immune cell populations during activation. We characterize mouse cutaneous immune cells by single-cell RNA sequencing, after inducing inflammation using imiquimod and oxazolone dermatitis models. We identify 13 CD45+ subpopulations, which broadly represent most functionally characterized immune cell types. Oxazolone pervasively upregulates Jak2/Stat3 expression across T cells and antigen-presenting cells (APCs). Oxazolone also induces Il4/Il13 expression in newly infiltrating basophils, and Il4ra and Ccl24, most prominently in APCs. In contrast, imiquimod broadly upregulates Il17/Il22 and Ccl4/Ccl5. A comparative analysis of single-cell inflammatory transcriptional responses reveals that APC response to oxazolone is tightly restricted by cell identity, whereas imiquimod enforces shared programs on multiple APC populations in parallel. These global molecular patterns not only contrast immune responses on a systems level but also suggest that the mechanisms of new sources of inflammation can eventually be deduced by comparison to known signatures. Immunology Systems Biology Science Q Christopher Cook verfasserin aut Andrew J. Sedgewick verfasserin aut Shuyi Zhang verfasserin aut Marlys S. Fassett verfasserin aut Roberto R. Ricardo-Gonzalez verfasserin aut Paymann Harirchian verfasserin aut Sakeen W. Kashem verfasserin aut Sho Hanakawa verfasserin aut Jacob R. Leistico verfasserin aut Jeffrey P. North verfasserin aut Mark A. Taylor verfasserin aut Wei Zhang verfasserin aut Mao-Qiang Man verfasserin aut Alexandra Charruyer verfasserin aut Nadejda Beliakova-Bethell verfasserin aut Stephen C. Benz verfasserin aut Ruby Ghadially verfasserin aut Theodora M. Mauro verfasserin aut Daniel H. Kaplan verfasserin aut Kenji Kabashima verfasserin aut Jaehyuk Choi verfasserin aut Jun S. Song verfasserin aut Raymond J. Cho verfasserin aut Jeffrey B. Cheng verfasserin aut In iScience Elsevier, 2019 23(2020), 10, Seite 101582- (DE-627)1019532106 25890042 nnns volume:23 year:2020 number:10 pages:101582- https://doi.org/10.1016/j.isci.2020.101582 kostenfrei https://doaj.org/article/642c47211ea24e3c8cf04b0ca1279bd0 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004220307744 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 23 2020 10 101582-
allfieldsGer	10.1016/j.isci.2020.101582 doi (DE-627)DOAJ077197097 (DE-599)DOAJ642c47211ea24e3c8cf04b0ca1279bd0 DE-627 ger DE-627 rakwb eng Yale Liu verfasserin aut Single-Cell Profiling Reveals Divergent, Globally Patterned Immune Responses in Murine Skin Inflammation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: Inflammatory response heterogeneity has impeded high-resolution dissection of diverse immune cell populations during activation. We characterize mouse cutaneous immune cells by single-cell RNA sequencing, after inducing inflammation using imiquimod and oxazolone dermatitis models. We identify 13 CD45+ subpopulations, which broadly represent most functionally characterized immune cell types. Oxazolone pervasively upregulates Jak2/Stat3 expression across T cells and antigen-presenting cells (APCs). Oxazolone also induces Il4/Il13 expression in newly infiltrating basophils, and Il4ra and Ccl24, most prominently in APCs. In contrast, imiquimod broadly upregulates Il17/Il22 and Ccl4/Ccl5. A comparative analysis of single-cell inflammatory transcriptional responses reveals that APC response to oxazolone is tightly restricted by cell identity, whereas imiquimod enforces shared programs on multiple APC populations in parallel. These global molecular patterns not only contrast immune responses on a systems level but also suggest that the mechanisms of new sources of inflammation can eventually be deduced by comparison to known signatures. Immunology Systems Biology Science Q Christopher Cook verfasserin aut Andrew J. Sedgewick verfasserin aut Shuyi Zhang verfasserin aut Marlys S. Fassett verfasserin aut Roberto R. Ricardo-Gonzalez verfasserin aut Paymann Harirchian verfasserin aut Sakeen W. Kashem verfasserin aut Sho Hanakawa verfasserin aut Jacob R. Leistico verfasserin aut Jeffrey P. North verfasserin aut Mark A. Taylor verfasserin aut Wei Zhang verfasserin aut Mao-Qiang Man verfasserin aut Alexandra Charruyer verfasserin aut Nadejda Beliakova-Bethell verfasserin aut Stephen C. Benz verfasserin aut Ruby Ghadially verfasserin aut Theodora M. Mauro verfasserin aut Daniel H. Kaplan verfasserin aut Kenji Kabashima verfasserin aut Jaehyuk Choi verfasserin aut Jun S. Song verfasserin aut Raymond J. Cho verfasserin aut Jeffrey B. Cheng verfasserin aut In iScience Elsevier, 2019 23(2020), 10, Seite 101582- (DE-627)1019532106 25890042 nnns volume:23 year:2020 number:10 pages:101582- https://doi.org/10.1016/j.isci.2020.101582 kostenfrei https://doaj.org/article/642c47211ea24e3c8cf04b0ca1279bd0 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004220307744 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 23 2020 10 101582-
allfieldsSound	10.1016/j.isci.2020.101582 doi (DE-627)DOAJ077197097 (DE-599)DOAJ642c47211ea24e3c8cf04b0ca1279bd0 DE-627 ger DE-627 rakwb eng Yale Liu verfasserin aut Single-Cell Profiling Reveals Divergent, Globally Patterned Immune Responses in Murine Skin Inflammation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: Inflammatory response heterogeneity has impeded high-resolution dissection of diverse immune cell populations during activation. We characterize mouse cutaneous immune cells by single-cell RNA sequencing, after inducing inflammation using imiquimod and oxazolone dermatitis models. We identify 13 CD45+ subpopulations, which broadly represent most functionally characterized immune cell types. Oxazolone pervasively upregulates Jak2/Stat3 expression across T cells and antigen-presenting cells (APCs). Oxazolone also induces Il4/Il13 expression in newly infiltrating basophils, and Il4ra and Ccl24, most prominently in APCs. In contrast, imiquimod broadly upregulates Il17/Il22 and Ccl4/Ccl5. A comparative analysis of single-cell inflammatory transcriptional responses reveals that APC response to oxazolone is tightly restricted by cell identity, whereas imiquimod enforces shared programs on multiple APC populations in parallel. These global molecular patterns not only contrast immune responses on a systems level but also suggest that the mechanisms of new sources of inflammation can eventually be deduced by comparison to known signatures. Immunology Systems Biology Science Q Christopher Cook verfasserin aut Andrew J. Sedgewick verfasserin aut Shuyi Zhang verfasserin aut Marlys S. Fassett verfasserin aut Roberto R. Ricardo-Gonzalez verfasserin aut Paymann Harirchian verfasserin aut Sakeen W. Kashem verfasserin aut Sho Hanakawa verfasserin aut Jacob R. Leistico verfasserin aut Jeffrey P. North verfasserin aut Mark A. Taylor verfasserin aut Wei Zhang verfasserin aut Mao-Qiang Man verfasserin aut Alexandra Charruyer verfasserin aut Nadejda Beliakova-Bethell verfasserin aut Stephen C. Benz verfasserin aut Ruby Ghadially verfasserin aut Theodora M. Mauro verfasserin aut Daniel H. Kaplan verfasserin aut Kenji Kabashima verfasserin aut Jaehyuk Choi verfasserin aut Jun S. Song verfasserin aut Raymond J. Cho verfasserin aut Jeffrey B. Cheng verfasserin aut In iScience Elsevier, 2019 23(2020), 10, Seite 101582- (DE-627)1019532106 25890042 nnns volume:23 year:2020 number:10 pages:101582- https://doi.org/10.1016/j.isci.2020.101582 kostenfrei https://doaj.org/article/642c47211ea24e3c8cf04b0ca1279bd0 kostenfrei http://www.sciencedirect.com/science/article/pii/S2589004220307744 kostenfrei https://doaj.org/toc/2589-0042 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 23 2020 10 101582-
language	English
source	In iScience 23(2020), 10, Seite 101582- volume:23 year:2020 number:10 pages:101582-
sourceStr	In iScience 23(2020), 10, Seite 101582- volume:23 year:2020 number:10 pages:101582-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Immunology Systems Biology Science Q
isfreeaccess_bool	true
container_title	iScience
authorswithroles_txt_mv	Yale Liu @@aut@@ Christopher Cook @@aut@@ Andrew J. Sedgewick @@aut@@ Shuyi Zhang @@aut@@ Marlys S. Fassett @@aut@@ Roberto R. Ricardo-Gonzalez @@aut@@ Paymann Harirchian @@aut@@ Sakeen W. Kashem @@aut@@ Sho Hanakawa @@aut@@ Jacob R. Leistico @@aut@@ Jeffrey P. North @@aut@@ Mark A. Taylor @@aut@@ Wei Zhang @@aut@@ Mao-Qiang Man @@aut@@ Alexandra Charruyer @@aut@@ Nadejda Beliakova-Bethell @@aut@@ Stephen C. Benz @@aut@@ Ruby Ghadially @@aut@@ Theodora M. Mauro @@aut@@ Daniel H. Kaplan @@aut@@ Kenji Kabashima @@aut@@ Jaehyuk Choi @@aut@@ Jun S. Song @@aut@@ Raymond J. Cho @@aut@@ Jeffrey B. Cheng @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	1019532106
id	DOAJ077197097
language_de	englisch
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author	Yale Liu
spellingShingle	Yale Liu misc Immunology misc Systems Biology misc Science misc Q Single-Cell Profiling Reveals Divergent, Globally Patterned Immune Responses in Murine Skin Inflammation
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topic_title	Single-Cell Profiling Reveals Divergent, Globally Patterned Immune Responses in Murine Skin Inflammation Immunology Systems Biology
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title	Single-Cell Profiling Reveals Divergent, Globally Patterned Immune Responses in Murine Skin Inflammation
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title_full	Single-Cell Profiling Reveals Divergent, Globally Patterned Immune Responses in Murine Skin Inflammation
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author_browse	Yale Liu Christopher Cook Andrew J. Sedgewick Shuyi Zhang Marlys S. Fassett Roberto R. Ricardo-Gonzalez Paymann Harirchian Sakeen W. Kashem Sho Hanakawa Jacob R. Leistico Jeffrey P. North Mark A. Taylor Wei Zhang Mao-Qiang Man Alexandra Charruyer Nadejda Beliakova-Bethell Stephen C. Benz Ruby Ghadially Theodora M. Mauro Daniel H. Kaplan Kenji Kabashima Jaehyuk Choi Jun S. Song Raymond J. Cho Jeffrey B. Cheng
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title_sort	single-cell profiling reveals divergent, globally patterned immune responses in murine skin inflammation
title_auth	Single-Cell Profiling Reveals Divergent, Globally Patterned Immune Responses in Murine Skin Inflammation
abstract	Summary: Inflammatory response heterogeneity has impeded high-resolution dissection of diverse immune cell populations during activation. We characterize mouse cutaneous immune cells by single-cell RNA sequencing, after inducing inflammation using imiquimod and oxazolone dermatitis models. We identify 13 CD45+ subpopulations, which broadly represent most functionally characterized immune cell types. Oxazolone pervasively upregulates Jak2/Stat3 expression across T cells and antigen-presenting cells (APCs). Oxazolone also induces Il4/Il13 expression in newly infiltrating basophils, and Il4ra and Ccl24, most prominently in APCs. In contrast, imiquimod broadly upregulates Il17/Il22 and Ccl4/Ccl5. A comparative analysis of single-cell inflammatory transcriptional responses reveals that APC response to oxazolone is tightly restricted by cell identity, whereas imiquimod enforces shared programs on multiple APC populations in parallel. These global molecular patterns not only contrast immune responses on a systems level but also suggest that the mechanisms of new sources of inflammation can eventually be deduced by comparison to known signatures.
abstractGer	Summary: Inflammatory response heterogeneity has impeded high-resolution dissection of diverse immune cell populations during activation. We characterize mouse cutaneous immune cells by single-cell RNA sequencing, after inducing inflammation using imiquimod and oxazolone dermatitis models. We identify 13 CD45+ subpopulations, which broadly represent most functionally characterized immune cell types. Oxazolone pervasively upregulates Jak2/Stat3 expression across T cells and antigen-presenting cells (APCs). Oxazolone also induces Il4/Il13 expression in newly infiltrating basophils, and Il4ra and Ccl24, most prominently in APCs. In contrast, imiquimod broadly upregulates Il17/Il22 and Ccl4/Ccl5. A comparative analysis of single-cell inflammatory transcriptional responses reveals that APC response to oxazolone is tightly restricted by cell identity, whereas imiquimod enforces shared programs on multiple APC populations in parallel. These global molecular patterns not only contrast immune responses on a systems level but also suggest that the mechanisms of new sources of inflammation can eventually be deduced by comparison to known signatures.
abstract_unstemmed	Summary: Inflammatory response heterogeneity has impeded high-resolution dissection of diverse immune cell populations during activation. We characterize mouse cutaneous immune cells by single-cell RNA sequencing, after inducing inflammation using imiquimod and oxazolone dermatitis models. We identify 13 CD45+ subpopulations, which broadly represent most functionally characterized immune cell types. Oxazolone pervasively upregulates Jak2/Stat3 expression across T cells and antigen-presenting cells (APCs). Oxazolone also induces Il4/Il13 expression in newly infiltrating basophils, and Il4ra and Ccl24, most prominently in APCs. In contrast, imiquimod broadly upregulates Il17/Il22 and Ccl4/Ccl5. A comparative analysis of single-cell inflammatory transcriptional responses reveals that APC response to oxazolone is tightly restricted by cell identity, whereas imiquimod enforces shared programs on multiple APC populations in parallel. These global molecular patterns not only contrast immune responses on a systems level but also suggest that the mechanisms of new sources of inflammation can eventually be deduced by comparison to known signatures.
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title_short	Single-Cell Profiling Reveals Divergent, Globally Patterned Immune Responses in Murine Skin Inflammation
url	https://doi.org/10.1016/j.isci.2020.101582 https://doaj.org/article/642c47211ea24e3c8cf04b0ca1279bd0 http://www.sciencedirect.com/science/article/pii/S2589004220307744 https://doaj.org/toc/2589-0042
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Single-Cell Profiling Reveals Divergent, Globally Patterned Immune Responses in Murine Skin Inflammation

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