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

Authors :
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
Source :
iScience, Vol 23, Iss 10, Pp 101582- (2020)
Publication Year :
2020
Publisher :
Elsevier, 2020.

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.

Subjects

Subjects :
Immunology
Systems Biology
Science

Details

Language :
English
ISSN :
25890042
Volume :
23
Issue :
10
Database :
Directory of Open Access Journals
Journal :
iScience
Publication Type :
Academic Journal
Accession number :
edsdoj.642c47211ea24e3c8cf04b0ca1279bd0
Document Type :
article
Full Text :
https://doi.org/10.1016/j.isci.2020.101582