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Series GSE202186 Query DataSets for GSE202186
Status Public on Jul 17, 2023
Title Single-cell RNA-seq dictionary of in vivo immune responses to cytokines
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Cytokines mediate cell-cell communication in the immune system and represent important therapeutic targets. While there have been in-depth studies of individual cytokines, we lack a global view of the responses of each major immune cell type to each cytokine. To address this gap we created the Immune Dictionary — a compendium of single-cell transcriptomic profiles of over 17 immune cell types in response to each of 86 cytokines in murine lymph nodes in vivo. A cytokine-centric view of the dictionary revealed that most cytokines induce highly cell-type-specific responses. For example, the inflammatory cytokine IL-1β induced distinct gene programs in almost every cell type. A cell-type-centric view identified both known and previously uncharacterized cytokine-induced polarization states in every immune cell type, such as a polyfunctional state of NK cells induced by IL-18. Based on the dictionary, we developed companion software, Immune Response Enrichment Analysis (IREA), for assessing immune cell polarization and cytokine activities in any transcriptomic data, and applied it to infer cytokine networks in tumors following immune checkpoint blockade therapy. Our dictionary generates new hypotheses for cytokine functions, illuminates pleiotropic effects of cytokines, expands our knowledge of activation states in each immune cell type, and provides a framework to deduce the roles of specific cytokines and cell-cell communication networks in any immune response.
 
Overall design We systematically profiled single-cell transcriptomic responses in vivo to 86 cytokines. The 86 cytokines were selected to represent most of the members in each major cytokine family, including: IL-1 (IL-1α/1β/Ra/18/33/36α/36Ra), common γ chain (IL-2/4/7/9/15/21), common β chain (GM-CSF/IL-3/IL-5), IL-6 (IL-6/11/27*/31, LIF, OSM, CT-1, NP), IL-12 (IL-12/23/27*/Y), IL-10 (IL-10/19/20/22/24), IL-17 (IL-17A-F), interferon (IFN-α1/β/ε/κ/γ/λ2), TNF (TNFSF1-15, 13B, 18), complement (C3a, C5a), and a small number of representative cytokines from other protein families with less well-characterized immune functions (e.g.,Persephins, Adiponectin). Carrier-free cytokines were freshly reconstituted and administered into distinct wild-type C57BL6/J mice (3 mice per cytokine as biological replicates). PBS (vehicle) treated samples were included in each batch as controls. Draining lymph nodes were collected 4 hours after treatment and freshly processed using an optimized protocol for viable cell recovery. Data quality, including batch-to-batch consistency, was experimentally strictly controlled for and computationally verified. Single-cell profiling of lymph node cells was performed Chromium Single Cell 3’ Library & Gel Bead v3 Kit (10x Genomics) to generate single-cell transcriptomes for 386,703 cells that passed quality control.
 
Contributor(s) Cui A, Huang T, Li S, Ma A, Perez JL, Sander C, Keskin DB, Wu CJ, Fraenkel E, Hacohen N
Citation(s) 38057668
Submission date May 04, 2022
Last update date Dec 31, 2023
Contact name Ang Cui
E-mail(s) angcui@broadinstitute.org
Organization name Broad Institute
Street address 415 Main St.
City Cambridge
State/province MA
ZIP/Postal code 02139
Country USA
 
Platforms (1)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
Samples (88)
GSM6102836 Cytokine hashed samples 01
GSM6102837 Cytokine hashed samples 02
GSM6102838 Cytokine hashed samples 03
Relations
BioProject PRJNA834959
SRA SRP373566

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE202186_RAW.tar 7.6 Gb (http)(custom) TAR (of MTX, TSV)
GSE202186_map-scRNAseq-cytokines-dictionary.xlsx 22.0 Kb (ftp)(http) XLSX
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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