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Series GSE190795 Query DataSets for GSE190795
Status Public on Jan 31, 2022
Title IL-9 is required for multi-cytokine producing tissue-resident memory CD4+ T cell-dependent allergic airway recall responses
Organism Mus musculus
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Expression profiling by high throughput sequencing
Summary Asthma is a chronic inflammatory lung disease with intermittent flares predominately mediated through memory T cells. Yet, the identity of long-term memory cells that mediate allergic recall responses are not well defined. In this report, using a mouse model of chronic allergen exposure followed by an allergen-free rest period, we have characterized a sub-population of Th2 cells that secretes IL-9 as an obligate effector cytokine. IL-9-secreting cells have a resident memory T cell phenotype and blocking IL-9 during a recall challenge significantly diminishes airway inflammation and airway hyperreactivity. T cells secrete IL-9 in response to allergen recall and secretion is amplified by IL-33. Using scRNA-seq and scATAC-seq, we define the cellular identity of a distinct populations of T cells with pro-allergic cytokine patterns. Thus, in a recall model of allergic airway inflammation, IL-9 secretion from a multi-cytokine producing cell population is required for an allergen recall response.
 
Overall design 1. To compare transcriptional profile of ST2+CD4 T cells and ST2- CD4 T cells in the lung, ST2+ and ST2- CD4 T cells were isolated from the lung in a recall model and pooled together to generate replicates of ST2+ CD4 T cells and ST2- CD4 T cells, with a total of 4 samples for scRNA-seq and snATAC-seq analysis. 2. To examine to the function of IL-9 in allergic recall response, single suspension of total viable cells from the lung were generated from the mice that were treated with anti-IL-9 or isotype (100 μg/ml) during the recall challenge. For this experiment three replicates of total lung cells after anti-IL-9 or isotype treatment were used for scRNA-seq analysis.
 
Contributor(s) Kaplan MH, Ulrich BJ, Kharwadkar R, Gao H
Citation(s) 35302861
Submission date Dec 13, 2021
Last update date May 02, 2022
Contact name Rakshin Kharwadkar
E-mail(s) rkharwad@iu.edu
Organization name Indiana University School of Medicine
Department Microbiology and Immunology
Street address 635 Branhill Dr., 418 MS building
City Indianapolis
State/province Indiana
ZIP/Postal code 46202
Country USA
 
Platforms (1)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
Samples (14)
GSM5732083 ST2_pos_1_scRNA-seq
GSM5732084 ST2_pos_2_scRNA-seq
GSM5732085 ST2_neg_1_scRNA-seq
Relations
BioProject PRJNA788490
SRA SRP350543

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
GSE190795_RAW.tar 5.9 Gb (http)(custom) TAR (of CSV, H5, TBI, TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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