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Series GSE198963 Query DataSets for GSE198963
Status Public on Oct 06, 2023
Title The gene expression profile of CD4 T-cells with STAT3 gain-of-function and loss-of-function mutations
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Purpose: Recently discovered activating Interleukin-6 receptor subunit beta (IL6ST, encoding glycoprotein 130 (gp130)) mutations, as well as germline Signal transducer and activator of transcription 3 (STAT3) gain-of-function mutations are associated with multi-organ autoimmunity, severe morbidity, and adverse prognosis, resulting in an unmet medical need.
Methods: To decipher the crucial cellular subsets and disease biology associated with STAT3 gain-of-function mutations, we examined the gene expression profile of STAT3 gain-of-function and loss-of-function mutations in unstimulated, IL10- or IL21-stimulated CD4 T cells and compared them to healthy donor cells.
Results: Activating gp130 signaling in vivo resulted in fatal early-onset multi-organ autoimmunity, resembling numerous clinical features of human STAT3 gain-of-function disease. We observed strong T-cell activation and effector differentiation, accompanied by TH17 expansion and interferon-gamma production. Transcriptome profiling of murine CD4+ and CD8+ T-cells revealed commonly dysregulated genes and a STAT3 gain-of-function signature that was used to discriminate between STAT3 gain-of-function and healthy control patients.
Conclusions: Hyperactive gp130/STAT3 signaling leads to strong TH17-mediated autoimmunity phenotypically resembling human STAT3 gain-of-function disease and identify TH17-cells as a key cellular subset for initiation and maintenance of autoimmunity
 
Overall design gene expression profile of STAT3 gain-of-function and loss-of-function mutations in unstimulated, IL10- or IL21-stimulated CD4 T cells and compared them to healthy donor cells.
 
Contributor(s) Faletti L, Baumgartner F, Bamopoulos SA, Ramamoorthy S, Ehl S
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Submission date Mar 18, 2022
Last update date Oct 07, 2023
Contact name Senthilkumar Ramamoorthy
E-mail(s) senthilkumar.ramamoorthy@uniklinik-freiburg.de
Phone +49 761 270-46 670
Organization name UNIVERSITAETSKLINIKUM FREIBURG
Street address Mathildenstraße 1
City Freiburg
ZIP/Postal code 79106
Country Germany
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (29)
GSM5961750 ControlS_Unst
GSM5961751 ControlS_IL21
GSM5961752 ControlS_IL10
Relations
BioProject PRJNA817580

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
GSE198963_RAW.tar 85.7 Mb (http)(custom) TAR (of TXT)
GSE198963_cd4_Hs_normalized_cpm.txt.gz 3.5 Mb (ftp)(http) TXT
GSE198963_cd4_Hs_raw_count.txt.gz 6.1 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file
Processed data are available on Series record

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