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Series GSE158056 Query DataSets for GSE158056
Status Public on Dec 01, 2020
Title Knockout of immunotherapy prognostic marker genes eliminates the effect of the anti-PD-1 treatment
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary We present a pan-cancer integrated analysis of transcriptome, exome and clinical records of patients. Herein, we identified candidate genes as potential biomarkers to predict clinical outcome of immunotherapy. We further explored the function of two IPM genes in vivo. Knockout of MALT1, which is critical for the T cell receptor signaling, can eliminate the anti-tumor effect of anti-PD-1 treatment completely by impairing the activation of CD8+ T cells. Notably, knockout of CLEC4D, a C-type lectin receptor that expressed on myeloid cells, also reduced the effect of anti-PD-1 treatment potentially through maintaining the immunosuppressive effects of myeloid cells.
 
Overall design Macrophages and MDSCs cells sorted from wild type (WT) or Clec4d KO mice with anti-PD-1 or IgG treatment were used for RNA extraction and RNA-sequencing
 
Contributor(s) Yang N, Ji F, Cheng L
Citation(s) 33963274
Submission date Sep 16, 2020
Last update date May 19, 2021
Contact name Liqing Cheng
Organization name Tsinghua university
Department school of medicine
Lab Linxin lab
Street address Tsinghua University,Hai Dian, Beijing
City Beijing
State/province Beijing
ZIP/Postal code 100084
Country China
 
Platforms (1)
GPL21273 HiSeq X Ten (Mus musculus)
Samples (19)
GSM4787576 WT mice received IgG treament rep1
GSM4787577 WT mice received IgG treament rep2
GSM4787578 WT mice received IgG treament rep3
Relations
BioProject PRJNA663863
SRA SRP282597

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
GSE158056_RAW.tar 2.4 Mb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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