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Series GSE248892 Query DataSets for GSE248892
Status Public on Apr 24, 2024
Title RNA-seq analysis of gene expression regulated by LSD1 in CD8+ T cells
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary In the RNA-seq analyses of in vitro activated and expanded CD8+ T cells, we found that GSK treatment significantly altered the transcriptome, with 241 genes upregulated and 426 genes downregulated respectively . Gene Ontology (GO) enrichment analysis revealed that the upregulated genes were highly enriched in biological processes related to cell killing and cytokine production.
 
Overall design Mouse CD8+ T cells were isolated from the spleens and lymph nodes of the mice using a biotin selection kitwith an EasySep™ Mouse CD8+ T Cell Isolation Kit according to the manufacturer’s manual. The CD8+ T cells were stimulated with 2 μg/ml plate-bound anti-CD3 (2μg/ml) and 2 μg/ml soluble anti-CD28 (2μg/ml) antibodies with the addition of 20 ng/mL hIL-2 at a density of 1 million/ml for 48 h. Activated CD8+ T cells were expanded with hIL2 in fresh medium for the indicated time before analysis. 0.5 μM GSK2879552 or vehicle control was added. Total RNA was extracted and used to poly(A)+ RNA enrichment by magnetic mRNA isolation kit for constructing library. The prepared libraries were sequenced at 150 bp from both ends.
Web link http://10.1038/s41467-024-48607-4
 
Contributor(s) Qiu F, Sheng W
Citation(s) 38773088
Submission date Nov 29, 2023
Last update date May 27, 2024
Contact name Wanqiang Sheng
E-mail(s) nussheng@gmail.com
Organization name Zhejiang University School of Medicine
Department Department of Immunology
Lab The Sheng Lab
Street address 866 Yuhangtang Road
City Hangzhou
State/province Zhejiang
ZIP/Postal code 310058
Country China
 
Platforms (1)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
Samples (6)
GSM7921794 CD8_Veh_rep1
GSM7921795 CD8_Veh_rep2
GSM7921796 CD8_Veh_rep3
Relations
BioProject PRJNA1046395

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Supplementary file Size Download File type/resource
GSE248892_counts_anno.txt.gz 2.4 Mb (ftp)(http) TXT
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Raw data are available in SRA

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