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Series GSE221066 Query DataSets for GSE221066
Status Public on Mar 02, 2023
Title Dynamic Activity in cis-Regulatory Elements of Leukocytes Identifies Transcription Factor Activation and Stratifies COVID-19 Severity in ICU Patients [RNA-seq]
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary The transcription factors programs mediating the immune response to COVID-19 and disease outcomes are not fully understood. Capturing active transcription initiation from cis-regulatory elements such as enhancers and promoters by capped-small (cs)RNA-seq, in contrast to capturing the steady-state transcripts by conventional RNA-seq, allows unbiased identification of the underlying transcription factors activity and regulatory pathways. Here, we profile the acute changes in transcription initiation in peripheral leukocytes from critically ill COVID-19 patients, thereby identifying transcription factor (TF) motifs that track the severity of COVID19-associated lung injury, disease resolution, and outcome. Unbiased clustering reveals distinct subsets of cis-regulatory elements that delineate the regulation of specific pathways, cell types, and the combinatorial activity of transcription factors. We find evidence of critical roles for regulatory networks driven by signal-dependent and lineage determining transcription factors, showing that STAT/BCL6 and E2F/MYB regulatory programs from myeloid cell populations are activated in patients with poor disease outcomes and associated with single nucleotide genetic variants implicated in COVID-19 susceptibility. More broadly, we demonstrate how capturing acute, disease-mediated changes in transcription initiation can provide insight into the underlying molecular mechanisms and stratify patient disease severity.
 
Overall design Comparison of transcriptional activity over time among COVID-19 patients with varying disease severity. Total RNA was obtained from whole blood samples.
 
Contributor(s) Lam M, Duttke SH, Benner CW, Coufal NG
Citation(s) 36758547
Submission date Dec 15, 2022
Last update date Jun 05, 2023
Contact name Max Chang
E-mail(s) mchang@ucsd.edu
Organization name University of California, San Diego
Street address 9500 Gilman Drive
City La Jolla
State/province CA
ZIP/Postal code 92093
Country USA
 
Platforms (1)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (55)
GSM6841498 SD01_D1_RNA
GSM6841499 SD01_D11_RNA
GSM6841500 SD01_D3_RNA
This SubSeries is part of SuperSeries:
GSE221067 Dynamic Activity in cis-Regulatory Elements of Leukocytes Identifies Transcription Factor Activation and Stratifies COVID-19 Severity in ICU Patients
Relations
BioProject PRJNA912697

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
GSE221066_count_gene.txt.gz 1.4 Mb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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