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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
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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.
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Overall design |
Comparison of transcriptional activity over time among COVID-19 patients with varying disease severity. Total RNA was obtained from whole blood samples.
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Contributor(s) |
Lam M, Duttke SH, Benner CW, Coufal NG |
Citation(s) |
36758547 |
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Submission date |
Dec 15, 2022 |
Last update date |
Jun 05, 2023 |
Contact name |
Max Chang |
E-mail(s) |
mchang@ucsd.edu
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Organization name |
University of California, San Diego
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Street address |
9500 Gilman Drive
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City |
La Jolla |
State/province |
CA |
ZIP/Postal code |
92093 |
Country |
USA |
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Platforms (1) |
GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
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Samples (55)
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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 |
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Relations |
BioProject |
PRJNA912697 |