Comparative Analysis of Host Responses Between Sepsis and COVID-19: A Prospective Observational Study of Whole Blood Transcriptome (RNA-Seq)

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1017417 and SRA study SRP460615. Searching any of these in the dataset finder brings you back here.

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 72 sample titles: 72 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

• GSM7780772 COV1 (RNA-seq)
• GSM7780773 COV6 (RNA-seq)
• GSM7780774 COV13 (RNA-seq)
• GSM7780775 COV27 (RNA-seq)
• GSM7780776 COV30 (RNA-seq)
• GSM7780777 COV33 (RNA-seq)
• GSM7780778 COV35 (RNA-seq)
• GSM7780779 COV38 (RNA-seq)
• GSM7780780 COV41 (RNA-seq)
• GSM7780781 COV43 (RNA-seq)
• GSM7780782 COV45 (RNA-seq)
• GSM7780783 COV50 (RNA-seq)
• GSM7780784 COV53 (RNA-seq)
• GSM7780785 COV57 (RNA-seq)
• GSM7780786 COV59 (RNA-seq)
• GSM7780787 COV62 (RNA-seq)
• GSM7780788 COV65 (RNA-seq)
• GSM7780789 COV68 (RNA-seq)
• GSM7780790 COV70 (RNA-seq)
• GSM7780791 COV72 (RNA-seq)
• GSM7780792 COV73 (RNA-seq)
• GSM7780793 COV75 (RNA-seq)
• GSM7780794 COV78 (RNA-seq)
• GSM7780795 COV81 (RNA-seq)
• GSM7780796 COV86 (RNA-seq)
• GSM7780797 COV87 (RNA-seq)
• GSM7780798 COV90 (RNA-seq)
• GSM7780799 COV97 (RNA-seq)
• GSM7780800 COV99 (RNA-seq)
• GSM7780801 COV102 (RNA-seq)
• GSM7780802 COV105 (RNA-seq)
• GSM7780803 COV108 (RNA-seq)
• GSM7780804 COV109 (RNA-seq)
• GSM7780805 COV111 (RNA-seq)
• GSM7780806 COV112 (RNA-seq)
• GSM7780807 P2 (RNA-seq)
• GSM7780808 P4 (RNA-seq)
• GSM7780809 P7 (RNA-seq)
• GSM7780810 P8 (RNA-seq)
• GSM7780811 P9 (RNA-seq)

+ 32 more — browse all 72 samples with per-sample file links →

• GSE243219 Comparative Analysis of Host Responses Between Sepsis and COVID-19: A Prospective Observational Study of Whole Blood Transcriptome 144 samples shares covid-19, observational, comparative, prospective, sepsis, whole, blood
• GSE179850 Gene expression analysis of whole blood obtained from COVID-19 in the Osaka cohort 47 samples shares covid-19, whole, blood
• GSE300696 Identification of reactive CpGs and RNA expression in early COVID-19 through cis-eQTM analysis reflecting disease severity and recovery [RNA-seq] 346 samples shares covid-19, rna-seq
• GSE281864 Detailed delineation of the immune response to COVID-19 mRNA vaccination via high-temporal frequency blood transcriptomics [third] 193 samples shares covid-19, blood
• GSE212861 Dynamics of gene expression profiling by RNA-Seq and identification of high-risk patients for severe COVID-19 [RNA-Seq] 93 samples shares covid-19, rna-seq
• GSE283746 Comparative Single-Cell Analyses in Infants Revealed RSV-Specific Declines in NK Cell Responses and COVID-19-Specific Increases in Inflammatory Responses [COVID_RSV_scRNA] 68 samples shares covid-19, comparative
• GSE210433 TET2 Mutant Clonal Hematopoiesis Enhances Severity of COVID-19 Related Cytokine Release Syndrome and is Associated with Increased Mortality [scRNA-seq] 34 samples shares covid-19, rna-seq
• GSE208342 Transcriptome and microbiome profile of nasopharyngeal samples among COVID-19 patients with different levels of severity revealed through RNA-seq analysis 20 samples shares covid-19, rna-seq

Search all human RNA-seq datasets in GEO →