Comparative Analysis of Host Responses Between Sepsis and COVID-19: A Prospective Observational Study of Whole Blood Transcriptome
Non-coding RNA profiling · human · 144 samples
- What it is
- Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
- Organism
- Homo sapiens (human)
- Samples
- 144 samples: 144 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Bacterial sepsis causes more dramatic pathogenetic changes in the Th1 pathway than does viral (COVID-19) sepsis: a prospective observational study of whole blood transcriptomesVirology journal · 2024
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.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE243219_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
Also filed as BioProject PRJNA1017415 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 144 sample titles: 144 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)
+ 104 more — browse all 144 samples with per-sample file links →
- GSE243217 Comparative Analysis of Host Responses Between Sepsis and COVID-19: A Prospective Observational Study of Whole Blood Transcriptome (RNA-Seq) 72 samples shares covid-19, observational, comparative, prospective, sepsis, whole, blood, host
- GSE179850 Gene expression analysis of whole blood obtained from COVID-19 in the Osaka cohort 47 samples shares covid-19, whole, blood
- 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
- 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
- GSE282769 Remodeling of the chromatin landscape in peripheral blood cells in patients with severe Delta COVID-19 39 samples shares covid-19, blood
- GSE207625 RNA Sequencing Analysis of Peripheral Blood Mononuclear Cells Associated with COVID-19 Deterioration 12 samples shares covid-19, blood
- GSE79362 A blood RNA signature for tuberculosis disease risk: a prospective cohort study 355 samples shares prospective, blood
- GSE228842 COVID-19 vaccination is associated with attenuation of inflammatory responses during breakthrough disease 399 samples shares covid-19
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.