Gene expression analysis of whole blood obtained from COVID-19 in the Osaka cohort
RNA-seq (gene expression) · human · 47 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 47 samples
- 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.
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 GSE179850_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.
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 PRJNA745333 and SRA study SRP327793. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 47 more — browse all 47 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, whole, blood
- GSE98793 Gene expression analysis in whole blood samples obtained from donors diagnosed with MDD compared to healthy controls 192 samples shares obtained, whole, blood
- GSE207625 RNA Sequencing Analysis of Peripheral Blood Mononuclear Cells Associated with COVID-19 Deterioration 12 samples shares covid-19, blood
- GSE288704 Whole transcriptome analysis of unmutated sporadic ALS patients’ peripheral blood reveals phenotype-specific gene expression signature 66 samples shares whole, blood
- GSE282769 Remodeling of the chromatin landscape in peripheral blood cells in patients with severe Delta COVID-19 39 samples shares covid-19, blood
- GSE215274 Identification of Whole Blood Gene Expression Signature to Predict the Therapeutic Effect of Nintedanib in Idiopathic Pulmonary Fibrosis 177 samples shares whole, blood
- GSE310095 Whole Blood Transcriptomics Differentiates Circulating Gene Expression Between Coronary Artery Disease and Peripheral Artery Disease 71 samples shares whole, blood
- GSE288604 Whole blood transcriptomics characterize molecular phenotypes of pulmonary Mycobacterium avium complex disease 200 samples shares whole, blood
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.