Understaning mechanisms underlying human gene expression variation with RNA sequencing
RNA-seq (gene expression) · human · 161 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
- 161 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.
Read the full summary ↓
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 GSE19480_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 PRJNA122271 and SRA study SRP001540. 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.
+ 161 more — browse all 161 samples with per-sample file links →
- GSE289173 Single-cell eQTL analysis identifies genetic variation underlying metabolic dysfunction-associated steatohepatitis 48 samples shares underlying, variation
- GSE316337 Multi-omics profiling reveals microbiota, metabolite, lipid, and immunological heterogeneity underlying distinct pathophysiological mechanisms of age-related endotypes in type 1 diabetes 54 samples shares underlying
- GSE295224 Dual single-cell and bulk RNA sequencing reveal transcriptional profiles underlying heterogenous host-parasite interactions in human peripheral blood mononuclear cells 42 samples shares underlying
- GSE303049 Investigating Cycle-to-Cycle Variation and the Impact of Endometrial Injury through Differential Gene Expression Analysis 40 samples shares variation
- GSE254315 Single-cell transcriptome analysis reveals the molecular mechanisms underlying age-related changes in human testis 25 samples shares underlying
- GSE290040 single-cell spatial analysis reveals molecular mechanisms underlying immune cell organization and cancer cell heterogeneity in HPV-associated oropharyngeal carcinoma 15 samples shares underlying
- GSE164055 Mapping origins of variation in neural trajectories of human pluripotent stem cells 101 samples shares variation
- GSE289466 Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer [RNA-seq] 98 samples shares underlying
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.