TRANSCRIPTOMIC PROFILING ACROSS THE SPECTRUM OF NON-ALCOHOLIC FATTY LIVER DISEASE
RNA-seq (gene expression) · human · 216 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
- 216 samples: 206 × Liver patient vs 10 × Liver control sampleGroups 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.
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 GSE135251_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 PRJNA558102 and SRA study SRP217231. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 206 samples read as cases, 10 as controls.
How we read this: 2 replicated groups read from 216 sample titles; they account for 216 of them. 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.
- GSM3998167 Liver patient 97 Liver patient
- GSM3998168 Liver patient 98 Liver patient
- GSM3998169 Liver patient 101 Liver patient
- GSM3998170 Liver patient 102 Liver patient
- GSM3998171 Liver patient 105 Liver patient
- GSM3998172 Liver patient 106 Liver patient
- GSM3998173 Liver patient 108 Liver patient
- GSM3998174 Liver patient 110 Liver patient
- GSM3998175 Liver patient 112 Liver patient
- GSM3998176 Liver patient 114 Liver patient
- GSM3998177 Liver patient 115 Liver patient
- GSM3998178 Liver patient 116 Liver patient
- GSM3998179 Liver patient 117 Liver patient
- GSM3998180 Liver patient 118 Liver patient
- GSM3998181 Liver patient 119 Liver patient
- GSM3998182 Liver patient 120 Liver patient
- GSM3998183 Liver patient 6 Liver patient
- GSM3998184 Liver patient 7 Liver patient
- GSM3998185 Liver patient 8 Liver patient
- GSM3998186 Liver patient 9 Liver patient
- GSM3998187 Liver patient 12 Liver patient
- GSM3998188 Liver patient 14 Liver patient
- GSM3998189 Liver patient 15 Liver patient
- GSM3998190 Liver patient 10 Liver patient
- GSM3998191 Liver patient 78 Liver patient
- GSM3998192 Liver patient 83 Liver patient
- GSM3998193 Liver patient 71 Liver patient
- GSM3998194 Liver patient 84 Liver patient
- GSM3998195 Liver patient 2 Liver patient
- GSM3998196 Liver patient 3 Liver patient
- GSM3998197 Liver patient 203 Liver patient
- GSM3998198 Liver patient 205 Liver patient
- GSM3998199 Liver patient 166 Liver patient
- GSM3998200 Liver patient 167 Liver patient
- GSM3998201 Liver patient 168 Liver patient
- GSM3998202 Liver patient 169 Liver patient
- GSM3998203 Liver patient 170 Liver patient
- GSM3998204 Liver patient 171 Liver patient
- GSM3998205 Liver patient 172 Liver patient
- GSM3998206 Liver patient 173 Liver patient
+ 176 more — browse all 216 samples with per-sample file links →
- GSE202379 Single Nuclei RNA-Seq to map progression of non-alcoholic fatty liver disease (NAFLD) in patients II 59 samples shares disease, fatty, liver, non-alcoholic
- GSE130970 Gene expression predicts histological severity and reveals distinct molecular profiles of nonalcoholic fatty liver disease 78 samples shares disease, fatty, liver
- GSE260666 Differential analysis of gene expression in liver tissues of patients with nonalcoholic fatty liver disease and controls. 16 samples shares disease, fatty, liver
- GSE303271 RNA-seq of liver biopsies from patients with pediatric autoimmune liver disease 64 samples shares disease, liver
- GSE210077 Single nuclei RNA-sequencing of normal and diseased liver 40 samples shares disease, liver
- GSE228033 A single-cell atlas revealing cellular heterogeneity across healthy and diseased human thymus 10 samples shares disease, across
- GSE244832 Multi-Modal Comparison of human Hepatic Stellate Cells identifies novel therapeutic targets for Metabolic Dysfunction-Associated Steatotic Liver Disease 36 samples shares disease, liver
- GSE334503 Mapping immune cellular landscapes and vaccine responses across a spectrum of health and immunodeficiency [CITE-seq] 10 samples shares spectrum, across
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.