Clinical and molecular characterization of steatotic liver disease in the setting of immune-mediated inflammatory diseases
RNA-seq (gene expression) · human · 109 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
- 109 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.
- Paper
- Clinical and molecular characterization of steatotic liver disease in the setting of immune-mediated inflammatory diseasesJHEP reports : innovation in hepatology · 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 GSE268273_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 PRJNA1116068 and SRA study SRP509784. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run Sample 1 … Sample 109 and carry no group information.
- GSM8288976 Sample 1
- GSM8288977 Sample 2
- GSM8288978 Sample 3
- GSM8288979 Sample 4
- GSM8288980 Sample 5
- GSM8288981 Sample 6
- GSM8288982 Sample 7
- GSM8288983 Sample 8
- GSM8288984 Sample 9
- GSM8288985 Sample 10
- GSM8288986 Sample 11
- GSM8288987 Sample 12
- GSM8288988 Sample 13
- GSM8288989 Sample 14
- GSM8288990 Sample 15
- GSM8288991 Sample 16
- GSM8288992 Sample 17
- GSM8288993 Sample 18
- GSM8288994 Sample 19
- GSM8288995 Sample 20
- GSM8288996 Sample 21
- GSM8288997 Sample 22
- GSM8288998 Sample 23
- GSM8288999 Sample 24
- GSM8289000 Sample 25
- GSM8289001 Sample 26
- GSM8289002 Sample 27
- GSM8289003 Sample 28
- GSM8289004 Sample 29
- GSM8289005 Sample 30
- GSM8289006 Sample 31
- GSM8289007 Sample 32
- GSM8289008 Sample 33
- GSM8289009 Sample 34
- GSM8289010 Sample 35
- GSM8289011 Sample 36
- GSM8289012 Sample 37
- GSM8289013 Sample 38
- GSM8289014 Sample 39
- GSM8289015 Sample 40
+ 69 more — browse all 109 samples with per-sample file links →
- GSE281797 Transcriptomic profiles of liver biopsies in obese patients with metabolic dysfunction-associated steatotic liver disease 94 samples shares steatotic, liver
- GSE263733 Single-cell transcriptome analysis reveals subtype-specific clonal evolution and microenvironmental changes in liver metastasis of pancreatic adenocarcinoma and their clinical implications 218 samples shares clinical, liver
- GSE244832 Multi-Modal Comparison of human Hepatic Stellate Cells identifies novel therapeutic targets for Metabolic Dysfunction-Associated Steatotic Liver Disease 36 samples shares steatotic, liver
- GSE269929 Single nucleus RNA-sequencing integrated into risk variant colocalization discovers 17 cell-type-specific abdominal obesity genes for metabolic dysfunction-associated steatotic liver disease [ATAC-seq] 24 samples shares steatotic, liver
- GSE338964 Computational modeling and preclinical evaluation support targeting somatic instability for Huntington’s disease treatment. 104 samples shares clinical
- GSE327577 Faecalibacterium prausnitzii EXL01 for the Maintenance of Steroid-induced Clinical Response or Remission in Patients with Crohn’s Disease: a first in human trial 43 samples shares clinical
- GSE338165 Single-cell analysis identifies monocyte signatures of disease activity and clinical subtypes in Behçet’s disease 22 samples shares clinical
- GSE263206 Trancriptome analysis of tumor tissue to search for the associations between USP8 mutation status, molecular markers of pituitary adenomas, and clinical, and diagnostic parametres of Cushing disease 16 samples shares clinical
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.