Susceptibility and Transcriptional Characteristics of C57BL/6 and ICR Mouse Strains in CDAHFD-Induced NASH Models
RNA-seq (gene expression) · mouse · 12 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
- Mus musculus (mouse)
- Samples
- 12 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
- Susceptibility and transcriptional characteristics of inbred C57BL/6J and outbred ICR mice in CDAHFD-induced MASH modelsLaboratory animal research · 2026
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 GSE278017_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 PRJNA1138518 and SRA study SRP525216. 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.
+ 12 more — browse all 12 samples with per-sample file links →
- GSE342137 Comparison of NK cell transcriptomes between C57BL6 and NOD mouse strains 8 samples shares c57bl, strains
- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares icr
- GSE300113 Heterogenous microglial reactivity contrasts with stable vascular transcriptional programs in mouse models of Alzheimer’s, CADASIL, and Traumatic Brain Injury (Main dataset) 59 samples shares icr
- GSE322803 Gut Microbiota Dysbiosis Remodels the Multi-Tissue Transcriptional Landscape of the Host 54 samples shares icr
- GSE252343 Hofbauer cells and fetal brain microglia share transcriptional profiles and responses to maternal diet-induced obesity 34 samples shares icr
- GSE288261 A Novel Microglia-Specific Transcriptional Signatures Correlates with Behavioural Deficits in Neuropsychiatric Lupus (NP-SLE) 28 samples shares icr
- GSE302019 Bulk RNA sequencing to investigate transcriptional profiles of lung macrophage subpopulations isolated from wild-type C57BL/6J and Spp1-EGFP knock-in reporter mice subjected to intratracheal administration of bleomycin or PBS. 24 samples shares c57bl
- GSE98969 Single cell RNA-seq identifies a unique microglia type associated with Alzheimer’s disease [RNA] 97 samples shares icr
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.