AI digital pathology as a key tool providing in-depth understanding of the progression and regression of MASH and fibrosis in male mouse models
RNA-seq (gene expression) · mouse · 77 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
- 77 samples: 10 conditions, mostly with about 8 replicates eachGroups 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.
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 GSE316023_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 PRJNA1400485 and SRA study SRP660982. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 77 samples.
How we read this: 10 replicated groups read from 77 sample titles; they account for 77 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.
- GSM9443395 SD_wk12_A_R1 SD_wk12_A
- GSM9443396 SD_wk12_A_R2 SD_wk12_A
- GSM9443397 SD_wk12_A_R3 SD_wk12_A
- GSM9443398 SD_wk12_A_R4 SD_wk12_A
- GSM9443399 SD_wk12_A_R5 SD_wk12_A
- GSM9443400 SD_wk12_A_R6 SD_wk12_A
- GSM9443401 SD_wk12_A_R7 SD_wk12_A
- GSM9443402 SD_wk12_A_R8 SD_wk12_A
- GSM9443403 SD_wk12_B_R1 SD_wk12_B
- GSM9443404 SD_wk12_B_R2 SD_wk12_B
- GSM9443405 SD_wk12_B_R3 SD_wk12_B
- GSM9443406 SD_wk12_B_R4 SD_wk12_B
- GSM9443407 SD_wk12_B_R5 SD_wk12_B
- GSM9443408 SD_wk12_B_R6 SD_wk12_B
- GSM9443409 SD_wk12_B_R7 SD_wk12_B
- GSM9443410 SD_wk12_B_R8 SD_wk12_B
- GSM9443411 SD_wk16_A_R1 SD_wk16_A
- GSM9443412 SD_wk16_A_R2 SD_wk16_A
- GSM9443413 SD_wk16_A_R3 SD_wk16_A
- GSM9443414 SD_wk16_A_R4 SD_wk16_A
- GSM9443415 SD_wk16_A_R5 SD_wk16_A
- GSM9443416 SD_wk16_A_R6 SD_wk16_A
- GSM9443417 SD_wk16_A_R7 SD_wk16_A
- GSM9443418 SD_wk16_A_R8 SD_wk16_A
- GSM9443419 SD_wk16_B_R1 SD_wk16_B
- GSM9443420 SD_wk16_B_R2 SD_wk16_B
- GSM9443421 SD_wk16_B_R3 SD_wk16_B
- GSM9443422 SD_wk16_B_R4 SD_wk16_B
- GSM9443423 SD_wk16_B_R5 SD_wk16_B
- GSM9443424 SD_wk16_B_R6 SD_wk16_B
- GSM9443425 SD_wk16_B_R7 SD_wk16_B
- GSM9443426 SD_wk16_B_R8 SD_wk16_B
- GSM9443427 SD_wk23_A_R1 SD_wk23_A
- GSM9443428 SD_wk23_A_R2 SD_wk23_A
- GSM9443429 SD_wk23_A_R3 SD_wk23_A
- GSM9443430 SD_wk23_A_R4 SD_wk23_A
- GSM9443431 SD_wk23_A_R5 SD_wk23_A
- GSM9443432 SD_wk23_A_R6 SD_wk23_A
- GSM9443433 SD_wk23_A_R7 SD_wk23_A
- GSM9443434 SD_wk23_A_R8 SD_wk23_A
+ 37 more — browse all 77 samples with per-sample file links →
- GSE295293 Single-cell fixed RNAseq of liver fibrosis progression and regression 9 samples shares progression, regression, fibrosis
- GSE279351 Liver-specific inactivation of Cideb improves metabolic profiles and ameliorates steatohepatitis and fibrosis in animal models for MASH 45 samples shares mash, fibrosis
- GSE290235 Fibrogenic gene signature as early prediction for the efficacy of pharmacological interventions for MASH-associated fibrosis, part1 32 samples shares mash, fibrosis
- GSE264250 MASH fibrosis mouse model for circadian analyses of HSC 22 samples shares mash, fibrosis
- GSE220691 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI. 22 samples shares progression, regression
- GSE179812 Macrophage Heterogeneity in Progression and Regression Phases of Cisplatin Induced AKI Mice Model - A single-cell RNA sequencing study 17 samples shares progression, regression
- GSE220675 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI [scRNA-seq] 11 samples shares progression, regression
- GSE309251 Western diet-induced MASH in PWK/PhJ mice identifies disruptions in amino acid and sphingolipid metabolism contributing to cardiac dysfunction 347 samples shares mash
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.