Inter-organ transmission of hepatocellular senescence induces multi-organ dysfunction through the TGFβ signalling pathway.
RNA-seq (gene expression) · mouse · 20 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
- 20 samples: 20 samples, each with a distinct title — no replicated groupsGroups 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.
- Paper
- Hepatocellular senescence induces multi-organ senescence and dysfunction via TGFβNature cell biology · 2024
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 GSE262705_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 PRJNA1093039 and SRA study SRP498498. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 20 sample titles: 20 distinct titles with little repetition. 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.
- GSM8174040 S01 Kras WT d7 Male AAV-Null on Kras HET genotype Liver
- GSM8174041 S02 Kras WT d7 Male AAV-Null on Kras HET genotype Liver
- GSM8174042 S03 Kras WT d7 Male AAV-Null on Kras HET genotype Liver
- GSM8174043 S04 Kras WT d7 Female AAV-Null on Kras HET genotype Liver
- GSM8174044 S05 Kras WT d7 Male AAV-Null on Kras HET genotype Liver
- GSM8174045 S06 Kras G12D d7 Male AAV-Cre on Kras HET genotype Liver
- GSM8174046 S07 Kras G12D d7 Male AAV-Cre on Kras HET genotype Liver
- GSM8174047 S08 Kras G12D d7 Male AAV-Cre on Kras HET genotype Liver
- GSM8174048 S09 Kras G12D d7 Female AAV-Cre on Kras HET genotype Liver
- GSM8174049 S10 Kras G12D d7 Female AAV-Cre on Kras HET genotype Liver
- GSM8174050 S11 Kras WT d7 Male AAV-Null on Kras HET genotype Kidney
- GSM8174051 S12 Kras WT d7 Male AAV-Null on Kras HET genotype Kidney
- GSM8174052 S13 Kras WT d7 Male AAV-Null on Kras HET genotype Kidney
- GSM8174053 S14 Kras WT d7 Female AAV-Null on Kras HET genotype Kidney
- GSM8174054 S15 Kras WT d7 Male AAV-Null on Kras HET genotype Kidney
- GSM8174055 S16 Kras G12D d7 Male AAV-Cre on Kras HET genotype Kidney
- GSM8174056 S17 Kras G12D d7 Male AAV-Cre on Kras HET genotype Kidney
- GSM8174057 S18 Kras G12D d7 Male AAV-Cre on Kras HET genotype Kidney
- GSM8174058 S19 Kras G12D d7 Female AAV-Cre on Kras HET genotype Kidney
- GSM8174059 S20 Kras G12D d7 Female AAV-Cre on Kras HET genotype Kidney
- GSE267196 Inter-organ transmission of hepatocellular senescence induces multi-organ dysfunction through the TGFbeta signalling pathway 20 samples shares tgf, hepatocellular, transmission, inter-organ, multi-organ, dysfunction, senescence, induces
- GSE241180 Fibroblast-specific TGF-b signaling mediates dysfunction, fibrosis and hypertrophy in a mouse model of obesity-associated type 2 diabetes 27 samples shares tgf, dysfunction
- GSE241176 Fibroblast-specific TGF-b signaling mediates dysfunction, fibrosis and hypertrophy in a mouse model of obesity-associated type 2 diabetes [RNA-seq: Smad3 in dbdb] 12 samples shares tgf, dysfunction
- GSE241365 Oncogenic Calreticulin Induces Immune Escape by Stimulating TGF-β Expression and Regulatory T Cell Expansion in the Bone Marrow Microenvironment 12 samples shares tgf, induces
- GSE291163 Testing the contribution of FGL1 to the pathogenesis of metabolic dysfunction-associated steatotic liver disease and hepatocellular carcinoma 16 samples shares hepatocellular, dysfunction
- GSE270414 Precision targeting of beta-catenin induces tumor reprogramming and immunity in hepatocellular cancers [Bulk RNA-seq CTNNB1/hMet/NFE2L2] 13 samples shares hepatocellular, induces
- GSE246213 A Mouse Model for Metabolic Dysfunction-associated Steatotic Liver Disease and Hepatocellular Carcinoma [ATAC-seq] 12 samples shares hepatocellular, dysfunction
- GSE75111 Single-cell transcriptional profiling of Th17 cells, differentiated in vitro for 48h [TGFB1_IL6-48h-IL-17A/GFP+] 151 samples shares tgf
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.