Resmetirom ameliorates fibrogenesis in hepatic stellate cells via thyroid hormone receptor alpha-fatty-acid amide hydrolase 1 signaling pathway
RNA-seq (gene expression) · human · 8 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
- 8 samples: 4 × HSC_TGFB vs 4 × HSC_TGFB_ResGroups 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 GSE334408_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 PRJNA1474964 and SRA study SRP706898. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 8 samples.
How we read this: 2 replicated groups read from 8 sample titles; they account for 8 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.
- GSM9788195 HSC_TGFB_rep1 HSC_TGFB
- GSM9788196 HSC_TGFB_rep2 HSC_TGFB
- GSM9788197 HSC_TGFB_rep3 HSC_TGFB
- GSM9788198 HSC_TGFB_rep4 HSC_TGFB
- GSM9788199 HSC_TGFB_Res_rep1 HSC_TGFB_Res
- GSM9788200 HSC_TGFB_Res_rep2 HSC_TGFB_Res
- GSM9788201 HSC_TGFB_Res_rep3 HSC_TGFB_Res
- GSM9788202 HSC_TGFB_Res_rep4 HSC_TGFB_Res
- GSE38103 A master cistromic circuit governing hepatic fibrogenesis [ChIP-seq] 9 samples shares fibrogenesis, hepatic
- GSE316614 Targeting mutation-agnostic disease pathways ameliorates ciliopathy-related mesenchymal drift in RPE 69 samples shares ameliorates
- GSE313774 A Microphysiological Model of Human MASLD Reveals Paradoxical Response to Resmetirom 33 samples shares resmetirom
- GSE297984 Chemical reprogramming ameliorates cellular hallmarks of aging and extends lifespan 24 samples shares ameliorates
- GSE266113 Cannabidiol ameliorates mitochondrial disease via PPARg activation 24 samples shares ameliorates
- GSE254537 Inhibition of CXCL10 and IFN-γ ameliorates myocarditis in preclinical models of SARS-CoV- 2 mRNA vaccination 24 samples shares ameliorates
- GSE239381 Beta cell-specific PAK1 enrichment ameliorates diet-induced glucose intolerance by promoting insulin biogenesis and minimizing beta cell apoptosis [RNA-Seq] 20 samples shares ameliorates
- GSE291883 Self-regulating gene therapy ameliorates phenotypes and overcomes gene dosage sensitivity in a mouse model of Rett syndrome 18 samples shares ameliorates
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.