FGF1-FGFR2 axis regulated by nuclear receptor RORγ represents an effective strategy in intrahepatic cholangiocarcinoma
RNA-seq (gene expression) · human · 2 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)
- Topic
- CholangiocarcinomaThis series is part of our curated briefing on it.
- Samples
- 2 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
- FGF1-FGFR2 axis regulated by nuclear receptor RORγ represents an effective strategy in intrahepatic cholangiocarcinomaCell death discovery · 2025
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 GSE306923_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 PRJNA1313933 and SRA study SRP616194. 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.
+ 2 more — browse all 2 samples with per-sample file links →
- GSE280797 Screening and molecular mechanism research on bile microRNAs associated with chemotherapy efficacy in perihilar cholangiocarcinoma 8 samples same disease briefing · shares ror, cholangiocarcinoma
- GSE274024 NOX4/NOX1 dual inhibition in cholangiocarcinoma as an effective approach to target TGF-beta protumorigenic actions in cancer associated fibroblasts 45 samples same disease briefing · shares cholangiocarcinoma, effective
- GSE320081 Molecular and cellular consequences of tumor-autonomous IL-6 signaling in intrahepatic cholangiocarcinoma 36 samples same disease briefing · shares cholangiocarcinoma, intrahepatic
- GSE235891 Identification of RNF213 as a potential suppressor of local invasion in intrahepatic cholangiocarcinoma 18 samples same disease briefing · shares cholangiocarcinoma, intrahepatic
- GSE316921 Effects of SLC2A1 knockdown in intrahepatic cholangiocarcinoma (ICC) cancer-associated fibroblasts (CAFs) on endothelial sprouting under normal and hypoxic conditions 12 samples same disease briefing · shares cholangiocarcinoma, intrahepatic
- GSE231839 Mutant IDH1 activates JOSD2-YAP/TAZ in a non-classical manner to sustain intrahepatic cholangiocarcinoma cell growth 9 samples same disease briefing · shares cholangiocarcinoma, intrahepatic
- GSE273905 Targeting Cancer Associated Fibroblasts/Tumor Cells Cross-Talk Inhibits Intrahepatic Cholangiocarcinoma Progression 9 samples same disease briefing · shares cholangiocarcinoma, intrahepatic
- GSE319935 Defining molecular signatures of the solid/pseudopapillary and pseudoglandular patterns in so-called "solid-tubulocystic intrahepatic cholangiocarcinoma vs. NIPBL::NACC1 fusion hepatic carcinoma" 6 samples same disease briefing · shares cholangiocarcinoma, intrahepatic
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.