Transcriptomic profiling of the intermediate cell carcinoma of the primary liver cancer
RNA-seq (gene expression) · human · 25 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
- 25 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
- Transcriptomic profiling of intermediate cell carcinoma of the liverHepatology communications · 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 GSE241466_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 PRJNA1008226 and SRA study SRP456536. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run YSINT2 … YSINT26 and carry no group information.
- GSM7729323 YSINT2
- GSM7729324 YSINT3
- GSM7729325 YSINT4
- GSM7729326 YSINT5
- GSM7729327 YSINT6
- GSM7729328 YSINT7
- GSM7729329 YSINT8
- GSM7729330 YSINT9
- GSM7729331 YSINT10
- GSM7729332 YSINT11
- GSM7729333 YSINT12
- GSM7729334 YSINT13
- GSM7729335 YSINT14
- GSM7729336 YSINT15
- GSM7729337 YSINT16
- GSM7729338 YSINT17
- GSM7729339 YSINT18
- GSM7729340 YSINT19
- GSM7729341 YSINT20
- GSM7729342 YSINT21
- GSM7729343 YSINT22
- GSM7729344 YSINT23
- GSM7729345 YSINT24
- GSM7729346 YSINT25
- GSM7729347 YSINT26
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- GSE221608 Transcriptome sequencing of normal intestinal mucosal tissues, paired primary CRC tissues and liver metastases lesions in participants of CRC 52 samples shares primary, liver
- GSE304352 Transcriptome analysis of liver tissue from patients with Autoimmune Hepatitis, Primary Biliary Cholangitis, and Chronic Hepatitis B 11 samples shares primary, liver
- GSE322620 Single-cell transcriptomic profiling of primary oral squamous cell carcinoma and lymph node metastatic lesions 10 samples shares primary
- GSE263733 Single-cell transcriptome analysis reveals subtype-specific clonal evolution and microenvironmental changes in liver metastasis of pancreatic adenocarcinoma and their clinical implications 218 samples shares liver
- GSE203067 Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Esophageal Squamous Cell Carcinoma 21 samples shares primary
- GSE237429 Single-cell transcriptomics reveals distinct molecular alterations of human renal cell carcinoma-derived endothelial cells that are stable in ex vivo primary culture 19 samples shares primary
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.