mRNA sequencing data of liver tumor tissues
RNA-seq (gene expression) · human · 136 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
- Hepatocellular carcinomaThis series is part of our curated briefing on it.
- Samples
- 136 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.
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 GSE244591_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 PRJNA1023836 and SRA study SRP464438. 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 HCC_001 … HCC_141 and carry no group information.
- GSM7821306 HCC_001
- GSM7821307 HCC_002
- GSM7821308 HCC_003
- GSM7821309 HCC_004
- GSM7821310 HCC_005
- GSM7821311 HCC_006
- GSM7821312 HCC_007
- GSM7821313 HCC_008
- GSM7821314 HCC_009
- GSM7821315 HCC_010
- GSM7821316 HCC_011
- GSM7821317 HCC_012
- GSM7821318 HCC_013
- GSM7821319 HCC_014
- GSM7821320 HCC_015
- GSM7821321 HCC_016
- GSM7821322 HCC_017
- GSM7821323 HCC_018
- GSM7821324 HCC_019
- GSM7821325 HCC_020
- GSM7821326 HCC_021
- GSM7821327 HCC_022
- GSM7821328 HCC_023
- GSM7821329 HCC_024
- GSM7821330 HCC_025
- GSM7821331 HCC_026
- GSM7821332 HCC_027
- GSM7821333 HCC_028
- GSM7821334 HCC_029
- GSM7821335 HCC_030
- GSM7821336 HCC_031
- GSM7821337 HCC_032
- GSM7821338 HCC_033
- GSM7821339 HCC_034
- GSM7821340 HCC_035
- GSM7821341 HCC_036
- GSM7821342 HCC_037
- GSM7821343 HCC_038
- GSM7821344 HCC_039
- GSM7821345 HCC_040
+ 96 more — browse all 136 samples with per-sample file links →
- GSE114564 Identification of novel serum biomarkers in early-stage HCC patients. 118 samples same disease briefing
- GSE105130 Comprehensive analysis of Transcriptome Profiles in Hepatocellular Carcinoma patients 52 samples same disease briefing
- GSE140228 Landscape and Dynamics of Single Immune Cells in Hepatocellular Carcinoma 41 samples same disease briefing
- GSE14520 Gene expression data of human hepatocellular carcinoma (HCC) 488 samples same disease briefing
- GSE10143 Gene Expression in Fixed Tissues and Outcome in Hepatocellular Carcinoma 387 samples same disease briefing
- GSE107170 Molecular Signature of Hepatitis D Virus-Associated Hepatocellular Carcinoma 307 samples same disease briefing
- GSE109211 Molecular predictors of prevention of recurrence in hepatocellular carcinoma with sorafenib as adjuvant treatment in the phase 3 STORM trial 140 samples same disease briefing
- GSE10186 Integrative Transcriptome Analysis Reveals Common Molecular Subtypes of Human Hepatocellular Carcinoma 118 samples same disease briefing
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.