Bulk RNA-seq analysis of HepG2 exposed to oleic and palmitic acid
RNA-seq (gene expression) · human · 12 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
- 12 samples: 6 × Control B vs 6 × OA_PA BGroups 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
- Ferroptosis is a targetable detrimental factor in metabolic dysfunction-associated steatotic liver diseaseCell death and differentiation · 2024
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 GSE267694_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 PRJNA1110746. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 2 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8273248 Control B4 Control B
- GSM8273249 Control B5 Control B
- GSM8273250 OA_PA B7 OA_PA B
- GSM8273251 OA_PA B8 OA_PA B
- GSM8273252 Control B25 Control B
- GSM8273253 Control B26 Control B
- GSM8273254 OA_PA B28 OA_PA B
- GSM8273255 OA_PA B29 OA_PA B
- GSM8273256 Control B46 Control B
- GSM8273257 Control B47 Control B
- GSM8273258 OA_PA B49 OA_PA B
- GSM8273259 OA_PA B50 OA_PA B
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- GSE309941 Immunometabolic Endotypes Define Distinct Clinical Trajectories in Type 2 Diabetes [bulk RNA-seq] 42 samples shares rna-seq, bulk
- GSE283079 Bulk RNA-seq of human knee osteoarthritis synovium 41 samples shares rna-seq, bulk
- GSE317207 Transcriptomic profiling of human hepatocellular carcinoma biopsy samples using bulk RNA-seq 33 samples shares rna-seq, bulk
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.