Effect of overexpressing a dominant negative LXRalpha mutant in HepG2 cells
RNA-seq (gene expression) · human · 24 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
- 24 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
- Damaging mutations in liver X receptor-α are hepatotoxic and implicate cholesterol sensing in liver healthNature metabolism · 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 GSE273158_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 PRJNA1140263 and SRA study SRP522291. 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.
+ 24 more — browse all 24 samples with per-sample file links →
- GSE292625 Mutant p53 negatively regulates ER⍺ activity to drive resistance to endocrine therapy 18 samples shares negative, mutant
- GSE302559 Transcriptomic points of departure for 6PPD-Quinone derived from human Caco-2 and HepG2 cells 72 samples shares hepg2
- GSE283054 Digital transformation of herbal medicine: Conversion to biological entity data using Qi related decoction and constituent herbal medicine-induced transcriptome sequencing_third_HepG2 270 samples shares hepg2
- GSE277865 Screening for genes that promote copper toxicity in a cell model of Wilson disease [HepG2 cells ATP7B-KO] 30 samples shares hepg2
- GSE270357 Transcriptome sequencing of palmitic acid-treated HepG2 cells upon intervention of curcumin or curcumin-copper complex 9 samples shares hepg2
- GSE248973 Digital transformation of herbal medicine: Conversion to biological entity data using digestive herbal medicine-induced transcriptome sequencing_second_HepG2_batchD 60 samples shares hepg2
- GSE281075 Digital transformation of herbal medicine: Conversion to biological entity data using Qi related decoction and constituent herbal medicine-induced transcriptome sequencing_third_HepG2_batchD 60 samples shares hepg2
- GSE244702 Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_HepG2_batchA 60 samples shares hepg2
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.