Transcriptome analysis in HL-60 cells after combined treatment with ATRA and palbociclib
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: 12 samples, each with a distinct title — no replicated groupsGroups 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
- Enlarged PML-nuclear bodies trigger conflicting cell cycle signal-mediated cytotoxicity in leukemia cellsCell death & disease · 2025
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 GSE276457_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 PRJNA1157416 and SRA study SRP530736. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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.
- GSM8498835 untreated (biol rep 1)
- GSM8498836 untreated (biol rep 2)
- GSM8498837 untreated (biol rep 3)
- GSM8498838 ATRA (biol rep 1)
- GSM8498839 ATRA (biol rep 2)
- GSM8498840 ATRA (biol rep 3)
- GSM8498841 palbociclib (biol rep 1)
- GSM8498842 palbociclib (biol rep 2)
- GSM8498843 palbociclib (biol rep 3)
- GSM8498844 combination (biol rep 1)
- GSM8498845 combination (biol rep 2)
- GSM8498846 combination (biol rep 3)
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- GSE180948 RNA-Seq based transcriptome analysis of colorectal cancer cells in response to lactate treatment 12 samples shares treatment
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- GSE282913 Gene Expression Analysis of CD4 T Cells in Autoimmune Pancreatitis: Treatment-Correlated Expression Profiles 45 samples shares treatment
- GSE324785 Comparative analysis of gene expression in HDV-infected dHepaRG cells upon treatment with IFN-α-2a or IFN-λ1 27 samples shares treatment
- GSE283522 The spatially informed mFISHseq assay resolves biomarker discordance and predicts treatment response in breast cancer 1254 samples shares treatment
- GSE171741 Albumin treatment transcriptionally reprograms circulating immune cells in patients with acutely decompensated cirrhosis 139 samples shares treatment
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.