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Chromatin accessibility and transcriptomic responses to HDAC inhibitors in TP53 mutated patient-derived colon cancer organoids [RNA-seq]

GSE246045 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2024/03/04 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 18 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
18 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
Changes in chromatin accessibility and transcriptional landscape induced by HDAC inhibitors in TP53 mutated patient-derived colon cancer organoidsBiomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2024
Summary (written by the submitters)
Here we present the generation and characterization of patient-derived organoids (PDOs) from colorectal cancer patients. Two PDOs derived from patients with TP53 mutations were tested with two different HDACIs (SAHA and NKL54). Induction of cell death, transcriptome, and chromatin accessibility changes were analyzed. HDACIs promote the upregulation of low expressed genes and suppress the expression of highly expressed genes.
Read the full summary ↓
A similar differential effect is also observed at the level of chromatin accessibility. Only SAHA is a potent inducer of cell death. The induction of apoptosis is characterized by the upregulation of BH3-only genes (especially BIK and BMF). Up-regulation of BIK is associated with increased accessibility in an intronic region. SAHA, but not NKL54, also causes downregulation of BCL2L1 and decreases chromatin accessibility in three distinct regions of the BCL2L1 locus. Both inhibitors upregulate the expression of innate immunity genes and members of the MHC family. In conclusion, our studies explain the mechanisms of action of SAHA and cast doubt on the use of NKL54 as a single agent for efficient apoptosis induction.
Published in
Changes in chromatin accessibility and transcriptional landscape induced by HDAC inhibitors in TP53 mutated patient-derived colon cancer organoids
Gagliano T, Kerschbamer E, Baccarani U et al. · Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie 2024 · PMID 38447451 · doi:10.1016/j.biopha.2024.116374
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE246045_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1031173 and SRA study SRP467999. Searching any of these in the dataset finder brings you back here.

Samples in this study

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