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Role of MYC acetylated lysine residues in cell transformation and gene-selective regulation [MCF10A]

GSE220918 Homo sapiens (human) RNA-seq (gene expression) 15 samples Submitted 2024/03/20 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 15 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
15 samples: 5 conditions, mostly in triplicateGroups 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
MYC acetylated lysine residues drive oncogenic cell transformation and regulate select genetic programs for cell adhesion-independent growth and survivalGenes & development · 2023
Summary (written by the submitters)
The functions of MYC acetylation have remained unclear. In this study we identified the major lysine residues of MYC that are acetylated by p300 and GCN5 in cancer cell lines and established the requirment of three specific acetyl-lysine (AcK) residues for MYC transformation of Rat1a fibroblasts and MCF10 mammary epithelial cells. We further uncovered gene-selective regulatory functions and conserved genetic programs and biolofical processes regulated by MYC AcK residues in both cell types.
Published in
MYC acetylated lysine residues drive oncogenic cell transformation and regulate select genetic programs for cell adhesion-independent growth and survival
Hurd M, Pino J, Jang K et al. · Genes & development 2023 · PMID 37852796 · doi:10.1101/gad.350736.123
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 GSE220918_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 PRJNA912073 and SRA study SRP412962. Searching any of these in the dataset finder brings you back here.

Study design
5 conditions, mostly in triplicate
MCF10A Cells, Empty, ×3 MCF10A Cells, Wild Type, ×3 MCF10A Cells, Mutant R149, ×3 MCF10A Cells, Mutant R158, ×3 MCF10A Cells, Mutant R323, ×3

Supports a case/control comparison: 9 samples read as cases, 3 as controls.

How we read this: 5 replicated groups read from 15 sample titles; they account for 15 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.

Samples in this study
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