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Epigenetic Control over IFN Type-I Response antagonizes self-renewal in acute myeloid leukemia (RNA-seq)

GSE211642 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2024/03/11 Platform GPL18573
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: 4 × THP1 F279S, vs 4 × THP1 PHF8, vs 4 × THP1 wt,Groups 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
Epigenetic control over the cell-intrinsic immune response antagonizes self-renewal in acute myeloid leukemiaBlood · 2024
Summary (written by the submitters)
To investigate the impact of PHF8 demethylase activity and PHF8 phosphorylation changes in blocking AML cells progression. We established THP1-wt, THP1-PHF8 and THP1-F279S cell lines for demethylase activity studies and THP1-PHF8AA and THP1-PHF8DD for phosphorylation studies.
Published in
Epigenetic control over the cell-intrinsic immune response antagonizes self-renewal in acute myeloid leukemia
Felipe Fumero E, Walter C, Frenz JM et al. · Blood 2024 · PMID 38457355 · doi:10.1182/blood.2023021640
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 GSE211642_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 PRJNA871248 and SRA study SRP393045. Searching any of these in the dataset finder brings you back here.

Study design
4 × THP1 F279S, vs 4 × THP1 PHF8, vs 4 × THP1 wt,

Supports a between-group comparison across 12 samples.

How we read this: 3 replicated groups read from 18 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.

Samples in this study
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