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RNA sequencing in untreated (UN), sodium arsenite (SA) and heat shock (HS) stressed HeLa,HUVEC and THP-1 cells

GSE278916 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2025/05/26 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: 9 conditions, mostly in duplicateGroups 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
De novo assembly of nuclear stress bodies rearranges and enhances NFIL3 to restrain acute inflammatory responsesCell · 2025
Summary (written by the submitters)
Mammalian cells activate diverse defense mechanisms in response to stresses. Nuclear stress bodies (nSBs) are transient membraneless organelles in primates that only form upon severe stresses. Little is known on how their formation contributes to cellular homeostasis or whether nSBs have any pathophysiological roles. We observed that the de novo formation of nSBs accompanies enlarged pericentromeric SatⅢ DNA chromatin loci, prompting us to investigate whether such an acute alteration impacts regional chromatin accessibility and gene expression.
Published in
De novo assembly of nuclear stress bodies rearranges and enhances NFIL3 to restrain acute inflammatory responses
Liu XQ, Li P, Gao BQ et al. · Cell 2025 · PMID 40436014 · doi:10.1016/j.cell.2025.05.003
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 GSE278916_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 PRJNA1169616 and SRA study SRP536890. Searching any of these in the dataset finder brings you back here.

Study design
9 conditions, mostly in duplicate
RNA-seq_HeLa_UN ×2 RNA-seq_HeLa_HS ×2 RNA-seq_HeLa_SA ×2 RNA-seq_HUVEC_UN ×2 RNA-seq_HUVEC_HS ×2 RNA-seq_HUVEC_SA ×2 RNA-seq_THP-1_UN ×2 RNA-seq_THP-1_HS ×2 +1 more

Supports a between-group comparison across 18 samples.

How we read this: 9 replicated groups read from 18 sample titles; they account for 18 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
Datasets on a similar topic

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