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Nanopore long-read RNA sequencing in untreated (UN), sodium arsenite (SA) and heat shock (HS) stressed HeLa cells

GSE277764 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2025/05/26 Platform GPL26167
At a glance

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: 6 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)
Recent completion of the telomere-to-telomere (T2T) genome assembly has enabled a comprehensive characterization of pericentromeric SatⅠ, SatII, SatⅢ and centromeric α-satellite repeats. SatⅢ DNA constitutes ~1.56% of the genome with a reported localization across 16 chromosomes. The transcription activity of SatⅢ DNA across genome and the sequence of SatⅢ transcripts remained largely unclear.
Read the full summary ↓
We performed nanopore long-read RNA sequencing (RNA-seq) in untreated (UN), sodium arsenite (SA: 0.1mM, 5 h) and heat shock (HS: 42°C, 2 h; 37°C, 1 h) stressed HeLa cells to characterize SatⅢ transcripts . Since a portion of SatⅢ transcripts is non-polyadenylated, We performed polyadenylated (poly(A)+) and rRNA-depleted (ribo-) nanopore cDNA long-read RNA-seq.
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 GSE277764_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 PRJNA1163900 and SRA study SRP534081. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in duplicate
nanopore_polya_plus_UN ×2 nanopore_polya_plus_HS ×2 nanopore_polya_plus_SA ×2 nanopore_ribo_minus_UN ×2 nanopore_ribo_minus_HS ×2 nanopore_ribo_minus_SA ×2

Supports a between-group comparison across 12 samples.

How we read this: 6 replicated groups read from 12 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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