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Rapid and synchronous chemical induction of replicative-like senescence via a small molecule inhibitor [bulk RNA-seq]

GSE238252 Homo sapiens (human) RNA-seq (gene expression) 14 samples Submitted 2024/04/24 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 14 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
14 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
Rapid and synchronous chemical induction of replicative-like senescence via a small molecule inhibitorAging cell · 2024
Summary (written by the submitters)
Cellular senescence is now acknowledged as a key contributor to organismal ageing and late-life disease. Although popular, the study of senescence in vitro can be complicated by the prolonged and asynchronous timing of cells committing to it and its paracrine effects. To address these issues, we repurposed the small molecule inhibitor inflachromene (ICM) to induce senescence to human primary cells.
Read the full summary ↓
Within six days of treatment with ICM, senescence hallmarks, including the nuclear eviction of HMGB1 and -B2, are uniformly induced across the cell population. By comparing various high throughput datasets from ICM-induced and replicative senescence, we uncovered significant similarities between the two states. Notably, ICM suppresses the proinflammatory secretome associated with senescence, thus alleviating most paracrine effects. In summary, ICM rapidly and synchronously induces a senescence-like phenotype that allows us to study its core regulatory program without any confounding heterogeneity.
Published in
Rapid and synchronous chemical induction of replicative-like senescence via a small molecule inhibitor
Palikyras S, Sofiadis K, Stavropoulou A et al. · Aging cell 2024 · PMID 38196311 · doi:10.1111/acel.14083
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 GSE238252_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 PRJNA998463 and SRA study SRP451467. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 14 more — browse all 14 samples with per-sample file links →

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