Senescence-specific translation dysregulation desensitizes cells to stress by inhibiting activation of the integrated stress response
RNA-seq (gene expression) · human · 27 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
- 27 samples: 10 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
- Senescence suppresses the integrated stress response and activates a stress-remodeled secretory phenotypeMolecular cell · 2024
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE227766_RAW.tar (it can run to tens of gigabytes).
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 PRJNA946781 and SRA study SRP428305. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 27 samples.
How we read this: 10 replicated groups read from 27 sample titles; they account for 27 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.
- GSM7107921 Cycling cells RNA-seq, 1 Cycling cells RNA-seq,
- GSM7107922 Cycling cells RNA-seq, 2 Cycling cells RNA-seq,
- GSM7107923 Contact-inhibited quiescent cells RNA-seq, 1 Contact-inhibited quies…
- GSM7107924 Contact-inhibited quiescent cells RNA-seq, 2 Contact-inhibited quies…
- GSM7107925 Contact-inhibited quiescent cells RNA-seq, 3 Contact-inhibited quies…
- GSM7107926 Ionizing Radiation induced senescent cells RNA-seq, 1 Ionizing Radiation indu…
- GSM7107927 Ionizing Radiation induced senescent cells RNA-seq, 2 Ionizing Radiation indu…
- GSM7107928 Ionizing Radiation induced senescent cells RNA-seq, 3 Ionizing Radiation indu…
- GSM7107929 Etoposide-induced senecent cells RNA-seq, 1 Etoposide-induced senec…
- GSM7107930 Etoposide-induced senecent cells RNA-seq, 2 Etoposide-induced senec…
- GSM7107931 Etoposide-induced senecent cells RNA-seq, 3 Etoposide-induced senec…
- GSM7107932 Cycling cells Ribo-seq, 1 Cycling cells Ribo-seq,
- GSM7107933 Cycling cells Ribo-seq, 2 Cycling cells Ribo-seq,
- GSM7107934 Cycling cells Ribo-seq, 3 Cycling cells Ribo-seq,
- GSM7107935 Contact-inhibited quiescent cells Ribo-seq, 1 Contact-inhibited quies…
- GSM7107936 Contact-inhibited quiescent cells Ribo-seq, 2 Contact-inhibited quies…
- GSM7107937 Contact-inhibited quiescent cells Ribo-seq, 3 Contact-inhibited quies…
- GSM7107938 Ionizing Radiation induced senescent cells Ribo-seq, 1 Ionizing Radiation indu…
- GSM7107939 Ionizing Radiation induced senescent cells Ribo-seq, 2 Ionizing Radiation indu…
- GSM7107940 Ionizing Radiation induced senescent cells Ribo-seq, 3 Ionizing Radiation indu…
- GSM7107941 Etoposide-induced senecent cells Ribo-seq, 1 Etoposide-induced senec…
- GSM7107942 Etoposide-induced senecent cells Ribo-seq, 2 Etoposide-induced senec…
- GSM7107943 Etoposide-induced senecent cells Ribo-seq, 3 Etoposide-induced senec…
- GSM8508334 Cycling Tg Treated RNA-seq, 1 Cycling Tg Treated RNA-…
- GSM8508335 Cycling Tg Treated RNA-seq, 2 Cycling Tg Treated RNA-…
- GSM8508336 Cycling Tg Treated Ribo-seq, 1 Cycling Tg Treated Ribo…
- GSM8508337 Cycling Tg Treated Ribo-seq, 2 Cycling Tg Treated Ribo…
- GSE223762 Senescence-associated dysregulation of translation inhibits activation of the integrated stress response 54 samples shares dysregulation, translation, activation, integrated, stress
- GSE256237 The G3BP Stress-Granule Proteins Reinforce the Translation Program of the Integrated Stress Response 68 samples shares translation, integrated, stress
- GSE253723 Reverse translational discovery reveals dysregulation of CD4+ and CD8+ resident memory T, myeloid, and stromal cells in steroid-refractory, checkpoint inhibitor colitis 12 samples shares dysregulation, translation
- GSE339049 Severe long-COVID is driven by monocyte reprogramming and broad immune dysregulation linked to herpesvirus activation 48 samples shares dysregulation, activation
- GSE305263 Integrated RNA, translation, and proteome profiling reveals midbody remnants as selectively organized signaling vesicles 42 samples shares translation, integrated
- GSE230127 Poly-GR impairs translation elongation and increases ribotoxic stress response in C9ORF72-ALS/FTD 36 samples shares translation, stress
- GSE309174 Stem cell activation in organ culture reveals novel transcriptional programs underlying metabolic, fibrotic, vascular, and immune dysregulation in uterine leiomyomas 25 samples shares dysregulation, activation
- GSE293353 Integrative metaprogram analysis reveals transcriptional dysregulation of oxidative stress response in granulosa cells from polycystic ovary syndrome 18 samples shares dysregulation, stress
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.