PURPL bidirectionally controls senescence: depletion rejuvenates fibroblasts while overexpression accelerates aging [RNA-Seq2]
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: 6 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
- Targeting PURPL RNA enabled rejuvenation of senescence cells via epigenetic reprogrammingJournal of translational medicine · 2025
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 GSE301166_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 PRJNA1284215 and SRA study SRP596045. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 18 samples.
How we read this: 6 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.
- GSM9076631 BJ sgCtrl,rep1 BJ sgCtrl,
- GSM9076632 BJ sgCtrl,rep2 BJ sgCtrl,
- GSM9076633 BJ sgCtrl,rep3 BJ sgCtrl,
- GSM9076634 BJ sgRNA-PURPL#1,rep1 BJ sgRNA-PURPL#1,
- GSM9076635 BJ sgRNA-PURPL#1,rep2 BJ sgRNA-PURPL#1,
- GSM9076636 BJ sgRNA-PURPL#1,rep3 BJ sgRNA-PURPL#1,
- GSM9076637 BJ sgRNA-PURPL#2,rep1 BJ sgRNA-PURPL#2,
- GSM9076638 BJ sgRNA-PURPL#2,rep2 BJ sgRNA-PURPL#2,
- GSM9076639 BJ sgRNA-PURPL#2,rep3 BJ sgRNA-PURPL#2,
- GSM9076640 BJ Ctrl,rep1 BJ Ctrl,
- GSM9076641 BJ Ctrl,rep2 BJ Ctrl,
- GSM9076642 BJ Ctrl,rep3 BJ Ctrl,
- GSM9076643 BJ PURPL#1-OE,rep1 BJ PURPL#1-OE,
- GSM9076644 BJ PURPL#1-OE,rep2 BJ PURPL#1-OE,
- GSM9076645 BJ PURPL#1-OE,rep3 BJ PURPL#1-OE,
- GSM9076646 BJ PURPL#2-OE,rep1 BJ PURPL#2-OE,
- GSM9076647 BJ PURPL#2-OE,rep2 BJ PURPL#2-OE,
- GSM9076648 BJ PURPL#2-OE,rep3 BJ PURPL#2-OE,
- GSE326699 DYRK1B Overexpression Promotes Senescence-Like Transcriptional and Secretory Programs in A549 Lung Cancer Cells 12 samples shares overexpression, senescence
- GSE317058 Overexpression of KLF4 in SSc lung fibroblasts initiates dedifferentiation 8 samples shares overexpression, fibroblasts
- GSE241936 Activation of a nongenetic AHR-ELMSAN1 axis optimizes BET-targeting therapy and suppresses leukemia stem cells in preclinical models [RNA-Seq2] 36 samples shares rna-seq2
- GSE98201 Medial Ganglionic Eminence and Cortical Organoids Model Human Brain Development and Interneuron Migration [RNA-seq2] 8 samples shares rna-seq2
- GSE301886 Trisomy 21 drives ADARB1 overexpression and premature RNA recoding in the developing fetal brain 94 samples shares overexpression
- GSE161368 TF overexpression assay in PDA cell lines (Bulk RNA-Seq) 69 samples shares overexpression
- GSE296787 Effect of overexpression of aging-associated transcription factors on epithelial cells. 64 samples shares overexpression
- GSE281525 RNA-sequence data of clinically never-metastatic primary small cell lung cancer cases and small cell lung cancer metastasis cases, FOXA2 knock-down and overexpression in cell lines 61 samples shares overexpression
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.