Defective RNA processing and ELOA-mediated transcriptional elongation in reversible cellular senescence suggest aging by transcription
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 162 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Samples
- 162 samples: 131 distinct titles, 27 of them repeatedGroups 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
- Defective RNA processing and ELOA-mediated transcriptional elongation in reversible cellular senescence suggest aging by transcriptionMolecular cell · 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 GSE269948_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA1124155 and SRA study SRP513568. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 162 sample titles: 131 distinct titles with little repetition. 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.
- GSM8325373 ChIP_NELFC-AID_Aux_TetELOA_SPT6
- GSM8325374 ChIP_NELFC-AID_Aux_TetGFP_SPT6
- GSM8325375 ChIP_NELFC-AID_NT_TetELOA_HA-ELOA
- GSM8325376 ChIP_NELFC-AID_NT_TetELOA_SPT6
- GSM8325377 ChIP_NELFC-AID_TetELOA_Aux_HA-ELOA
- GSM8325378 ChIP_NELFC-AID_TetELOA_Aux5hr_PAF1
- GSM8325379 ChIP_NELFC-AID_TetELOA_NT_PAF1
- GSM8325380 ChIP_NELFC-AID_TetELOA3_Aux_HA-ELOA3
- GSM8325381 ChIP_NELFC-AID_TetELOA3_Aux_INPUT
- GSM8325383 ChIP_NELFC-AID_TetELOA3_Aux_POL2
- GSM8325387 ChIP_NELFC-AID_TetELOA3_Aux4hr_SPT6
- GSM8325392 ChIP_NELFC-AID_TetELOA3_NT_HA-ELOA3
- GSM8325393 ChIP_NELFC-AID_TetELOA3_NT_INPUT
- GSM8325394 ChIP_NELFC-AID_TetELOA3_NT_POL2
- GSM8325395 ChIP_NELFC-AID_TetELOA3_NT_SPT6
- GSM8325396 ChIP_NELFC-AID_TetGFP_Aux_HA-ELOA3
- GSM8325397 ChIP_NELFC-AID_TetGFP_Aux_INPUT
- GSM8325400 ChIP_NELFC-AID_TetGFP_Aux4h_POL2
- GSM8325401 ChIP_NELFC-AID_TetGFP_Aux4hr_NELFC
- GSM8325402 ChIP_NELFC-AID_TetGFP_Aux4hr_pSer2
- GSM8325403 ChIP_NELFC-AID_TetGFP_Aux4hr_SPT6
- GSM8325404 ChIP_NELFC-AID_TetGFP_Aux5hr_PAF1
- GSM8325411 ChIP_NELFC-AID_TetGFP_NT_HA-ELOA3
- GSM8325412 ChIP_NELFC-AID_TetGFP_NT_INPUT
- GSM8325413 ChIP_NELFC-AID_TetGFP_NT_NELFC
- GSM8325414 ChIP_NELFC-AID_TetGFP_NT_PAF1
- GSM8325415 ChIP_NELFC-AID_TetGFP_NT_POL2
- GSM8325416 ChIP_NELFC-AID_TetGFP_NT_pSer2
- GSM8325417 ChIP_NELFC-AID_TetGFP_NT_SPT6_Rep1
- GSM8325418 ChIP_NELFC-AID_TetGFP_NT_SPT6_Rep2
- GSM8325527 RNA_NELFC-AID_ELOAKO-C1_Auxin6hr_Rep1
- GSM8325528 RNA_NELFC-AID_ELOAKO-C1_Auxin6hr_Rep2
- GSM8325529 RNA_NELFC-AID_ELOAKO-C1_Rep1
- GSM8325530 RNA_NELFC-AID_ELOAKO-C1_Rep2
- GSM8325531 RNA_NELFC-AID_ELOAKO-C2_Auxin6hr_Rep1
- GSM8325532 RNA_NELFC-AID_ELOAKO-C2_Auxin6hr_Rep2
- GSM8325533 RNA_NELFC-AID_ELOAKO-C2_Rep1
- GSM8325534 RNA_NELFC-AID_ELOAKO-C2_Rep2
- GSM8325535 RNA_NELFC-AID_ELOA-WT_Auxin6hr_Rep1.1
- GSM8325536 RNA_NELFC-AID_ELOA-WT_Auxin6hr_Rep1.2
+ 122 more — browse all 162 samples with per-sample file links →
- GSE306993 Transcriptional and epigenetic targets of MEF2C in human microglia contribute to cellular functions related to autism risk and age-related disease. 76 samples shares transcription, cellular
- GSE300575 Cohesin acts as a transcriptional gatekeeper by restraining pause–release to promote processive elongation [ChIP-seq] 22 samples shares transcription, elongation
- GSE303576 Rb-driven transcription limits its tumour suppressive effects in breast cancer 279 samples shares transcription
- GSE314310 Cardiopedia-Ligand: a Ligand Stimulation Atlas for Cardiac Function and Transcriptional Response 468 samples shares transcription
- GSE22098 Whole blood transcriptional profiles of patients with active tuberculosis (TB) and other inflammatory and infectious diseases 274 samples shares transcription
- GSE303478 Systematic investigation reveals extensive Epstein-Barr virus transcriptional regulation of the human genome 217 samples shares transcription
- GSE271676 Spatial Transcriptional Landscape of Human Heart Failure 178 samples shares transcription
- GSE274546 The Multi-Layered Transcriptional Architecture of Glioblastoma Ecosystems [10X] 121 samples shares transcription
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.