Noncoding RNA, ncRNA-a3, epigenetically regulates TAL1 transcriptional program during erythropoiesis (CUT&Run)
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 15 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
- 15 samples: 12 distinct titles, 3 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
- Noncoding RNA, ncRNA-a3, Epigenetically Regulates TAL1 Transcriptional Program During ErythropoiesisMolecular and cellular biology · 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 GSE272339_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 PRJNA1136479 and SRA study SRP520233. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 15 sample titles: 12 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.
- GSM8398748 CnR_K562_BRG1_WT
- GSM8398749 CnR_K562_TAL1_WT
- GSM8398750 CnR_K562_p300_WT
- GSM8398751 CnR_K562_BRG1_KD1
- GSM8398752 CnR_K562_TAL1_KD1
- GSM8398753 CnR_K562_p300_KD1
- GSM8398754 CnR_K562_BRG1_KD2
- GSM8398755 CnR_K562_TAL1_KD2
- GSM8398756 CnR_K562_p300_KD2
- GSM8398757 CnR_K562_16BRG1
- GSM8398758 CnR_K562_16TAL1
- GSM8398759 CnR_K562_16p300
- GSM8398760 CnR_K562_RnBRG1
- GSM8398761 CnR_K562_RnTAL1
- GSM8398762 CnR_K562_Rnp300
- GSE339365 Genome-wide H3K4me3 profiling of circulating immune cells reveals dynamic epigenetic reprogramming during acute critical COVID-19 120 samples shares cut, program
- GSE303343 A unified network systems approach uncovers a core program underlying T follicular helper cell differentiation [CUT&RUN] 48 samples shares cut, program
- GSE316989 Targeting CDK12/CYCLIN K induces a gene activation program which is mediated by P-TEFb [Cut&RUN] 10 samples shares cut, program
- GSE270503 Epigenetic heterogeneity and state-specific transcriptional programs determine differential drug response in osteosarcoma [Cut&Run] 56 samples shares cut, program
- GSE294275 Transcriptional analysis of direct NSD2 target genes in t(4;14) multiple myeloma reveals H3K36me2-dependent regulation and H3K27me3 antagonism [CUT&TAG] 40 samples shares cut
- GSE327821 Single-molecule, single-cell profiling of linked chromatin states [Single_cell_CoCUT&Tag] 200 samples shares cut
- GSE289467 Intraindividual epigenetic heterogeneity underlying phenotypic subtypes of advanced prostate cancer [CUT&Tag] 50 samples shares cut
- GSE287902 BPTF regulstes androgen receptor activity by enhancing chromatin accessibility and stabilizing the AR-FOXA1 interaction [Cut&Run] 40 samples shares cut
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.