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Noncoding RNA, ncRNA-a3, epigenetically regulates TAL1 transcriptional program during erythropoiesis (RNA-Seq)

GSE272341 Homo sapiens (human) RNA-seq (gene expression) 13 samples Submitted 2025/05/07 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 13 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
13 samples: 12 distinct titles, 1 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
Summary (written by the submitters)
Here, we showed that a long non-coding RNA (lncRNA), ncRNA-a3 that is transcribed from TAL1 erythroid +51kb enhancer, is required for TAL1 activation during EPO-induced lineage commitment and formation of erythroblasts. ncRNA-a3 regulates long-range chromatin interactions between +51 enhancer, promoter and other regulatory elements in the TAL1 locus to maintain the erythroid interaction hub.
Read the full summary ↓
By binding and recruiting p300/BRG1 to the TAL1 locus ncRNA-a3 facilitates chromatin accessibility in the TAL1 locus and activates TAL1 transcription program, including subsequent epigenetic and transcriptional activation of erythroid specific TAL1 target genes.
Published in
Noncoding RNA, ncRNA-a3, Epigenetically Regulates TAL1 Transcriptional Program During Erythropoiesis
Matur M, Uzun Y, Shi X et al. · Molecular and cellular biology 2025 · PMID 40211453 · doi:10.1080/10985549.2025.2482079
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 GSE272341_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 PRJNA1136480 and SRA study SRP520237. Searching any of these in the dataset finder brings you back here.

Study design
12 distinct titles, 1 of them repeated
RNA_K562_KD ×2

How we read this: Read from 13 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.

Samples in this study
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