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Long noncoding RNA-dependent control of Myc transcriptional bursting [HiC]

GSE306102 Mus musculus (mouse) Other 4 samples Submitted 2025/08/22 Platform GPL24247
At a glance

mouse · 4 samples

Organism
Mus musculus (mouse)
Samples
4 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Paper
Long noncoding RNA-dependent control of Myc transcriptional burstingCell reports · 2025
Summary (written by the submitters)
Genes are transcribed in short periods of activity, called bursts. Bursts are initiated by enhancer-promoter contacts and dynamically controlled by the levels of enhancer- and promoter-produced RNAs through a negative feedback mechanism. Here, by direct visualization of nascent transcripts, we show that chromatin-associated long noncoding RNAs (lncRNAs) contribute to the regulation of transcriptional bursting.
Read the full summary ↓
We find that production of Pvt1 raises the baseline of RNA concentration in the locus of the Myc proto-oncogene and acts locally and in a dose-dependent manner to decrease the duration of Myc bursting. Premature termination of Pvt1 led to higher Myc expression and transcriptional activities, resulting in increased cellular proliferation and advanced tumor development in autochthonous models of lung cancer. These findings point to a critical lncRNA-mediated mechanism for Myc regulation and suggest a potentially widespread role for lncRNAs in fine-tuning gene expression through local control of transcriptional bursting.
Published in
Long noncoding RNA-dependent control of Myc transcriptional bursting
Li Q, Dilsavor C, Gahramanov V et al. · Cell reports 2025 · PMID 41105511 · doi:10.1016/j.celrep.2025.116439
This dataset
Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE306102_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Also filed as BioProject PRJNA1221002. Searching any of these in the dataset finder brings you back here.

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