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Molecular basis for human respiratory syncytial virus transcriptional regulator NS1 interactions with MED25

GSE270463 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 36 samples Submitted 2025/03/09 Platform GPL24676Platform GPL34281
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 36 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
36 samples: 15 conditions, mostly in duplicateGroups 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
Molecular basis for human respiratory syncytial virus transcriptional regulator NS1 interactions with MED25Nature communications · 2025
Summary (written by the submitters)
Human Respiratory Syncytial Virus (hRSV) is a prevalent pathogen posing significant risks to infants and older adults. While the roles of RSV non-structural proteins NS1 protein in modulating host immune responses remains poorly defined, its potential impact on viral pathogenicity is critical.
Read the full summary ↓
We employed CUT&RUN of NS1, Mediator, and ATF3 in WT NS1 and mutant NS1 expressing A549 cells and bulk RNA sequencing of WT and mutant NS1-expressing A549 (GSE155151) and RSV infection in human lung air-liquid interface (ALI) cultures to elucidate the perterbations of transcriptional regulatory control induced by NS1. Coupled with our earlier work, these epigenomic and transcriptomic profiling datasets provides deeper insights into the molecular mechanisms through which RSV NS1 protein disrupts host immune functions.
Published in
Molecular basis for human respiratory syncytial virus transcriptional regulator NS1 interactions with MED25
Kalita P, Khatavkar O, Uwase G et al. · Nature communications 2025 · PMID 40128225 · doi:10.1038/s41467-025-58216-4
This dataset
Open GSE270463 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE270463_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1126678 and SRA study SRP515345. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40128225) ↗
Study design
15 conditions, mostly in duplicate
anti-ATF3_E110A-NS1-A549_CUTandRUN ×2 anti-ATF3_E110A/L132A/L133A-NS1-A549_CUTandRUN ×2 anti-ATF3_EV-A549_CUTandRUN ×2 anti-ATF3_WT-NS1-A549_CUTandRUN ×2 anti-ATF3_Y125A-NS1-A549_CUTandRUN ×2 anti-HA_E110A-NS1-A549_CUTandRUN ×2 anti-HA_E110A/L132A/L133A-NS1-A549_CUTandRUN ×2 anti-HA_EV-A549_CUTandRUN ×2 +13 more

Supports a between-group comparison across 30 samples.

How we read this: 15 replicated groups read from 36 sample titles; they account for 30 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.

Samples in this study
Datasets on a similar topic

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