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Large-scale tethered screen of RNA-binding proteins reveals novel regulators of poly(A) site selection [RNA-Seq]

GSE290282 Homo sapiens (human) RNA-seq (gene expression) 92 samples Submitted 2026/06/29 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 92 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
92 samples: 92 samples, each with a distinct title — no replicated groupsGroups 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
Large-scale tethered screen of RNA-binding proteins reveals novel regulators of poly(A) site selectionMolecular cell · 2026
Summary (written by the submitters)
Alternative polyadenylation (APA) is a widespread mechanism of gene regulation that generates transcript isoforms with distinct 3' ends. While several RNA-binding proteins (RBPs) are known to regulate APA, the roles of the vast majority of RBPs in this process remain poorly characterized. Using a large-scale tethered function assay, we screened a library of 879 human RBPs to identify regulators of APA.
Read the full summary ↓
We discovered 52 RBPs that modulate APA, validated their functions through knockdown PAS-seq and enhanced crosslinking and immunoprecipitation (eCLIP), and developed a fine-tuned transformer model to predict activators of PAS selection. We focused on two unexpected hits: GRB2, an adaptor protein with crucial roles in cell signaling, and RNPS1, a member of the exon junction complex (EJC). We uncovered mechanisms by which they modulate APA using affinity purification mass spectrometry (AP-MS) and biochemical assays. Our screen provides a comprehensive resource of RBPs involved in APA and reveals unexpected roles of signaling factors in APA regulation.
Published in
Large-scale tethered screen of RNA-binding proteins reveals novel regulators of poly(A) site selection
Jagannatha P, Yoon Y, Landry SB et al. · Molecular cell 2026 · PMID 42361791 · doi:10.1016/j.molcel.2026.06.011
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 GSE290282_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 PRJNA1227128 and SRA study SRP565737. Searching any of these in the dataset finder brings you back here.

Study design
92 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 80 samples read as cases, 12 as controls.

How we read this: Read from 92 sample titles: 92 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

+ 52 more — browse all 92 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.