GEO series

Structural Basis of DNA-Dependent Coactivator Recruitment by the Tuft Cell Master Regulator POU2F3 [RNA-seq]

GSE302002 Homo sapiens (human) RNA-seq (gene expression) 18 samples Submitted 2026/01/01 Platform GPL30173

At a glance

RNA-seq (gene expression) · human · 18 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)
Topic: Small cell lung cancerThis series is part of our curated briefing on it.
Samples: 18 samples: 6 conditions, mostly in triplicateGroups 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: Structural basis of DNA-dependent coactivator recruitment by the tuft cell master regulator POU2F3Cell reports · 2025

Summary (written by the submitters)

The transcription factor POU2F3 defines the identity of tuft cells and underlies a distinct molecular subtype of small cell lung cancer (SCLC). Although POU2F3 is considered undruggable, its activity critically depends on the coactivators OCA-T1 and OCA-T2. Here, we demonstrate that acute suppression of either POU2F3 or OCA-T1 induces regression of tuft cell-like SCLC xenografts in vivo.

Read the full summary ↓

To explore the structural basis and druggability of this dependency, we solved crystal structures of POU2F3 bound to OCA-T1 or OCA-T2 in complex with DNA, revealing a tripartite, DNA-dependent interface. We further employed deep mutational scanning to systematically assess the functional impact of 4,218 missense variants in POU2F3 and OCA-T1, uncovering both mutation-sensitive hotspots and structurally constrained regions critical for tumor cell fitness. These findings define a unique transcriptional complex that integrates DNA recognition with coactivator recruitment and nominate POU2F3–OCA-T as a structurally tractable vulnerability in tuft cell-like carcinomas.

Published in

Structural basis of DNA-dependent coactivator recruitment by the tuft cell master regulator POU2F3

Alpsoy A, Ipsaro JJ, Skopelitis D et al. · Cell reports 2025 · PMID 41260223 · doi:10.1016/j.celrep.2025.116572

This dataset

Open GSE302002 in finder → Find more human RNA-seq datasets → Small cell lung cancer landscape →

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 GSE302002_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: 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 PRJNA1288267 and SRA study SRP599050. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41260223) ↗

Study design

6 conditions, mostly in triplicate

H211, Empty Vector, sgPOU2F3, d5, ×3 H211, Empty Vector, sgRosa, d5, ×3 H211, L191A, sgPOU2F3, d5, ×3 H211, L191A, sgRosa, d5, ×3 H211, WT, sgPOU2F3, d5, ×3 H211, WT, sgRosa, d5, ×3

Supports a between-group comparison across 18 samples.

How we read this: 6 replicated groups read from 18 sample titles; they account for 18 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

GSM9094012 H211, Empty Vector, sgPOU2F3, d5, Rep1 H211, Empty Vector, sgP…
GSM9094013 H211, Empty Vector, sgPOU2F3, d5, Rep2 H211, Empty Vector, sgP…
GSM9094014 H211, Empty Vector, sgPOU2F3, d5, Rep3 H211, Empty Vector, sgP…
GSM9094015 H211, Empty Vector, sgRosa, d5, Rep1 H211, Empty Vector, sgR…
GSM9094016 H211, Empty Vector, sgRosa, d5, Rep2 H211, Empty Vector, sgR…
GSM9094017 H211, Empty Vector, sgRosa, d5, Rep3 H211, Empty Vector, sgR…
GSM9094018 H211, L191A, sgPOU2F3, d5, Rep1 H211, L191A, sgPOU2F3, …
GSM9094019 H211, L191A, sgPOU2F3, d5, Rep2 H211, L191A, sgPOU2F3, …
GSM9094020 H211, L191A, sgPOU2F3, d5, Rep3 H211, L191A, sgPOU2F3, …
GSM9094021 H211, L191A, sgRosa, d5, Rep1 H211, L191A, sgRosa, d5,
GSM9094022 H211, L191A, sgRosa, d5, Rep2 H211, L191A, sgRosa, d5,
GSM9094023 H211, L191A, sgRosa, d5, Rep3 H211, L191A, sgRosa, d5,
GSM9094024 H211, WT, sgPOU2F3, d5, Rep1 H211, WT, sgPOU2F3, d5,
GSM9094025 H211, WT, sgPOU2F3, d5, Rep2 H211, WT, sgPOU2F3, d5,
GSM9094026 H211, WT, sgPOU2F3, d5, Rep3 H211, WT, sgPOU2F3, d5,
GSM9094027 H211, WT, sgRosa, d5, Rep1 H211, WT, sgRosa, d5,
GSM9094028 H211, WT, sgRosa, d5, Rep2 H211, WT, sgRosa, d5,
GSM9094029 H211, WT, sgRosa, d5, Rep3 H211, WT, sgRosa, d5,

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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.