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Time courses analysis of the effect of latrunculin B-treatment on gene expression in in vitro differentiated pancreatic progenitor cells.

GSE275775 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2025/02/19 Platform GPL21697
At a glance

RNA-seq (gene expression) · human · 16 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
16 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
Extracellular matrix-driven metabolic control of pancreatic endocrine lineage allocationEMBO reports · 2025
Summary (written by the submitters)
The organization of the actin cytoskeleton is known to influence the endocrine versus ductal fate choice during pancreas development via YAP. However, the intermediate mechanism between changes to actin polymerization and changes in YAP activity during pancreas development has not been identified. Pharmacological inhibition of actin polymerization has also been shown to be a stronger inducer of endocrine fate choice than pharmacological inhibition of YAP activity, indicating that actin depolymerization may induce endocrine fate choice via additional pathways.
Read the full summary ↓
To identify these mechanisms, we performed bulk RNA-sequencing of in vitro differentiated ESC-derived pancreatic progenitor cells treated with latrunculin B for 3, 6, 12, or 24 hours. This sequencing dataset revealed multiple promising candidates for actin depolymerization-induced YAP inactivators and YAP-independent endocrine induction, which have been validated by additional methods.
Published in
Extracellular matrix-driven metabolic control of pancreatic endocrine lineage allocation
Ebeid C, Rump A, Tian C et al. · EMBO reports 2025 · PMID 41145874 · doi:10.1038/s44319-025-00610-6
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 GSE275775_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 PRJNA1152967 and SRA study SRP528927. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly in triplicate
D19 PPs, control, 0hr, ×3 D19 PPs, LatB, 3hr, ×3 D19 PPs, LatB, 6hr, ×3 D19 PPs, LatB, 24hr, ×3 D19 PPs, control, 24hr, ×2 D19 PPs, LatB, 12hr, ×2

Supports a between-group comparison across 16 samples.

How we read this: 6 replicated groups read from 16 sample titles; they account for 16 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
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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.