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Hnf1a mutation in endocrine pancreas affect cell function and identity

GSE193323 Mus musculus (mouse) RNA-seq (gene expression) 11 samples Submitted 2026/01/29 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 11 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
Mus musculus (mouse)
Samples
11 samples: 7 × WT pancreatic cells vs 4 × Hnf1a flox pancreatic cellsGroups 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.
Summary (written by the submitters)
Purpose: Hnf1a is an important regulator of pancreas development. Mutation in this gene in humans lead to Maturity Onset Diabetes of the Young 3. Previous studies have shown that Hnf1a is important in function of insulin producing cells. However, they have not payed attention to islet cell identity, which we have focused on. Methods: WT mice or mice carrying a floxed version of the Hnf1a gene in all islet endocrine cells controlled by NGN3-cre were maintainted in normal housing condition and glyceamia were monitored twice a week.
Read the full summary ↓
Islet cells were isolated from adult mice of each group and mRNA were extracted before shipping to Qiagen for analysis. Results: Mice carrying the floxed Hnf1a in all endocrine cells were severly hyperglyceamic with alterations in expression of important cell identiy genes.
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 GSE193323_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 PRJNA795792 and SRA study SRP354142. Searching any of these in the dataset finder brings you back here.

Study design
7 × WT pancreatic cells vs 4 × Hnf1a flox pancreatic cells

Supports a between-group comparison across 11 samples.

How we read this: 2 replicated groups read from 11 sample titles; they account for 11 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.