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Lactate facilitates pancreatic repair following acute pancreatitis by promoting reparative macrophage polarization

GSE297476 Mus musculus (mouse) RNA-seq (gene expression) 28 samples Submitted 2025/05/22 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 28 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
28 samples
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
Lactate Facilitates Pancreatic Repair Following Acute Pancreatitis by Promoting Reparative Macrophage PolarizationCellular and molecular gastroenterology and hepatology · 2025
Summary (written by the submitters)
Based on the role of lactate in mitigating inflammation during acute pancreatitis (AP) repair, we focused on macrophages, as previous studies have highlighted their essential role in pancreatic tissue repair following AP. To investigate the relationship between lactate and the phenotype and function of macrophages during the recovery phase after AP, we performed high-throughput mRNA sequencing on macrophages isolated from the pancreatic tissues of C57BL/6J wild-type mice, which were administered lactate or PBS following induction of a recovery AP model.
Published in
Lactate Facilitates Pancreatic Repair Following Acute Pancreatitis by Promoting Reparative Macrophage Polarization
Jiang J, Wang R, Song P et al. · Cellular and molecular gastroenterology and hepatology 2025 · PMID 40350150 · doi:10.1016/j.jcmgh.2025.101535
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 GSE297476_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 PRJNA1264967 and SRA study SRP586211. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 28 more — browse all 28 samples with per-sample file links →

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