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Entospletinib modulates spatial gene expression in kidney immune microenvironments during injury and repair

GSE299516 Mus musculus (mouse) Spatial transcriptomics 94 samples Submitted 2025/07/07 Platform GPL30172
At a glance

Spatial transcriptomics · mouse · 94 samples

What it is
Spatial transcriptomicsGene activity measured with its position in a tissue section.
Organism
Mus musculus (mouse)
Samples
94 samples: 36 conditions, mostly in duplicateGroups 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
The spleen tyrosine kinase inhibitor entospletinib resolves inflammation to promote repair following acute kidney injuryJCI insight · 2025
Summary (written by the submitters)
Spatial transcriptomic profiling was performed on mouse kidney sections using the NanoString GeoMx Digital Spatial Profiler with the Whole Transcriptome Atlas. Mice were subjected to ischemia-reperfusion injury (IRI) and treated with the SYK inhibitor Entospletinib or vehicle control. Regions of interest were selected from the renal cortex and medulla in two mice per condition at days 1, 7, and 14 post-injury. The dataset captures spatial gene expression dynamics during kidney injury and repair, and the effects of SYK inhibitio
Published in
The spleen tyrosine kinase inhibitor entospletinib resolves inflammation to promote repair following acute kidney injury
Elias EE, Lau A, Belay SG et al. · JCI insight 2025 · PMID 40857403 · doi:10.1172/jci.insight.189601
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 GSE299516_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: Spatial studies usually ship Space Ranger style folders (count matrix plus tissue images). Look for them among the supplementary files.

Also filed as BioProject PRJNA1274891 and SRA study SRP591488. Searching any of these in the dataset finder brings you back here.

Study design
36 conditions, mostly in duplicate
E1-CTRL-C-IBA1 ×2 E1-CTRL-C-PanCK ×2 E1-I1V-C-IBA1 ×2 E1-I1V-C-PanCK ×2 E1-I1E-C-IBA1 ×2 E1-I1E-C-PanCK ×2 E1-I7V-C-IBA1 ×2 E1-I7V-C-PanCK ×2 +50 more

Supports a between-group comparison across 72 samples.

How we read this: 36 replicated groups read from 94 sample titles; they account for 72 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

+ 54 more — browse all 94 samples with per-sample file links →

Datasets on a similar topic

Search all mouse 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.