Single-cell transcriptome sequencing of macrophages in acute kidney injury(AKI) to chronic kidney dieases(CKD)
Single-cell RNA-seq · mouse · 17 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 17 samples: 17 samples, each with a distinct title — no replicated groupsGroups 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
- CD38(hi) macrophages promote fibrotic transition following acute kidney injury by modulating NAD(+) metabolismMolecular therapy : the journal of the American Society of Gene Therapy · 2025
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE239287_RAW.tar (it can run to tens of gigabytes).
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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA998764 and SRA study SRP451534. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 17 sample titles: 17 distinct titles with little repetition. 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.
- GSM7662640 B-5,uIRI45min,5d,scRNA-seq
- GSM7662641 B-5repeat,uIRI45min,5d,scRNA-seq
- GSM7662642 B-7,uIRI45min,7d,scRNA-seq
- GSM7662643 B-10,uIRI45min,10d,scRNA-seq
- GSM7662644 B-17,uIRI45min,17d,scRNA-seq
- GSM7662645 B-28,uIRI45min,28d,scRNA-seq
- GSM7662646 KM-5,uIRI45min,5d,scRNA-seq
- GSM7662647 KM-7,uIRI45min,7d,scRNA-seq
- GSM7662648 KM-10,uIRI45min,10d,scRNA-seq
- GSM7662649 KM-17,uIRI45min,17d,scRNA-seq
- GSM7662650 KM-28,uIRI45min,28d,scRNA-seq
- GSM7662651 S-5,uIRI45min,5d,scRNA-seq
- GSM7662652 S-5repeat,uIRI45min,5d,scRNA-seq
- GSM7662653 S-7,uIRI45min,7d,scRNA-seq
- GSM7662654 S-10,uIRI45min,10d,scRNA-seq
- GSM7662655 S-17,uIRI45min,17d,scRNA-seq
- GSM7662656 S-28,uIRI45min,28d,scRNA-seq
- GSE329941 Single-cell transcriptomics identifies ergothioneine as a mitochondrial protector to prevent AKI-to-CKD progression 9 samples shares aki, ckd, single-cell
- GSE220691 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI. 22 samples shares aki, single-cell, kidney
- GSE220675 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI [scRNA-seq] 11 samples shares aki, single-cell, kidney
- GSE274819 Single-cell RNA sequencing of murine kidneys for ischemia-reperfusion induced renal injury and fibrosis 10 samples shares single-cell, kidney, injury
- GSE269748 A single-cell atlas deconstructs heterogeneity across multiple models in murine traumatic brain injury and identifies novel cell-specific targets 36 samples shares single-cell, injury
- GSE264278 TIme-cource single-cell RNA-seq analysis of bleomycin and LPS-induced lung injury and fibrosis 18 samples shares single-cell, injury
- GSE249931 Temporal single-cell profiling of distinct mesenchymal, epithelial, endothelial, and immune cell lineages in the lung after injury 17 samples shares single-cell, injury
- GSE276682 Single-cell transcriptome analysis revealed cellular reprogramming following Tetramethylpyrazine treatment in LPS-induced acute lung injury 12 samples shares single-cell, injury
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.