Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI.
Single-cell RNA-seq · mouse · 22 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
- 22 samples: 4 × Cis3d Group vs 4 × Cis7d Group vs 3 × Sham GroupGroups 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
- Single-cell RNA sequencing reveals the protective role of renal Cx3cr1(+) macrophages in cisplatin-induced acute kidney injuryThe FEBS journal · 2026
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 GSE220691_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 PRJNA911169 and SRA study SRP412419. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 11 samples.
How we read this: 3 replicated groups read from 22 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.
- GSM6808793 Sham Group rep.1 Sham Group
- GSM6808794 Sham Group rep.2 Sham Group
- GSM6808795 Sham Group rep.3 Sham Group
- GSM6808796 Cis3d Group rep.1 Cis3d Group
- GSM6808797 Cis3d Group rep.2 Cis3d Group
- GSM6808798 Cis3d Group rep.3 Cis3d Group
- GSM6808799 Cis3d Group rep.4 Cis3d Group
- GSM6808800 Cis7d Group rep.1 Cis7d Group
- GSM6808801 Cis7d Group rep.2 Cis7d Group
- GSM6808802 Cis7d Group rep.3 Cis7d Group
- GSM6808803 Cis7d Group rep.4 Cis7d Group
- GSM6808804 Sham Group rep.1 [scRNA-seq]
- GSM6808805 Sham Group rep.2 [scRNA-seq]
- GSM6808806 Sham Group rep.3 [scRNA-seq]
- GSM6808807 Cis3d Group rep.1 [scRNA-seq]
- GSM6808808 Cis3d Group rep.2 [scRNA-seq]
- GSM6808809 Cis3d Group rep.3 [scRNA-seq]
- GSM6808810 Cis3d Group rep.4 [scRNA-seq]
- GSM6808811 Cis7d Group rep.1 [scRNA-seq]
- GSM6808812 Cis7d Group rep.2 [scRNA-seq]
- GSM6808813 Cis7d Group rep.3 [scRNA-seq]
- GSM6808814 Cis7d Group rep.4 [scRNA-seq]
- GSE220675 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI [scRNA-seq] 11 samples shares aki, heterogeneity, single-cell, progression, macrophage, regression, cisplatin, induced
- GSE239287 Single-cell transcriptome sequencing of macrophages in acute kidney injury(AKI) to chronic kidney dieases(CKD) 17 samples shares aki, single-cell, macrophage
- GSE329941 Single-cell transcriptomics identifies ergothioneine as a mitochondrial protector to prevent AKI-to-CKD progression 9 samples shares aki, single-cell, progression
- GSE295293 Single-cell fixed RNAseq of liver fibrosis progression and regression 9 samples shares single-cell, progression, regression
- GSE308939 Single-cell RNA-seq reveals the keratinocyte heterogeneity and increased interfollicular basal keratinocytes in wound-induced hair follicle neogenesis 6 samples shares heterogeneity, single-cell, induced
- GSE316023 AI digital pathology as a key tool providing in-depth understanding of the progression and regression of MASH and fibrosis in male mouse models 77 samples shares progression, regression
- GSE309471 Single-cell RNA sequencing of lung cells from bleomycin-induced and doxycycline-inducible TGF-β transgenic mouse models of pulmonary fibrosis 46 samples shares single-cell, induced
- GSE269748 A single-cell atlas deconstructs heterogeneity across multiple models in murine traumatic brain injury and identifies novel cell-specific targets 36 samples shares heterogeneity, single-cell
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.