Macrophage Heterogeneity in Progression and Regression Phases of Cisplatin Induced AKI Mice Model - A single-cell RNA sequencing study
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.
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 GSE179812_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 PRJNA745158. 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.
- GSM5434501 NS_1: Sham Group rep1 bulkRNA-seq
- GSM5434502 NS_2: Sham Group rep2 bulkRNA-seq
- GSM5434503 NS_3: Sham Group rep3 bulkRNA-seq
- GSM5434504 Cis3d_1: Cis3d Group rep1 bulkRNA-seq
- GSM5434505 Cis3d_2: Cis3d Group rep2 bulkRNA-seq
- GSM5434506 Cis3d_3: Cis3d Group rep3 bulkRNA-seq
- GSM5434507 Cis7d_1: Cis7d Group rep1 bulkRNA-seq
- GSM5434508 Cis7d_2: Cis7d Group rep2 bulkRNA-seq
- GSM5434509 Cis7d_3: Cis7d Group rep3 bulkRNA-seq
- GSM5434510 NS_1: Sham Group rep1 scRNA-seq
- GSM5434511 NS_2: Sham Group rep2 scRNA-seq
- GSM5434512 NS_3: Sham Group rep3 scRNA-seq
- GSM5434513 Cis3d_1: Cis3d Group rep1 scRNA-seq
- GSM5434514 Cis3d_2: Cis3d Group rep2 scRNA-seq
- GSM5434515 Cis7d_1: Cis7d Group rep1 scRNA-seq
- GSM5434516 Cis7d_2: Cis7d Group rep2 scRNA-seq
- GSM5434517 Cis7d_3: Cis7d Group rep3 scRNA-seq
- GSE220691 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI. 22 samples shares aki, heterogeneity, progression, single-cell, macrophage, regression, cisplatin, induced
- GSE220675 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI [scRNA-seq] 11 samples shares aki, heterogeneity, progression, single-cell, 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, progression, single-cell
- GSE295293 Single-cell fixed RNAseq of liver fibrosis progression and regression 9 samples shares progression, single-cell, 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
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.