Comparative single-cell analyses identify shared and divergent features of human and mouse kidney development
Single-cell RNA-seq · human · 36 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Homo sapiens (human)
- Samples
- 36 samples: 5 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
- Dmrt2 and Hmx2 direct intercalated cell diversity in the mammalian kidney through antagonistic and supporting regulatory processesProceedings of the National Academy of Sciences of the United States of America · 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 GSE232482_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 PRJNA972292 and SRA study SRP437542. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 19 samples.
How we read this: 5 replicated groups read from 36 sample titles; they account for 19 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.
- GSM7337007 10.6 Wk human fetal, snATAC-seq, rep M1
- GSM7337008 11.1 Wk human fetal, snATAC-seq, rep M2
- GSM7337009 11.6 Wk human fetal, snATAC-seq, rep M3
- GSM7337010 11.3 Wk human fetal, snATAC-seq, rep F1
- GSM7337011 11.2 Wk human fetal, snATAC-seq, rep F2
- GSM7337012 17.1 Wk human fetal, snATAC-seq, rep M4
- GSM7337013 17.5 Wk human fetal, snATAC-seq, rep M5
- GSM7337014 17.1 Wk human fetal, snATAC-seq, rep F3
- GSM7337015 17.6 Wk human fetal, snATAC-seq, rep F4
- GSM7337016 10.6 Wk human fetal, snRNA-seq, rep M1
- GSM7337017 11.1 Wk human fetal, snRNA-seq, rep M2
- GSM7337018 11.6 Wk human fetal, snRNA-seq, rep M3
- GSM7337019 11.3 Wk human fetal, snRNA-seq, rep F1
- GSM7337020 15.6 Wk human fetal, snRNA-seq, rep F2 15.6 Wk human fetal, sn…
- GSM7337021 15.6 Wk human fetal, snRNA-seq, rep F3 15.6 Wk human fetal, sn…
- GSM7337022 17.1 Wk human fetal, snRNA-seq, rep M4
- GSM7337023 17.5 Wk human fetal, snRNA-seq, rep M5
- GSM7337024 17.1 Wk human fetal, snRNA-seq, rep F5
- GSM7337025 17.6 Wk human fetal, snRNA-seq, rep F6
- GSM7337026 P0 mouse, snATAC-seq, rep F1 P0 mouse, snATAC-seq, r…
- GSM7337027 P0 mouse, snATAC-seq, rep F2 P0 mouse, snATAC-seq, r…
- GSM7337028 P0 mouse, snATAC-seq, rep M1 P0 mouse, snATAC-seq, r…
- GSM7337029 P0 mouse, snATAC-seq, rep M2 P0 mouse, snATAC-seq, r…
- GSM7337030 P0 mouse, scRNA-seq, rep F1 P0 mouse, scRNA-seq, re…
- GSM7337031 P0 mouse, scRNA-seq, rep F2 P0 mouse, scRNA-seq, re…
- GSM7337032 P0 mouse, scRNA-seq, rep F3 P0 mouse, scRNA-seq, re…
- GSM7337033 P0 mouse, scRNA-seq, rep M4 P0 mouse, scRNA-seq, re…
- GSM7337034 P0 mouse, scRNA-seq, rep M5 P0 mouse, scRNA-seq, re…
- GSM7337035 P0 mouse, scRNA-seq, rep M6 P0 mouse, scRNA-seq, re…
- GSM7337036 P0 mouse, scRNA-seq, rep M7 P0 mouse, scRNA-seq, re…
- GSM7337037 P0 mouse, scRNA-seq, rep F4 P0 mouse, scRNA-seq, re…
- GSM7337038 P0 mouse, scRNA-seq, rep F5 P0 mouse, scRNA-seq, re…
- GSM7337039 P0 mouse, scRNA-seq, rep F6 P0 mouse, scRNA-seq, re…
- GSM7337040 P0 mouse, scRNA-seq, rep M8 P0 mouse, scRNA-seq, re…
- GSM7337041 P0 mouse, scRNA-seq, rep M9 P0 mouse, scRNA-seq, re…
- GSM7337042 P0 mouse, scRNA-seq, rep M10 P0 mouse, scRNA-seq, re…
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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.