Mapping the genetic architecture of human traits to cell types in the kidney identifies mechanisms of disease and potential treatments [RNA-seq]
Single-cell RNA-seq · human · 68 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 68 samples
- 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.
Read the full summary ↓
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 GSE173343_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 PRJNA725213 and SRA study SRP316393. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 68 more — browse all 68 samples with per-sample file links →
- GSE335924 RNA-seq Identifies FOS as a Potential Therapeutic Target Activating Neural Stem Cells via miR-21/SOX2 Pathway in Hypertensive Intracerebral Hemorrhage 53 samples shares identifies, potential, rna-seq
- GSE334033 A Patient-Derived Xenograft Model Identifies AK1 as a Key Regulator of Metastatic Potential in Primary Triple-Negative Breast Cancer 105 samples shares identifies, potential
- GSE289173 Single-cell eQTL analysis identifies genetic variation underlying metabolic dysfunction-associated steatohepatitis 48 samples shares identifies, genetic
- GSE289574 Multi-omics Analysis of Skeletal Muscle Identifies Dysregulation of Hypoxia-Induced Genes in Peripheral Artery Disease [RNA-seq] 40 samples shares identifies, rna-seq
- GSE337246 Integrated single-cell profiling of RNA and DNA interactomes reveals targetable chromatin architectures in cancer [scRNA-Seq organoids] 35 samples shares architecture, rna-seq
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples shares identifies, rna-seq
- GSE255612 Large-scale Single-nuclei Profiling Identifies Role for ATRNL1 in Atrial Fibrillation [snRNA-seq] 34 samples shares identifies, rna-seq
- GSE316956 A Chemical-Genetic Interaction Matrix Reveals Drug Mechanism and Genetic Architecture 31 samples shares architecture, genetic
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.