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The single cell landscape of the human vein after arteriovenous fistula creation and implications for maturation failure.

GSE305423 Homo sapiens (human) Single-cell RNA-seq 21 samples Submitted 2025/12/08 Platform GPL34284Platform GPL24676
At a glance

Single-cell RNA-seq · human · 21 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
21 samples: 6 × Pre-access vein vs 6 × Mature AVF vs 6 × Failed AVFGroups 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
The single-cell landscape of the human vein after arteriovenous fistula creation and implications for maturation failureKidney international · 2026
Summary (written by the submitters)
We performed single-cell RNA sequencing of venous samples from 20 patients, including 6 pre-access veins, 2 early AVF resections, and 12 second-stage AVFs that matured (6) or failed (6).
Published in
The single-cell landscape of the human vein after arteriovenous fistula creation and implications for maturation failure
Martinez L, Stoyell-Conti FF, Tabbara M et al. · Kidney international 2026 · PMID 40992573 · doi:10.1016/j.kint.2025.08.024
This dataset
Open GSE305423 in finder → Find more human RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE305423_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA1305510 and SRA study SRP608772. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40992573) ↗
Study design
6 × Pre-access vein vs 6 × Mature AVF vs 6 × Failed AVF

Supports a between-group comparison across 18 samples.

How we read this: 3 replicated groups read from 21 sample titles; they account for 18 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.

Samples in this study
Datasets on a similar topic

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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.