RNA sequencing of CTOT19 transplantation patients, and single-cell RNA sequencing of PBMC with and without LILRB3-4SNPs pretransplant and posttransplant
Single-cell RNA-seq · human · 235 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
- 235 samples: 130 × V vs 77 × baselineLIL vs 2 × PBMCGroups 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
- LILRB3 genetic variation is associated with kidney transplant failure in African American recipientsNature medicine · 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 GSE252274_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 PRJNA1059051 and SRA study SRP480738. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 209 samples.
How we read this: 3 replicated groups read from 235 sample titles; they account for 209 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.
- GSM7998318 VR-0336 V
- GSM7998319 VR-0337 V
- GSM7998320 VR-0339 V
- GSM7998321 VR-0340 V
- GSM7998322 VR-0341 V
- GSM7998323 VR-0342 V
- GSM7998324 VR-0343 V
- GSM7998325 VR-0344 V
- GSM7998326 VR-0349 V
- GSM7998327 VR-0350 V
- GSM7998328 VR-0351 V
- GSM7998329 VR-0352 V
- GSM7998330 VR-0354 V
- GSM7998331 VR-0355 V
- GSM7998332 VR-0357 V
- GSM7998333 VR-0358 V
- GSM7998334 VR-0359 V
- GSM7998335 VR-0360 V
- GSM7998336 VR-0428 V
- GSM7998337 VR-0429 V
- GSM7998338 VR-0430 V
- GSM7998339 VR-0431 V
- GSM7998340 VR-0432 V
- GSM7998341 VR-0433 V
- GSM7998342 VR-0437 V
- GSM7998343 VR-0438 V
- GSM7998344 VR-0439 V
- GSM7998345 VR-0440 V
- GSM7998346 VR-0441 V
- GSM7998347 VR-0442 V
- GSM7998348 VR-0443 V
- GSM7998349 VR-0444 V
- GSM7998350 VR-0445 V
- GSM7998351 VR-0447 V
- GSM7998352 VR-0449 V
- GSM7998353 VR-0450 V
- GSM7998354 VR-0451 V
- GSM7998355 VR-0452 V
- GSM7998356 VR-0453 V
- GSM7998357 VR-0454 V
+ 195 more — browse all 235 samples with per-sample file links →
- GSE252272 RNA sequencing of CTOT19 transplantation patients [bulk RNA-seq] 130 samples shares ctot19, transplantation
- GSE248556 Single-cell transcriptome of PBMC response to Omicron breakthrough infection 45 samples shares pbmc, single-cell
- GSE227835 Single-cell RNA-seq data of human PBMC from Myasthenia Gravis patients 40 samples shares pbmc, single-cell
- GSE244263 Single-cell RNA-seq data of human PBMC from amyotrophic lateral sclerosis patients 40 samples shares pbmc, single-cell
- GSE285335 Single-cell transcriptomic analysis of PBMCs from IgAN patients 26 samples shares pbmc, single-cell
- GSE235512 Gene expression profile at the single-cell level of skin and PBMC samples collected from patients with severe cutaneous adverse drug reactions (SCADR). 14 samples shares pbmc, single-cell
- GSE297652 Single-cell transcriptomic profiles of metastatic lesion biopsies and PBMCs from M1-stage prostate cancer patients 12 samples shares pbmc, single-cell
- GSE291055 PBMC single-cell transcriptome discriminates systemic immune changes associated with metastasis 10 samples shares pbmc, 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.