RNA sequencing of CTOT19 transplantation patients [bulk RNA-seq]
RNA-seq (gene expression) · human · 130 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 130 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.
- 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 GSE252272_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1059145 and SRA study SRP480738. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run VR-0336 … VR-0850 and carry no group information.
- GSM7998318 VR-0336
- GSM7998319 VR-0337
- GSM7998320 VR-0339
- GSM7998321 VR-0340
- GSM7998322 VR-0341
- GSM7998323 VR-0342
- GSM7998324 VR-0343
- GSM7998325 VR-0344
- GSM7998326 VR-0349
- GSM7998327 VR-0350
- GSM7998328 VR-0351
- GSM7998329 VR-0352
- GSM7998330 VR-0354
- GSM7998331 VR-0355
- GSM7998332 VR-0357
- GSM7998333 VR-0358
- GSM7998334 VR-0359
- GSM7998335 VR-0360
- GSM7998336 VR-0428
- GSM7998337 VR-0429
- GSM7998338 VR-0430
- GSM7998339 VR-0431
- GSM7998340 VR-0432
- GSM7998341 VR-0433
- GSM7998342 VR-0437
- GSM7998343 VR-0438
- GSM7998344 VR-0439
- GSM7998345 VR-0440
- GSM7998346 VR-0441
- GSM7998347 VR-0442
- GSM7998348 VR-0443
- GSM7998349 VR-0444
- GSM7998350 VR-0445
- GSM7998351 VR-0447
- GSM7998352 VR-0449
- GSM7998353 VR-0450
- GSM7998354 VR-0451
- GSM7998355 VR-0452
- GSM7998356 VR-0453
- GSM7998357 VR-0454
+ 90 more — browse all 130 samples with per-sample file links →
- GSE297742 Bulk RNA-seq of primary tumor biopsy samples from prostate adenocarcinoma patients 234 samples shares rna-seq, bulk
- GSE205154 Bulk RNA-Seq gene expression data for 289 primary and metastatic pancreatic ductal adenocarcinoma (PDAC) tumor samples from FFPE blocks. 289 samples shares rna-seq, bulk
- GSE327707 Sorted bulk RNA-seq profiling of human peripheral blood mononuclear cell populations across diverse in vitro immune stimuli 150 samples shares rna-seq, bulk
- GSE327166 Bulk RNA-seq profiling of pleural mesothelioma and comparator pleural specimens 89 samples shares rna-seq, bulk
- GSE309941 Immunometabolic Endotypes Define Distinct Clinical Trajectories in Type 2 Diabetes [bulk RNA-seq] 42 samples shares rna-seq, bulk
- GSE283079 Bulk RNA-seq of human knee osteoarthritis synovium 41 samples shares rna-seq, bulk
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples shares rna-seq, bulk
- GSE317207 Transcriptomic profiling of human hepatocellular carcinoma biopsy samples using bulk RNA-seq 33 samples shares rna-seq, bulk
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.