Pre transplantation Kidney Biopsies
RNA-seq (gene expression) · human · 303 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
- 303 samples: 185 × Kidney C vs 84 × Kidney B vs 34 × Kidney AGroups 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
- Assessment of biological organ age using molecular pathology in pre-transplant kidney biopsiesKidney international · 2024
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 GSE215108_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 PRJNA888648 and SRA study SRP401717. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 303 samples.
How we read this: 3 replicated groups read from 303 sample titles; they account for 303 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.
- GSM6621790 Kidney A_10 Kidney A
- GSM6621791 Kidney A_11 Kidney A
- GSM6621792 Kidney A_12 Kidney A
- GSM6621793 Kidney A_13 Kidney A
- GSM6621794 Kidney A_15 Kidney A
- GSM6621795 Kidney A_16 Kidney A
- GSM6621796 Kidney A_17 Kidney A
- GSM6621797 Kidney A_18 Kidney A
- GSM6621798 Kidney A_19 Kidney A
- GSM6621799 Kidney A_1 Kidney A
- GSM6621800 Kidney A_20 Kidney A
- GSM6621801 Kidney A_21 Kidney A
- GSM6621802 Kidney A_22 Kidney A
- GSM6621803 Kidney A_23 Kidney A
- GSM6621804 Kidney A_24 Kidney A
- GSM6621805 Kidney A_25 Kidney A
- GSM6621806 Kidney A_26 Kidney A
- GSM6621807 Kidney A_28 Kidney A
- GSM6621808 Kidney A_29 Kidney A
- GSM6621809 Kidney A_2 Kidney A
- GSM6621810 Kidney A_30 Kidney A
- GSM6621811 Kidney A_31 Kidney A
- GSM6621812 Kidney A_34 Kidney A
- GSM6621813 Kidney A_35 Kidney A
- GSM6621814 Kidney A_36 Kidney A
- GSM6621815 Kidney A_37 Kidney A
- GSM6621816 Kidney A_38 Kidney A
- GSM6621817 Kidney A_39 Kidney A
- GSM6621818 Kidney A_40 Kidney A
- GSM6621819 Kidney A_4 Kidney A
- GSM6621820 Kidney A_5 Kidney A
- GSM6621821 Kidney A_6 Kidney A
- GSM6621822 Kidney A_8 Kidney A
- GSM6621823 Kidney A_9 Kidney A
- GSM6621824 Kidney B_10 Kidney B
- GSM6621825 Kidney B_11 Kidney B
- GSM6621826 Kidney B_12 Kidney B
- GSM6621827 Kidney B_13 Kidney B
- GSM6621828 Kidney B_14 Kidney B
- GSM6621829 Kidney B_15 Kidney B
+ 263 more — browse all 303 samples with per-sample file links →
- GSE262793 Integrative transcriptome and proteome profiling of insulin-resistant kidney cell models and patient biopsies reveals common and cell-type-specific mechanisms underpinning Diabetic Kidney Disease 80 samples shares biopsies, kidney
- GSE252274 RNA sequencing of CTOT19 transplantation patients, and single-cell RNA sequencing of PBMC with and without LILRB3-4SNPs pretransplant and posttransplant 235 samples shares transplantation
- GSE319878 Interrogating the mechanistic link between neighborhood deprivation and colorectal cancer risk through gene expression analysis of normal colorectal biopsies 171 samples shares biopsies
- GSE302560 Effect of calcium oxalate microcrystals on kidney proximal tubule epithelial cell gene expression in microgravity 144 samples shares kidney
- GSE312695 Gene expression analysis of non-clear-cell renal cell carcinoma and clear-cell renal cell carcinoma kidney cancers 140 samples shares kidney
- GSE252272 RNA sequencing of CTOT19 transplantation patients [bulk RNA-seq] 130 samples shares transplantation
- GSE311770 Minimally invasive 1 mm skin biopsies capture regional transcriptomic heterogeneity in vitiligo 105 samples shares biopsies
- GSE281797 Transcriptomic profiles of liver biopsies in obese patients with metabolic dysfunction-associated steatotic liver disease 94 samples shares biopsies
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.