Clazakizumab treatment effects on peripheral blood and kidney transcriptomes in chronic antibody-mediated rejection
RNA-seq (gene expression) · human · 58 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
- 58 samples: 18 conditions, mostly in duplicateGroups 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 Effects of Clazakizumab on Peripheral Blood and Kidney Transcriptomes in Patients With Late Antibody-Mediated RejectionKidney international reports · 2025
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 GSE287697_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 PRJNA1214260 and SRA study SRP559103. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 36 samples.
How we read this: 18 replicated groups read from 58 sample titles; they account for 36 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.
- GSM8750009 01_001_pre
- GSM8750010 01_001_week12
- GSM8750011 01_002_pre
- GSM8750012 01_002_week12 01_002_week
- GSM8750013 01_002_week52 01_002_week
- GSM8750014 01_003_pre
- GSM8750015 01_003_week12 01_003_week
- GSM8750016 01_003_week52 01_003_week
- GSM8750017 01_004_pre
- GSM8750018 01_004_week12 01_004_week
- GSM8750019 01_004_week52 01_004_week
- GSM8750020 01_005_pre
- GSM8750021 01_005_week12 01_005_week
- GSM8750022 01_005_week52 01_005_week
- GSM8750023 01_008_pre
- GSM8750024 01_008_week12 01_008_week
- GSM8750025 01_008_week52 01_008_week
- GSM8750026 01_009_pre
- GSM8750027 01_009_week12 01_009_week
- GSM8750028 01_009_week52 01_009_week
- GSM8750029 01_010_pre
- GSM8750030 01_010_week12 01_010_week
- GSM8750031 01_010_week52 01_010_week
- GSM8750032 01_011_pre
- GSM8750033 01_011_week12 01_011_week
- GSM8750034 01_011_week52 01_011_week
- GSM8750035 01_012_pre
- GSM8750036 01_012_week12 01_012_week
- GSM8750037 01_012_week52 01_012_week
- GSM8750038 01_013_pre
- GSM8750039 01_013_week12 01_013_week
- GSM8750040 01_013_week52 01_013_week
- GSM8750041 01_014_pre
- GSM8750042 01_014_week12 01_014_week
- GSM8750043 01_014_week52 01_014_week
- GSM8750044 01_015_pre
- GSM8750045 01_015_week12 01_015_week
- GSM8750046 01_015_week52 01_015_week
- GSM8750047 01_016_pre
- GSM8750048 01_016_week12 01_016_week
+ 18 more — browse all 58 samples with per-sample file links →
- GSE334923 Single-cell RNA-seq atlas of peripheral blood and kidney graft immune cells in chronic antibody-mediated rejection 48 samples shares antibody-mediated, peripheral, rejection, chronic, kidney
- GSE287118 Multiomics identifies unique modulators of calf muscle pathophysiology in peripheral artery disease and chronic kidney disease 86 samples shares peripheral, chronic, kidney
- GSE267097 Pre-Treatment peripheral Immune composition can accurately predict CAR-T outcomes in patients with Large B-Cell Lymphoma 49 samples shares peripheral, treatment
- GSE319562 Prognostic accuracy of a peripheral blood transcriptome signature in chronic hypersensitivity pneumonitis 37 samples shares peripheral, chronic
- GSE322527 Single-cell transcriptomes and T cell receptor sequences of CD4 or CD8 single positive T lymphocytes from peripheral blood or urine of lupus nephritis patients at flare. 26 samples shares transcriptomes, peripheral
- GSE193525 TTFields plus TMZ treatment effects on newly diagnosed Glioblastoma patients in peripheral blood 24 samples shares peripheral, treatment
- GSE296867 Post-treatment peripheral-blood T cells from HNSCC patients undergoing neoadjuvant immunotherapy treatment. 22 samples shares peripheral, treatment
- GSE327102 Transcriptomic profiling of peripheral blood from myasthenia gravis patients before and after efgartigimod treatment 20 samples shares peripheral, treatment
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.