Australian Chronic Allograft Dysfunction III
RNA-seq (gene expression) · human · 123 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
- 123 samples: 88 × nill vs 35 × rejGroups 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
- Decoding the hallmarks of allograft dysfunction with a comprehensive pan-organ transcriptomic atlasNature medicine · 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 GSE261892_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 PRJNA1089520 and SRA study SRP496365. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 123 samples.
How we read this: 2 replicated groups read from 123 sample titles; they account for 123 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.
- GSM8153577 rej_1 rej
- GSM8153578 nill_1 nill
- GSM8153579 rej_2 rej
- GSM8153580 nill_2 nill
- GSM8153581 nill_3 nill
- GSM8153582 nill_4 nill
- GSM8153583 nill_5 nill
- GSM8153584 nill_6 nill
- GSM8153585 nill_7 nill
- GSM8153586 rej_3 rej
- GSM8153587 rej_4 rej
- GSM8153588 rej_5 rej
- GSM8153589 nill_8 nill
- GSM8153590 nill_9 nill
- GSM8153591 rej_6 rej
- GSM8153592 nill_10 nill
- GSM8153593 rej_7 rej
- GSM8153594 nill_11 nill
- GSM8153595 nill_12 nill
- GSM8153596 nill_13 nill
- GSM8153597 nill_14 nill
- GSM8153598 rej_8 rej
- GSM8153599 nill_15 nill
- GSM8153600 nill_16 nill
- GSM8153601 nill_17 nill
- GSM8153602 rej_9 rej
- GSM8153603 rej_10 rej
- GSM8153604 nill_18 nill
- GSM8153605 nill_19 nill
- GSM8153606 nill_20 nill
- GSM8153607 nill_21 nill
- GSM8153608 nill_22 nill
- GSM8153609 nill_23 nill
- GSM8153610 nill_24 nill
- GSM8153611 nill_25 nill
- GSM8153612 nill_26 nill
- GSM8153613 nill_27 nill
- GSM8153614 rej_11 rej
- GSM8153615 nill_28 nill
- GSM8153616 nill_29 nill
+ 83 more — browse all 123 samples with per-sample file links →
- GSE248752 Australian Chronic Allograft Dysfunction I 70 samples shares dysfunction, australian, allograft, chronic
- GSE289881 Exploring fibroblast activation protein as an early biomarker in chronic lung allograft dysfunction 10 samples shares dysfunction, allograft, chronic
- GSE285515 NKG2D blockade impairs cytotoxic CD8+ tissue resident memory T cell accumulation and attenuates severity of chronic lung allograft dysfunction after transplantation 15 samples shares dysfunction, allograft, chronic
- GSE274114 Metabolic dysfunction-associated steatohepatitis reduces interferon and macrophage liver gene signatures in chronic HBV patients 39 samples shares dysfunction, chronic
- GSE333557 RNA Polymerase III inhinition leads to changes in protein coding gene expression 54 samples shares iii
- GSE309841 Integrative tissue analysis of men with prostate cancer VIII 42 samples shares iii
- GSE235161 Mitochondrial NAD+ deficiency in vascular smooth muscle impairs collagen III turnover to trigger thoracic and abdominal aortic aneurysm 42 samples shares iii
- GSE269206 GABARAPs proteins modulate FVIII secretion in molecule-specific manner via energy related pathways 30 samples shares iii
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.