Australian Chronic Allograft Dysfunction I
RNA-seq (gene expression) · human · 70 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
- 70 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
- 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 GSE248752_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 PRJNA1045703 and SRA study SRP474524. 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 P_1 … P_70 and carry no group information.
- GSM7919442 P_1
- GSM7919443 P_2
- GSM7919444 P_3
- GSM7919445 P_4
- GSM7919446 P_5
- GSM7919447 P_6
- GSM7919448 P_7
- GSM7919449 P_8
- GSM7919450 P_9
- GSM7919451 P_10
- GSM7919452 P_11
- GSM7919453 P_12
- GSM7919454 P_13
- GSM7919455 P_14
- GSM7919456 P_15
- GSM7919457 P_16
- GSM7919458 P_17
- GSM7919459 P_18
- GSM7919460 P_19
- GSM7919461 P_20
- GSM7919462 P_21
- GSM7919463 P_22
- GSM7919464 P_23
- GSM7919465 P_24
- GSM7919466 P_25
- GSM7919467 P_26
- GSM7919468 P_27
- GSM7919469 P_28
- GSM7919470 P_29
- GSM7919471 P_30
- GSM7919472 P_31
- GSM7919473 P_32
- GSM7919474 P_33
- GSM7919475 P_34
- GSM7919476 P_35
- GSM7919477 P_36
- GSM7919478 P_37
- GSM7919479 P_38
- GSM7919480 P_39
- GSM7919481 P_40
+ 30 more — browse all 70 samples with per-sample file links →
- GSE261892 Australian Chronic Allograft Dysfunction III 123 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
- GSE318225 Development of an Optimized Epigenetic Silencer to Transcriptionally Inactivate Viral DNA in Chronic Hepatitis B [RNAseq] 218 samples shares chronic
- GSE336982 Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction 183 samples shares dysfunction
- GSE276114 Integrative proteo-transcriptomic characterization of advanced fibrosis in chronic liver disease across etiologies 177 samples shares chronic
- GSE276755 Systemic and breast chronic inflammation and hormone disposition promote a tumor-permissive environment for breast cancer in older women (Human Bulk RNA-Seq) 168 samples shares chronic
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.