Multiomics identifies unique modulators of calf muscle pathophysiology in peripheral artery disease and chronic kidney disease
RNA-seq (gene expression) · human · 86 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
- 86 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
- Multiomic Analysis of Calf Muscle in Peripheral Artery Disease and Chronic Kidney DiseaseCirculation research · 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 GSE287118_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 PRJNA1211145 and SRA study SRP557631. 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 PAD201 … PAD321 and carry no group information.
- GSM8738982 PAD201
- GSM8738983 PAD203
- GSM8738984 PAD204
- GSM8738985 PAD205
- GSM8738986 PAD206
- GSM8738987 PAD207
- GSM8738988 PAD209
- GSM8738989 PAD210
- GSM8738990 PAD216
- GSM8738991 PAD217
- GSM8738992 PAD218
- GSM8738993 PAD219
- GSM8738994 PAD220
- GSM8738995 PAD221
- GSM8738996 PAD222
- GSM8738997 PAD223
- GSM8738998 PAD224
- GSM8738999 PAD225
- GSM8739000 PAD226
- GSM8739001 PAD227
- GSM8739002 PAD233
- GSM8739003 PAD234
- GSM8739004 PAD236
- GSM8739005 PAD237
- GSM8739006 PAD238
- GSM8739007 PAD239
- GSM8739008 PAD241
- GSM8739009 PAD243
- GSM8739010 PAD244
- GSM8739011 PAD245
- GSM8739012 PAD246
- GSM8739013 PAD247
- GSM8739014 PAD249
- GSM8739015 PAD250
- GSM8739016 PAD253
- GSM8739017 PAD254
- GSM8739018 PAD255
- GSM8739019 PAD256
- GSM8739020 PAD257
- GSM8739021 PAD258
+ 46 more — browse all 86 samples with per-sample file links →
- GSE310095 Whole Blood Transcriptomics Differentiates Circulating Gene Expression Between Coronary Artery Disease and Peripheral Artery Disease 71 samples shares peripheral, artery
- GSE334923 Single-cell RNA-seq atlas of peripheral blood and kidney graft immune cells in chronic antibody-mediated rejection 48 samples shares peripheral, chronic
- GSE319562 Prognostic accuracy of a peripheral blood transcriptome signature in chronic hypersensitivity pneumonitis 37 samples shares peripheral, chronic
- GSE271408 Single-cell RNA-sequencing identifies unique cell-specific gene expression profiles in high-grade cardiac allograft vasculopathy 16 samples shares identifies, unique
- GSE254707 Single-cell transcriptomic analysis identifies infiltrating plasmacytoid dendritic cells in psoriasis epidermis 4988 samples shares identifies
- GSE255685 Age-related transcriptomic differences in peripheral blood of adolescents with major depressive disorder 279 samples shares peripheral
- GSE251778 Sex-specific and multiomic integration enhance accuracy of peripheral blood biomarkers of major depressive disorder [RNA-Seq] 169 samples shares peripheral
- GSE327707 Sorted bulk RNA-seq profiling of human peripheral blood mononuclear cell populations across diverse in vitro immune stimuli 150 samples shares peripheral
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.