Transcriptomic signature of frailty in elderly patients with cardiovascular disease
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: 43 × J vs 22 × D vs 3 × S vs 2 × KGroups 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
- Transcriptomic Signature of Frailty in Older Patients With Cardiovascular Disease Undergoing Cardiac Surgery or TAVIJournal of cachexia, sarcopenia and muscle · 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 GSE287726_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 PRJNA1214336 and SRA study SRP559206. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 70 samples.
How we read this: 4 replicated groups read from 70 sample titles; they account for 70 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.
- GSM8750354 D-1089 D
- GSM8750355 D-1090 D
- GSM8750356 D-1091 D
- GSM8750357 D-1092 D
- GSM8750358 D-1093 D
- GSM8750359 D-1094 D
- GSM8750360 D-1095 D
- GSM8750361 D-1096 D
- GSM8750362 D-1097 D
- GSM8750363 D-1098 D
- GSM8750364 D-1099 D
- GSM8750365 D-1100 D
- GSM8750366 D-1101 D
- GSM8750367 D-1102 D
- GSM8750368 D-1103 D
- GSM8750369 D-1105 D
- GSM8750370 D-1106 D
- GSM8750371 D-1107 D
- GSM8750372 D-1108 D
- GSM8750373 D-1109 D
- GSM8750374 D-1110 D
- GSM8750375 D-1111 D
- GSM8750376 S-1091 S
- GSM8750377 S-1093 S
- GSM8750378 S-1094 S
- GSM8750379 J-1446 J
- GSM8750380 J-1447 J
- GSM8750381 J-1448 J
- GSM8750382 J-1449 J
- GSM8750383 J-1450 J
- GSM8750384 J-1451 J
- GSM8750385 J-1452 J
- GSM8750386 J-1453 J
- GSM8750387 J-1454 J
- GSM8750388 J-1455 J
- GSM8750389 J-1456 J
- GSM8750390 J-1457 J
- GSM8750391 J-1458 J
- GSM8750392 J-1459 J
- GSM8750393 J-1460 J
+ 30 more — browse all 70 samples with per-sample file links →
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- GSE328391 Airway immune signatures of protection and disease progression in recent human tuberculosis household contacts [bulk RNA-seq] 125 samples shares signature
- GSE269335 Single-cell multimodal profiling of monocytes reveals diverse phenotypes and alterations linked to cardiovascular disease risks 118 samples shares cardiovascular
- GSE290695 Identification of Crohn’s disease subtypes in single cell RNA sequencing signatures of treatment naïve samples across the gastrointestinal tract 95 samples shares signature
- GSE277709 Whole blood transcriptome profile identifies motor neurone disease (MND) RNA biomarker signatures 84 samples shares signature
- GSE281069 Mapping the glial transcriptome in Huntington’s disease using snRNAseq: Selective disruption of glial signatures across brain regions 44 samples shares signature
- GSE327243 A CSF Disease-Associated Macrophage Signature defines Progressive Multiple Sclerosis [Frozen] 25 samples shares signature
- GSE338165 Single-cell analysis identifies monocyte signatures of disease activity and clinical subtypes in Behçet’s disease 22 samples shares signature
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.