Extracellular Vesicle miR-1 Delivery from Skeletal Muscle to Adipose Tissue Modifies Lipolytic Pathways in Response to Resistance Exercise in Humans
RNA-seq (gene expression) · human · 12 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
- 12 samples: 12 samples, each with a distinct title — no replicated groupsGroups 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
- Extracellular vesicle transfer of miR-1 to adipose tissue modifies lipolytic pathways following resistance exerciseJCI insight · 2024
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 GSE262576_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 PRJNA1092569 and SRA study SRP498110. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. 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.
- GSM8171915 High miR-1, replicate 1, RNA-seq
- GSM8171916 Low miR-1, replicate 1, RNA-seq
- GSM8171917 High miR-1, replicate 2, RNA-seq
- GSM8171918 High miR-1, replicate 3, RNA-seq
- GSM8171919 Low miR-1, replicate 2, RNA-seq
- GSM8171920 Low miR-1, replicate 3, RNA-seq
- GSM8171921 High miR-1, replicate 4, RNA-seq
- GSM8171922 High miR-1, replicate 5, RNA-seq
- GSM8171923 Low miR-1, replicate 4, RNA-seq
- GSM8171924 Low miR-1, replicate 5, RNA-seq
- GSM8171925 High miR-1, replicate 6, RNA-seq
- GSM8171926 Low miR-1, replicate 6, RNA-seq
- GSE312780 Blood-flow restriction resistance training improves skeletal muscle mitochondrial oxidative capacity and cardiovascular risk factors in type 2 diabetes 34 samples shares resistance, skeletal
- GSE306800 Extracellular matrix-myCAF signatures correlate with resistance to neoadjuvant aPD-L1 immune checkpoint inhibition with durvalumab + metformin in HPV+ HNSCC 18 samples shares extracellular, resistance
- GSE298139 Therapy-resistance in AT/RT is driven by epithelial-mesenchymal transition, extracellular matrix changes, and enrichment of CD1A+ CD207+ dendritic cells [snRNA-seq] 16 samples shares extracellular, resistance
- GSE324642 Canonical and isomiR products of miR-142 enhance dendritic cell reprogramming [bulk RNA-seq] 53 samples shares mir-1
- GSE264237 Age-dependent alterations in the human striatum identify a PPP1R15B-miR-196a node as a modifier of Huntington’s disease phenotypes 30 samples shares mir-1
- GSE231432 HSC-derived exosomal miR-122- 5p inhibits EMT and fibrosis of intrahepatic biliary epithelial cells to alleviate primary biliary cholangitis 24 samples shares mir-1
- GSE297395 Extracellular vesicles and their RNA cargo facilitate bidirectional cross-kingdom communication between human and bacterial cells [RNA-Seq] 105 samples shares extracellular
- GSE208732 Mapping functional to morphological variation reveals the basis of regional extracellular matrix subversion and nerve invasion in pancreatic cancer [RNA-seq] 102 samples shares extracellular
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.