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Resistance-based exercise restores muscle health in dialysis patients

GSE309619 Homo sapiens (human) RNA-seq (gene expression) 20 samples Submitted 2026/03/18 Platform GPL34284
At a glance

RNA-seq (gene expression) · human · 20 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
20 samples: 20 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
Resistance-based exercise restores muscle health in dialysis patientsJournal of muscle research and cell motility · 2026
Summary (written by the submitters)
Chronic kidney disease (CKD) and end-stage renal disease (ESRD) are serious health concerns worldwide that require regular dialysis before a kidney transplant for a better quality of life. Due to aging and frailty, kidney dialysis patients are often limited in physical activity, which can lead to multiple health complications and sometimes result in patient death.
Read the full summary ↓
Therefore, maintaining muscle health is crucial for kidney dialysis. We recently reported that personalized resistance-based exercise can improve frailty in kidney dialysis patients; however, the underlying molecular mechanisms by which resistance-based exercise improves muscle health are unknown. RNA-Seq analysis revealed that exercise promotes the expression of genes related to muscle stemness, regeneration, and differentiation. The IHC analysis revealed increased protein expression of stemness-associated proteins, including Lamin A/C, 5'-adenosine monophosphate-activated protein kinase (AMPK), paired box 7 (PAX7), vascular cell adhesion molecule 1 (VCAM-1), and Emerin. The IF analysis revealed increased protein expression of muscle differentiation markers, including myoblast determination protein 1 (MyoD), myosin heavy chain (MyoH), myogenin, desmin, dystrophin, and enolase 3. Furthermore, our study demonstrated that exercise upregulated proteins such as mitochondrial encoded cytochrome c oxidase III (MTCO3) and aconitase 2 (ACO2), which are involved in the oxidation of organic compounds and mitochondrial function in muscle. Moreover, we observed that exercise increased the protein expression of glucose transporter protein types 1 and 4 (GLUT1 and GLUT-4), glycogen synthase 1 and 2 (GYS1 and GYS2), and fatty acid binding protein 1 (FABP1), which participate in energy production through glucose uptake, glycogenesis, and fatty acid metabolism, respectively. These results suggest that personalized resistance-based muscle therapy in dialysis patients promotes the expression of genes and proteins associated with muscle stemness, regeneration, differentiation, and energy generation.
Published in
Resistance-based exercise restores muscle health in dialysis patients
Srivastava P, Singh SK, Nair RS et al. · Journal of muscle research and cell motility 2026 · PMID 41831133 · doi:10.1007/s10974-026-09727-0
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE309619_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1336620 and SRA study SRP629980. Searching any of these in the dataset finder brings you back here.

Study design
20 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 20 sample titles: 20 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.

Samples in this study
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