eScholarship
metadata only
Temporal dynamics of the multi-omic response to endurance exercise training
Regular exercise promotes whole-body health and prevents disease, but the underlying molecular mechanisms are incompletely understood1–3. Here, the Molecular Transducers of Physical Activity Consortium4 profiled the temporal transcriptome, proteome, metabolome, lipidome, phosphoproteome, acetylprote
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Causally-anchored multi-omic deep learning recovers exercise-responsive and ageing-causal genes from human physical activity#390878
- Conserved multi-tissue transcriptomic adaptations to exercise training in humans and mice#492038
- Exercise and high-fat feeding remodel transcript-metabolite interactive networks in mouse skeletal muscle#491816
- Extracellular vesicles and their miRNA cargo in response to physical exercise: potential involvement in oxidative stress regulation – Insights from the HEBE Study#476166
- Musculoskeletal Plasticity After Spinal Cord Injury#889164
Record · ID 780565
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive