What this means
Scientists measured proteins in worms with a longer-lived gene change. They then tested some proteins to find new factors affecting lifespan. This shows possible links to longevity, but it is early work in worms.
Plain-English summary written by an AI model from the abstract. The original is below.
- Who it was tested in
- C. elegans worms
- Kind of research
- A study
The science
- Original title
- Comparative Proteomic Quantification Reveals Novel Longevity Regulators.
- Authors
- Ding L, Lin H, Huang C et al.
- Journal
- Proteomics
- Published
- Oct 15, 2026
- Study type
- Study
- PMID
- 42878115 ↗
Abstract
Proteomics is a powerful tool for profiling the protein landscape underlying cellular and physiological processes. Advances in mass spectrometry-based methods, such as tandem mass tags (TMT) isobaric labeling-based proteomics at both MS2 and MS3, label-free quantification (LFQ) with data-dependent acquisition (DDA) or data-independent acquisition (DIA)-based proteomics, and stable isotope labeling with amino acid (SILAC) spike-in-assisted proteomics, enable quantitative proteome comparisons across biological conditions. These five quantitative proteomic methods offer distinct advantages in coverage, throughput, and quantitative reproducibility. Here, we treated them as orthogonal approaches, retaining protein candidates with significant, consistent-direction changes supported across multiple independently instrumented methods to identify high-confidence protein-level changes associated with longevity. Insulin/insulin-like growth factor signaling (IIS) is a highly conserved longevity regulatory pathway from Caenorhabditis elegans to humans. By quantitatively profiling IIS mutants in C. elegans and performing genetic screening, we obtained a systems-view of proteomic changes linked to longevity and identified new longevity regulators. This systematic cross-method comparison also serves as a valuable resource for guiding the selection of quantitative proteomics approaches.
Ding L, Lin H, Huang C et al. Comparative Proteomic Quantification Reveals Novel Longevity Regulators. Proteomics. 2026. doi:10.1002/pmic.70195. PMID: 42878115. https://pubmed.ncbi.nlm.nih.gov/42878115/