PROTEOMICS· 2026Q1
Comparative Proteomic Quantification Reveals Novel Longevity Regulators
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- 2026year
Short summary
A comparative proteomic analysis using five distinct quantitative methods identified novel regulators of longevity in C. elegans by focusing on proteins with consistent changes across multiple techniques.
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Key points
- Five quantitative proteomic methods (TMT MS2/MS3, LFQ-DDA/DIA, SILAC) were used as orthogonal approaches.
- Protein candidates with consistent, significant changes across multiple methods were retained to identify high-confidence longevity regulators.
- The study focused on the conserved Insulin/IGF signaling (IIS) pathway in C. elegans.
- New longevity regulators were identified through proteomic profiling of IIS mutants and genetic screening.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. PROTEOMICS, 2026 · DOI ↗
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AgingBiochemistry, Genetics and Molecular Biology