Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Shortest-path network analysis is a useful approach toward identifying genetic determinants of longevity.

PloS one - 1 Jan 2008

Managbanag J R, Witten Tarynn M, Bonchev Danail, Fox Lindsay A, Tsuchiya Mitsuhiro, Kennedy Brian K, Kaeberlein Matt

Abstract excerpt

BACKGROUND: Identification of genes that modulate longevity is a major focus of aging-related research and an area of intense public interest. In addition to facilitating an improved understanding of the basic mechanisms of aging, such genes represent potential targets for therapeutic interventio...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Algorithms
Share to Cell Physiological Phenomena
Share to Diet

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Regulatory Networks

Share to Genes, Fungal

Share to Mutation

Share to Saccharomyces cerevisiae

Source

Open in PubMed Open full text

Identifiers

PMID: 19030232
DOI: 10.1371/journal.pone.0003802
PMCID: PMC2583956

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-19030232-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Shortest-path network analysis is a useful approach toward identifying genetic determinants of longevity.PMID 19030232Read ↗

Inferring Gene Regulatory Network Architecture Underlying Complex Traits: An Integrative Analysis of Mutant Lifespan and Gene Expression Profiles Identifies Master Regulators and Key Functional Modules for Yeast Aging.Semantic proximity Read ↗

Deciphering hallmark processes of aging from interaction networks.Semantic proximity Read ↗

Estimating network changes from lifespan measurements using a parsimonious gene network model of cellular aging.Semantic proximity Read ↗

The molecular landscape of premature aging diseases defined by multilayer network explorationSemantic proximity Read ↗

Genome-wide analysis of yeast aging.Semantic proximity Read ↗

Dissecting the gene network of dietary restriction to identify evolutionarily conserved pathways and new functional genes.Semantic proximity Read ↗

An optimized competitive-aging method reveals gene-drug interactions underlying the chronological lifespan of <i>Saccharomyces cerevisiae</i>Semantic proximity Read ↗

Gene-nutrient interaction markedly influences yeast chronological lifespan.Semantic proximity Read ↗

Genetic evidence for common pathways in human age-related diseases.Semantic proximity Read ↗

Molecular Mechanisms of Genotype-Dependent Lifespan Variation Mediated by Caloric Restriction: Insight from Wild Yeast IsolatesSemantic proximity Read ↗

Cross-species functional modules link proteostasis to human normal agingSemantic proximity Read ↗

Extension of chronological life span in yeast by decreased TOR pathway signaling.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.