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Towards a unifying, systems biology understanding of large-scale cellular death and destruction caused by poorly liganded iron: Parkinson's, Huntington's, Alzheimer's, prions, bactericides, chemical toxicology and others as examplesLessons on longevity from budding yeastIntegration of 'omics' data in aging research: from biomarkers to systems biologyStructure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive reviewThe emerging paradigm of network medicine in the study of human diseaseThe ceramide-activated protein phosphatase Sit4p controls lifespan, mitochondrial function and cell cycle progression by regulating hexokinase 2 phosphorylation.Similar environments but diverse fates: Responses of budding yeast to nutrient deprivationLinking toxicant physiological mode of action with induced gene expression changes in Caenorhabditis elegansFourier analysis and systems identification of the p53 feedback loopAn empirical Bayesian approach for model-based inference of cellular signaling networksGrowth landscape formed by perception and import of glucose in yeastHow to understand the cell by breaking it: network analysis of gene perturbation screensA systems biology model of the regulatory network in Populus leaves reveals interacting regulators and conserved regulation.Reverse-engineering human regulatory networksIdentification of the CRE-1 cellulolytic regulon in Neurospora crassa.Network reconstruction reveals new links between aging and calorie restriction in yeast.A network-based approach on elucidating the multi-faceted nature of chronological aging in S. cerevisiaeComputational biology for ageing.Gene differential coexpression analysis based on biweight correlation and maximum clique.Identification of potential calorie restriction-mimicking yeast mutants with increased mitochondrial respiratory chain and nitric oxide levels.Proteasomes, Sir2, and Hxk2 form an interconnected aging network that impinges on the AMPK/Snf1-regulated transcriptional repressor Mig1.Deteriorated stress response in stationary-phase yeast: Sir2 and Yap1 are essential for Hsf1 activation by heat shock and oxidative stress, respectively.On predicting regulatory genes by analysis of functional networks in C. elegans.Lithocholic acid extends longevity of chronologically aging yeast only if added at certain critical periods of their lifespan.Calorie restriction: is AMPK a key sensor and effector?Identification of the dichotomous role of age-related LCK in calorie restriction revealed by integrative analysis of cDNA microarray and interactomeThe AMPK/SNF1/SnRK1 fuel gauge and energy regulator: structure, function and regulation.Genome-scale studies of aging: challenges and opportunitiesAMPK and HIF signaling pathways regulate both longevity and cancer growth: the good news and the bad news about survival mechanisms.Longevity pathways and maintenance of the proteome: the role of autophagy and mitophagy during yeast ageing.Cell-autonomous mechanisms of chronological aging in the yeast Saccharomyces cerevisiaeAvoiding pitfalls in L1-regularised inference of gene networks.The role of autophagy in the regulation of yeast life span.
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P2860
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 21 January 2009
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
A network biology approach to aging in yeast
@en
A network biology approach to aging in yeast.
@nl
type
label
A network biology approach to aging in yeast
@en
A network biology approach to aging in yeast.
@nl
prefLabel
A network biology approach to aging in yeast
@en
A network biology approach to aging in yeast.
@nl
P2093
P2860
P356
P1476
A network biology approach to aging in yeast
@en
P2093
Charles R Cantor
David R Lorenz
James J Collins
P2860
P304
P356
10.1073/PNAS.0812551106
P407
P577
2009-01-21T00:00:00Z