SEARCH

SEARCH BY CITATION

References

  • 1
    Herndon LA, Schmeissner PJ, Dudaronek JM et al. Stochastic and genetic factors influence tissue-specific decline in ageing C. elegans. Nature 2002; 419: 80814.
  • 2
    Vijg J, Suh Y. Functional genomics of ageing. Mech Ageing Dev 2003; 124: 38.
  • 3
    Kenyon C. The plasticity of aging: insights from long-lived mutants. Cell 2005; 120: 44960.
  • 4
    Terry DF, Wilcox MA, McCormick MA et al. Lower all-cause, cardiovascular, and cancer mortality in centenarians’ offspring. J Am Geriatr Soc 2004; 52: 20746.
  • 5
    Orwoll ES, Bauer DC, Vogt TM, Fox KM. Axial bone mass in older women. Study of Osteoporotic Fractures Research Group. Ann Intern Med 1996; 124: 18796.
  • 6
    Tatar M. Diet restriction in Drosophila melanogaster. Design and analysis. Interdiscip Top Gerontol 2007; 35: 11536.
  • 7
    Guarente L, Kenyon C. Genetic pathways that regulate ageing in model organisms. Nature 2000; 408: 25562.
  • 8
    Christensen K, Johnson TE, Vaupel JW. The quest for genetic determinants of human longevity: challenges and insights. Nat Rev Genet 2006; 7: 43648.
  • 9
    Heijmans BT, Westendorp RG, Slagboom PE. Common gene variants, mortality and extreme longevity in humans. Exp Gerontol 2000; 35: 86577.
  • 10
    Corder EH, Lannfelt L, Viitanen M et al. Apolipoprotein E genotype determines survival in the oldest old (85 years or older) who have good cognition. Arch Neurol 1996; 53: 41822.
  • 11
    Skytthe A, Pedersen NL, Kaprio J et al. Longevity studies in GenomEUtwin. Twin Res 2003; 6: 44854.
  • 12
    Herskind AM, McGue M, Holm NV, Sorensen TI, Harvald B, Vaupel JW. The heritability of human longevity: a population-based study of 2872 Danish twin pairs born 1870–1900. Hum Genet 1996; 97: 31923.
  • 13
    Perls TT, Bubrick E, Wager CG, Vijg J, Kruglyak L. Siblings of centenarians live longer. Lancet 1998; 351: 1560.
  • 14
    Schoenmaker M, De Craen AJ, De Meijer PH et al. Evidence of genetic enrichment for exceptional survival using a family approach: the Leiden Longevity Study. Eur J Hum Genet 2006; 14: 7984.
  • 15
    Perls TT, Wilmoth J, Levenson R et al. Life-long sustained mortality advantage of siblings of centenarians. Proc Natl Acad Sci U S A 2002; 99: 84427.
  • 16
    Alizadeh AA, Eisen MB, Davis RE et al. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 2000; 403: 50311.
  • 17
    Perou CM, Sorlie T, Eisen MB et al. Molecular portraits of human breast tumours. Nature 2000; 406: 74752.
  • 18
    Baird AE. Blood genomics in human stroke. Stroke 2007; 2(Suppl.): 6948.
  • 19
    Sharp FR, Xu H, Lit L et al. Genomic profiles of stroke in blood. Stroke 2007; 2(Suppl.): 6913.
  • 20
    Achiron A, Gurevich M. Peripheral blood gene expression signature mirrors central nervous system disease: the model of multiple sclerosis. Autoimmun Rev 2006; 5: 51722.
  • 21
    Izuhara K, Saito H. Microarray-based identification of novel biomarkers in asthma. Allergol Int 2006; 55: 3617.
  • 22
    Heller RA, Schena M, Chai A et al. Discovery and analysis of inflammatory disease-related genes using cDNA microarrays. Proc Natl Acad Sci U S A 1997; 94: 21505.
  • 23
    Laprise C, Sladek R, Ponton A, Bernier MC, Hudson TJ, Laviolette M. Functional classes of bronchial mucosa genes that are differentially expressed in asthma. BMC Genomics 2004; 5: 21.
  • 24
    Hauser MA, Li YJ, Xu H et al. Expression profiling of substantia nigra in Parkinson disease, progressive supranuclear palsy, and frontotemporal dementia with parkinsonism. Arch Neurol 2005; 62: 91721.
  • 25
    Nagasaka Y, Dillner K, Ebise H et al. A unique gene expression signature discriminates familial Alzheimer’s disease mutation carriers from their wild-type siblings. Proc Natl Acad Sci U S A 2005; 102: 148549.
  • 26
    Chang JC, Wooten EC, Tsimelzon A et al. Gene expression profiling for the prediction of therapeutic response to docetaxel in patients with breast cancer. Lancet 2003; 362: 3629.
  • 27
    Golub TR, Slonim DK, Tamayo P et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 1999; 286: 5317.
  • 28
    ‘t Veer LJ, Dai H, Van De Vijver MJ et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature 2002; 415: 5306.
  • 29
    Roepman P, Wessels LF, Kettelarij N et al. An expression profile for diagnosis of lymph node metastases from primary head and neck squamous cell carcinomas. Nat Genet 2005; 37: 1826.
  • 30
    Sorlie T, Perou CM, Tibshirani R et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci U S A 2001; 98: 1086974.
  • 31
    Goeman JJ, Van De Geer SA, De Kort F, Van Houwelingen HC. A global test for groups of genes: testing association with a clinical outcome. Bioinformatics 2004; 20: 939.
  • 32
    Michiels S, Koscielny S, Hill C. Interpretation of microarray data in cancer. Br J Cancer 2007; 96: 11558.
  • 33
    Han E, Hilsenbeck SG. Array-based gene expression profiling to study aging. Mech Ageing Dev 2001; 122: 9991018.
  • 34
    Chondrogianni N, De CMS, Franceschi C, Gonos ES. Cloning of differentially expressed genes in skin fibroblasts from centenarians. Biogerontology 2004; 5: 4019.
  • 35
    Chondrogianni N, Petropoulos I, Franceschi C, Friguet B, Gonos ES. Fibroblast cultures from healthy centenarians have an active proteasome. Exp Gerontol 2000; 35: 7218.
  • 36
    Ambra R, Mocchegiani E, Giacconi R et al. Characterization of the hsp70 response in lymphoblasts from aged and centenarian subjects and differential effects of in vitro zinc supplementation. Exp Gerontol 2004; 39: 147584.
  • 37
    Lacelle C, Xu S, Wang E. Identification of high caspase-3 mRNA expression as a unique signature profile for extremely old individuals. Mech Ageing Dev 2002; 123: 113344.
  • 38
    Hofman A, Grobbee DE, De Jong PT, Van Den Ouweland FA. Determinants of disease and disability in the elderly: the Rotterdam Elderly Study. Eur J Epidemiol 1991; 7: 40322.
  • 39
    Dawber TR, Meadors GF, Moore FE Jr. Epidemiological approaches to heart disease: the Framingham Study. Am J Public Health Nations Health 1951; 41: 27981.
  • 40
    Visala RD, Boyle GM, Parsons PG, Watson K, Jones GL. Influence of ageing, heat shock treatment and in vivo total antioxidant status on gene-expression profile and protein synthesis in human peripheral lymphocytes. Mech Ageing Dev 2003; 124: 5569.
  • 41
    Kyng KJ, May A, Kolvraa S, Bohr VA. Gene expression profiling in Werner syndrome closely resembles that of normal aging. Proc Natl Acad Sci U S A 2003; 100: 1225964.
  • 42
    Ly DH, Lockhart DJ, Lerner RA, Schultz PG. Mitotic misregulation and human aging. Science 2000; 287: 248692.
  • 43
    Lu T, Pan Y, Kao SY et al. Gene regulation and DNA damage in the ageing human brain. Nature 2004; 429: 88391.
  • 44
    Erraji-Benchekroun L, Underwood MD, Arango V et al. Molecular aging in human prefrontal cortex is selective and continuous throughout adult life. Biol Psychiatry 2005; 57: 54958.
  • 45
    Welle S, Brooks AI, Delehanty JM et al. Skeletal muscle gene expression profiles in 20–29 year old and 65–71 year old women. Exp Gerontol 2004; 39: 36977.
  • 46
    Csoka AB, English SB, Simkevich CP et al. Genome-scale expression profiling of Hutchinson-Gilford progeria syndrome reveals widespread transcriptional misregulation leading to mesodermal/mesenchymal defects and accelerated atherosclerosis. Aging Cell 2004; 3: 23543.
  • 47
    Zahn JM, Sonu R, Vogel H et al. Transcriptional profiling of aging in human muscle reveals a common aging signature. PLoS Genet 2006; 2: e115.
  • 48
    Rodwell GE, Sonu R, Zahn JM et al. A transcriptional profile of aging in the human kidney. PLoS Biol 2004; 2: e427.
  • 49
    Welle S, Brooks AI, Delehanty JM, Needler N, Thornton CA. Gene expression profile of aging in human muscle. Physiol Genomics 2003; 14: 14959.
  • 50
    Kyng KJ, Bohr VA. Gene expression and DNA repair in progeroid syndromes and human aging. Ageing Res Rev 2005; 4: 579602.
  • 51
    Cao SX, Dhahbi JM, Mote PL, Spindler SR. Genomic profiling of short- and long-term caloric restriction effects in the liver of aging mice. Proc Natl Acad Sci U S A 2001; 98: 106305.
  • 52
    Lee CK, Allison DB, Brand J, Weindruch R, Prolla TA. Transcriptional profiles associated with aging and middle age-onset caloric restriction in mouse hearts. Proc Natl Acad Sci U S A 2002; 99: 1498893.
  • 53
    Lee CK, Weindruch R, Prolla TA. Gene-expression profile of the ageing brain in mice. Nat Genet 2000; 25: 2947.
  • 54
    Lee CK, Klopp RG, Weindruch R, Prolla TA. Gene expression profile of aging and its retardation by caloric restriction. Science 1999; 285: 13903.
  • 55
    McCarroll SA, Murphy CT, Zou S et al. Comparing genomic expression patterns across species identifies shared transcriptional profile in aging. Nat Genet 2004; 36: 197204.
  • 56
    Lai CQ, Parnell LD, Lyman RF, Ordovas JM, Mackay TF. Candidate genes affecting Drosophila life span identified by integrating microarray gene expression analysis and QTL mapping. Mech Ageing Dev 2007; 128: 23749.
  • 57
    Girardot F, Lasbleiz C, Monnier V, Tricoire H. Specific age-related signatures in Drosophila body parts transcriptome. BMC Genomics 2006; 7: 69.
  • 58
    Sreekumar R, Unnikrishnan J, Fu A et al. Effects of caloric restriction on mitochondrial function and gene transcripts in rat muscle. Am J Physiol Endocrinol Metab 2002; 283: E3843.
  • 59
    Qiu H, Tian B, Resuello RG et al. Sex-specific regulation of gene expression in the aging monkey aorta. Physiol Genomics 2007; 29: 16980.
  • 60
    Kayo T, Allison DB, Weindruch R, Prolla TA. Influences of aging and caloric restriction on the transcriptional profile of skeletal muscle from rhesus monkeys. Proc Natl Acad Sci U S A 2001; 98: 50938.
  • 61
    Tower J. Sex-specific regulation of aging and apoptosis. Mech Ageing Dev 2006; 127: 70518.
  • 62
    McElwee JJ, Schuster E, Blanc E et al. Evolutionary conservation of regulated longevity assurance mechanisms. Genome Biol 2007; 8: R132.
  • 63
    Allison DB, Cui X, Page GP, Sabripour M. Microarray data analysis: from disarray to consolidation and consensus. Nat Rev Genet 2006; 7: 5565.
  • 64
    Pawitan Y, Michiels S, Koscielny S, Gusnanto A, Ploner A. False discovery rate, sensitivity and sample size for microarray studies. Bioinformatics 2005; 21: 301724.
  • 65
    Dobbin K, Simon R. Sample size determination in microarray experiments for class comparison and prognostic classification. Biostatistics 2005; 6: 2738.
  • 66
    Garge NR, Page GP, Sprague AP, Gorman BS, Allison DB. Reproducible clusters from microarray research: whither? BMC Bioinformatics 2005; 6(Suppl. 2): S10.
  • 67
    Sullivan PF, Fan C, Perou CM. Evaluating the comparability of gene expression in blood and brain. Am J Med Genet B Neuropsychiatr Genet 2006; 141: 2618.
  • 68
    Van Baarsen LG, Van Der Pouw Kraan TC, Kragt JJ et al. A subtype of multiple sclerosis defined by an activated immune defense program. Genes Immun 2006; 7: 52231.
  • 69
    Fjaerli HO, Bukholm G, Krog A, Skjaeret C, Holden M, Nakstad B. Whole blood gene expression in infants with respiratory syncytial virus bronchiolitis. BMC Infect Dis 2006; 6: 175.
  • 70
    Sharp FR, Xu H, Lit L et al. The future of genomic profiling of neurological diseases using blood. Arch Neurol 2006; 63: 152936.
  • 71
    Borovecki F, Lovrecic L, Zhou J et al. Genome-wide expression profiling of human blood reveals biomarkers for Huntington’s disease. Proc Natl Acad Sci U S A 2005; 102: 110238.
  • 72
    Batliwalla FM, Li W, Ritchlin CT et al. Microarray analyses of peripheral blood cells identifies unique gene expression signature in psoriatic arthritis. Mol Med 2005; 11: 219.
  • 73
    Tang Y, Xu H, Du X et al. Gene expression in blood changes rapidly in neutrophils and monocytes after ischemic stroke in humans: a microarray study. J Cereb Blood Flow Metab 2006; 26: 1089102.
  • 74
    Tang Y, Gilbert DL, Glauser TA, Hershey AD, Sharp FR. Blood gene expression profiling of neurologic diseases: a pilot microarray study. Arch Neurol 2005; 62: 2105.
  • 75
    Fraga MF, Ballestar E, Paz MF et al. Epigenetic differences arise during the lifetime of monozygotic twins. Proc Natl Acad Sci U S A 2005; 102: 106049.
  • 76
    Sharma A, Sharma VK, Horn-Saban S, Lancet D, Ramachandran S, Brahmachari SK. Assessing natural variations in gene expression in humans by comparing with monozygotic twins using microarrays. Physiol Genomics 2005; 21: 11723.
  • 77
    Tan Q, Christensen K, Christiansen L et al. Genetic dissection of gene expression observed in whole blood samples of elderly Danish twins. Hum Genet 2005; 117: 26774.
  • 78
    Whitney AR, Diehn M, Popper SJ et al. Individuality and variation in gene expression patterns in human blood. Proc Natl Acad Sci U S A 2003; 100: 1896901.
  • 79
    Palmer C, Diehn M, Alizadeh AA, Brown PO. Cell-type specific gene expression profiles of leukocytes in human peripheral blood. BMC Genomics 2006; 7: 115.
  • 80
    Tang Y, Lu A, Ran R et al. Human blood genomics: distinct profiles for gender, age and neurofibromatosis type 1. Brain Res Mol Brain Res 2004; 132: 15567.
  • 81
    Barzilai N, Gabriely I, Gabriely M, Iankowitz N, Sorkin JD. Offspring of centenarians have a favorable lipid profile. J Am Geriatr Soc 2001; 49: 769.
  • 82
    Heijmans BT, Beekman M, Houwing-Duistermaat JJ et al. Lipoprotein particle profiles mark familial and sporadic human longevity. PLoS Med 2006; 3: e495.
  • 83
    Lagaay AM, Van Asperen IA, Hijmans W. The prevalence of morbidity in the oldest old, aged 85 and over: a population-based survey in Leiden, The Netherlands. Arch Gerontol Geriatr 1992; 15: 11531.
  • 84
    Huang H, Manton KG. The role of oxidative damage in mitochondria during aging: a review. Front Biosci 2004; 9: 110017.
  • 85
    Lopez-Lluch G, Hunt N, Jones B et al. Calorie restriction induces mitochondrial biogenesis and bioenergetic efficiency. Proc Natl Acad Sci U S A 2006; 103: 176873.
  • 86
    Hayes JD, Flanagan JU, Jowsey IR. Glutathione transferases. Annu Rev Pharmacol Toxicol 2005; 45: 5188.