[1] |
Baker, D.J., Childs, B.G., Durik, M. et al. Naturally occurring p16(Ink4a)-positive cells shorten healthy lifespan Nature, 530 (2016),pp. 184-189
|
[2] |
Baker, D.J., Wijshake, T., Tchkonia, T. et al. Clearance of p16Ink4a-positive senescent cells delays ageing-associated disorders Nature, 479 (2011),pp. 232-236
|
[3] |
Beausejour, C.M., Krtolica, A., Galimi, F. et al. Reversal of human cellular senescence: roles of the p53 and p16 pathways EMBO J., 22 (2003),pp. 4212-4222
|
[4] |
Breitling, R., Armengaud, P., Amtmann, A. et al. Rank products: a simple, yet powerful, new method to detect differentially regulated genes in replicated microarray experiments FEBS Lett., 573 (2004),pp. 83-92
|
[5] |
Campisi, J. Aging, cellular senescence, and cancer Annu. Rev. Physiol., 75 (2013),pp. 685-705
|
[6] |
Chang, J., Wang, Y., Shao, L. et al. Clearance of senescent cells by ABT263 rejuvenates aged hematopoietic stem cells in mice Nat. Med., 22 (2016),pp. 78-83
|
[7] |
Cohn, L.D., Becker, B.J. How meta-analysis increases statistical power Psychol. Methods, 8 (2003),pp. 243-253
|
[8] |
Collado, M., Blasco, M.A., Serrano, M. Cellular senescence in cancer and aging Cell, 130 (2007),pp. 223-233
|
[9] |
Coppe, J.P., Patil, C.K., Rodier, F. et al. Senescence-associated secretory phenotypes reveal cell-nonautonomous functions of oncogenic RAS and the p53 tumor suppressor PLoS Biol., 6 (2008),pp. 2853-2868
|
[10] |
de Magalhaes, J.P., Budovsky, A., Lehmann, G. et al. The Human Ageing Genomic Resources: online databases and tools for biogerontologists Aging Cell, 8 (2009),pp. 65-72
|
[11] |
Edgar, R., Domrachev, M., Lash, A.E. Gene Expression Omnibus: NCBI gene expression and hybridization array data repository Nucleic Acids Res., 30 (2002),pp. 207-210
|
[12] |
Fan, T., Jiang, S., Chung, N. et al. EZH2-dependent suppression of a cellular senescence phenotype in melanoma cells by inhibition of p21/CDKN1A expression Mol. Cancer Res., 9 (2011),pp. 418-429
|
[13] |
Gaulton, A., Bellis, L.J., Bento, A.P. et al. ChEMBL: a large-scale bioactivity database for drug discovery Nucleic Acids Res., 40 (2012),pp. D1100-D1107
|
[14] |
Giaimo, S., d'Adda di Fagagna, F. Is cellular senescence an example of antagonistic pleiotropy? Aging Cell, 11 (2012),pp. 378-383
|
[15] |
Harris, M.A., Clark, J., Ireland, A. et al. The Gene Ontology (GO) database and informatics resource Nucleic Acids Res., 32 (2004),pp. D258-D261
|
[16] |
Hayflick, L., Moorhead, P.S. The serial cultivation of human diploid cell strains Exp. Cell Res., 25 (1961),pp. 585-621
|
[17] |
Hedges, L.V., Pigott, T.D. The power of statistical tests in meta-analysis Psychol. Methods, 6 (2001),pp. 203-217
|
[18] |
Hsu, S.D., Tseng, Y.T., Shrestha, S. et al. miRTarBase update 2014: an information resource for experimentally validated miRNA-target interactions Nucleic Acids Res., 42 (2014),pp. D78-D85
|
[19] |
Kozomara, A., Griffiths-Jones, S. miRBase: annotating high confidence microRNAs using deep sequencing data Nucleic Acids Res., 42 (2014),pp. D68-D73
|
[20] |
Lage, K., Karlberg, E.O., Storling, Z.M. et al. A human phenome-interactome network of protein complexes implicated in genetic disorders Nat. Biotechnol., 25 (2007),pp. 309-316
|
[21] |
Lee, H.K., Hsu, A.K., Sajdak, J. et al. Coexpression analysis of human genes across many microarray data sets Genome Res., 14 (2004),pp. 1085-1094
|
[22] |
Leek, J.T., Scharpf, R.B., Bravo, H.C. et al. Tackling the widespread and critical impact of batch effects in high-throughput data Nat. Rev. Genet., 11 (2010),pp. 733-739
|
[23] |
Li, S., Wu, L., Zhang, Z. Constructing biological networks through combined literature mining and microarray analysis: a LMMA approach Bioinformatics, 22 (2006),pp. 2143-2150
|
[24] |
Li, Z., Zhao, Y., Liu, X. et al. LSD 2.0: an update of the leaf senescence database Nucleic Acids Res., 42 (2014),pp. D1200-D1205
|
[25] |
Maglott, D., Ostell, J., Pruitt, K.D. et al. Entrez Gene: gene-centered information at NCBI Nucleic Acids Res., 33 (2005),pp. D54-D58
|
[26] |
Moreau, Y., Tranchevent, L.C. Computational tools for prioritizing candidate genes: boosting disease gene discovery Nat. Rev. Genet., 13 (2012),pp. 523-536
|
[27] |
Munoz-Espin, D., Serrano, M. Cellular senescence: from physiology to pathology Nat. Rev. Mol. Cell Biol., 15 (2014),pp. 482-496
|
[28] |
Overhoff, M.G., Garbe, J.C., Koh, J. et al. Cellular senescence mediated by p16INK4A-coupled miRNA pathways Nucleic Acids Res., 42 (2014),pp. 1606-1618
|
[29] |
Ozgur, A., Xiang, Z., Radev, D.R. et al. Mining of vaccine-associated IFN-gamma gene interaction networks using the Vaccine Ontology J. Biomed. Semant., 2 (2011),p. S8
|
[30] |
Peri, S., Navarro, J.D., Kristiansen, T.Z. et al. Human protein reference database as a discovery resource for proteomics Nucleic Acids Res., 32 (2004),pp. D497-D501
|
[31] |
Rodier, F., Campisi, J. Four faces of cellular senescence J. Cell Biol., 192 (2011),pp. 547-556
|
[32] |
Schmid, P.R., Palmer, N.P., Kohane, I.S. et al. Making sense out of massive data by going beyond differential expression Proc. Natl. Acad. Sci. U. S. A., 109 (2012),pp. 5594-5599
|
[33] |
Schwikowski, B., Uetz, P., Fields, S. A network of protein-protein interactions in yeast Nat. Biotechnol., 18 (2000),pp. 1257-1261
|
[34] |
Stuart, J.M., Segal, E., Koller, D. et al. A gene-coexpression network for global discovery of conserved genetic modules Science, 302 (2003),pp. 249-255
|
[35] |
UniProt, C. UniProt: a hub for protein information Nucleic Acids Res., 43 (2015),pp. D204-D212
|
[36] |
van Deursen, J.M. The role of senescent cells in ageing Nature, 509 (2014),pp. 439-446
|
[37] |
Wishart, D.S., Knox, C., Guo, A.C. et al. Nucleic Acids Res., 34 (2006),pp. D668-D672
|
[38] |
Xiao, F., Zuo, Z., Cai, G. et al. miRecords: an integrated resource for microRNA-target interactions Nucleic Acids Res., 37 (2009),pp. D105-D110
|
[39] |
Yoav Benjamini, Y.H. Controlling the false discovery rate: a practical and powerful approach to multiple testing J. R. Stat. Soc. B, 57 (1995),pp. 289-300
|
[40] |
Ziehm, M., Thornton, J.M. Unlocking the potential of survival data for model organisms through a new database and online analysis platform: SurvCurv Aging Cell, 12 (2013),pp. 910-916
|