期刊文献+

Microarray Analysis of Ageing-related Signatures and Their Expression in Tumors Based on a Computational Biology Approach 被引量:1

Microarray Analysis of Ageing-related Signatures and Their Expression in Tumors Based on a Computational Biology Approach
原文传递
导出
摘要 Ageing and cancer have been associated with genetic and genomic changes. The identification of common signatures between ageing and cancer can reveal shared molecular mechanisms underlying them. In this study, we collected ageing-related gene signatures from ten pub- lished studies involved in six different human tissues and an online resource. We found that most of these gene signatures were tissue- specific and a few were related to multiple tissues. We performed a genome-wide examination of the expression of these signatures in various human tumor types, and found that a large proportion of these signatures were universally differentially expressed among normal vs. tumor phenotypes. Functional analyses of the highly-overlapping genes between ageing and cancer using DAVID tools have iden- tified important functional categories and pathways linking ageing with cancer. The convergent and divergent mechanisms between age- ing and cancer are discussed. This study provides insights into the biology of ageing and cancer, suggesting the possibility of potential interventions aimed at postponing ageing and preventing cancer. Ageing and cancer have been associated with genetic and genomic changes. The identification of common signatures between ageing and cancer can reveal shared molecular mechanisms underlying them. In this study, we collected ageing-related gene signatures from ten pub- lished studies involved in six different human tissues and an online resource. We found that most of these gene signatures were tissue- specific and a few were related to multiple tissues. We performed a genome-wide examination of the expression of these signatures in various human tumor types, and found that a large proportion of these signatures were universally differentially expressed among normal vs. tumor phenotypes. Functional analyses of the highly-overlapping genes between ageing and cancer using DAVID tools have iden- tified important functional categories and pathways linking ageing with cancer. The convergent and divergent mechanisms between age- ing and cancer are discussed. This study provides insights into the biology of ageing and cancer, suggesting the possibility of potential interventions aimed at postponing ageing and preventing cancer.
出处 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2012年第3期136-141,共6页 基因组蛋白质组与生物信息学报(英文版)
关键词 MICROARRAY Gene expression profiling Ageing-related signatures Tumor BIOINFORMATICS Microarray Gene expression profiling Ageing-related signatures Tumor Bioinformatics
  • 相关文献

参考文献55

  • 1Lu T, Pan Y, Kao SY, Li C, Kohane I, Chan J, et al. Gene regulation and DNA damage in the ageing human brain. Nature 2004;429:883-91.
  • 2Erraji-Benchekroun L, Underwood MD, Arango V, Galfalvy H, Pavlidis P, Smyrniotopoulos P, et al. Molecular aging in human prefrontal cortex is selective and continuous throughout adult life. Biol Psychiatry 2005;57:549-58.
  • 3Fraser HB, Khaitovich P, Plotkin JB, Paabo S, Eisen MB. Aging and gene expression in the primate brain. PLoS Biol 2005;3:e274.
  • 4Segev F, Mor O, Segev A, Belkin M, Assia EI. Downregulation of gene expression in the ageing lens: a possible contributory factor in senile cataract. Eye (Lond) 2005;19:80-5.
  • 5Yoshida S, Yashar BM, Hiriyanna S, Swaroop A. Microarray analysis of gene expression in the aging human retina. Invest Ophthalmol Vis Sci 2002;43:2554-60.
  • 6Hawse JR, Hejtmancik JF, Horwitz J, Kantorow M. Identification and functional clustering of global gene expression differences between age-related cataract and clear human lenses and aged human lenses. Exp Eye Res 2004;79:935-40.
  • 7Hawse JR, Hejtmancik JF, Huang Q, Sheets NL, Hosack DA, Lempicki RA, et al. Identification and functional clustering of global gene expression differences between human age-related cataract and clear lenses. Mol Vis 2003;9:515-37.
  • 8Melk A, Mansfield ES, Hsieh SC, Hernandez-Boussard T, Grimm P, Rayner DC, et al. Transcriptional analysis of the molecular basis of human kidney aging using eDNA microarray profiling. Kidney Int 2005;68:2667-79.
  • 9Rodwell GEJ, Sonu R, Zahn JM, Lund J, Wilhelmy J, Wang L, et al. A transcriptional profile of aging in the human kidney. PLoS Biol 2004;2:e427.
  • 10Welle s, Brooks AI, Delehanty JM, Needler N, Thornton CA. Gene expression profile of aging in human muscle. Physiol Genomics 2003;14:149-59.

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部