Global analysis of transcriptional changes in human cancer using the gene coexpression network = 유전자 발현 네트워크를 이용한 암에서의 전사 변화 연구

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 293
  • Download : 0
With recent interest in biological networks, the gene coexpression network has emerged as a novel holistic approach for microarray analysis. The recent availability of large amount of microarray data on human cancer allowed us to collect 10 tumor-normal datasets spanning 13 tissue origins. To explore tissue-wide coexpression pattern, we integrated these datasets by employing meta-analytic methods, which had proved to be reliable and robust against noises of microarray data in previous differential expression studies. We constructed two distinct coexpression networks whose edges connected genes consistently coexpressed over tumor and normal samples respectively. The comparison of the two networks revealed that cancer induces many significant changes in coexpression relationships. We observed increased coexpressions among genes involved in the cell cycle and DNA/RNA/protein synthesis, and decreased coexpressions among genes involved in the signal transduction, mitochondrial energy metabolism, and plasma membrane functions. In addition, it was suggested that the aberrant coexpression of ubiquitin ligases and associated cell-cycle regulators would contribute to tumor development, regardless of cancer type.
Advisors
Yoo, Ook-Joonresearcher유욱준researcher
Description
한국과학기술원 : 생명과학과,
Publisher
한국과학기술원
Issue Date
2004
Identifier
240575/325007  / 020005333
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 생명과학과, 2004.8, [ v, 92 p. ]

Keywords

UNC-51 KINASE; GENE COEXPRESSION NETWORKINASE; HUMAN CANCER; MICROARRAY; PDK1; PDK1; UNC-51 키나아제; 유전자 발현 네트워크 키나아제; 암; 마이크로어레이

URI
http://hdl.handle.net/10203/27573
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=240575&flag=dissertation
Appears in Collection
BS-Theses_Ph.D.(박사논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0