현재 위치
Home
THE DEVELOPMENT OF NEURAL NETWORK USING BEHAVIOR PATTERNS OF CANCER PREDICTED WITH CELLULAR UNBALANCED FORCE VALUES OBTAINED FROM MECHANOBIOLOGICAL EXPERIMENTAL MODEL; ANTICANCER DRUG RESISTANCE, MORPHOLOGICAL CHANGES, MIGRATION, AND EMT
-
- 발행기관
- 국제과학영재학회 바로가기
-
- 간행물
- APEC Youth Scientist Journal 바로가기
-
- 통권
- Vol. 5 (2013.08)바로가기
-
- 페이지
- pp.80-97
-
- 저자
-
- 언어
- 영어(ENG)
-
- URL
- https://www.earticle.net/Article/A328926
※ 기관로그인 시 무료 이용이 가능합니다.
5,200원
원문정보
초록
- 영어
- In normal cells, cell to cell contact at full cell confluency inhibits cell growth. However, if cell to cell contact is being dissociated, normal cells reach their end of life by the phagocytosis of macrophage via 'programmed cell death', named 'apoptosis'. On the other hand, in cancer cells (especially, cancer stem cells), cell to cell contact can not inhibit cell growth. As a result, cancer stem cells can grow beyond full cell confluency. When cancer cells reach full cell confluency, they either stay at confluence stage or must be made transition from epithelial to mesenchymal form by cadherin switch(antiapoptotic program). These behavioral patterns of cancer stem cells are called "EMT"[2,20]. The underlying causes for such difference have not been known well until now. But this difference is assumed to be occurred by loss of cellular differentiation and coordination of proliferation[5]. As approaching the reason of such disorders with mechano-molecular biology, it was predicted using a mechanobiological model that if cellular unbalanced force is caused between cell to ECM and cell to cell adhesion, the molecular crosstalk is disintegrated between E-cadherin and EGFR Signaling Networks in cell to cell contacts and the attributes such as morphological change of cancer cells, motility, invasion, anticancer drug resistance, etc are acquired, and they were established by experimental method[5]. This study is to report the research results for an idea that the neural network development is a meaningful method of prediction system on cancer behavior patterns through such methods.
목차
ABSTRACT
1. INTRODUCTION
2. MATERIALS AND METHODS
3. RESULTS
4. DISCUSSION
5. CONCLUSION
6. ACKNOWLEDGEMENTS
7. REFERENCES
키워드
mechano-molecular biology cellular unbalanced force cancer behavior patterns neural network.저자
간행물 정보
발행기관
-
- 발행기관명
- 국제과학영재학회 [The Society for the International Gifted in Science]
- 설립연도
- 2006
- 분야
- 자연과학>자연과학일반
- 소개
- 과학영재를 위한 연구 활동을 통하여 과학영재를 발굴하고, 발굴된 과학영재가 과학 분야의 관련 연구 활동을 할 수 있도록 지원하여, 이들이 과학 관련 분야의 진로를 선택하도록 장려함으로써 국제경쟁력을 갖춘 우수 과학기술인을 배출하고 국가 경제발전 및 문화창달과 세계 과학 발전에 기여함을 목적으로 한다.
간행물
-
- 간행물명
- APEC Youth Scientist Journal [APEC 청소년 과학학술지]
- 간기
- 반년간
- pISSN
- 2005-5625
- 수록기간
- 2009~2022
- 십진분류
- KDC 405 DDC 505
이 권호 내 다른 논문 / APEC Youth Scientist Journal Vol. 5
피인용수 : 0건 (자료제공 : 네이버학술정보)
함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.
출처 : 네이버학술정보
0개의 논문이 장바구니에 담겼습니다.