메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술대회자료
저자정보
Hwang, Eun-Ju (Division cf Biotechnology, Dongshin University) Lee, Sook-Young (Biology Research Center for Industrial Accelerators, Dongshin University)
저널정보
한국응용약물학회 한국응용약물학회 추계학술발표논문집 한국응용약물학회 2003년도 Annual Meeting of KSAP : International Symposium on Pharmaceutical and Biomedical Sciences on Obesity
발행연도
2003.1
수록면
85 - 85 (1page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
This study has been undertaken to increase availability of native camellia in Jeonnam as a medicinal resource and to isolate the effective components from them. Multidrug resistance(MDR) by tumor cells is a major obstacle to successful cancer chemotherapy. We report that the crude extracts of camellia flowers, leaves has a chemosensitizing effect that can reverse Pgp-mediated MDR by increasing the intracellular accumulation of drugs. The cytotoxic and chemosensitizing effects of MeOH extract from 12 spp. citrus fruits on the AML-2/D100 were determined using MTT assay. Chemosensitizing effects was screened in the presence of vincristine, a good substrate of Pgp. IC$\sub$50/ for extracts in AML-2/WT was found to be 65∼350$\mu\textrm{g}$/$m\ell$ whereas the range of its mean IC$\sub$50/ value in Pgp-overexpressing cells (AML-2/Dl00) in the presence of vincristine was 90∼400$\mu\textrm{g}$/$m\ell$. Of the extracts tested, mature leaf extract displayed the most potent chemosensitizing effect[IC$\sub$50/;100 $\mu\textrm{g}$/$m\ell$, CR;1.06, RF;2.97 in the presence of VCR]. This indicates that the toxicity (IC$\sub$50/;288.89$\mu\textrm{g}$/$m\ell$) of mature leaf extract is minimal at concentrations required for a complete reversal of the drug resistance. Also, this result indicates that crude extracts of camellia mature leaves would contain some principles which have chemosensitizing activity.

목차

등록된 정보가 없습니다.

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0