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
학술저널
저자정보
Alfaifi, Mohammad Yahya (Biology Department, Faculty of Science, King Khalid University) Saleh, Kamel Ahmed (Biology Department, Faculty of Science, King Khalid University) El-Boushnak, Mohammed Atallah (Biology Department, Faculty of Science, King Khalid University) Elbehairi, Serag Eldin I (Biology Department, Faculty of Science, King Khalid University) Alshehri, Mohammed Ali (Biology Department, Faculty of Science, King Khalid University) Shati, Ali Abdullah (Biology Department, Faculty of Science, King Khalid University)
저널정보
아시아태평양암예방학회 Asian Pacific journal of cancer prevention : APJCP Asian Pacific journal of cancer prevention : APJCP 제17권 제5호
발행연도
2016.1
수록면
2,723 - 2,726 (4page)

이용수

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

초록· 키워드

오류제보하기
Cancer represent one of the most serious health problems and major causes of death around the world. Many anticancer drugs in clinical use today are natural products or derived from natural sources. Withania somnifera (L.) Dunal is a small shrub widely distributed in many parts of the world including Saudi Arabia. The antiproliferative activities of the methanolic extract of W. somnifera leaves collected from Faifa mountains, southwest Saudi Arabia against MCF-7, HCT116 and HepH2 cell lines were investigated. The extract showed a strong antiproliferative activity against all cell lines with $IC_{50}$ values of 3.35, 2.19 and $1.89{\mu}g/ml$, respectively. Flow cytometry results showed that the extract arrested the cell cycle at S phase, and the increase in the caspase 3 activity suggested that the extract could induce cell apoptosis by a caspase mediated pathway. These results demonstrated that the methanolic extract of W. somnifera leaves collected from Faifa mountains has comparable strong antiproliferative activities to samples collected from different locations.

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