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
Kang Eun-Ju (Functional Genomics Research Center, Korea Research Institute of Bioscience and Biotechnology) Kim Jeong-Min (Functional Genomics Research Center, Korea Research Institute of Bioscience and Biotechnology) Kim Na-Young (Functional Genomics Research Center, Korea Research Institute of Bioscience and Biotechnology) Park Kyung-Mi (Functional Genomics Research Center, Korea Research Institute of Bioscience and Biotechnology) Park Seong-Min (Functional Genomics Research Center, Korea Research Institute of Bioscience and Biotechnology) Kim Nam-Soon (Functional Genomics Research Center, Korea Research Institute of Bioscience and Biotechnology) Yoo Hyang-Sook (Functional Genomics Research Center, Korea Research Institute of Bioscience and Biotechnology) Yeom Young-Il (Functional Genomics Research Center, Korea Research Institute of Bioscience and Biotechnology) Kim Soo-Jung (Functional Genomics Research Center, Korea Research Institute of Bioscience and Biotechnology)
저널정보
한국유전체학회 Genomics & informatics Genomics & informatics 제4권 제2호
발행연도
2006.1
수록면
77 - 79 (3page)

이용수

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

초록· 키워드

오류제보하기
In order to identify novel proapoptotic genes, we screened approximately 1,000 hypothetical genes whose functions are completely unknown. After these genes were transiently expressed in HeLa cells, their nuclei images were captured using automated high-speed fluorescence microscope, through which the ratio of apoptotic nuclei was estimated. We selected genes that induce greater than 3-fold increase in apoptotic nuclei compared to that of the vector control. The candidate proapoptotic genes were sequenced and their effects on cell death were further confirmed by the additional assay, DNA fragmentation ELISA. Finally, we were able to identify 4 full-length hypo-thetical genes with proapoptotic 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