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
Chun Sang Hun (성균관대학교) 육지수 (성균관대학교) 엄숭호 (성균관대학교)
저널정보
나노기술연구협의회 Nano Convergence Nano Convergence Vol.5 No.34
발행연도
2018.11
수록면
1 - 12 (12page)
DOI
10.1186/s40580-018-0166-x

이용수

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

초록· 키워드

오류제보하기
Within a cell there are several mechanisms to regulate gene expression during cellular metabolism, growth, and differentiation. If these do not work properly, the cells will die or develop abnormally and, in some cases, even develop into tumors. Thus, a variety of exogenous and endogenous approaches have been developed that act on essential stages of transcription and translation by affecting the regulation of gene expression in an intended manner. To date, some anticancer strategies have focused on targeting abnormally overexpressed genes termed oncogenes, which have lost the ability to tune gene expression. With the rapid advent of nanotechnology, a few synthetic nanomaterials are being used as gene regulation systems. In many cases, these materials have been employed as nanocarriers to deliver key molecules such as silencing RNAs or antisense oligonucleotides into target cells, but some nanomaterials may be able to effectively modulate gene expression due to their characteristic properties, which include tunable physicochemical properties due to their malleable size and shape. This technology has improved the performance of existing approaches for regulating gene expression and led to the development of new types of advanced regulatory systems. In this short review, we will present some nanomaterials currently used in novel gene regulation systems, focusing on their basic features and practical applications. Based on these findings, it is further envisioned that next-generation gene expression regulation systems involving such nanomaterials will be developed.

목차

등록된 정보가 없습니다.

참고문헌 (64)

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