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
Yuanyuan Chen (Beihang University) Zhongnan Li (Tsinghua University) Xue Bai (Beihang University) Yanmin Feng (Beihang University) Lin Feng (Beihang University) Deyuan Zhang (Beihang University) Huawei Chen (Beihang University) Haosheng Chen (Tsinghua University)
저널정보
한국바이오칩학회 BioChip Journal BioChip Journal Vol.15 No.1
발행연도
2021.1
수록면
90 - 99 (10page)

이용수

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

초록· 키워드

오류제보하기
Because of the rapid development of precision medicine, single-cell analysis has attracted increasing research attention, especially for erythrocyte, whose potential role in the formation of vascular plaque (atherosclerosis) has emphasized the importance of flow characteristics of single erythrocytes in bionic microfluidics. Based on the high incidence of vascular plaques among the elderly and those who have received blood transfusions, we hypothesized that cell membrane hardening changes the fluid adaptability of individual erythrocytes. This hypothesis was verified using an in vitro microfluidic technique based on an analysis of the flow morphology and cell trajectory of individual cells. A symmetrical microchannel was fabricated with a central stenosis to simulate a blood vessel containing plaque. During flowing through this microchannel, normal erythrocyte predominantly exhibited deforming, rotating, and lifting morphologies, resulting in discontinuous contact with the channel wall and a narrower distribution. Conversely, hardened erythrocytes exhibited rolling, swinging, and tumbling morphologies, resulting in stable and continuous contact with the channel wall and a wider distribution. These results indicate that cell membrane hardening decrease cell fluid adaptability on a microscopic scale. This research can offer some new insights into vascular plaques research from a bio-tribological and mechanical perspectives.

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