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
질문

논문 기본 정보

자료유형
학술저널
저자정보
Kil-Soo Lee (충남대학교) Hosung Sohn (충남대학교) Seung-Sub Lee (충남대학교) Byung Soo Lee (충남대학교) Hwa-Jung Kim (충남대학교) Sung Jae Shin (충남대학교)
저널정보
대한바이러스학회 JOURNAL OF BACTERIOLOGY AND VIROLOGY Journal of Bacteriology and Virology 제38권 제3호
발행연도
2008.9
수록면
109 - 118 (10page)

이용수

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

초록· 키워드

오류제보하기
Mycobacterium abscessus has been identified as an emerging pulmonary pathogen in humans. Previously, it was documented that a spontaneously formed rough variant of M. abscessus causes persistent and invasive infection in mice, while a smooth isogenic variant does not. However, little is known for immune responses elicited by M. abscessus variants artificially induced by culture conditions and their culture filtrate antigens. Thus, morphological variants of M. abscessus type strain (ATCC19977T) were generated by an acidic and low oxygen culture conditions. Overall comparison between the variant and its original smooth strain showed that the rough variant was less virulent than original smooth strain in murine bone-marrow derived macrophage. To understand the basis for the difference, the protein expression pattern in the culture filtrates of each strain was analyzed by 1-dimensional electrophoresis. Generally, the protein expressions were more influenced by pH conditions than oxygen pressures. Interestingly, several proteins, mainly lower than 30 kDa molecular weight, were uniquely expressed in normal culture conditions. In contrast, several high molecular weight proteins (>55 kDa) were induced by acidic and low oxygen culture conditions. These findings not only provide new insights of association between morphological change and the virulence, but may also be useful in the design of immunological diagnosis and vaccines for M. abscessus infection.

목차

서론
재료 및 방법
결과
고찰
참고문헌

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

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0