論文

査読有り
2013年2月

Time-course proteomic profile of Candida albicans during adaptation to a fetal serum

PATHOGENS AND DISEASE
  • Wataru Aoki
  • ,
  • Tomomi Ueda
  • ,
  • Yohei Tatsukami
  • ,
  • Nao Kitahara
  • ,
  • Hironobu Morisaka
  • ,
  • Kouichi Kuroda
  • ,
  • Mitsuyoshi Ueda

67
1
開始ページ
67
終了ページ
75
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1111/2049-632X.12003
出版者・発行元
WILEY-BLACKWELL

Candida albicans is a commensal organism; however, it causes fatal diseases if the host immunity is compromised. The mortality rate is very high due to the lack of effective treatment, leading to ceaseless demand for novel pharmaceuticals. In this study, time-course proteomics of C. albicans during adaptation to fetal bovine serum (FBS) was described. Time-course proteomics is a promising way to understand the exact process of going adaptation in dynamically changing environments. Candida albicans was cultivated in yeast nitrogen base (YNB) +/- FBS media, and we identified 1418 proteins in the endpoint samples incubated for 0 or 60 min by a LC-MS/MS system with a long monolithic silica capillary column. Next, we carried out time-course proteomics of the YNB + FBS samples to identify top-priority proteins for adaption to FBS. We identified 16 proteins as nascent/newly synthesized proteins, and they were recognized as candidates of important virulent factors. Gene ontology analysis revealed that transport-related proteins were enriched in the 16 proteins, indicating that C. albicans probably put priority in time on the acquisition of essential elements. Time-course proteomics of C. albicans revealed the order of priority to adapt to FBS. Depicting time-course dynamics will lead to profound understandings of virulence of C. albicans.

リンク情報
DOI
https://doi.org/10.1111/2049-632X.12003
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000318348300010&DestApp=WOS_CPL
ID情報
  • DOI : 10.1111/2049-632X.12003
  • ISSN : 2049-632X
  • Web of Science ID : WOS:000318348300010

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