論文

査読有り
2002年8月

Extremely simple, rapid, and highly efficient transformation method for the yeast Saccharomyces cerevisiae using glutathione and early log phase cells

JOURNAL OF BIOSCIENCE AND BIOENGINEERING
  • Y Hayama
  • ,
  • Y Fukuda
  • ,
  • S Kawai
  • ,
  • W Hashimoto
  • ,
  • K Murata

94
2
開始ページ
166
終了ページ
171
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1263/jbb.94.166
出版者・発行元
SOC BIOSCIENCE BIOENGINEERING JAPAN

In the presence of polyethylene glycol (PEG), budding cells of Saccharomyces cerevisiae in the early log phase were transformed by exogeneous plasmid DNA without additional specific chemical or physical treatments. This capacity of the yeast cells to become competent was strictly dependent on the growth phase, being induced in the early log phase, becoming maximum between the early and mid log phases, and then disappearing rapidly in the mid log phase. The transformation was most efficient at pH 6, and the frequency increased with increasing DNA and cell concentrations. PEGs with average molecular sizes between 1000 and 3500 showed almost the same effects, and were used most efficiently at 35%. The transformation frequency of S. cerevisiae was markedly enhanced when the oxidized form of glutathione (GSSG), but not the reduced form, was included in the mixture comprising early log phase cells, plasmid DNA, and PEG, and the transformation system with GSSG could be used as a convenient transformation method for the yeast S. cerevisiae.

リンク情報
DOI
https://doi.org/10.1263/jbb.94.166
J-GLOBAL
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=200902173815223571
CiNii Articles
http://ci.nii.ac.jp/naid/110002684822
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/16233287
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000179235900013&DestApp=WOS_CPL
ID情報
  • DOI : 10.1263/jbb.94.166
  • ISSN : 1389-1723
  • eISSN : 1347-4421
  • J-Global ID : 200902173815223571
  • CiNii Articles ID : 110002684822
  • PubMed ID : 16233287
  • Web of Science ID : WOS:000179235900013

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