Repository logoRepository logoRepository logoRepository logo
Repository logoRepository logoRepository logoRepository logo
  • Communities & Collections
  • Research Outputs
  • Employees
  • AAAHigh contrastHigh contrast
    EN PL
    • Log In
      Have you forgotten your password?
AAAHigh contrastHigh contrast
EN PL
  • Log In
    Have you forgotten your password?
  1. Home
  2. Bibliografia UPP
  3. Bibliografia UPP
  4. Global transcription machinery engineering in Yarrowia lipolytica
 
Full item page
Options

Global transcription machinery engineering in Yarrowia lipolytica

Type
Journal article
Language
English
Date issued
2025
Author
Celińska, Ewelina 
Zhou, Yongjin J
Faculty
Wydział Nauk o Żywności i Żywieniu
Journal
FEMS Yeast Research
ISSN
1567-1356
DOI
10.1093/femsyr/foaf023
Web address
https://academic.oup.com/femsyr/article/doi/10.1093/femsyr/foaf023/8127033
Volume
25
Pages from-to
foaf023
Abstract (EN)
Global transcription machinery engineering (gTME) is a strategy for optimizing complex phenotypes in microbes by manipulating transcription factors (TFs) and their downstream transcriptional regulatory networks (TRN). In principle, gTME leads to a focused but comprehensive optimization of a microbe, also enabling the engineering of nonpathway functionalities, like stress resistance, protein expression, or growth rate. A link between a TF and a desired phenotype is to be established for a rationally designed gTME. For use in a high-throughput format with extensive libraries of TRN-engineered clones tested under multiple conditions, well-developed culturing and analytical protocols are needed, to reveal the pleiotropic effects of the TFs. This mini-review summarizes the gTME strategies and TFs described under different contexts in Yarrowia lipolytica. The outcomes of the gTME strategy application are also addressed, demonstrating its effectiveness in engineering complex, industrially relevant traits in Y. lipolytica.
Keywords (EN)
  • global metabolic engineering

  • transcription factors

  • yeast

  • complex traits

License
cc-bycc-by CC-BY - Attribution
Open access date
May 8, 2025
Fundusze Europejskie
  • About repository
  • Contact
  • Privacy policy
  • Cookies

Copyright 2025 Uniwersytet Przyrodniczy w Poznaniu

DSpace Software provided by PCG Academia