Exploiting transcriptomic data for metabolic engineering: toward a systematic strain design-Reference-Cited by-同舟云学术

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Exploiting transcriptomic data for metabolic engineering: toward a systematic strain design

Published:2018-12 Issue: Volume:54 Page:26-32
ISSN:0958-1669
Container-title:Current Opinion in Biotechnology
language:en
Short-container-title:Current Opinion in Biotechnology

Author:

Kim Minsuk,Park Beom Gi,Kim Joonwon,Kim Jin Young,Kim Byung-Gee

Funder

National Research Foundation of Korea

Ministry of Science, ICT & Future Planning

Publisher

Elsevier BV

Subject

Biomedical Engineering,Bioengineering,Biotechnology

Reference57 articles.

1. Systems strategies for developing industrial microbial strains;Lee;Nat Biotechnol,2015

2. Engineering cellular metabolism;Nielsen;Cell,2016

3. The impact of systems biology on bioprocessing;Campbell;Trends Biotechnol,2017

4. Advancing metabolic engineering through systems biology of industrial microorganisms;Dai;Curr Opin Biotechnol,2015

5. Systems biology solutions for biochemical production challenges;Hansen;Curr Opin Biotechnol,2017

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1. Biosynthesis of Hesperetin, Homoeriodictyol, and Homohesperetin in a Transcriptomics-Driven Engineered Strain of Streptomyces albidoflavus;International Journal of Molecular Sciences;2024-04-05

2. Metabolic Engineering: Methodologies and Applications;Chemical Reviews;2022-12-30

3. RNA-seq based transcriptomic analysis of the non-conventional yeast Spathaspora passalidarum during Melle-boinot cell recycle in xylose-glucose mixtures;Renewable Energy;2022-12

4. Synthetic metabolism approaches: A valuable resource for systems biology;Current Opinion in Systems Biology;2022-06

5. Construction of synthetic microbial consortia for 2-keto-L-gulonic acid biosynthesis;Synthetic and Systems Biotechnology;2022-03

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