کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6487207 | 1416317 | 2018 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Exploiting transcriptomic data for metabolic engineering: toward a systematic strain design
ترجمه فارسی عنوان
استفاده از داده های رونویسی برای داده های مهندسی متابولیک: به سمت یک طرح کشش سیستماتیک
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
بیو مهندسی (مهندسی زیستی)
چکیده انگلیسی
Transcriptomics is now recognized as a primary tool for metabolic engineering as it can be used for identifying new strain designs by diagnosing current states of microbial cells. This review summarizes current application of transcriptomic data for strain design. Along with a few successful examples, limitations of conventionally used differentially expressed gene-based strain design approaches have been discussed, which have been major reasons why transcriptomic data are considerably underutilized. Recently, integrative network-based approaches interpreting transcriptomic data in the context of biological networks were invented to provide complimentary solutions for metabolic engineering by overcoming the limitations of conventional approaches. Here, we highlight recent pioneering studies in which integrative network-based methods have been used for providing novel strain designs.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Current Opinion in Biotechnology - Volume 54, December 2018, Pages 26-32
Journal: Current Opinion in Biotechnology - Volume 54, December 2018, Pages 26-32
نویسندگان
Minsuk Kim, Beom Gi Park, Joonwon Kim, Jin Young Kim, Byung-Gee Kim,