کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6494073 | 1418332 | 2018 | 30 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Glyco-Mapper: A Chinese hamster ovary (CHO) genome-specific glycosylation prediction tool
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کلمات کلیدی
mAbEPOSEAPCCm - CCMshort interfering RNA - RNA تداخل کوتاهsiRNA - siRNASecreted alkaline phosphatase - آلکالن فسفاتاز تثبیت شدهMonoclonal antibody - آنتی بادی مونوکلونالerythropoietin - اریتروپویتینCho - برایChinese Hamster Ovary - تخمدان هامستر چینیChinese hamster ovary (CHO) cells - سلول های تخم مرغ هامستر چینی (CHO)Central carbon metabolism - متابولیسم کربن مرکزیGlycoform - گلیکوفرم
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
بیو مهندسی (مهندسی زیستی)
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Glyco-Mapper is a novel systems biology product quality prediction tool created using a new framework termed: Discretized Reaction Network Modeling using Fuzzy Parameters (DReaM-zyP). Within Glyco-Mapper, users fix the nutrient feed composition and the glycosylation reaction fluxes to fit the model glycoform to the reference experimental glycoform, enabling cell-line specific glycoform predictions as a result of cell engineering strategies. Glyco-Mapper accurately predicts glycoforms associated with genetic alterations that result in the appearance or disappearance of one or more glycans with an accuracy, sensitivity, and specificity of 96%, 85%, and 97%, respectively, for publications between 1999 and 2014. The modeled glycoforms span a large range of glycoform engineering strategies, including the altered expression of glycosylation, nucleotide sugar transport, and metabolism genes, as well as an altered nutrient feeding strategy. A glycoprotein-producing CHO cell line reference glycoform was modeled and a novel Glyco-Mapper prediction was experimentally confirmed with an accuracy and specificity of 95% and 98%, respectively. Glyco-Mapper is a product quality prediction tool that provides a streamlined way to design host cell line genomes to achieve specific product quality attributes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Metabolic Engineering - Volume 47, May 2018, Pages 134-142
Journal: Metabolic Engineering - Volume 47, May 2018, Pages 134-142
نویسندگان
Benjamin G. Kremkow, Kelvin H. Lee,