Academic Journal

Defining lncRNAs Correlated with CHO Cell Growth and IgG Productivity by RNA-Seq

التفاصيل البيبلوغرافية
العنوان: Defining lncRNAs Correlated with CHO Cell Growth and IgG Productivity by RNA-Seq
المؤلفون: Vito, Davide, Eriksen, Jens Christian, Skjødt, Christian, Weilguny, Dietmar, Rasmussen, Søren K., Smales, C. Mark
بيانات النشر: Elsevier
سنة النشر: 2020
المجموعة: University of Kent: KAR - Kent Academic Repository
مصطلحات موضوعية: QH301 Biology
الوصف: How the long non-coding RNA (lncRNA) genome in recombinant protein producing Chinese hamster ovary (CHO) cell lines relates to phenotype is not well described. We therefore defined the CHO cell lncRNA transcriptome from cells grown in controlled miniature bioreactors under fed-batch conditions using RNA-Seq to identify lncRNAs and how the expression of these changes throughout growth and between IgG producers. We identify lncRNAs including Adapt15, linked to ER stress, GAS5, linked to mTOR signaling/growth arrest, and PVT1, linked to Myc expression, which are differentially regulated during fed-batch culture and whose expression correlates to productivity and growth. Changes in (non)-coding RNA expression between the seed train and the equivalent day of fed-batch culture are also reported and compared with existing datasets. Collectively, we present a comprehensive lncRNA CHO cell profiling and identify targets for engineering growth and productivity characteristics of CHO cells.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: English
Relation: https://kar.kent.ac.uk/79922/1/Vito%20et%20al%20iScience%202020.pdf; Vito, Davide, Eriksen, Jens Christian, Skjødt, Christian, Weilguny, Dietmar, Rasmussen, Søren K., Smales, C. Mark (2020) Defining lncRNAs Correlated with CHO Cell Growth and IgG Productivity by RNA-Seq. iScience, 23 (1). Article Number 100785. ISSN 2589-0042. (doi:10.1016/j.isci.2019.100785 ) (KAR id:79922 )
DOI: 10.1016/j.isci.2019.100785
الاتاحة: https://kar.kent.ac.uk/79922/
https://kar.kent.ac.uk/79922/1/Vito%20et%20al%20iScience%202020.pdf
https://doi.org/10.1016/j.isci.2019.100785
Rights: cc_by
رقم الانضمام: edsbas.FEA79045
قاعدة البيانات: BASE
الوصف
DOI:10.1016/j.isci.2019.100785