A Chinese hamster transcription start site atlas that enables targeted editing of CHO cells

Chinese hamster ovary (CHO) cells are widely used for producing biopharmaceuticals, and engineering gene expression in CHO is key to improving drug quality and affordability. However, engineering gene expression or activating silent genes requires accurate annotation of the underlying regulatory ele...

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Bibliographic Details
Main Authors: Benner, C. (Author), Duttke, S.H (Author), Glass, C.K (Author), Han, C.Z (Author), Hansen, A.H (Author), Hefzi, H. (Author), Karottki, K.J.L.C (Author), Kildegaard, H.F (Author), Lee, G.M (Author), Lewis, N.E (Author), Li, S. (Author), Roth, S.J (Author), Shamie, I. (Author), Tao, J. (Author), Xiong, K. (Author)
Format: Article
Language:English
Published: Oxford University Press 2021
Online Access:View Fulltext in Publisher
Description
Summary:Chinese hamster ovary (CHO) cells are widely used for producing biopharmaceuticals, and engineering gene expression in CHO is key to improving drug quality and affordability. However, engineering gene expression or activating silent genes requires accurate annotation of the underlying regulatory elements and transcription start sites (TSSs). Unfortunately, most TSSs in the published Chinese hamster genome sequence were computationally predicted and are frequently inaccurate. Here, we use nascent transcription start site sequencing methods to revise TSS annotations for 15 308 Chinese hamster genes and 3034 non-coding RNAs based on experimental data from CHO-K1 cells and 10 hamster tissues. We further capture tens of thousands of putative transcribed enhancer regions with this method. Our revised TSSs improves upon the RefSeq annotation by revealing core sequence features of gene regulation such as the TATA box and the Initiator and, as exemplified by targeting the glycosyltransferase gene Mgat3, facilitate activating silent genes by CRISPRa. Together, we envision our revised annotation and data will provide a rich resource for the CHO community, improve genome engineering efforts and aid comparative and evolutionary studies. © 2021 The Author(s) 2021. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.
ISBN:26319268 (ISSN)
DOI:10.1093/nargab/lqab061