Literature DB >> 29471208

Understanding biopharmaceutical production at single nucleotide resolution using ribosome footprint profiling.

Ioanna Tzani1, Craig Monger1, Paul Kelly1, Niall Barron1, Ronan M Kelly2, Colin Clarke3.   

Abstract

Biopharmaceuticals such as monoclonal antibodies have revolutionised the treatment of a variety of diseases. The production of recombinant therapeutic proteins, however, remains expensive due to the manufacturing complexity of mammalian expression systems and the regulatory burden associated with administrating these medicines to patients in a safe and efficacious manner. In recent years, academic and industrial groups have begun to develop a greater understanding of the biology of host cell lines, such as Chinese hamster ovary (CHO) cells and utilise that information for process development and cell line engineering. In this review, we focus on ribosome footprint profiling (RiboSeq), an exciting next generation sequencing (NGS) method that provides genome-wide information on translation, and discuss how its application can transform our understanding of therapeutic protein production.
Copyright © 2018 Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 29471208     DOI: 10.1016/j.copbio.2018.01.030

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  2 in total

1.  Mammalian Hbs1L deficiency causes congenital anomalies and developmental delay associated with Pelota depletion and 80S monosome accumulation.

Authors:  Amy E O'Connell; Maxim V Gerashchenko; Marie-Francoise O'Donohue; Samantha M Rosen; Eric Huntzinger; Diane Gleeson; Antonella Galli; Edward Ryder; Siqi Cao; Quinn Murphy; Shideh Kazerounian; Sarah U Morton; Klaus Schmitz-Abe; Vadim N Gladyshev; Pierre-Emmanuel Gleizes; Bertrand Séraphin; Pankaj B Agrawal
Journal:  PLoS Genet       Date:  2019-02-01       Impact factor: 5.917

Review 2.  Bioengineering tools for the production of pharmaceuticals: current perspective and future outlook.

Authors:  Surendra Sarsaiya; Jingshan Shi; Jishuang Chen
Journal:  Bioengineered       Date:  2019-12       Impact factor: 3.269

  2 in total

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