Literature DB >> 25475640

Detection of adventitious agents using next-generation sequencing.

Brenda Richards1, Sherry Cao2, Mark Plavsic3, Robert Pomponio4, Claire Davies5, Robert Mattaliano6, Stephen Madden2, Katherine Klinger2, Adam Palermo2.   

Abstract

Next-generation sequencing has been evaluated at Genzyme as a means of identifying bioreactor contaminants due to its capability for detection of known and novel microbial species. In this approach, data obtained from next-generation sequencing is used to interrogate databases containing genomic sequences and identities of potential adventitious agents. We describe here the use of this approach to help identify the causative agent of a bioreactor contamination. We also present the results of spiking experiments to establish the limits of detection for DNA viruses, RNA viruses, and bacteria, in a background of Chinese hamster ovary cells, a cell line used for production of many human therapeutics. Using Illumina sequencing-based detection, all of the viruses included in this study were detected at less than 1 copy per cell, and bacteria were detected at 0.001 copy per cell. Thus, next-generation sequencing-based detection of adventitious agents is a valuable approach that can fill a critical unmet need in the detection of known and novel microorganisms in biopharmaceutical manufacturing. LAY ABSTRACT: Because biological products are manufactured in cells, the living environment must be kept sterile. Any introduction of microorganisms into the culture vessel may affect the growth and other biological properties of the cells or contaminate the product. It is therefore important to monitor the culture for such contaminants, but many methods can only detect a specific microorganism. In this study, we show that next-generation sequencing-based detection is a sensitive and complementary approach that can potentially detect a wide range of organisms. © PDA, Inc. 2014.

Entities:  

Keywords:  Adventitious agents; Biosurveillance; Library construction; Limit of detection; Next-generation sequencing

Mesh:

Substances:

Year:  2014        PMID: 25475640     DOI: 10.5731/pdajpst.2014.01025

Source DB:  PubMed          Journal:  PDA J Pharm Sci Technol        ISSN: 1079-7440


  3 in total

1.  Considerations for Optimization of High-Throughput Sequencing Bioinformatics Pipelines for Virus Detection.

Authors:  Christophe Lambert; Cassandra Braxton; Robert L Charlebois; Avisek Deyati; Paul Duncan; Fabio La Neve; Heather D Malicki; Sebastien Ribrioux; Daniel K Rozelle; Brandye Michaels; Wenping Sun; Zhihui Yang; Arifa S Khan
Journal:  Viruses       Date:  2018-09-27       Impact factor: 5.048

2.  Development of a candidate reference material for adventitious virus detection in vaccine and biologicals manufacturing by deep sequencing.

Authors:  Edward T Mee; Mark D Preston; Philip D Minor; Silke Schepelmann
Journal:  Vaccine       Date:  2015-12-19       Impact factor: 3.641

3.  Selection and evaluation of an efficient method for the recovery of viral nucleic acids from complex biologicals [corrected].

Authors:  Sarmitha Sathiamoorthy; Rebecca J Malott; Lucy Gisonni-Lex; Siemon H S Ng
Journal:  NPJ Vaccines       Date:  2018-08-10       Impact factor: 7.344

  3 in total

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