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Expanding the Chinese hamster ovary cell long noncoding RNA transcriptome using RNASeq
Author(s) -
Motheramgari Krishna,
ValdésBango Curell Ricardo,
Tzani Ioanna,
Gallagher Clair,
CastroRivadeneyra Marina,
Zhang Lin,
Barron Niall,
Clarke Colin
Publication year - 2020
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.27467
Subject(s) - chinese hamster ovary cell , biology , transcriptome , rna , computational biology , long non coding rna , genetics , antisense rna , dna sequencing , gene , gene expression , cell culture
Our ability to study Chinese hamster ovary (CHO) cell biology has been revolutionised over the last decade following the development of next generation sequencing technology and publication of reference DNA sequences for CHO cells and the Chinese hamster. RNA sequencing has not only enabled the association of transcript expression with bioreactor conditions and desirable bioprocess phenotypes but played a key role in the characterisation of protein coding and small noncoding RNAs. The annotation of long noncoding RNAs, and therefore our understanding of their role in CHO cell biology, has been limited to date. In this manuscript, we use high‐resolution RNASeq data to more than double the number of annotated lncRNA transcripts for the CHO K1 genome. In addition, the utilisation of strand‐specific sequencing enabled the identification of more than 1,000 new antisense and divergent lncRNAs. The utility of monitoring lncRNA expression is demonstrated through an analysis of the transcriptomic response to a reduction of cell culture temperature and identification of simultaneous sense/antisense differential expression for the first time in CHO cells. To enable further studies of lncRNAs, the transcripts annotated in this study have been made available for the CHO cell biology community.