Expanding the Chinese hamster ovary cell long noncoding RNA transcriptome using RNASeq.
Krishna MotheramgariRicardo Valdés-Bango CurellIoanna TzaniClair GallagherMarina Castro-RivadeneyraLin ZhangNiall BarronColin ClarkePublished in: Biotechnology and bioengineering (2020)
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.
Keyphrases
- single cell
- rna seq
- long noncoding rna
- cell therapy
- high resolution
- induced apoptosis
- healthcare
- poor prognosis
- mental health
- long non coding rna
- gene expression
- binding protein
- stem cells
- cell cycle arrest
- mass spectrometry
- wastewater treatment
- copy number
- cell death
- deep learning
- small molecule
- oxidative stress
- circulating tumor
- electronic health record
- machine learning
- cell proliferation
- amino acid
- cell free
- endoplasmic reticulum stress
- liquid chromatography
- genome wide identification