Expanding the Chinese hamster ovary cell long noncoding RNA transcriptome using RNASeq

Area of Science:

• Cell Biology
• Genomics
• Biotechnology

Background:

• Next-generation sequencing and reference genomes have advanced Chinese hamster ovary (CHO) cell biology studies.
• RNA sequencing has characterized protein-coding and small noncoding RNAs, but long noncoding RNA (lncRNA) annotation remains limited.
• Understanding lncRNAs is crucial for elucidating complex cellular functions in CHO cells.

Purpose of the Study:

• To significantly increase the number of annotated long noncoding RNA (lncRNA) transcripts in the CHO K1 genome.
• To identify novel antisense and divergent lncRNAs using strand-specific sequencing.
• To demonstrate the utility of lncRNA monitoring in response to bioprocess changes.

Main Methods:

• High-resolution RNA sequencing (RNASeq) data analysis.
• Utilisation of strand-specific sequencing for precise lncRNA identification.
• Transcriptomic analysis of CHO cells under altered culture conditions (reduced temperature).

Main Results:

• More than doubled the number of annotated lncRNA transcripts for the CHO K1 genome.
• Identified over 1,000 new antisense and divergent lncRNAs.
• Observed simultaneous sense/antisense differential gene expression in response to temperature reduction, a first for CHO cells.

Conclusions:

• This study substantially enhances the annotation of lncRNAs in CHO K1 cells, providing a valuable resource.
• The findings reveal new classes of lncRNAs and their potential roles in cellular responses.
• The annotated lncRNA transcripts are publicly available, facilitating future research in CHO cell biology and bioprocessing.