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Motheramgari, K.

Publications and source records attributed to Motheramgari, K..

3 recordsLinked to original sources

A genome-scale CRISPR deletion screen in Chinese Hamster Ovary cells reveals essential regions of the coding and non-coding genome

The biopharmaceutical sector relies on CHO cells to investigate biological processes and as the preferred host for production of biotherapeutics. Simultaneously, advancements in CHO cell genome assembly have provided insights for developing sophisticated genetic engineering strategies. While the majority of these efforts have focused on coding genes, with some interest in transcribed non-coding RNAs (e.g., microRNAs and lncRNAs), there remains a lack of genome-wide systematic studies that precisely examine the remaining 90% of the genome. This unannotated "dark matter" includes regulatory elements and other, poorly understood or characterized functionality of the genome that may be potentially critical for cell survival. In this study, we deployed a genome-scale CRISPR screening platform with 112,272 paired guide RNAs targeting 14,034 genomic regions for complete deletion of 150 kb long sections. This platform enabled the execution of a negative screen that selectively identified dying cells to determine regions essential for cell survival. By using paired gRNAs, we overcame the intrinsic limitations of traditional frameshift strategies, which will likely have little or no effect on the non-coding genome. This study revealed 427 regions essential for CHO survival, many of which currently lack gene annotation or known function. For these regions we present annotation status, transcriptional activity as well as annotated chromatin states such as enhancers. Selected regions, specifically those that were negative for all the above, were individually deleted for confirmation. This work sheds a novel light on a substantial part of the mammalian genome which is traditionally difficult to investigate and therefore, neglected.

cell biology↗

Sub physiological temperature induces pervasive alternative splicing in Chinese hamster ovary cells

RNA sequencing (RNASeq) has been widely used to associate alterations in Chinese hamster ovary (CHO) cell gene expression with bioprocess phenotypes, however alternative mRNA splicing, has thus far, received little attention. In this study, we utilised RNASeq for transcriptomic analysis of a monoclonal antibody producing CHOK1 cell line subjected to a temperature shift. More than 2,365 instances of differential splicing were observed 24hrs after the reduction of cell culture temperature. 1,163 of these alternative splicing events were identified in genes where no changes in abundance were detected by standard differential expression analysis. Ten examples of alternative splicing were selected for independent validation using qPCR in the monoclonal antibody producing CHOK1 line used for RNASeq and a further 2 CHOK1 cell lines. This analysis provided evidence that exon skipping and mutually exclusive splicing events occur in genes linked to the cellular response to changes in temperature and mitochondrial function. While further work is required to determine the impact of changes in mRNA sequence on cellular phenotype, this study demonstrates that alternative splicing analysis can be utilised to gain a deeper understanding of post-transcriptional regulation in CHO cells during biopharmaceutical production.

cell biology↗

Expanding the Chinese hamster ovary cell long non-coding RNA transcriptome using RNASeq

Our ability to study Chinese hamster ovary (CHO) cell biology has been revolutionised over the last decade with the development of next generation sequencing and the 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 non-coding RNAs. The annotation of long non-coding 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 CHOK1 genome. In addition, the utilisation of strand specific sequencing enabled the identification of more than 1,000 new lncRNAs located antisense to protein coding genes. 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.

cell biology↗