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Analysis of population heterogeneity in CHO cells by genome-wide DNA methylation analysis and by multi-modal single-cell sequencing [WGBS]

ABSTRACT: Analysis of population heterogeneity in CHO cells by genome-wide DNA methylation analysis and by multi-modal single-cell sequencing [WGBS]

PROVIDER: PRJNA1143486 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR30115800_1.fastq.gz	Fastqsanger.gz
	SRR30115800_2.fastq.gz	Fastqsanger.gz
	SRR30115801_1.fastq.gz	Fastqsanger.gz
	SRR30115801_2.fastq.gz	Fastqsanger.gz
	SRR30115802_1.fastq.gz	Fastqsanger.gz

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Similar Datasets

Analysis of population heterogeneity in CHO cells by genome-wide DNA methylation analysis and by multi-modal single-cell sequencing [WGBS]

Project description:CHO cells are major hosts for the industrial production of therapeutic proteins and their production stability is of considerable economic significance. It is widely known that CHO cells can rapidly acquire genetic alterations, which affects their genetic homogeneity over time. However, the role of non-genetic mechanisms, including epigenetic mechanisms such as DNA methylation, remains poorly understood. We have now used whole-genome bisulfite sequencing to establish single-base methylation maps of eight independent CHO cell lines. Our results identify CpG islands and low-methylated regions as conserved elements with dynamic DNA methylation. Interestingly, methylation patterns were found to cluster clearly along the three main branches of CHO evolution, with no directional changes over short culture periods. Furthermore, multi-ome single-cell sequencing of 9,833 nuclei from three independent cultures revealed dynamic subpopulation structures characterized by robust expression differences in pathways related to protein production. Our findings thus provide novel insights into the epigenetic heterogeneity of CHO cells and support the development of epigenetic biomarkers that trace the emergence of subpopulations in CHO cultures.

2024-11-04 | GSE273851 | GEO

Analysis of population heterogeneity in CHO cells by genome-wide DNA methylation analysis and by multi-modal single-cell sequencing [multiome]

2024-11-04 | GSE272869 | GEO

Analysis of population heterogeneity in CHO cells by genome-wide DNA methylation analysis and by multi-modal single-cell sequencing [time series]

2024-11-04 | GSE273684 | GEO

Analysis of population heterogeneity in CHO cells by genome-wide DNA methylation analysis and by multi-modal single-cell sequencing

Project description:Analysis of population heterogeneity in CHO cells by genome-wide DNA methylation analysis and by multi-modal single-cell sequencing

| PRJNA1142613 | ENA

Analysis of population heterogeneity in CHO cells by genome-wide DNA methylation analysis and by multi-modal single-cell sequencing [multiome]

Project description:Analysis of population heterogeneity in CHO cells by genome-wide DNA methylation analysis and by multi-modal single-cell sequencing [multiome]

| PRJNA1139152 | ENA

Analysis of population heterogeneity in CHO cells by genome-wide DNA methylation analysis and by multi-modal single-cell sequencing [time series]

Project description:Analysis of population heterogeneity in CHO cells by genome-wide DNA methylation analysis and by multi-modal single-cell sequencing [time series]

| PRJNA1142615 | ENA

Multi-modal analysis of human Plasma-cells

Project description:Multi-modal analysis of human Plasma-cells

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Analysis of population heterogeneity in CHO cells by genome-wide DNA methylation analysis and by multi-modal single-cell sequencing

Project description:This SuperSeries is composed of the SubSeries listed below.

2024-11-04 | GSE273685 | GEO

High technical resolution transcriptomics analysis for CHO cells

Project description:The development of next-generation sequencing technologies has opened new opportunities to better characterize complex eukaryotic cells. Chinese hamster ovary (CHO) cells play a primary role in therapeutic protein production, with currently five of the top ten blockbuster selling drugs produced in CHO. However, engineering superior CHO cells with improved production features has had limited results to date and cell lines are still developed through generation and screening of large strain pools. Here, we applied RNA sequencing to contrast a high and a low monoclonal antibody producing cell line. Rigorous experimental design achieved high reproducibility between biological replicates, remarkably reducing variation to less than 10%. More than 14,000 gene-transcripts were identified and surprisingly 58% were classified as differentially expressed, including 2,900 with a fold change higher than 1.5. The largest differences were found for gene-transcripts belonging to regulation of apoptosis, cell death and protein intracellular transport GO term classifications, which were found to be significantly enriched in the high producing cell line. RNA sequencing was also performed to lower producing subclones, where down-regulation of genes encoding secreted glycoproteins was found to be the most significant change. The large number of significant differences even between subclones suggests a substantial genetic fluidity in CHO lines and challenges the notion of identifying and manipulating a few key genes to generate high production CHO cell lines.

2018-02-12 | GSE100908 | GEO

Analysis of mature miRNA levels in the context of CHO cell proliferation

Project description:Mature microRNA transcripts were analyzed in 9 CHO cell lines growing at different proliferation rates. The goal was to identify microRNAs that correlate positively or negatively with CHO proliferation rates.

2015-12-10 | GSE75830 | GEO

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