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The Long Non-Coding RNA Transcriptome Landscape in CHO Cells Under Batch and Fed-Batch Conditions.
Davide Vito1, Christopher Mark Smales1
1Industrial Biotechnology Centre and School of Biosciences, University of Kent, Canterbury, CT2 7NJ, Kent, UK.
Biotechnology Journal
|May 22, 2018
Summary
This study presents the first landscape analysis of long non-coding RNAs (lncRNAs) in Chinese hamster ovary (CHO) cells. Researchers identified thousands of lncRNAs, revealing potential targets for controlling CHO cell growth and productivity.
Area of Science:
- Biotechnology
- Genomics
- Molecular Biology
Background:
- Non-coding RNAs, particularly microRNAs, are known to influence Chinese hamster ovary (CHO) cell growth and recombinant product quality.
- Long non-coding RNAs (lncRNAs) represent another crucial class of non-coding RNAs with largely unexplored roles in CHO cell biology.
Purpose of the Study:
- To perform the first comprehensive landscape analysis of the lncRNA transcriptome in CHO cells.
- To identify lncRNAs differentially expressed during different culture conditions (batch vs. fed-batch) and growth phases (growth vs. stationary).
- To provide a valuable dataset for the research community to explore lncRNA functions in CHO cell bioprocessing.
Main Methods:
- Utilized a mouse-based microarray for simultaneous analysis of both coding and lncRNA transcriptomes in CHO cells.
- Employed quantitative reverse transcription PCR (qRT-PCR) for validation of microarray-detected lncRNAs.
- Analyzed lncRNA expression patterns under batch and fed-batch culture conditions across different time points.
Main Results:
- Successfully detected and analyzed thousands of CHO lncRNAs using the cross-species microarray.
- Validated a significant number of identified lncRNAs using qRT-PCR.
- Identified specific lncRNAs exhibiting substantial expression changes between growth and stationary phases, and between batch and fed-batch cultures.
Conclusions:
- Demonstrated the suitability of mouse microarrays for comprehensive lncRNA profiling in CHO cells.
- Highlighted numerous lncRNAs as potential targets for future functional studies aimed at optimizing CHO cell growth and productivity.
- Emphasized the significance of this dataset for advancing research in CHO cell biomanufacturing.
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