Analysis of time-course gene expression profiles to study regulation of cell growth in fed-batch bioreactors
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- 作者：Yanzhu Lin ; Kim Lehmann ; Philip Z. Brohawn ; Zheng Liu ; Nitin Agarwal ; AgarwalN@MedImmune.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Bioreactors ; Animal cell culture ; Fed-batch culture ; Amino acids ; Gene expression ; Sparse partial least squares
- 刊名：Biochemical Engineering Journal
- 出版年：2015
- 出版时间：15 November 2015
- 年：2015
- 卷：103
- 期：Complete
- 页码：77-84
- 全文大小：1398 K
文摘
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A workflow to analyze time-course microarray datais described for cell culture.
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Genes whose expression correlated with changes in cell growth were identified.
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ATP7B, SREBP1, SCAP and INSIG2 were the upstream regulators for these genes.
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Amino acids, copper, cholesterol and insulin were potential contributors for growth.
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A complex dataset was analyzed to reveal valuable insight about cell biology.
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