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Related Concept Videos

Cell Specific Gene Expression01:58

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
Constitutive and Regulated Gene Expression01:27

Constitutive and Regulated Gene Expression

Gene expression in prokaryotes is governed by constitutive and regulated systems, allowing cells to balance the production of essential proteins with adaptive responses to environmental changes.Constitutive Gene ExpressionConstitutive, or housekeeping, genes are continuously expressed as they encode proteins vital for fundamental cellular processes. These include enzymes for glycolysis, ribosomal components for protein synthesis, and proteins involved in DNA replication. Their constant...
Combinatorial Gene Control02:33

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
Molecular Factors Affecting Cell Division01:27

Molecular Factors Affecting Cell Division

Several external and internal factors influence the initiation and inhibition of cell division. For instance, the death of nearby cells or the release of human growth hormone (hGH) promotes cell division. In contrast, lack of hGH or crowding of cells can inhibit cell division.
Several proteins function as internal regulators to ensure each cell cycle stage is completed faithfully before proceeding to the next. Regulator molecules may act directly or influence the activity or production of other...
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the addition of a...

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A High-throughput Automated Platform for the Development of Manufacturing Cell Lines for Protein Therapeutics
07:48

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Published on: September 22, 2011

Predicting cell-specific productivity from CHO gene expression.

Colin Clarke1, Padraig Doolan, Niall Barron

  • 1National Institute for Cellular Biotechnology, Dublin City University, Glasnevin, Dublin 9, Ireland. colin.clarke@dcu.ie

Journal of Biotechnology
|December 1, 2010
PubMed
Summary
This summary is machine-generated.

Scientists developed a predictive model for recombinant protein production in Chinese hamster ovary (CHO) cells using gene expression. This model accurately forecasts cell-specific productivity (Qp), aiding biopharmaceutical cost control.

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Area of Science:

  • Biotechnology
  • Molecular Biology
  • Bioprocess Engineering

Background:

  • Optimizing recombinant protein production in Chinese hamster ovary (CHO) cells is crucial for reducing biopharmaceutical costs.
  • Existing methods for predicting productivity are limited, necessitating novel approaches.

Purpose of the Study:

  • To develop the first predictive model for productivity in CHO cell culture based on gene expression profiles.
  • To identify key genes associated with cell-specific productivity (Qp) in CHO cells.

Main Methods:

  • Utilized transcriptomic data from 70 stationary phase, temperature-shifted CHO production cell line samples.
  • Employed a supervised regression algorithm, partial least squares (PLS) with jackknife gene selection.
  • Validated the model using an independent panel of 10 additional samples.

Main Results:

  • Developed a predictive model for cell-specific productivity (Qp) with a root mean squared error of 4.44 pg/cell/day in cross-model validation.
  • The final model comprises 287 genes, accurately predicting Qp in an independent validation set.
  • Identified several genes within the model linked to biological processes relevant to protein metabolism.

Conclusions:

  • Gene expression profiling can effectively predict recombinant protein production in CHO cells.
  • The developed model offers a valuable tool for optimizing bioprocesses and controlling biopharmaceutical manufacturing costs.
  • The identified genes provide insights into the molecular mechanisms governing protein production in CHO cells.