A novel automated approach to enabling high-throughput cell line development, selection, and other cell culture tasks performed in Erlenmeyer (shake) flasks.

Selection of the optimum cell line from large populations can be time consuming and laborious. Compromises are often necessary to meet challenging timelines, but can limit the parameters or cell line construction strategies that can be evaluated. This article describes a new automated cell culture s...

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Publicado en:JALA: Journal of the Association for Laboratory Automation Vol. 13; no. 3; pp. 145 - 152
Autores principales: Thomas D, Ward T, Drake R, Hollway R, Savage D, Owen S
Formato: pictorial research tables/charts Journal Article
Publicado: Elsevier B.V. Jun2008
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2008
      vid: 13
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      pub: Elsevier B.V.
      place: New York, New York
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        105804961
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        10.1016/j.jala.2008.01.003
        105804961
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        atl: A novel automated approach to enabling high-throughput cell line development, selection, and other cell culture tasks performed in Erlenmeyer (shake) flasks.
      aug:
        au:
          Thomas D
          Ward T
          Drake R
          Hollway R
          Savage D
          Owen S
        affil: The Automation Partnership, York Way, Royston, Hertfordshire, SG8 5WY, UK; dave.thomas@automationpartnership.com
      sug:
        subj:
          Automation
          Tissue Culture Techniques
          Tissue Culture Techniques Equipment and Supplies
          Drug Design
          Equipment Design
          Evaluation Research
          Funding Source
          Software
          Systems Design
          Human
      ab: Selection of the optimum cell line from large populations can be time consuming and laborious. Compromises are often necessary to meet challenging timelines, but can limit the parameters or cell line construction strategies that can be evaluated. This article describes a new automated cell culture system for cell line selection and characterization. The technologies enable data to be obtained from large numbers of cells lines allowing users to evaluate, in parallel, a wider range of molecular approaches and cell culture processes. This facilitates more rapid and efficient cell line development. Also, presented are initial biological testing data for the new system and descriptions of how highly parallel processing can contribute to significantly reduced cycle times and better decision making through the rapid identification of optimum cell lines and culture conditions.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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