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Application of statistical techniques for elucidating flow cytometric data of batch and fed‐batch cultures

Shirsat, Nishikant ; Avesh, Mohd ; English, Niall J. ; Glennon, Brian ; Al‐Rubeai, Mohamed

Biotechnology and Applied Biochemistry, September 2013, Vol.60(5), pp.536-545 [Rivista Peer Reviewed]

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  • Titolo:
    Application of statistical techniques for elucidating flow cytometric data of batch and fed‐batch cultures
  • Autore: Shirsat, Nishikant ; Avesh, Mohd ; English, Niall J. ; Glennon, Brian ; Al‐Rubeai, Mohamed
  • Descrizione: The objective of this work is to develop structured, segregated stochastic models for bioprocesses using time‐series flow cytometric () data. To this end, mammalian cells were grown in both batch and fed‐batch cultures, and their viable cell numbers (s), monoclonal antibody (b), cell cycle phases, mitochondria membrane potential/mitochondria mass, olgi apparatus, and endoplasmic reticulum () were analyzed. For the fed‐batch mode, soy hydrolysate was introduced at 24‐H intervals. The cytometric data were analyzed for early indicators of growth and productivity by multiple linear regression analysis, which involved taking into account multicollinearity diagnostics, urbin–atson statistics, and ouston tests to determine and refine statistically significant correlations between categorical variables ( parameters) and response variables (yield parameters). The results indicate that the percentage of 1 cells and was significantly correlated with and b in the case of batch culture, whereas for fed‐batch culture, the percentage of 2 cells and was correlated significantly. There was a significant difference between cells in the batch and fed‐batch cultures in their content, suggesting that the increase in protein synthesis as reflected by the content and consequent increase in growth rate and b productivity both can be monitored at the cellular level by analysis of content.
  • Fa parte di: Biotechnology and Applied Biochemistry, September 2013, Vol.60(5), pp.536-545
  • Soggetti: Cho ; Fed‐Batch ; Flow Cytometry ; Endoplasmic Reticulum ; Cell Cycle Phases ; Hypothesis Testing ; Stepwise Multivariate Analysis
  • Identificativo: ISSN: 0885-4513 ; E-ISSN: 1470-8744 ; DOI: 10.1002/bab.1138

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