Experimental methods and modeling techniques for description of cell population heterogeneity

Rita Lencastre Fernandes; Marta Nierychlo; L. Lundin; Anne Egholm Pedersen; P.E. Puentes Tellez; A. Dutta; M. Carlquist; Andrijana Bolic; Daniel Schäpper; Anna Chiara Brunetti; Søren Helmark; Anna-Lena Heins; Anker Degn Jensen; I. Nopens; Karsten Rottwitt; N. Szita; J.D. van Elsas; P.H. Nielsen; Jan Martinussen; Søren Johannes Sørensen; Anna Eliasson Lantz; Krist Gernaey

doi:10.1016/j.biotechadv.2011.03.007

Experimental methods and modeling techniques for description of cell population heterogeneity

Rita Lencastre Fernandes, Marta Nierychlo, L. Lundin, Anne Egholm Pedersen, P.E. Puentes Tellez, A. Dutta, M. Carlquist, Andrijana Bolic, Daniel Schäpper, Anna Chiara Brunetti, Søren Helmark, Anna-Lena Heins, Anker Degn Jensen, I. Nopens, Karsten Rottwitt, N. Szita, J.D. van Elsas, P.H. Nielsen, Jan Martinussen, Søren Johannes SørensenAnna Eliasson Lantz, Krist Gernaey

Microbiology

80 Citations (Scopus)

Abstract

With the continuous development, in the last decades, of analytical techniques providing complex information at single cell level, the study of cell heterogeneity has been the focus of several research projects within analytical biotechnology. Nonetheless, the complex interplay between environmental changes and cellular responses is yet not fully understood, and the integration of this new knowledge into the strategies for design, operation and control of bioprocesses is far from being an established reality. Indeed, the impact of cell heterogeneity on productivity of large scale cultivations is acknowledged but seldom accounted for. In order to include population heterogeneity mechanisms in the development of novel bioprocess control strategies, a reliable mathematical description of such phenomena has to be developed. With this review, we search to summarize the potential of currently available methods for monitoring cell population heterogeneity as well as model frameworks suitable for describing dynamic heterogeneous cell populations. We will furthermore underline the highly important coordination between experimental and modeling efforts necessary to attain a reliable quantitative description of cell heterogeneity, which is a necessity if such models are to contribute to the development of improved control of bioprocesses.

Original language	English
Journal	Biotechnology Advances
Volume	29
Issue number	6
Pages (from-to)	575-599
Number of pages	25
ISSN	0734-9750
DOIs	https://doi.org/10.1016/j.biotechadv.2011.03.007
Publication status	Published - Nov 2011

Keywords

Cell Biology
Cell Physiological Phenomena
Cytological Techniques
Models, Biological
Systems Biology

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10.1016/j.biotechadv.2011.03.007

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Lencastre Fernandes, R., Nierychlo, M., Lundin, L., Pedersen, A. E., Tellez, P. E. P., Dutta, A., Carlquist, M., Bolic, A., Schäpper, D., Brunetti, A. C., Helmark, S., Heins, A-L., Jensen, A. D., Nopens, I., Rottwitt, K., Szita, N., Elsas, J. D. V., Nielsen, P. H., Martinussen, J., ... Gernaey, K. (2011). Experimental methods and modeling techniques for description of cell population heterogeneity. Biotechnology Advances, 29(6), 575-599. https://doi.org/10.1016/j.biotechadv.2011.03.007

Lencastre Fernandes, R, Nierychlo, M, Lundin, L, Pedersen, AE, Tellez, PEP, Dutta, A, Carlquist, M, Bolic, A, Schäpper, D, Brunetti, AC, Helmark, S, Heins, A-L, Jensen, AD, Nopens, I, Rottwitt, K, Szita, N, Elsas, JDV, Nielsen, PH, Martinussen, J, Sørensen, SJ, Eliasson Lantz, A & Gernaey, K 2011, 'Experimental methods and modeling techniques for description of cell population heterogeneity', Biotechnology Advances, vol. 29, no. 6, pp. 575-599. https://doi.org/10.1016/j.biotechadv.2011.03.007

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title = "Experimental methods and modeling techniques for description of cell population heterogeneity",

abstract = "With the continuous development, in the last decades, of analytical techniques providing complex information at single cell level, the study of cell heterogeneity has been the focus of several research projects within analytical biotechnology. Nonetheless, the complex interplay between environmental changes and cellular responses is yet not fully understood, and the integration of this new knowledge into the strategies for design, operation and control of bioprocesses is far from being an established reality. Indeed, the impact of cell heterogeneity on productivity of large scale cultivations is acknowledged but seldom accounted for. In order to include population heterogeneity mechanisms in the development of novel bioprocess control strategies, a reliable mathematical description of such phenomena has to be developed. With this review, we search to summarize the potential of currently available methods for monitoring cell population heterogeneity as well as model frameworks suitable for describing dynamic heterogeneous cell populations. We will furthermore underline the highly important coordination between experimental and modeling efforts necessary to attain a reliable quantitative description of cell heterogeneity, which is a necessity if such models are to contribute to the development of improved control of bioprocesses.",

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AU - Nierychlo, Marta

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AU - Pedersen, Anne Egholm

AU - Tellez, P.E. Puentes

AU - Dutta, A.

AU - Carlquist, M.

AU - Bolic, Andrijana

AU - Schäpper, Daniel

AU - Brunetti, Anna Chiara

AU - Helmark, Søren

AU - Heins, Anna-Lena

AU - Jensen, Anker Degn

AU - Nopens, I.

AU - Rottwitt, Karsten

AU - Szita, N.

AU - Elsas, J.D. van

AU - Nielsen, P.H.

AU - Martinussen, Jan

AU - Sørensen, Søren Johannes

AU - Eliasson Lantz, Anna

AU - Gernaey, Krist

PY - 2011/11

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N2 - With the continuous development, in the last decades, of analytical techniques providing complex information at single cell level, the study of cell heterogeneity has been the focus of several research projects within analytical biotechnology. Nonetheless, the complex interplay between environmental changes and cellular responses is yet not fully understood, and the integration of this new knowledge into the strategies for design, operation and control of bioprocesses is far from being an established reality. Indeed, the impact of cell heterogeneity on productivity of large scale cultivations is acknowledged but seldom accounted for. In order to include population heterogeneity mechanisms in the development of novel bioprocess control strategies, a reliable mathematical description of such phenomena has to be developed. With this review, we search to summarize the potential of currently available methods for monitoring cell population heterogeneity as well as model frameworks suitable for describing dynamic heterogeneous cell populations. We will furthermore underline the highly important coordination between experimental and modeling efforts necessary to attain a reliable quantitative description of cell heterogeneity, which is a necessity if such models are to contribute to the development of improved control of bioprocesses.

AB - With the continuous development, in the last decades, of analytical techniques providing complex information at single cell level, the study of cell heterogeneity has been the focus of several research projects within analytical biotechnology. Nonetheless, the complex interplay between environmental changes and cellular responses is yet not fully understood, and the integration of this new knowledge into the strategies for design, operation and control of bioprocesses is far from being an established reality. Indeed, the impact of cell heterogeneity on productivity of large scale cultivations is acknowledged but seldom accounted for. In order to include population heterogeneity mechanisms in the development of novel bioprocess control strategies, a reliable mathematical description of such phenomena has to be developed. With this review, we search to summarize the potential of currently available methods for monitoring cell population heterogeneity as well as model frameworks suitable for describing dynamic heterogeneous cell populations. We will furthermore underline the highly important coordination between experimental and modeling efforts necessary to attain a reliable quantitative description of cell heterogeneity, which is a necessity if such models are to contribute to the development of improved control of bioprocesses.

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KW - Cell Physiological Phenomena

KW - Cytological Techniques

KW - Models, Biological

KW - Systems Biology

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DO - 10.1016/j.biotechadv.2011.03.007

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VL - 29

SP - 575

EP - 599

JO - Biotechnology Advances

JF - Biotechnology Advances

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ER -

Experimental methods and modeling techniques for description of cell population heterogeneity

Abstract

Keywords

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