Experimental methods and modeling techniques for description of cell population heterogeneity

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Standard

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

I: Biotechnology Advances, Bind 29, Nr. 6, 2011, s. 575-599.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

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, bind 29, nr. 6, s. 575-599. https://doi.org/10.1016/j.biotechadv.2011.03.007

APA

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

Vancouver

Lencastre Fernandes R, Nierychlo M, Lundin L, Pedersen AE, Tellez PEP, Dutta A o.a. Experimental methods and modeling techniques for description of cell population heterogeneity. Biotechnology Advances. 2011;29(6):575-599. https://doi.org/10.1016/j.biotechadv.2011.03.007

Author

Lencastre Fernandes, Rita ; Nierychlo, Marta ; Lundin, L. ; Pedersen, Anne Egholm ; Tellez, P.E. Puentes ; Dutta, A. ; Carlquist, M. ; Bolic, Andrijana ; Schäpper, Daniel ; Brunetti, Anna Chiara ; Helmark, Søren ; Heins, Anna-Lena ; Jensen, Anker Degn ; Nopens, I. ; Rottwitt, Karsten ; Szita, N. ; Elsas, J.D. van ; Nielsen, P.H. ; Martinussen, Jan ; Sørensen, Søren Johannes ; Eliasson Lantz, Anna ; Gernaey, Krist. / Experimental methods and modeling techniques for description of cell population heterogeneity. I: Biotechnology Advances. 2011 ; Bind 29, Nr. 6. s. 575-599.

Bibtex

@article{b66e37e653fa461b965b8f0a31a6b84f,
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.",
keywords = "Cell Biology, Cell Physiological Phenomena, Cytological Techniques, Models, Biological, Systems Biology",
author = "{Lencastre Fernandes}, Rita and Marta Nierychlo and L. Lundin and Pedersen, {Anne Egholm} and Tellez, {P.E. Puentes} and A. Dutta and M. Carlquist and Andrijana Bolic and Daniel Sch{\"a}pper and Brunetti, {Anna Chiara} and S{\o}ren Helmark and Anna-Lena Heins and Jensen, {Anker Degn} and I. Nopens and Karsten Rottwitt and N. Szita and Elsas, {J.D. van} and P.H. Nielsen and Jan Martinussen and S{\o}rensen, {S{\o}ren Johannes} and {Eliasson Lantz}, Anna and Krist Gernaey",
note = "Copyright {\textcopyright} 2011 Elsevier Inc. All rights reserved.",
year = "2011",
doi = "10.1016/j.biotechadv.2011.03.007",
language = "English",
volume = "29",
pages = "575--599",
journal = "Biotechnology Advances",
issn = "0734-9750",
publisher = "Elsevier",
number = "6",

}

RIS

TY - JOUR

T1 - Experimental methods and modeling techniques for description of cell population heterogeneity

AU - Lencastre Fernandes, Rita

AU - Nierychlo, Marta

AU - Lundin, L.

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

N1 - Copyright © 2011 Elsevier Inc. All rights reserved.

PY - 2011

Y1 - 2011

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.

KW - Cell Biology

KW - Cell Physiological Phenomena

KW - Cytological Techniques

KW - Models, Biological

KW - Systems Biology

U2 - 10.1016/j.biotechadv.2011.03.007

DO - 10.1016/j.biotechadv.2011.03.007

M3 - Journal article

C2 - 21540103

VL - 29

SP - 575

EP - 599

JO - Biotechnology Advances

JF - Biotechnology Advances

SN - 0734-9750

IS - 6

ER -

ID: 36143332