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 - 2011/11
Y1 - 2011/11
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
SN - 0734-9750
VL - 29
SP - 575
EP - 599
JO - Biotechnology Advances
JF - Biotechnology Advances
IS - 6
ER -