Search: WFRF:(Lundin Anna) > (2010-2014) > Cell mass and cell ...
Fältnamn | Indikatorer | Metadata |
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000 | 04033naa a2200493 4500 | |
001 | oai:lup.lub.lu.se:354d05b0-57d8-4a58-bdc4-62788cdf3d2b | |
003 | SwePub | |
008 | 160401s2013 | |||||||||||000 ||eng| | |
024 | 7 | a https://lup.lub.lu.se/record/35771562 URI |
024 | 7 | a https://doi.org/10.1002/bit.247492 DOI |
040 | a (SwePub)lu | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a art2 swepub-publicationtype |
072 | 7 | a ref2 swepub-contenttype |
100 | 1 | a Fernandes, Rita Lencastre4 aut |
245 | 1 0 | a Cell mass and cell cycle dynamics of an asynchronous budding yeast population: Experimental observations, flow cytometry data analysis, and multi-scale modeling |
264 | c 2012-11-12 | |
264 | 1 | b Wiley,c 2013 |
520 | a Despite traditionally regarded as identical, cells in a microbial cultivation present a distribution of phenotypic traits, forming a heterogeneous cell population. Moreover, the degree of heterogeneity is notably enhanced by changes in micro-environmental conditions. A major development in experimental single-cell studies has taken place in the last decades. It has however not been fully accompanied by similar contributions within data analysis and mathematical modeling. Indeed, literature reporting, for example, quantitative analyses of experimental single-cell observations and validation of model predictions for cell property distributions against experimental data is scarce. This study focuses on the experimental and mathematical description of the dynamics of cell size and cell cycle position distributions, of a population of Saccharomyces cerevisiae, in response to the substrate consumption observed during batch cultivation. The good agreement between the proposed multi-scale model (a population balance model [PBM] coupled to an unstructured model) and experimental data (both the overall physiology and cell size and cell cycle distributions) indicates that a mechanistic model is a suitable tool for describing the microbial population dynamics in a bioreactor. This study therefore contributes towards the understanding of the development of heterogeneous populations during microbial cultivations. More generally, it consists of a step towards a paradigm change in the study and description of cell cultivations, where average cell behaviors observed experimentally now are interpreted as a potential joint result of various co-existing single-cell behaviors, rather than a unique response common to all cells in the cultivation. Biotechnol. Bioeng. 2013; 110: 812826. (c) 2012 Wiley Periodicals, Inc. | |
650 | 7 | a TEKNIK OCH TEKNOLOGIERx Industriell bioteknik0 (SwePub)2092 hsv//swe |
650 | 7 | a ENGINEERING AND TECHNOLOGYx Industrial Biotechnology0 (SwePub)2092 hsv//eng |
653 | a population balance model (PBM) | |
653 | a multiscale modeling | |
653 | a flow cytometry | |
653 | a standardized data analysis | |
653 | a Saccharomyces cerevisiae | |
653 | a total protein | |
653 | a content | |
653 | a cell cycle | |
700 | 1 | a Carlquist, Magnusu Lund University,Lunds universitet,Teknisk mikrobiologi,Centrum för tillämpade biovetenskaper,Kemiska institutionen,Institutioner vid LTH,Lunds Tekniska Högskola,Applied Microbiology,Center for Applied Life Sciences,Department of Chemistry,Departments at LTH,Faculty of Engineering, LTH4 aut0 (Swepub:lu)tmb-mca |
700 | 1 | a Lundin, Luisa4 aut |
700 | 1 | a Heins, Anna-Lena4 aut |
700 | 1 | a Dutta, Abhishek4 aut |
700 | 1 | a Sorensen, Soren J.4 aut |
700 | 1 | a Jensen, Anker D.4 aut |
700 | 1 | a Nopens, Ingmar4 aut |
700 | 1 | a Lantz, Anna Eliasson4 aut |
700 | 1 | a Gernaey, Krist V.4 aut |
710 | 2 | a Teknisk mikrobiologib Centrum för tillämpade biovetenskaper4 org |
773 | 0 | t Biotechnology and Bioengineeringd : Wileyg 110:3, s. 812-826q 110:3<812-826x 1097-0290x 0006-3592 |
856 | 4 | u http://dx.doi.org/10.1002/bit.24749y FULLTEXT |
856 | 4 8 | u https://lup.lub.lu.se/record/3577156 |
856 | 4 8 | u https://doi.org/10.1002/bit.24749 |
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