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Search: WFRF:(Lundin Anna) > (2010-2014) > Cell mass and cell ...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004033naa a2200493 4500
001oai:lup.lub.lu.se:354d05b0-57d8-4a58-bdc4-62788cdf3d2b
003SwePub
008160401s2013 | |||||||||||000 ||eng|
024a https://lup.lub.lu.se/record/35771562 URI
024a https://doi.org/10.1002/bit.247492 DOI
040 a (SwePub)lu
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
100a Fernandes, Rita Lencastre4 aut
2451 0a 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 1b 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 7a TEKNIK OCH TEKNOLOGIERx Industriell bioteknik0 (SwePub)2092 hsv//swe
650 7a 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
700a 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
700a Lundin, Luisa4 aut
700a Heins, Anna-Lena4 aut
700a Dutta, Abhishek4 aut
700a Sorensen, Soren J.4 aut
700a Jensen, Anker D.4 aut
700a Nopens, Ingmar4 aut
700a Lantz, Anna Eliasson4 aut
700a Gernaey, Krist V.4 aut
710a Teknisk mikrobiologib Centrum för tillämpade biovetenskaper4 org
773t Biotechnology and Bioengineeringd : Wileyg 110:3, s. 812-826q 110:3<812-826x 1097-0290x 0006-3592
856u http://dx.doi.org/10.1002/bit.24749y FULLTEXT
8564 8u https://lup.lub.lu.se/record/3577156
8564 8u https://doi.org/10.1002/bit.24749

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