Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells.


Journal

BMC research notes
ISSN: 1756-0500
Titre abrégé: BMC Res Notes
Pays: England
ID NLM: 101462768

Informations de publication

Date de publication:
04 Feb 2020
Historique:
received: 16 07 2019
accepted: 22 01 2020
entrez: 6 2 2020
pubmed: 6 2 2020
medline: 24 10 2020
Statut: epublish

Résumé

Cell growth curves constitute one of the primary assays employed to analyze cell proliferation dynamics of in vitro cultured cells under specific culture conditions. From the cell growth curve, it is possible to assess the behavior of proliferating cells under different conditions, such as drug treatment and genomic editions. Traditionally, growth curves for adherent cells are obtained by seeding the cells in multiple-well plates and counting the total number of cells at different time points. Here, we compare this traditional method to the fluorescence-based method, which is based on the CFSE fluorescence decay over time. The fluorescence-based method is not dependent on the determination of the total number of cells, but rather is approached by assessing the fluorescence of a sample of single cells from a cell population at different time points after plating. Therefore, this method is not biased due to either cell loss during harvesting or to the presence of cellular debris and cell clumps. Moreover, the fluorescence-based method displays lower variation among different measurements of the same time point, which increases the reliability on the determination of lag, log and stationary phase transitions.

Identifiants

pubmed: 32019595
doi: 10.1186/s13104-020-4914-8
pii: 10.1186/s13104-020-4914-8
pmc: PMC7001368
doi:

Substances chimiques

5-(6)-carboxyfluorescein diacetate succinimidyl ester 0
Fluoresceins 0
Succinimides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

57

Subventions

Organisme : Fundação de Amparo à Pesquisa do Estado de São Paulo
ID : 2016/01626-9
Organisme : Fundação de Amparo à Pesquisa do Estado de São Paulo
ID : 2016/05311-2
Organisme : Financiadora de Estudos e Projetos
ID : 51634-1AD
Organisme : Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
ID : 23038.004161/2012-92
Organisme : Conselho Nacional de Desenvolvimento Científico e Tecnológico
ID : 148658/2013-0
Organisme : Conselho Nacional de Desenvolvimento Científico e Tecnológico
ID : 401430/2013-8
Organisme : Conselho Nacional de Desenvolvimento Científico e Tecnológico
ID : 457601/2013-2
Organisme : Conselho Nacional de Desenvolvimento Científico e Tecnológico
ID : 465656/2014-5

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Auteurs

Túlio Felipe Pereira (TF)

Cell and Molecular Therapy Center (NUCEL), Department of Internal Medicine, School of Medicine, University of São Paulo, Rua Pangaré, 100, Cidade Universitária, São Paulo, SP, 05360-130, Brazil.
Department of Biochemistry, Chemistry Institute, University of São Paulo, São Paulo, SP, Brazil.

Gabriel Levin (G)

Cell and Molecular Therapy Center (NUCEL), Department of Internal Medicine, School of Medicine, University of São Paulo, Rua Pangaré, 100, Cidade Universitária, São Paulo, SP, 05360-130, Brazil.

Carlos DeOcesano-Pereira (C)

Cell and Molecular Therapy Center (NUCEL), Department of Internal Medicine, School of Medicine, University of São Paulo, Rua Pangaré, 100, Cidade Universitária, São Paulo, SP, 05360-130, Brazil.
Centre of Excellence in New Target Discovery (CENTD), Butantan Institute, São Paulo, SP, Brazil.

Amanda Schiersner Caodaglio (AS)

Cell and Molecular Therapy Center (NUCEL), Department of Internal Medicine, School of Medicine, University of São Paulo, Rua Pangaré, 100, Cidade Universitária, São Paulo, SP, 05360-130, Brazil.

André Fujita (A)

Department of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, SP, Brazil.

Aldo Tonso (A)

Department of Chemical Engineering, Polytechnic School, University of São Paulo, São Paulo, SP, Brazil.

Mari Cleide Sogayar (MC)

Cell and Molecular Therapy Center (NUCEL), Department of Internal Medicine, School of Medicine, University of São Paulo, Rua Pangaré, 100, Cidade Universitária, São Paulo, SP, 05360-130, Brazil. mcsoga@iq.usp.br.
Department of Biochemistry, Chemistry Institute, University of São Paulo, São Paulo, SP, Brazil. mcsoga@iq.usp.br.

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Classifications MeSH