Evidence map›Paper›PMID 32019595›Full record

ArticleBMC research notes2020

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

Túlio Felipe Pereira, Gabriel Levin, Carlos DeOcesano-Pereira, Amanda Schiersner Caodaglio, André Fujita, Aldo Tonso, Mari Cleide Sogayar

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Túlio Felipe PereiraCell 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.
Gabriel LevinCell 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-PereiraCell 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.
Amanda Schiersner CaodaglioCell 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 FujitaDepartment of Computer Science, Institute of Mathematics and Statistics, University of São Paulo, São Paulo, SP, Brazil.
Aldo TonsoDepartment of Chemical Engineering, Polytechnic School, University of São Paulo, São Paulo, SP, Brazil.
Mari Cleide SogayarCell 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.ORCID http://orcid.org/0000-0003-4805-4609
Universidade de São Paulo · BR

Funding

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

Abstract

objectiveCell 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.

resultsThe 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.

Indexed as

Cell AdhesionCell CountCell ProliferationCellsFluoresceinsFluorescenceHEK293 CellsHumansSuccinimides5-(6)-carboxyfluorescein diacetate succinimidyl esterFluoresceinsSuccinimidesCell proliferation assessmentDoubling time determinationFluorescence-based methodGrowth curves

Identifiers

PMID32019595
PMCPMC7001368
OpenAlexW3011444063

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.