Evidence map›Paper›PMID 30796530›Full record

ArticlePharmaceutical research2019

A Theoretical Model for the Cell Cycle and Drug Induced Cell Cycle Arrest of FUCCI Systems with Cell-to-Cell Variation during Mitosis.

Hyeonjeong Bae, Young-Hyun Go, Taejin Kwon, Bong June Sung, Hyuk-Jin Cha

Abstract read
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In one paragraph

Article in Pharmaceutical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 14 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

5 authors at 2 institutions in 1 country.

Hyeonjeong BaeDepartment of Chemistry, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul, 04107, South Korea.
Young-Hyun GoDepartment of Life Science, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul, 04107, South Korea.
Taejin KwonDepartment of Chemistry, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul, 04107, South Korea.
Bong June SungDepartment of Chemistry, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul, 04107, South Korea. bjsung@sogang.ac.kr.
Hyuk-Jin ChaCollege of Pharmacy, Seoul National University, 1 Gwanak-ro Gwanak-gu, Seoul, 08826, South Korea. hjcha93@snu.ac.kr.ORCID http://orcid.org/0000-0001-9277-2662
Sogang University · KRSeoul National University · KR

Funding

Korea Institute of Science and Technology Information KSC-2015-C2-001Ministry of Education 2018R1A6A1A03024940Seoul National University 370C-20180036
6 · The paper itself

Abstract

purposeSince the molecular mechanism of the cell cycle was established, various theoretical models of this process have been developed. A recent study revealed significant variability in cell cycle duration between mother and daughter cells, but this observation has not been incorporated into the theoretical models.

methodsWe used fluorescent ubiquitination-based cell cycle indicator (FUCCI) systems and live-monitored the heterogeneity of cell cycle progression within daughter cells, which accounts for dephasing synchrony. To incorporate the variable cell cycle durations into a model, we modified a two-ordinary differential equation (ODE) model based on reciprocal activation between CDK1 and APC.

resultsOur model reproduced the experimental population profile, in which cell cycle synchrony dephased due to variability. Based on this model, we determined parameters for CDK1 and APC in the cell cycle profile after treatment with antimitotic drugs and associated the parameters with the drugs' mode of action as cell cycle inhibitors.

conclusionThis suggests that this model is useful for determining the mode of action of unknown small molecules on the cell cycle.

Indexed as

Models, BiologicalAnaphase-Promoting Complex-CyclosomeAntimitotic AgentsBiosensing TechniquesCDC2 Protein KinaseCell Cycle CheckpointsComputer SimulationFemaleFluorescence Resonance Energy TransferHeLa CellsHumansMicroscopy, FluorescenceMitosisNumerical Analysis, Computer-AssistedStochastic ProcessesTime FactorsAnaphase-Promoting Complex-CyclosomeAntimitotic AgentsCDC2 Protein KinaseCDK1 protein, humancell cyclecell-to-cell variationFUCCIstochastictheoretical model

Identifiers

PMID30796530
OpenAlexW2915272586

What OpenQuestion holds

Textmetadata
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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.