Evidence map›Paper›PMID 32075651›Full record

ArticleBMC medical genomics2020

Effects of ordered mutations on dynamics in signaling networks.

Maulida Mazaya, Hung-Cuong Trinh, Yung-Keun Kwon

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 57% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

3 authors at 2 institutions in 2 countries.

Maulida MazayaSchool of IT Convergence, University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan, 44610, Republic of Korea.
Hung-Cuong TrinhFaculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
Yung-Keun KwonSchool of IT Convergence, University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan, 44610, Republic of Korea. kwonyk@ulsan.ac.kr.ORCID 0000-0001-5879-8703
University of Ulsan · KRTon Duc Thang University · VN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany previous clinical studies have found that accumulated sequential mutations are statistically related to tumorigenesis. However, they are limited in fully elucidating the significance of the ordered-mutation because they did not focus on the network dynamics. Therefore, there is a pressing need to investigate the dynamics characteristics induced by ordered-mutations.

methodsTo quantify the ordered-mutation-inducing dynamics, we defined the mutation-sensitivity and the order-specificity that represent if the network is sensitive against a double knockout mutation and if mutation-sensitivity is specific to the mutation order, respectively, using a Boolean network model.

resultsThrough intensive investigations, we found that a signaling network is more sensitive when a double-mutation occurs in the direction order inducing a longer path and a smaller number of paths than in the reverse order. In addition, feedback loops involving a gene pair decreased both the mutation-sensitivity and the order-specificity. Next, we investigated relationships of functionally important genes with ordered-mutation-inducing dynamics. The network is more sensitive to mutations subject to drug-targets, whereas it is less specific to the mutation order. Both the sensitivity and specificity are increased when different-drug-targeted genes are mutated. Further, we found that tumor suppressors can efficiently suppress the amplification of oncogenes when the former are mutated earlier than the latter.

conclusionTaken together, our results help to understand the importance of the order of mutations with respect to the dynamical effects in complex biological systems.

Indexed as

MutationComputational BiologyDatasets as TopicDrug Delivery SystemsGenes, Tumor SuppressorHumansMetabolic Networks and PathwaysModels, BiologicalNeoplasmsOncogenesSignal TransductionBoolean dynamicsMutation-sensitivityOrdered-mutationsOrder-specificitySignaling networks

Identifiers

PMID32075651
PMCPMC7032007
OpenAlexW3008016729

What OpenQuestion holds

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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.