Evidence map›Paper›PMID 31888434›Full record

ArticleBMC bioinformatics2019

ZDOG: zooming in on dominating genes with mutations in cancer pathways.

Rudi Alberts, Jinyu Chen, Louxin Zhang

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2019. 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 51% 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, 1 citations in OpenAlex.

  1. Saudi journal of biological sciences · 2021
    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 1 institution in 1 country.

Rudi AlbertsDepartment of Mathematics and Computational Biology Programme, National University of Singapore, Singapore, 119076, Singapore. rudi.alberts@nus.edu.sg.ORCID http://orcid.org/0000-0002-3654-4873
Jinyu ChenDepartment of Mathematics and Computational Biology Programme, National University of Singapore, Singapore, 119076, Singapore.
Louxin ZhangDepartment of Mathematics and Computational Biology Programme, National University of Singapore, Singapore, 119076, Singapore. matzlx@nus.edu.sg.ORCID http://orcid.org/0000-0003-0260-824X
National University of Singapore · SG

Funding

Singapore Research Foundation NRF2016NRF-NSFC001-026
6 · The paper itself

Abstract

backgroundInference of cancer-causing genes and their biological functions are crucial but challenging due to the heterogeneity of somatic mutations. The heterogeneity of somatic mutations reveals that only a handful of oncogenes mutate frequently and a number of cancer-causing genes mutate rarely.

resultsWe develop a Cytoscape app, named ZDOG, for visualization of the extent to which mutated genes may affect cancer pathways using the dominating tree model. The dominator tree model allows us to examine conveniently the positional importance of a gene in cancer signalling pathways. This tool facilitates the identification of mutated "master" regulators even with low mutation frequency in deregulated signalling pathways.

conclusionsWe have presented a model for facilitating the examination of the extent to which mutation in a gene may affect downstream components in a signalling pathway through its positional information. The model is implemented in a user-friendly Cytoscape app which will be freely available upon publication. AVAILABILITY: Together with a user manual, the ZDOG app is freely available at GitHub (https://github.com/rudi2013/ZDOG). It is also available in the Cytoscape app store (http://apps.cytoscape.org/apps/ZDOG) and users can easily install it using the Cytoscape App Manager.

Indexed as

Genes, DominantUser-Computer InterfaceBreast NeoplasmsFemaleHumansNeoplasmsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktCancer-causing genesCytoscape appDominator treePI3K/AKT signalling

Identifiers

PMID31888434
PMCPMC6937862
OpenAlexW2998037041

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.