Evidence map›Paper›PMID 29308605›Full record

ArticleJournal of Zhejiang University. Science. B

Gene locations may contribute to predicting gene regulatory relationships.

Jun Meng, Wen-Yuan Xu, Xiao Chen, Tao Lin, Xiao-Yu Deng

Open access · greenAbstract read
In one paragraph

Article in Journal of Zhejiang University. Science. B. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 54% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 countries.

Jun MengDepartment of System Science and Engineering, School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China.
Wen-Yuan XuDepartment of System Science and Engineering, School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China.
Xiao ChenDepartment of System Science and Engineering, School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China.
Tao LinLaboratory of Machine Learning and Optimization, École Polytechnique Fédérale de Lausanne (EPFL), Route Cantonale, 1015 Lausanne 999034, Switzerland.
Xiao-Yu DengDepartment of System Science and Engineering, School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China.
Zhejiang University of Science and Technology · CNSwiss Polar Institute · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose that locations of genes on chromosomes can contribute to the prediction of gene regulatory relationships. We constructed a time-based gene regulatory network of zebrafish cardiogenesis on the basis of a spatio-temporal neighborhood method. Through the network, specific regulatory pathways and order of gene expression during zebrafish cardiogenesis were obtained. By comparing the order with locations of these genes on chromosomes, we discovered that there exists a reversal phenomenon between the order and order of gene locations. The discovery provides an inherent rule to instruct exploration of gene regulatory relationships. Specifically, the discovery can help to predict if regulatory relationships between genes exist and contribute to evaluating the correctness of discovered gene regulatory relationships.

Indexed as

Chromosome MappingGene Regulatory NetworksAlgorithmsAnimalsChromosomesGene ExpressionHeartZebrafishPrediction; Gene regulatory relationships; Order of gene location; Spatio-temporal neighborhood method; Zebrafish cardiogenesis

Identifiers

PMID29308605
PMCPMC5802977
OpenAlexW2788551334

What OpenQuestion holds

Textmetadata
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.