Evidence map›Paper›PMID 40565536›Full record

ArticleGenes2025

Active Protein Network Analysis Reveals Coordinated Modules and Critical Proteins Involving Extracellular Electron Transfer Process.

Dewu Ding, Wei Wang, Meineng Wang, Jianming Xie

Abstract read
In one paragraph

Article in Genes, 2025. 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
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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

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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.

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

4 authors.

Dewu DingSchool of Mathematics and Computer Science, Yichun University, Yichun 336000, China.ORCID 0000-0002-6956-0626
Wei WangSchool of Mathematics and Computer Science, Yichun University, Yichun 336000, China.
Meineng WangSchool of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, China.
Jianming XieSchool of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.

Funding

National Natural Science Foundation of China 62161050
6 · The paper itself

Abstract

backgroundTraditional differential expression analysis typically identifies genes with varying expression levels and uses them to construct networks. However, this approach often fails to capture changes in gene interactions that occur at constant gene expression levels.

objectivesTo address this limitation, this study investigated the dynamics of protein interactions through active networks under various conditions, focusing on

methodsWe constructed both condition-specific and time-course active protein networks using gene expression and protein interaction data from

resultsOur analysis revealed several functional modules that were active and well-coordinated under different extracellular electron transfer (EET) conditions. Notably, despite ongoing environmental changes, the dynamics of protein interactions in these networks primarily revolved around two central proteins, SO_0225 and SO_2402. These proteins play crucial roles in coordinating interaction dynamics under oxygen-limited conditions. Additionally, our time-course network analysis elucidated the activation stages of the classical Mtr pathway.

conclusionsThis article highlights the dynamic reorganization of protein interaction networks in

Indexed as

Bacterial ProteinsProtein Interaction MapsShewanellaElectron TransportGene Expression Regulation, BacterialGene Regulatory NetworksBacterial Proteinsactive networkscoordinated modulescritical proteinsextracellular electron transferprotein networks

Identifiers

PMID40565536
PMCPMC12191902

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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.