Literature DB >> 34211067

Introducing the novel Cytoscape app TimeNexus to analyze time-series data using temporal MultiLayer Networks (tMLNs).

Michaël Pierrelée1, Ana Reynders2, Fabrice Lopez3, Aziz Moqrich2, Laurent Tichit4, Bianca H Habermann5,6.   

Abstract

Integrating -omics data with biological networks such as protein-protein interaction networks is a popular and useful approach to interpret expression changes of genes in changing conditions, and to identify relevant cellular pathways, active subnetworks or network communities. Yet, most -omics data integration tools are restricted to static networks and therefore cannot easily be used for analyzing time-series data. Determining regulations or exploring the network structure over time requires time-dependent networks which incorporate time as one component in their structure. Here, we present a method to project time-series data on sequential layers of a multilayer network, thus creating a temporal multilayer network (tMLN). We implemented this method as a Cytoscape app we named TimeNexus. TimeNexus allows to easily create, manage and visualize temporal multilayer networks starting from a combination of node and edge tables carrying the information on the temporal network structure. To allow further analysis of the tMLN, TimeNexus creates and passes on regular Cytoscape networks in form of static versions of the tMLN in three different ways: (i) over the entire set of layers, (ii) over two consecutive layers at a time, (iii) or on one single layer at a time. We combined TimeNexus with the Cytoscape apps PathLinker and AnatApp/ANAT to extract active subnetworks from tMLNs. To test the usability of our app, we applied TimeNexus together with PathLinker or ANAT on temporal expression data of the yeast cell cycle and were able to identify active subnetworks relevant for different cell cycle phases. We furthermore used TimeNexus on our own temporal expression data from a mouse pain assay inducing hindpaw inflammation and detected active subnetworks relevant for an inflammatory response to injury, including immune response, cell stress response and regulation of apoptosis. TimeNexus is freely available from the Cytoscape app store at https://apps.cytoscape.org/apps/TimeNexus .

Entities:  

Year:  2021        PMID: 34211067     DOI: 10.1038/s41598-021-93128-5

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  39 in total

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3.  A critical look at the subluxation hypothesis: commentary.

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Journal:  Sci Rep       Date:  2019-04-02       Impact factor: 4.379

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Authors:  Theodosia Charitou; Kenneth Bryan; David J Lynn
Journal:  Genet Sel Evol       Date:  2016-03-31       Impact factor: 4.297

9.  Temporal ordering of omics and multiomic events inferred from time-series data.

Authors:  Sandeep Kaur; Timothy J Peters; Pengyi Yang; Laurence Don Wai Luu; Jenny Vuong; James R Krycer; Seán I O'Donoghue
Journal:  NPJ Syst Biol Appl       Date:  2020-07-16

10.  Comparative analysis of differential gene expression tools for RNA sequencing time course data.

Authors:  Daniel Spies; Peter F Renz; Tobias A Beyer; Constance Ciaudo
Journal:  Brief Bioinform       Date:  2019-01-18       Impact factor: 11.622

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  1 in total

1.  Construction of a competing endogenous RNA network in head and neck squamous cell carcinoma by pan-cancer analysis.

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Journal:  Transl Cancer Res       Date:  2022-09       Impact factor: 0.496

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