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Functional Characterization of Transcriptional Regulatory Networks of Yeast Species

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Network Science (NetSci-X 2022)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 13197))

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Abstract

Transcriptional regulatory networks are responsible for controlling gene expression. These networks are composed of many interactions between transcription factors and their target genes. Carrying a combinatorial nature that encompasses several regulatory processes, they allow an organism to respond to disturbances that may occur in the surrounding environment. In this work, we study transcriptional regulatory networks of closely related yeast species with the aim of revealing which functions or processes are encoded in the regulatory network topology. The first phase of this work consists of the detection of modules followed by their functional characterization. Here, we unveil the functionality of the species by capturing it in functional modules. In the second phase, we move towards a cross-species analysis where we compare the functional modules of the different species to settle the similarities between them. Lastly, we use a multilayer network approach to combine the genetic information of different species. We seek to identify the functional elements conserved across the different organisms by applying a detection of modules in the multilayer network.

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Notes

  1. 1.

    http://geneontology.org/.

  2. 2.

    http://yeastract-plus.org.

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Acknowledgements

This work was supported by national funds through Fundação para a Ciência e a Tecnologia (FCT) with references PTDC/BII-BIO/28216/2017 and PTDC/CCI-BIO/29676/2017, UIDB/50021/2020 and UIDP/00408/2020 (INESC-ID and LASIGE multi-annual funding, respectively).

Author information

Authors and Affiliations

  1. Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal

    Paulo Dias & Pedro T. Monteiro

  2. INESC-ID, Lisboa, Portugal

    Pedro T. Monteiro & Andreia Sofia Teixeira

  3. LASIGE, Departamento de Informática, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal

    Andreia Sofia Teixeira

Authors
  1. Paulo Dias
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  2. Pedro T. Monteiro
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  3. Andreia Sofia Teixeira
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Corresponding author

Correspondence to Paulo Dias .

Editor information

Editors and Affiliations

  1. University of Porto, Porto, Portugal

    Pedro Ribeiro

  2. University of Porto, Porto, Portugal

    Fernando Silva

  3. University of Aveiro, Aveiro, Portugal

    José Fernando Mendes

  4. Iscte – Instituto Universitário de Lisboa, Lisbon, Portugal

    Rosário Laureano

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Dias, P., Monteiro, P.T., Teixeira, A.S. (2022). Functional Characterization of Transcriptional Regulatory Networks of Yeast Species. In: Ribeiro, P., Silva, F., Mendes, J.F., Laureano, R. (eds) Network Science. NetSci-X 2022. Lecture Notes in Computer Science(), vol 13197. Springer, Cham. https://doi.org/10.1007/978-3-030-97240-0_11

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  • DOI: https://doi.org/10.1007/978-3-030-97240-0_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97239-4

  • Online ISBN: 978-3-030-97240-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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