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A Systems Biology Driven Approach to Map the EP300 Interactors Using Comprehensive Protein Interaction Network

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Advances in Bioinformatics and Computational Biology (BSB 2020)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 12558))

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Abstract

EP300 is one of the putative tumor-suppressor genes and is mutated/deleted, under expressed/overexpressed in several types of cancer. The role of EP300 and its interactions during cancer is crucial to explore its reprogramming events that lead to malignant phenotype and acquisition of drug resistance. In this context, all the experimentally valid EP300 interactors were collected from the primary protein-protein interaction (PPI) databases and followed by tracing their subcellular location using the UniProtKB database. Further, all the EP300 interactors were categorized based on their subcellular location and functionally annotated with the DAVID gene ontology tool. Subsequently, the interactome of EP300 with its interactors was constructed and identified TP53, CREBBP, JUN, HDAC1, CTNNB1, MYC, PCNA, HDAC2, FOS, and KAT2B as the top first neighbors of EP300. Together, the present analysis gives a comprehensive overview on EP300 interactors located in different subcellular locations.

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Acknowledgement

The work was supported by Act 211 Government of the Russian Federation, contract 02.A03.21.0011 and by the Ministry of Science and Higher Education of Russia (Grant FENU-2020–0019).

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Authors and Affiliations

  1. Laboratory of Computational Modeling of Drugs, Higher Medical and Biological School, South Ural State University, Chelyabinsk, 454080, Russia

    Shivananda Kandagalla, Maria Grishina & Vladimir Potemkin

  2. Department of PG Studies and Research in Biotechnology and Bioinformatics, Kuvempu University, JnanaSahyadri, Shankaraghatta, Shivamogga, 577451, Karnataka, India

    Sharath Belenahalli Shekarappa

  3. Central Research Lab, K.S. Medical Academy, Nitte University (Deemed To Be University), Deralakatte, Mangalore, 575018, Karnataka, India

    Pavan Gollapalli

Authors
  1. Shivananda Kandagalla
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  2. Maria Grishina
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  3. Vladimir Potemkin
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  4. Sharath Belenahalli Shekarappa
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  5. Pavan Gollapalli
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Corresponding authors

Correspondence to Shivananda Kandagalla or Vladimir Potemkin .

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Editors and Affiliations

  1. University of São Paulo, São Paulo, Brazil

    João C. Setubal

  2. Instituto Federal de Goiás, Formosa, Goiás, Brazil

    Waldeyr Mendes Silva

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All authors declared that they have no competing interest.

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Kandagalla, S., Grishina, M., Potemkin, V., Shekarappa, S.B., Gollapalli, P. (2020). A Systems Biology Driven Approach to Map the EP300 Interactors Using Comprehensive Protein Interaction Network. In: Setubal, J.C., Silva, W.M. (eds) Advances in Bioinformatics and Computational Biology. BSB 2020. Lecture Notes in Computer Science(), vol 12558. Springer, Cham. https://doi.org/10.1007/978-3-030-65775-8_19

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  • DOI: https://doi.org/10.1007/978-3-030-65775-8_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65774-1

  • Online ISBN: 978-3-030-65775-8

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