Infection strategies of bacterial and viral pathogens through pathogen-human protein-protein interactions

被引:60
|
作者
Tekir, Saliha Durmus [1 ]
Cakir, Tunahan [2 ]
Ulgen, Kutlu O. [1 ]
机构
[1] Bogazici Univ, Dept Chem Engn, Biosyst Engn Res Grp, TR-34342 Istanbul, Turkey
[2] Gebze Inst Technol, Dept Bioengn, Computat Syst Biol Grp, Kocaeli, Turkey
关键词
pathogen-human protein-protein interactions; PHISTO; infection strategy; hub; bottleneck; gene ontology; INTERACTION NETWORK; GENE ONTOLOGY; INHIBITION; APOPTOSIS; VIRUS; MACROPHAGES; MECHANISMS; PATHWAYS; DATABASE; COMPLEX;
D O I
10.3389/fmicb.2012.00046
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Since ancient times, even in today's modern world, infectious diseases cause lots of people to die. Infectious organisms, pathogens, cause diseases by physical interactions with human proteins. A thorough analysis of these interspecies interactions is required to provide insights about infection strategies of pathogens. Here we analyzed the most comprehensive available pathogen-human protein interaction data including 23,435 interactions, targeting 5,210 human proteins. The data were obtained from the newly developed pathogen host interaction search tool, PHISTO. This is the first comprehensive attempt to get a comparison between bacterial and viral infections. We investigated human proteins that are targeted by bacteria and viruses to provide an overview of common and special infection strategies used by these pathogen types. We observed that in the human protein interaction network the proteins targeted by pathogens have higher connectivity and betweenness centrality values than those proteins not interacting with pathogens. The preference of interacting with hub and bottleneck proteins is found to be a common infection strategy of all types of pathogens to manipulate essential mechanisms in human. Compared to bacteria, viruses tend to interact with human proteins of much higher connectivity and centrality values in the human network. Gene Ontology enrichment analysis of the human proteins targeted by pathogens indicates crucial clues about the infection mechanisms of bacteria and viruses. As the main infection strategy, bacteria interact with human proteins that function in immune response to disrupt human defense mechanisms. Indispensable viral strategy, on the other hand, is the manipulation of human cellular processes in order to use that transcriptional machinery for their own genetic material transcription. A novel observation about pathogen human systems is that the human proteins targeted by both pathogens are enriched in the regulation of metabolic processes.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] HMNPPID: A Database of Protein-protein Interactions Associated with Human Malignant Neoplasms
    Li, Qingqing
    Yang, Zhihao
    Zhao, Zhehuan
    Luo, Ling
    Li, Zhiheng
    Wang, Lei
    Zhang, Yin
    Lin, Hongfei
    Wang, Jian
    Zhang, Yijia
    PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2018, : 434 - 436
  • [32] A Graph-Based Approach for Finding the Dengue Infection Pathways in Humans Using Protein-Protein Interactions
    Dey, Lopamudra
    Mukhopadhyay, Anirban
    JOURNAL OF COMPUTATIONAL BIOLOGY, 2020, 27 (05) : 755 - 768
  • [33] Structural Principles Analysis of Host-Pathogen Protein-Protein Interactions: A Structural Bioinformatics Survey
    Chen, Huaming
    Guo, William
    Shen, Jun
    Wang, Lei
    Song, Jiangning
    IEEE ACCESS, 2018, 6 : 11760 - 11771
  • [34] Landscape of protein-protein interactions in Drosophila immune deficiency signaling during bacterial challenge
    Fukuyama, Hidehiro
    Verdier, Yann
    Guan, Yongsheng
    Makino-Okamura, Chieko
    Shilova, Victoria
    Liu, Xi
    Maksoud, Elie
    Matsubayashi, Jun
    Haddad, Iman
    Spirohn, Kerstin
    Ono, Kenichiro
    Hetru, Charles
    Rossier, Jean
    Ideker, Trey
    Boutros, Michael
    Vinh, Joelle
    Hoffmann, Jules A.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2013, 110 (26) : 10717 - 10722
  • [35] Current status and future perspectives of computational studies on human-virus protein-protein interactions
    Lian, Xianyi
    Yang, Xiaodi
    Yang, Shiping
    Zhang, Ziding
    BRIEFINGS IN BIOINFORMATICS, 2021, 22 (05)
  • [36] Inferring miRNA sponge co-regulation of protein-protein interactions in human breast cancer
    Zhang, Junpeng
    Thuc Duy Le
    Liu, Lin
    Li, Jiuyong
    BMC BIOINFORMATICS, 2017, 18
  • [37] Consolidating the set of known human protein-protein interactions in preparation for large-scale mapping of the human interactome
    Arun K Ramani
    Razvan C Bunescu
    Raymond J Mooney
    Edward M Marcotte
    Genome Biology, 6 (5)
  • [38] Functional network motifs defined through integration of protein-protein and genetic interactions
    Sahoo, Amruta
    Pechmann, Sebastian
    PEERJ, 2022, 10
  • [39] Pharmacologically controlling protein-protein interactions through epichaperomes for therapeutic vulnerability in cancer
    Joshi, Suhasini
    Gomes, Erica DaGama
    Wang, Tai
    Corben, Adriana
    Taldone, Tony
    Gandu, Srinivasa
    Xu, Chao
    Sharma, Sahil
    Buddaseth, Salma
    Yan, Pengrong
    Chan, Lon Yin L.
    Gokce, Askan
    Rajasekhar, Vinagolu K.
    Shrestha, Lisa
    Panchal, Palak
    Almodovar, Justina
    Digwal, Chander S.
    Rodina, Anna
    Merugu, Swathi
    Pillarsetty, NagaVaraKishore
    Miclea, Vlad
    Peter, Radu I.
    Wang, Wanyan
    Ginsberg, Stephen D.
    Tang, Laura
    Mattar, Marissa
    de Stanchina, Elisa
    Yu, Kenneth H.
    Lowery, Maeve
    Grbovic-Huezo, Olivera
    O'Reilly, Eileen M.
    Janjigian, Yelena
    Healey, John H.
    Jarnagin, William R.
    Allen, Peter J.
    Sander, Chris
    Erdjument-Bromage, Hediye
    Neubert, Thomas A.
    Leach, Steven D.
    Chiosis, Gabriela
    COMMUNICATIONS BIOLOGY, 2021, 4 (01)
  • [40] MST2-RASSF protein-protein interactions through SARAH domains
    Sanchez-Sanz, Goar
    Matallanas, David
    Nguyen, Lan K.
    Kholodenko, Boris N.
    Rosta, Edina
    Kolch, Walter
    Buchete, Nicolae-Viorel
    BRIEFINGS IN BIOINFORMATICS, 2016, 17 (04) : 593 - 602