Construction of a Pig Physical Interactome Using Sequence Homology and a Comprehensive Reference Human Interactome

被引:6
|
作者
Dreher, Felix [1 ]
Kamburov, Atanas [1 ]
Herwig, Ralf [1 ]
机构
[1] Max Planck Inst Mol Genet, Dept Vertebrate Genom, D-14195 Berlin, Germany
来源
关键词
pig protein-protein interactions; sequence homology; bioinformatics; interaction networks; genome analysis; PROTEIN INTERACTIONS; NETWORKS; PATTERNS;
D O I
10.4137/EBO.S8552
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The analysis of interaction networks is crucial for understanding molecular function and has an essential impact for genome-wide studies. However, the interactomes of most species are largely incomplete and computational strategies that take into account sequence homology can help compensating for this lack of information using cross-species analysis. In this work we report the construction of a porcine interactome resource. We applied sequence homology matching and carried out bi-directional BLASTp searches for the currently available protein sequence collections of human and pig. Using this homology we were able to recover, on average, 71% of the proteins annotated for human pathways for the pig. Porcine protein-protein interactions were deduced from homologous proteins with known interactions in human. The result of this work is a resource comprising 204,699 predicted porcine interactions that can be used in genome analyses in order to enhance functional interpretation of data. The data can be visualized and downloaded from http://cpdb.molgen.mpg.de/pig.
引用
收藏
页码:119 / 126
页数:8
相关论文
共 50 条
  • [21] Comprehensive interactome profiling of the human Hsp70 network highlights functional differentiation of J domains
    Piette, Benjamin L.
    Alerasool, Nader
    Lin, Zhen-Yuan
    Lacoste, Jessica
    Lam, Mandy Hiu Yi
    Qian, Wesley Wei
    Tran, Stephanie
    Larsen, Brett
    Campos, Eric
    Peng, Jian
    Gingras, Anne-Claude
    Taipale, Mikko
    MOLECULAR CELL, 2021, 81 (12) : 2549 - +
  • [22] Viral Targets in the Human Interactome with Comprehensive Centrality Analysis: SARS-CoV-2, a Case Study
    Kumar, Nilesh
    Mukhtar, M. Shahid
    DATA, 2024, 9 (08)
  • [23] Predicting human RNA quadruplex helicases through comparative sequence approaches and helicase mRNA interactome analyses
    Dupas, Steven J.
    Gussakovsky, Daniel
    Wai, Alvan
    Brown, Mira J. F.
    Hausner, Georg
    McKenna, Sean A.
    BIOCHEMISTRY AND CELL BIOLOGY, 2021, 99 (05) : 536 - 553
  • [24] The human ganglioside interactome in live cells revealed using clickable photoaffinity ganglioside probes
    Zhang, Gao-Lan
    Porter, Mitchell J.
    Awol, Abduselam K.
    Orsburn, Benjamin C.
    O'Meally, Robert N.
    Cole, Robert N.
    Schnaar, Ronald L.
    GLYCOBIOLOGY, 2023, 33 (11) : 984 - 985
  • [25] Comprehensive in vivo identification of the c-Myc mRNA protein interactome using HyPR-MS
    Spiniello, Michele
    Steinbrink, Maisie, I
    Cesnik, Anthony J.
    Miller, Rachel M.
    Scalf, Mark
    Shortreed, Michael R.
    Smith, Lloyd M.
    RNA, 2019, 25 (10) : 1337 - 1352
  • [26] The Human Ganglioside Interactome in Live Cells Revealed Using Clickable Photoaffinity Ganglioside Probes
    Zhang, Gao-Lan
    Porter, Mitchell J.
    Awol, Abduselam K.
    Orsburn, Benjamin C.
    Canner, Samuel W.
    Gray, Jeffrey J.
    O'Meally, Robert N.
    Cole, Robert N.
    Schnaar, Ronald L.
    JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 2024, 146 (26) : 17801 - 17816
  • [27] Mapping the Ku Interactome Using Proximity-Dependent Biotin Identification in Human Cells
    Abbasi, Sanna
    Schild-Poulter, Caroline
    JOURNAL OF PROTEOME RESEARCH, 2019, 18 (03) : 1064 - 1077
  • [28] Characterization of the pVHL Interactome in Human Testis Using High-Throughput Library Screening
    Falconieri, Antonella
    Minervini, Giovanni
    Quaglia, Federica
    Sartori, Geppo
    Tosatto, Silvio C. E.
    CANCERS, 2022, 14 (04)
  • [29] Comprehensive analysis of the human ESCRT-III-MIT domain interactome reveals new cofactors for cytokinetic abscission
    Wenzel, Dawn M.
    Mackay, Douglas R.
    Skalicky, Jack J.
    Paine, Elliott L.
    Miller, Matthew S.
    Ullman, Katharine S.
    Sundquist, Wesley, I
    Roux, Aurelien
    ELIFE, 2022, 11
  • [30] Multi-schema computational prediction of the comprehensive SARS-CoV-2 vs. human interactome
    Dick, Kevin
    Chopra, Anand
    Biggar, Kyle K.
    Green, James R.
    PEERJ, 2021, 9