Analysis of Protein Interaction Network for Colorectal Cancer

被引:0
作者
Ristovski, Zlate [1 ]
Trivodaliev, Kire [1 ]
Kalajdziski, Slobodan [1 ]
机构
[1] Ss Cyril & Methodius Univ, Fac Comp Sci & Engn, Skopje, Macedonia
来源
ICT INNOVATIONS 2016: COGNITIVE FUNCTIONS AND NEXT GENERATION ICT SYSTEMS | 2018年 / 665卷
关键词
Colorectal cancer; Protein-protein interaction network; Network analysis; Gene Ontology; Clustering; Cytoscape; GENE ONTOLOGY; TRANSCRIPTOME; DATABASE;
D O I
10.1007/978-3-319-68855-8_14
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we create and analyze a protein-protein interaction network (PPIN) of colorectal cancer (CRC). First we identify proteins that are related to the CRC (set of seed proteins). Using this set we generate the CRC PPIN with the help of Cytoscape. We analyze this PPIN in a twofold manner. We first extract important topological features for proteins in the network which we use to determine CRC essential proteins. Next we perform a modular analysis by discovering CRC significant functional terms through the process of GO enrichment within densely connected subgroups (clusters) of the PPIN. The modular analysis results in a mapping from the CRC significant terms to CRC significant proteins. Finally, we combine the topological and modular evidence for the proteins in the CRC PPIN, exclude the initial seed proteins and obtain a list of proteins that could be taken as possible bio-markers for CRC.
引用
收藏
页码:146 / 155
页数:10
相关论文
共 20 条
  • [1] Molecular networks and system-level properties
    Alberghina, Lilia
    Hoefer, Thomas
    Vanoni, Marco
    [J]. JOURNAL OF BIOTECHNOLOGY, 2009, 144 (03) : 224 - 233
  • [2] [Anonymous], NUCL ACIDS RES
  • [3] Predicting cancer involvement of genes from heterogeneous data
    Aragues, Ramon
    Sander, Chris
    Oliva, Baldo
    [J]. BMC BIOINFORMATICS, 2008, 9 (1)
  • [4] PSICQUIC and PSISCORE: accessing and scoring molecular interactions
    Aranda, Bruno
    Blankenburg, Hagen
    Kerrien, Samuel
    Brinkman, Fiona S. L.
    Ceol, Arnaud
    Chautard, Emilie
    Dana, Jose M.
    De Las Rivas, Javier
    Dumousseau, Marine
    Galeota, Eugenia
    Gaulton, Anna
    Goll, Johannes
    Hancock, Robert E. W.
    Isserlin, Ruth
    Jimenez, Rafael C.
    Kerssemakers, Jules
    Khadake, Jyoti
    Lynn, David J.
    Michaut, Magali
    O'Kelly, Gavin
    Ono, Keiichiro
    Orchard, Sandra
    Prieto, Carlos
    Razick, Sabry
    Rigina, Olga
    Salwinski, Lukasz
    Simonovic, Milan
    Velankar, Sameer
    Winter, Andrew
    Wu, Guanming
    Bader, Gary D.
    Cesareni, Gianni
    Donaldson, Ian M.
    Eisenberg, David
    Kleywegt, Gerard J.
    Overington, John
    Ricard-Blum, Sylvie
    Tyers, Mike
    Albrecht, Mario
    Hermjakob, Henning
    [J]. NATURE METHODS, 2011, 8 (07) : 528 - 529
  • [5] An automated method for finding molecular complexes in large protein interaction networks
    Bader, GD
    Hogue, CW
    [J]. BMC BIOINFORMATICS, 2003, 4 (1)
  • [6] Bader GD, 2003, NUCLEIC ACIDS RES, V31, P248, DOI 10.1093/nar/gkg056
  • [7] Emergence of scaling in random networks
    Barabási, AL
    Albert, R
    [J]. SCIENCE, 1999, 286 (5439) : 509 - 512
  • [8] ClueGO: a Cytoscape plug-in to decipher functionally grouped gene ontology and pathway annotation networks
    Bindea, Gabriela
    Mlecnik, Bernhard
    Hackl, Hubert
    Charoentong, Pornpimol
    Tosolini, Marie
    Kirilovsky, Amos
    Fridman, Wolf-Herman
    Pages, Franck
    Trajanoski, Zlatko
    Galon, Jerome
    [J]. BIOINFORMATICS, 2009, 25 (08) : 1091 - 1093
  • [9] Forbes S. A., 2010, NUCLEIC ACIDS RES
  • [10] The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists
    Huang, Da Wei
    Sherman, Brad T.
    Tan, Qina
    Collins, Jack R.
    Alvord, W. Gregory
    Roayaei, Jean
    Stephens, Robert
    Baseler, Michael W.
    Lane, H. Clifford
    Lempicki, Richard A.
    [J]. GENOME BIOLOGY, 2007, 8 (09)