Basic and Clinical Neuroscience Journal
مجله علوم اعصاب پایه و بالینی
BCN
Medical Sciences
http://bcn.iums.ac.ir
137
journal137
2008-126X
2228-7442
10.32598/bcn
en
jalali
1389
8
1
gregorian
2010
11
1
2
1
online
1
fulltext
en
Comparison of Hubs in Effective Normal and Tumor Protein Interaction Networks
Cellular and molecular Neuroscience
Cellular and molecular Neuroscience
Original
Original
<p style="DIRECTION: ltr"><strong>ABSTRACT</strong></p><p style="DIRECTION: ltr" align="justify"><b><font color="#211d1e" size="2"><font color="#211d1e" size="2">Introduction: </font></font><font color="#211d1e" size="2" face="Times New Roman,Times New Roman"><font color="#211d1e" size="2" face="Times New Roman,Times New Roman"><font color="#211d1e" size="2" face="Times New Roman,Times New Roman">Cancer is caused by genetic abnormalities, such as mutation of ontogenesis or tumor suppressor genes which alter downstream signaling pathways and protein-protein interactions. Comparison of protein interactions in cancerous and normal cells can be of help in mechanisms of disease diagnoses and treatments. </font></font></font><b><font color="#211d1e" size="2"><font color="#211d1e" size="2"><p style="DIRECTION: ltr" align="justify">Methods: </p></font></font><font color="#211d1e" size="2" face="Times New Roman,Times New Roman"><font color="#211d1e" size="2" face="Times New Roman,Times New Roman"><font color="#211d1e" size="2" face="Times New Roman,Times New Roman">We constructed protein interaction networks of cancerous and normal cells. These protein interaction networks are constructed using gene-expression profiles measured from different samples of cancerous and normal tissues from four different parts of the body including colon, prostate, lung, and central nervous system. We used pattern recognition techniques to construct these networks. We calculated ten graph related parameters including closeness centrality, graph diameter, index of aggregation, entropy of edge distribution, connectivity, number of edges divided by the number of vertices, entropy, graph centrality, sum of the wiener number, and modified vertex distance numbers for each of the cancerous and normal protein interaction networks. We have also compared number of edges and hubs of the both cancerous and normal resultant protein interaction networks. </font></font></font><b><font color="#211d1e" size="2"><font color="#211d1e" size="2"><p style="DIRECTION: ltr" align="justify">Results and Discussion: </p></font></font><font color="#211d1e" size="2" face="Times New Roman,Times New Roman"><font color="#211d1e" size="2" face="Times New Roman,Times New Roman"><font color="#211d1e" size="2" face="Times New Roman,Times New Roman">Our results show that in the studied tissue samples, effective normal protein interaction networks are denser in number of edges and hubs compared with their corresponding effective cancerous protein interaction networks. Number of hubs in effective cancerous protein interaction networks decreases dramatically in comparison with normal tissues. This can be used as a symptom for identification of cancerous tissues.</font></font></font></b></b></b></p>
Cancer,Protein Interaction,Network.
44
50
http://bcn.iums.ac.ir/browse.php?a_code=A-10-2-9&slc_lang=en&sid=1
Mitra
Mirzarezaee
137003194753284600555
137003194753284600555
Yes
Babak
N. Araabi
137003194753284600556
137003194753284600556
No
Mehdi
Sadeghi
137003194753284600557
137003194753284600557
No