Revealing the Strong Functional Association of adipor2 and cdh13 with adipoq: A Gene Network Study

被引:6
作者
Bag, Susmita [1 ]
Anbarasu, Anand [1 ]
机构
[1] VIT Univ, Sch Biosci & Technol, Med & Biol Comp Lab, Vellore 632014, Tamil Nadu, India
关键词
Gene networks; Adipoq; Adipor2; Cdh13; Obesity; LOW ADIPONECTIN LEVELS; SYSTEMIC INFLAMMATION; SKELETAL-MUSCLE; CADHERIN GENES; BREAST-CANCER; EXPRESSION; OBESITY; RECEPTORS; DISEASE; METHYLATION;
D O I
10.1007/s12013-014-0367-9
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
In the present study, we have analyzed functional gene interactions of adiponectin gene (adipoq). The key role of adipoq is in regulating energy homeostasis and it functions as a novel signaling molecule for adipose tissue. Modules of highly inter-connected genes in disease-specific adipoq network are derived by integrating gene function and protein interaction data. Among twenty genes in adipoq web, adipoq is effectively conjoined with two genes: Adiponectin receptor 2 (adipor2) and cadherin 13 (cdh13). The functional analysis is done via ontological briefing and candidate disease identification. We observed that the highly efficient-interlinked genes connected with adipoq are adipor2 and cdh13. Interestingly, the ontological aspect of adipor2 and cdh13 in the adipoq network reveal the fact that adipoq and adipor2 are involved mostly in glucose and lipid metabolic processes. The gene cdh13 indulge in cell adhesion process with adipoq and adipor2. Our computational gene web analysis also predicts potential candidate disease recognition, thus indicating the involvement of adipoq, adipor2, and cdh13 with not only with obesity but also with breast cancer, leukemia, renal cancer, lung cancer, and cervical cancer. The current study provides researchers a comprehensible layout of adipoq network, its functional strategies and candidate disease approach associated with adipoq network.
引用
收藏
页码:1445 / 1456
页数:12
相关论文
共 78 条
[1]   The Biomolecular Interaction Network Database and related tools 2005 update [J].
Alfarano, C ;
Andrade, CE ;
Anthony, K ;
Bahroos, N ;
Bajec, M ;
Bantoft, K ;
Betel, D ;
Bobechko, B ;
Boutilier, K ;
Burgess, E ;
Buzadzija, K ;
Cavero, R ;
D'Abreo, C ;
Donaldson, I ;
Dorairajoo, D ;
Dumontier, MJ ;
Dumontier, MR ;
Earles, V ;
Farrall, R ;
Feldman, H ;
Garderman, E ;
Gong, Y ;
Gonzaga, R ;
Grytsan, V ;
Gryz, E ;
Gu, V ;
Haldorsen, E ;
Halupa, A ;
Haw, R ;
Hrvojic, A ;
Hurrell, L ;
Isserlin, R ;
Jack, F ;
Juma, F ;
Khan, A ;
Kon, T ;
Konopinsky, S ;
Le, V ;
Lee, E ;
Ling, S ;
Magidin, M ;
Moniakis, J ;
Montojo, J ;
Moore, S ;
Muskat, B ;
Ng, I ;
Paraiso, JP ;
Parker, B ;
Pintilie, G ;
Pirone, R .
NUCLEIC ACIDS RESEARCH, 2005, 33 :D418-D424
[2]   Computational gene network study on antibiotic resistance genes of Acinetobacter baumannii [J].
Anitha, P. ;
Anbarasu, Anand ;
Ramaiah, Sudha .
COMPUTERS IN BIOLOGY AND MEDICINE, 2014, 48 :17-27
[3]  
[Anonymous], 2000, WHO TECH REP SER
[4]   Adiponectin suppresses hepatic SREBP1c expression in an AdipoR1/LKB1/AMPK dependent pathway [J].
Awazawa, Motoharu ;
Ueki, Kohjiro ;
Inabe, Kazunori ;
Yamauchi, Toshimasa ;
Kaneko, Kazuma ;
Okazaki, Yukiko ;
Bardeesy, Nabeel ;
Ohnishi, Shin ;
Nagai, Ryozo ;
Kadowaki, Takashi .
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2009, 382 (01) :51-56
[5]  
Belahsen R, 2005, INT J DIABETES METAB, V13, P159, DOI DOI 10.1159/000497585
[6]   DNA methylation markers and early recurrence in stage I lung cancer [J].
Brock, Malcolm V. ;
Hooker, Craig M. ;
Ota-Machida, Emi ;
Han, Yu ;
Guo, Mingzhou ;
Ames, Stephen ;
Gloeckner, Sabine ;
Piantadosi, Steven ;
Gabrielson, Edward ;
Pridham, Genevieve ;
Pelosky, Kristen ;
Belinsky, Steven A. ;
Yang, Stephen C. ;
Baylin, Stephen B. ;
Herman, James G. .
NEW ENGLAND JOURNAL OF MEDICINE, 2008, 358 (11) :1118-1128
[7]   Low Adiponectin Levels Are an Independent Predictor of Mixed and Non-Calcified Coronary Atherosclerotic Plaques [J].
Broedl, Uli C. ;
Lebherz, Corinna ;
Lehrke, Michael ;
Stark, Renee ;
Greif, Martin ;
Becker, Alexander ;
von Ziegler, Franz ;
Tittus, Janine ;
Reiser, Maximilian ;
Becker, Christoph ;
Goeke, Burkhard ;
Parhofer, Klaus G. ;
Leber, Alexander W. .
PLOS ONE, 2009, 4 (03)
[8]   A network-based analysis of systemic inflammation in humans [J].
Calvano, SE ;
Xiao, WZ ;
Richards, DR ;
Felciano, RM ;
Baker, HV ;
Cho, RJ ;
Chen, RO ;
Brownstein, BH ;
Cobb, JP ;
Tschoeke, SK ;
Miller-Graziano, C ;
Moldawer, LL ;
Mindrinos, MN ;
Davis, RW ;
Tompkins, RG ;
Lowry, SF .
NATURE, 2005, 437 (7061) :1032-1037
[9]   Globular adiponectin increases GLUT4 translocation and glucose uptake but reduces glycogen synthesis in rat skeletal muscle cells [J].
Ceddia, RB ;
Somwar, R ;
Maida, A ;
Fang, X ;
Bikopoulos, G ;
Sweeney, G .
DIABETOLOGIA, 2005, 48 (01) :132-139
[10]   The BioGRID interaction database: 2013 update [J].
Chatr-aryamontri, Andrew ;
Breitkreutz, Bobby-Joe ;
Heinicke, Sven ;
Boucher, Lorrie ;
Winter, Andrew ;
Stark, Chris ;
Nixon, Julie ;
Ramage, Lindsay ;
Kolas, Nadine ;
O'Donnell, Lara ;
Reguly, Teresa ;
Breitkreutz, Ashton ;
Sellam, Adnane ;
Chen, Daici ;
Chang, Christie ;
Rust, Jennifer ;
Livstone, Michael ;
Oughtred, Rose ;
Dolinski, Kara ;
Tyers, Mike .
NUCLEIC ACIDS RESEARCH, 2013, 41 (D1) :D816-D823