Bioinformatic analysis of specific genes in diabetic nephropathy

References

• Lindenmeyer MT, Kretzler M, Boucherot A, et al. Interstitial vascular rarefaction and reduced VEGF-A expression in human diabetic nephropathy. J Am Soc Nephrol. 2007;18:1765–1776
   PubMed Web of Science ®Google Scholar
• Hovind P, Tarnow L, Rossing P, et al. Predictors for the development of microalbuminuria and macroalbuminuria in patients with type 1 diabetes: Inception cohort study. BMJ. 2004;328:1105
   PubMed Web of Science ®Google Scholar
• Wong TY, Shankar A, Klein R, Klein BE. Retinal vessel diameters and the incidence of gross proteinuria and renal insufficiency in people with type 1 diabetes. Diabetes. 2004;53:179–184
   PubMed Web of Science ®Google Scholar
• Adler AI, Stevens RJ, Manley SE, et al. Development and progression of nephropathy in type 2 diabetes: The United Kingdom Prospective Diabetes Study (UKPDS 64). Kidney Int. 2003;63:225–232
   PubMed Web of Science ®Google Scholar
• Valmadrid CT, Klein R, Moss SE, Klein BE. The risk of cardiovascular disease mortality associated with microalbuminuria and gross proteinuria in persons with older-onset diabetes mellitus. Arch Inter Med. 2000;160:1093–1100
   PubMed Web of Science ®Google Scholar
• Wolf G, Ziyadeh FN. Cellular and molecular mechanisms of proteinuria in diabetic nephropathy. Nephron Physiol. 2007;106:26–31
   Web of Science ®Google Scholar
• Ohshiro Y, Takasu N. Molecular mechanism of diabetic nephropathy. Nihon Rinsho (Jpn J Clin Med). 2006;64:997--1003
   PubMedGoogle Scholar
• Baelde HJ, Eikmans M, Doran PP, et al. Gene expression profiling in glomeruli from human kidneys with diabetic nephropathy. Am J Kidney Dis. 2004;43:636–650
   PubMed Web of Science ®Google Scholar
• Wu T, Li Q, Liu H. Identification of biological targets of therapeutic intervention for diabetic nephropathy with bioinformatics approach. Exp Clinic End Diab. 2014;122(10):587–591
   PubMed Web of Science ®Google Scholar
• Smyth GK. Limma: Linear models for microarray data. In: Gentleman R, Carey VJ, Huber W, Irizarry RA, Dudoit S, eds. Bioinformatics and Computational Biology Solutions Using R and Bioconductor. New York: Springer; 2005:397–420
   Google Scholar
• Dennis Jr G, Sherman BT, Hosack DA, et al. DAVID: Database for annotation, visualization, and integrated discovery. Genome Biol. 2003;4:P3
   PubMed Web of Science ®Google Scholar
• Xenarios I, Salwinski L, Duan XJ, et al. DIP, the Database of interacting proteins: A research tool for studying cellular networks of protein interactions. Nucleic Acids Res. 2002;30:303–305
   PubMed Web of Science ®Google Scholar
• Fujita A, Sato J, Rodrigues L, Ferreira C, Sogayar M. Evaluating different methods of microarray data normalization. BMC Bioinformatics. 2006;7:469
   PubMed Web of Science ®Google Scholar
• Von Mering C, Jensen LJ, Snel B, et al. STRING: Known and predicted protein–protein associations, integrated and transferred across organisms. Nucleic Acids Res. 2005;33:D433–D437
   PubMed Web of Science ®Google Scholar
• Shannon P, Markiel A, Ozier O, et al. Cytoscape: A software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13:2498–2504
   PubMed Web of Science ®Google Scholar
• Bader GD, Hogue CW. An automated method for finding molecular complexes in large protein interaction networks. BMC Bioinform. 2003;4:2
   PubMed Web of Science ®Google Scholar
• John L, Kirubakaran MG, Shastry J. Diabetic nephropathy: A clinical study of 498 patients. J Diabet Complic. 1987;1:87–90
   Google Scholar
• Stehouwer CD, Lambert J, Donker A, van Hinsbergh VW. Endothelial dysfunction and pathogenesis of diabetic angiopathy. Cardiovas Res. 1997;34:55–68
   PubMed Web of Science ®Google Scholar
• Williams B, Gallacher B, Patel H, Orme C. Glucose-induced protein kinase C activation regulates vascular permeability factor mRNA expression and peptide production by human vascular smooth muscle cells in vitro. Diabetes. 1997;46:1497–1503
   PubMed Web of Science ®Google Scholar
• Takagi H, King GL, Ferrara N, Aiello LP. Hypoxia regulates vascular endothelial growth factor receptor KDR/Flk gene expression through adenosine A2 receptors in retinal capillary endothelial cells. Invest Ophth Vis Sci. 1996;37:1311–1321
   PubMed Web of Science ®Google Scholar
• Hovind P, Tarnow L, Oestergaard PB, Parving H-H. Elevated vascular endothelial growth factor in type 1 diabetic patients with diabetic nephropathy. Kidney Int. 2000;57:S56–S61
   Web of Science ®Google Scholar
• Dimke H, Sparks MA, Thomson BR, et al. Tubulovascular cross-talk by vascular endothelial growth factor A maintains peritubular microvasculature in kidney. J Am Soc Nephrol. 2015;26(5):1027--1038
   PubMed Web of Science ®Google Scholar
• Oltean S, Qiu Y, Ferguson JK, et al. Vascular endothelial growth factor-A165b is protective and restores endothelial glycocalyx in diabetic nephropathy. J Am Soc Nephrol. 2014. [Epub ahead of print]. doi: 10.1681/ASN.2014040350
   PubMed Web of Science ®Google Scholar
• Thierry-Mieg D, Thierry-Mieg J. AceView: A comprehensive cDNA-supported gene and transcripts. Genome Biol. 2006;7:S12
   PubMed Web of Science ®Google Scholar
• Van Wijk E, Krieger E, Kemperman M, et al. A mutation in the gamma actin 1 (ACTG1) gene causes autosomal dominant hearing loss (DFNA20/26). J Med Genet. 2003;40:879–884
   PubMed Web of Science ®Google Scholar
• Hendrick JP, Hartl F. Molecular chaperone functions of heat-shock proteins. Annu Rev Biochem. 1993;62:349–384
   PubMed Web of Science ®Google Scholar
• Horwitz J. Alpha-crystallin can function as a molecular chaperone. Proc Natl Acad Sci USA. 1992;89:10449–10453
   PubMed Web of Science ®Google Scholar
• Gano JJ, Simon JA. A proteomic investigation of ligand-dependent HSP90 complexes reveals CHORDC1 as a novel ADP-dependent HSP90-interacting protein. Mol Cell Proteomics. 2010;9:255–270
   PubMed Web of Science ®Google Scholar