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Our research interests can be broadly defined as building global mechanistic models of cancer progression. We use an integrated systems approach, where we combine advanced computational network methodology with experimental analyses. To this end, a major part of our research focus is dedicated to the development of novel computational methods for automated extraction of testable mechanistic models from large genome-scale data and their implementation in user-friendly software for community use.
One research interest is delineating molecular networks that support tumorigenic platform under specific oncogenic contexts. Our recent work on EGFR family-driven cancers reveals an extensive interplay of the EGFR signaling network with the metabolic and signaling pathways involved in the endoplasmic reticulum adaptive stress response. Current work in the lab is focused on detailed characterization of the dynamic interplay between these processes in driving the tumorigenic phenotype.
Komurov K, Tseng JT, Muller M, Seviour E, Moss T, Yang L, Ram PT. The glucose-deprivation network counteracts lapatinib-induced toxicity in resistant ErbB2-positive breast cancer cells. Mol Syst Biol. 2012;8:596.
Komurov K, Dursun S, Erdin S, Ram PT. NetWalker: a network-based analysis tool for functional genomics. BMC Genomics. 2012;13:282.
Komurov, K. Modeling community-wide molecular networks of multicellular systems. Bioinformatics. 2012;28(5):694-700.
Ward SE, Kim HS, Komurov K, Mendiratta S, Tsai PL, Schmolke M, Satterly N, Manicassamy B, Forst CV, Roth MG, García-Sastre A, Blazewska KM, McKenna CE, Fontoura BM, White MA. Host modulators of H1N1 Cytopathogenicity. PLoS One. 2012;7(8):e39284.
Zhang L, Komurov K, Wright W, Shay J. Identification of Novel Driver Tumor Suppressors through Functional Interrogation of Putative Passenger Mutations in Colorectal Cancer. Int J Cancer. 2013 Feb 1;132(3):732-7.
Lu Y, Muller M, Smith D, Dutta B, Komurov K, Iadevaia S, Ruths D, Tseng JT, Yu S, Yu Q, Nakhleh L, Balazsi G, Donnelly J, Schurdak M, Morgan-Lappe S, Fesik S, Ram PT, Mills GB. Kinome siRNA-phosphoproteomic screen identifies networks regulating AKT signaling. Oncogene. 2011 Nov 10;30(45):4567-77.
Eskiocak U, Kim SB, Ly P, Roig AI, Biglione S, Komurov K, Cornelius C, Wright WE, White MA, Shay JW. Functional parsing of driver mutations in the colorectal cancer genome reveals numerous suppressors of anchorage-independent growth. Cancer Res. 2011;71(13):4359-65.
Matsuo K, Nishimura M, Bottsford-Miller JN, Huang J, Komurov K, Armaiz-Pena GN, Shahzad MM, Stone RL, Roh JW, Sanguino AM, Lu C, Im DD, Rosenshien NB, Sakakibara A, Nagano T, Yamasaki M, Enomoto T, Kimura T, Ram PT, Schmeler KM, Gallick GE, Wong KK, Frumovitz M, Sood AK. Targeting SRC in mucinous ovarian carcinoma. Clin Cancer Res. 2011 Aug 15;17(16):5367-78.
Taube JH*, Herschkowitz JI*, Komurov K*, Zhou AY, Gupta S, Yang J, Hartwell K, Onder TT, Gupta PB, Evans KW, Hollier BG, Ram PT, Lander ES, Rosen JM, Weinberg RA, Mani SA. Core epithelial-to-mesenchymal transition interactome gene-expression signature is associated with claudin-low and metaplastic breast cancer subtypes. Proc Natl Acad Sci USA. 2010;107(35):15449-54. (*co-first author)
Komurov K, White MA, Ram PT. Use of data-biased random walks on graphs for the retrieval of context-specific networks from genomic data. PLoS Comput Biol. 2010 Aug 19;6(8).
Komurov K, Padron D, Cheng T, Roth M, Rosenblatt KP, White MA. Comprehensive mapping of the human kinome to epidermal growth factor receptor signaling. J Biol Chem. 2010 Jul 2;285(27):21134-42.
Gopal YN, Deng W, Woodman SE, Komurov K, Ram P, Smith PD, Davies MA. Basal and treatment-induced activation of AKT mediates resistance to cell death by AZD6244 (ARRY-142886) in Braf-mutant human cutaneous melanoma cells. Cancer Res. 2010 Nov 1;70(21):8736-47.
Komurov K, Ram PT. Patterns of human gene expression variance show strong associations with signaling network hierarchy. BMC Syst Biol. 2010 Nov 12;4:154.
Komurov K, Gunes MH, White MA. Fine-scale dissection of functional protein network organization by statistical network analysis. PLoS One. 2009 Jun 24;4(6):e6017.
Komurov K, White M. Revealing static and dynamic modular architecture of the eukaryotic protein interaction network. Mol Syst Biol. 2007;3:110.
Kakajan Komurov, PhDDivision of Experimental Hematology and Cancer BiologyCancer and Blood Diseases InstituteMLC 70193333 Burnet Ave, Cincinnati, OH 45229
Phone: 513-803 5122Email: email@example.com
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