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Parfenov, Michael

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Parfenov

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Michael

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Parfenov, Michael

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Now showing 1 - 3 of 3
  • Publication

    Comprehensive molecular characterization of gastric adenocarcinoma

    (2014) Bass, Adam J.; Thorsson, Vesteinn; Shmulevich, Ilya; Reynolds, Sheila M.; Miller, Michael; Bernard, Brady; Hinoue, Toshinori; Laird, Peter W.; Curtis, Christina; Shen, Hui; Weisenberger, Daniel J.; Schultz, Nikolaus; Shen, Ronglai; Weinhold, Nils; Kelsen, David P.; Bowlby, Reanne; Chu, Andy; Kasaian, Katayoon; Mungall, Andrew J.; Robertson, A. Gordon; Sipahimalani, Payal; Cherniack, Andrew; Getz, Gad; Liu, Yingchun; Noble, Michael S.; Pedamallu, Chandra; Sougnez, Carrie; Taylor-Weiner, Amaro; Akbani, Rehan; Lee, Ju-Seog; Liu, Wenbin; Mills, Gordon B.; Yang, Da; Zhang, Wei; Pantazi, Angeliki; Parfenov, Michael; Gulley, Margaret; Piazuelo, M. Blanca; Schneider, Barbara G.; Kim, Jihun; Boussioutas, Alex; Sheth, Margi; Demchok, John A.; Rabkin, Charles S.; Willis, Joseph E.; Ng, Sam; Garman, Katherine; Beer, David G.; Pennathur, Arjun; Raphael, Benjamin J.; Wu, Hsin-Ta; Odze, Robert; Kim, Hark K.; Bowen, Jay; Leraas, Kristen M.; Lichtenberg, Tara M.; Weaver, Stephanie; McLellan, Michael; Wiznerowicz, Maciej; Sakai, Ryo; Lawrence, Michael S.; Cibulskis, Kristian; Lichtenstein, Lee; Fisher, Sheila; Gabriel, Stacey B.; Lander, Eric S.; Ding, Li; Niu, Beifang; Ally, Adrian; Balasundaram, Miruna; Birol, Inanc; Brooks, Denise; Butterfield, Yaron S. N.; Carlsen, Rebecca; Chu, Justin; Chuah, Eric; Chun, Hye-Jung E.; Clarke, Amanda; Dhalla, Noreen; Guin, Ranabir; Holt, Robert A.; Jones, Steven J.M.; Lee, Darlene; Li, Haiyan A.; Lim, Emilia; Ma, Yussanne; Marra, Marco A.; Mayo, Michael; Moore, Richard A.; Mungall, Karen L.; Nip, Ka Ming; Schein, Jacqueline E.; Tam, Angela; Thiessen, Nina; Beroukhim, Rameen; Carter, Scott L.; Cherniack, Andrew D.; Cho, Juok; DiCara, Daniel; Frazer, Scott; Gehlenborg, Nils; Heiman, David I.; Jung, Joonil; Kim, Jaegil; Lin, Pei; Meyerson, Matthew; Ojesina, Akinyemi I.; Pedamallu, Chandra Sekhar; Saksena, Gordon; Schumacher, Steven E.; Stojanov, Petar; Tabak, Barbara; Voet, Doug; Rosenberg, Mara; Zack, Travis I.; Zhang, Hailei; Zou, Lihua; Protopopov, Alexei; Santoso, Netty; Lee, Semin; Zhang, Jianhua; Mahadeshwar, Harshad S.; Tang, Jiabin; Ren, Xiaojia; Seth, Sahil; Yang, Lixing; Xu, Andrew W.; Song, Xingzhi; Xi, Ruibin; Bristow, Christopher A.; Hadjipanayis, Angela; Seidman, Jonathan; Chin, Lynda; Park, Peter; Kucherlapati, Raju; Ling, Shiyun; Rao, Arvind; Weinstein, John N.; Kim, Sang-Bae; Lu, Yiling; Mills, Gordon; Bootwalla, Moiz S.; Lai, Phillip H.; Triche, Timothy; Van Den Berg, David J.; Baylin, Stephen B.; Herman, James G.; Murray, Bradley A.; Askoy, B. Arman; Ciriello, Giovanni; Dresdner, Gideon; Gao, Jianjiong; Gross, Benjamin; Jacobsen, Anders; Lee, William; Ramirez, Ricardo; Sander, Chris; Senbabaoglu, Yasin; Sinha, Rileen; Sumer, S. Onur; Sun, Yichao; Thorsson, Vésteinn; Iype, Lisa; Kramer, Roger W.; Kreisberg, Richard; Rovira, Hector; Tasman, Natalie; Ng, Santa Cruz Sam; Haussler, David; Stuart, Josh M.; Verhaak, Roeland G.W.; Leiserson, Mark D. M.; Taylor, Barry S.; Black, Aaron D.; Carney, Julie Ann; Gastier-Foster, Julie M.; Helsel, Carmen; McAllister, Cynthia; Ramirez, Nilsa C.; Tabler, Teresa R.; Wise, Lisa; Zmuda, Erik; Penny, Robert; Crain, Daniel; Gardner, Johanna; Lau, Kevin; Curely, Erin; Mallery, David; Morris, Scott; Paulauskis, Joseph; Shelton, Troy; Shelton, Candace; Sherman, Mark; Benz, Christopher; Lee, Jae-Hyuk; Fedosenko, Konstantin; Manikhas, Georgy; Potapova, Olga; Voronina, Olga; Belyaev, Smitry; Dolzhansky, Oleg; Rathmell, W. Kimryn; Brzezinski, Jakub; Ibbs, Matthew; Korski, Konstanty; Kycler, Witold; ŁaŸniak, Radoslaw; Leporowska, Ewa; Mackiewicz, Andrzej; Murawa, Dawid; Murawa, Pawel; Spychała, Arkadiusz; Suchorska, Wiktoria M.; Tatka, Honorata; Teresiak, Marek; Abdel-Misih, Raafat; Bennett, Joseph; Brown, Jennifer; Iacocca, Mary; Rabeno, Brenda; Kwon, Sun-Young; Kemkes, Ariane; Curley, Erin; Alexopoulou, Iakovina; Engel, Jay; Bartlett, John; Albert, Monique; Park, Do-Youn; Dhir, Rajiv; Luketich, James; Landreneau, Rodney; Janjigian, Yelena Y.; Cho, Eunjung; Ladanyi, Marc; Tang, Laura; McCall, Shannon J.; Park, Young S.; Cheong, Jae-Ho; Ajani, Jaffer; Camargo, M. Constanza; Alonso, Shelley; Ayala, Brenda; Jensen, Mark A.; Pihl, Todd; Raman, Rohini; Walton, Jessica; Wan, Yunhu; Eley, Greg; Mills Shaw, Kenna R.; Tarnuzzer, Roy; Wang, Zhining; Yang, Liming; Zenklusen, Jean Claude; Davidsen, Tanja; Hutter, Carolyn M.; Sofia, Heidi J.; Burton, Robert; Chudamani, Sudha; Liu, Jia

    Gastric cancer is a leading cause of cancer deaths, but analysis of its molecular and clinical characteristics has been complicated by histological and aetiological heterogeneity. Here we describe a comprehensive molecular evaluation of 295 primary gastric adenocarcinomas as part of The Cancer Genome Atlas (TCGA) project. We propose a molecular classification dividing gastric cancer into four subtypes: tumours positive for Epstein–Barr virus, which display recurrent PIK3CA mutations, extreme DNA hypermethylation, and amplification of JAK2, CD274 (also known as PD-L1) and PDCD1LG2 (also knownasPD-L2); microsatellite unstable tumours, which show elevated mutation rates, including mutations of genes encoding targetable oncogenic signalling proteins; genomically stable tumours, which are enriched for the diffuse histological variant and mutations of RHOA or fusions involving RHO-family GTPase-activating proteins; and tumours with chromosomal instability, which show marked aneuploidy and focal amplification of receptor tyrosine kinases. Identification of these subtypes provides a roadmap for patient stratification and trials of targeted therapies.

  • Publication

    De novo mutations in histone modifying genes in congenital heart disease

    (2013) Zaidi, Samir; Choi, Murim; Wakimoto, Hiroko; Ma, Lijiang; Jiang, Jianming; Overton, John D.; Romano-Adesman, Angela; Bjornson, Robert D.; Breitbart, Roger E.; Brown, Kerry K.; Carriero, Nicholas J.; Cheung, Yee Him; Deanfield, John; DePalma, Steven; Fakhro, Khalid A.; Glessner, Joseph; Hakonarson, Hakon; Italia, Michael; Kaltman, Jonathan R.; Kaski, Juan; Kim, Richard; Kline, Jennie K.; Lee, Teresa; Leipzig, Jeremy; Lopez, Alexander; Mane, Shrikant M.; Mitchell, Laura E.; Newburger, Jane W.; Parfenov, Michael; Pe'er, Itsik; Porter, George; Roberts, Amy; Sachidanandam, Ravi; Sanders, Stephan J.; Seiden, Howard S.; State, Mathew W.; Subramanian, Sailakshmi; Tikhonova, Irina R.; Wang, Wei; Warburton, Dorothy; White, Peter S.; Williams, Ismee A.; Zhao, Hongyu; Seidman, Jonathan; Brueckner, Martina; Chung, Wendy K.; Gelb, Bruce D.; Goldmuntz, Elizabeth; Seidman, Christine; Lifton, Richard P.

    Congenital heart disease (CHD) is the most frequent birth defect, affecting 0.8% of live births1. Many cases occur sporadically and impair reproductive fitness, suggesting a role for de novo mutations. By analysis of exome sequencing of parent-offspring trios, we compared the incidence of de novo mutations in 362 severe CHD cases and 264 controls. CHD cases showed a significant excess of protein-altering de novo mutations in genes expressed in the developing heart, with an odds ratio of 7.5 for damaging mutations. Similar odds ratios were seen across major classes of severe CHD. We found a marked excess of de novo mutations in genes involved in production, removal or reading of H3K4 methylation (H3K4me), or ubiquitination of H2BK120, which is required for H3K4 methylation2–4. There were also two de novo mutations in SMAD2; SMAD2 signaling in the embryonic left-right organizer induces demethylation of H3K27me5. H3K4me and H3K27me mark `poised' promoters and enhancers that regulate expression of key developmental genes6. These findings implicate de novo point mutations in several hundred genes that collectively contribute to ~10% of severe CHD.

  • Publication

    ViroFind: A novel target-enrichment deep-sequencing platform reveals a complex JC virus population in the brain of PML patients

    (Public Library of Science, 2018) Chalkias, Spyros; Gorham, Joshua; Mazaika, Erica; Parfenov, Michael; Dang, Xin; DePalma, Steve; McKean, David; Seidman, Christine; Seidman, Jonathan; Koralnik, Igor J.

    Deep nucleotide sequencing enables the unbiased, broad-spectrum detection of viruses in clinical samples without requiring an a priori hypothesis for the source of infection. However, its use in clinical research applications is limited by low cost-effectiveness given that most of the sequencing information from clinical samples is related to the human genome, which renders the analysis of viral genomes challenging. To overcome this limitation we developed ViroFind, an in-solution target-enrichment platform for virus detection and discovery in clinical samples. ViroFind comprises 165,433 viral probes that cover the genomes of 535 selected DNA and RNA viruses that infect humans or could cause zoonosis. The ViroFind probes are used in a hybridization reaction to enrich viral sequences and therefore enhance the detection of viral genomes via deep sequencing. We used ViroFind to detect and analyze all viral populations in the brain of 5 patients with progressive multifocal leukoencephalopathy (PML) and of 18 control subjects with no known neurological disease. Compared to direct deep sequencing, by using ViroFind we enriched viral sequences present in the clinical samples up to 127-fold. We discovered highly complex polyoma virus JC populations in the PML brain samples with a remarkable degree of genetic divergence among the JC virus variants of each PML brain sample. Specifically for the viral capsid protein VP1 gene, we identified 24 single nucleotide substitutions, 12 of which were associated with amino acid changes. The most frequent (4 of 5 samples, 80%) amino acid change was D66H, which is associated with enhanced tissue tropism, and hence likely a viral fitness advantage, compared to other variants. Lastly, we also detected sparse JC virus sequences in 10 of 18 (55.5%) of control samples and sparse human herpes virus 6B (HHV6B) sequences in the brain of 11 of 18 (61.1%) control subjects. In sum, ViroFind enabled the in-depth analysis of all viral genomes in PML and control brain samples and allowed us to demonstrate a high degree of JC virus genetic divergence in vivo that has been previously underappreciated. ViroFind can be used to investigate the structure of the virome with unprecedented depth in health and disease state.