Person:
Chen, Alyce

Loading...
Profile Picture

Email Address

AA Acceptance Date

Birth Date

Research Projects

Organizational Units

Job Title

Last Name

Chen

First Name

Alyce

Name

Chen, Alyce

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Publication
    Interpreting Cancer Genomes Using Systematic Host Perturbations by Tumour Virus Proteins
    (Nature Publishing Group, 2012) Rozenblatt-Rosen, Orit; Deo, Rahul C.; Dricot, Amélie; Askenazi, Manor; Tavares, Maria; Abderazzaq, Fieda; Byrdsong, Danielle; Correll, Mick; Fan, Changyu; Feltkamp, Mariet C.; Franchi, Rachel; Garg, Brijesh K.; Gulbahce, Natali; Hao, Tong; Korkhin, Anna; Litovchick, Larisa; Mar, Jessica C.; Pak, Theodore R.; Rabello, Sabrina; Rubio, Renee; Shen, Yun; Tasan, Murat; Wanamaker, Shelly; Roecklein-Canfield, Jennifer; Johannsen, Eric; Barabási, Albert-László; Padi, Megha; Adelmant, Guillaume; Calderwood, Michael; Rolland, Thomas; Grace, Miranda; Pevzner, Samuel; Carvunis, Anne-Ruxandra; Chen, Alyce; Cheng, Jingwei; Duarte, Melissa; Ficarro, Scott; Holthaus, Amy Marie; James, Robert; Singh, Saurav; Spangle, Jennifer; Webber, James T.; Beroukhim, Rameen; Kieff, Elliott; Cusick, Michael; Hill, David; Munger, Karl; Marto, Jarrod; Quackenbush, John; Roth, Fritz; DeCaprio, James; Vidal, Marc
    Genotypic differences greatly influence susceptibility and resistance to disease. Understanding genotype-phenotype relationships requires that phenotypes be viewed as manifestations of network properties, rather than simply as the result of individual genomic variations. Genome sequencing efforts have identified numerous germline mutations associated with cancer predisposition and large numbers of somatic genomic alterations. However, it remains challenging to distinguish between background, or “passenger” and causal, or “driver” cancer mutations in these datasets. Human viruses intrinsically depend on their host cell during the course of infection and can elicit pathological phenotypes similar to those arising from mutations. To test the hypothesis that genomic variations and tumour viruses may cause cancer via related mechanisms, we systematically examined host interactome and transcriptome network perturbations caused by DNA tumour virus proteins. The resulting integrated viral perturbation data reflects rewiring of the host cell networks, and highlights pathways that go awry in cancer, such as Notch signalling and apoptosis. We show that systematic analyses of host targets of viral proteins can identify cancer genes with a success rate on par with their identification through functional genomics and large-scale cataloguing of tumour mutations. Together, these complementary approaches result in increased specificity for cancer gene identification. Combining systems-level studies of pathogen-encoded gene products with genomic approaches will facilitate prioritization of cancer-causing driver genes so as to advance understanding of the genetic basis of human cancer.
  • Thumbnail Image
    Publication
    Viral Perturbations of Host Networks Reflect Disease Etiology
    (Public Library of Science, 2012) Gulbahce, Natali; Yan, Han; Dricot, Amélie; Padi, Megha; Byrdsong, Danielle; Franchi, Rachel; Lee, Deok-Sun; Rozenblatt-Rosen, Orit; Mar, Jessica C.; Calderwood, Michael; Baldwin, Amy; Zhao, Bo; Santhanam, Balaji; Braun, Pascal; Simonis, Nicolas; Huh, Kyung-Won; Hellner, Karin; Grace, Miranda; Chen, Alyce; Rubio, Renee; Marto, Jarrod; Christakis, Nicholas A.; Kieff, Elliott; Roth, Fritz; Roecklein-Canfield, Jennifer; DeCaprio, James; Cusick, Michael; Quackenbush, John; Hill, David; Münger, Karl; Vidal, Marc; Barabási, Albert-László
    Many human diseases, arising from mutations of disease susceptibility genes (genetic diseases), are also associated with viral infections (virally implicated diseases), either in a directly causal manner or by indirect associations. Here we examine whether viral perturbations of host interactome may underlie such virally implicated disease relationships. Using as models two different human viruses, Epstein-Barr virus (EBV) and human papillomavirus (HPV), we find that host targets of viral proteins reside in network proximity to products of disease susceptibility genes. Expression changes in virally implicated disease tissues and comorbidity patterns cluster significantly in the network vicinity of viral targets. The topological proximity found between cellular targets of viral proteins and disease genes was exploited to uncover a novel pathway linking HPV to Fanconi anemia.