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  • 1
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    Interpreting cancer genomes using systematic host network perturbations by tumour virus proteins (2012)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2012-07-20
    Description: 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, and large numbers of somatic genomic alterations, associated with a predisposition to cancer. However, it remains difficult to distinguish background, or 'passenger', cancer mutations from causal, or 'driver', mutations in these data sets. Human viruses intrinsically depend on their host cell during the course of infection and can elicit pathological phenotypes similar to those arising from mutations. Here we test the hypothesis that genomic variations and tumour viruses may cause cancer through related mechanisms, by systematically examining 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, such as Notch signalling and apoptosis, that go awry in cancer. We show that systematic analyses of host targets of viral proteins can identify cancer genes with a success rate on a par with their identification through functional genomics and large-scale cataloguing of tumour mutations. Together, these complementary approaches increase the specificity of cancer gene identification. Combining systems-level studies of pathogen-encoded gene products with genomic approaches will facilitate the prioritization of cancer-causing driver genes to advance the understanding of the genetic basis of human cancer.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3408847/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3408847/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Rozenblatt-Rosen, Orit -- Deo, Rahul C -- Padi, Megha -- Adelmant, Guillaume -- Calderwood, Michael A -- Rolland, Thomas -- Grace, Miranda -- Dricot, Amelie -- Askenazi, Manor -- Tavares, Maria -- Pevzner, Samuel J -- Abderazzaq, Fieda -- Byrdsong, Danielle -- Carvunis, Anne-Ruxandra -- Chen, Alyce A -- Cheng, Jingwei -- Correll, Mick -- Duarte, Melissa -- Fan, Changyu -- Feltkamp, Mariet C -- Ficarro, Scott B -- Franchi, Rachel -- Garg, Brijesh K -- Gulbahce, Natali -- Hao, Tong -- Holthaus, Amy M -- James, Robert -- Korkhin, Anna -- Litovchick, Larisa -- Mar, Jessica C -- Pak, Theodore R -- Rabello, Sabrina -- Rubio, Renee -- Shen, Yun -- Singh, Saurav -- Spangle, Jennifer M -- Tasan, Murat -- Wanamaker, Shelly -- Webber, James T -- Roecklein-Canfield, Jennifer -- Johannsen, Eric -- Barabasi, Albert-Laszlo -- Beroukhim, Rameen -- Kieff, Elliott -- Cusick, Michael E -- Hill, David E -- Munger, Karl -- Marto, Jarrod A -- Quackenbush, John -- Roth, Frederick P -- DeCaprio, James A -- Vidal, Marc -- F32 GM095284/GM/NIGMS NIH HHS/ -- F32GM095284/GM/NIGMS NIH HHS/ -- K08 CA122833/CA/NCI NIH HHS/ -- K08 HL098361/HL/NHLBI NIH HHS/ -- K08HL098361/HL/NHLBI NIH HHS/ -- K25 HG006031/HG/NHGRI NIH HHS/ -- K25HG006031/HG/NHGRI NIH HHS/ -- P01 CA050661/CA/NCI NIH HHS/ -- P01CA050661/CA/NCI NIH HHS/ -- P50 HG004233/HG/NHGRI NIH HHS/ -- P50HG004233/HG/NHGRI NIH HHS/ -- R01 CA047006/CA/NCI NIH HHS/ -- R01 CA063113/CA/NCI NIH HHS/ -- R01 CA066980/CA/NCI NIH HHS/ -- R01 CA081135/CA/NCI NIH HHS/ -- R01 CA085180/CA/NCI NIH HHS/ -- R01 CA093804/CA/NCI NIH HHS/ -- R01 CA131354/CA/NCI NIH HHS/ -- R01 HG001715/HG/NHGRI NIH HHS/ -- R01CA047006/CA/NCI NIH HHS/ -- R01CA063113/CA/NCI NIH HHS/ -- R01CA066980/CA/NCI NIH HHS/ -- R01CA081135/CA/NCI NIH HHS/ -- R01CA085180/CA/NCI NIH HHS/ -- R01CA093804/CA/NCI NIH HHS/ -- R01CA131354/CA/NCI NIH HHS/ -- R01HG001715/HG/NHGRI NIH HHS/ -- T32 HL007208/HL/NHLBI NIH HHS/ -- T32HL007208/HL/NHLBI NIH HHS/ -- U01 CA141583/CA/NCI NIH HHS/ -- U01CA141583/CA/NCI NIH HHS/ -- England -- Nature. 2012 Jul 26;487(7408):491-5. doi: 10.1038/nature11288.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Genomic Analysis of Network Perturbations Center of Excellence in Genomic Science, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22810586" target="_blank"〉PubMed〈/a〉
    Keywords: Adenoviridae/genetics/metabolism/pathogenicity ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Genes, Neoplasm/*genetics ; Genome, Human/*genetics ; Herpesvirus 4, Human/genetics/metabolism/pathogenicity ; *Host-Pathogen Interactions/genetics ; Humans ; Neoplasms/*genetics/*metabolism/pathology ; Oncogenic Viruses/genetics/metabolism/*pathogenicity ; Open Reading Frames/genetics ; Papillomaviridae/genetics/metabolism/pathogenicity ; Polyomavirus/genetics/metabolism/pathogenicity ; Receptors, Notch/metabolism ; Signal Transduction ; Two-Hybrid System Techniques ; Viral Proteins/genetics/*metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 2
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    Proto-genes and de novo gene birth (2012)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2012-06-23
    Description: Novel protein-coding genes can arise either through re-organization of pre-existing genes or de novo. Processes involving re-organization of pre-existing genes, notably after gene duplication, have been extensively described. In contrast, de novo gene birth remains poorly understood, mainly because translation of sequences devoid of genes, or 'non-genic' sequences, is expected to produce insignificant polypeptides rather than proteins with specific biological functions. Here we formalize an evolutionary model according to which functional genes evolve de novo through transitory proto-genes generated by widespread translational activity in non-genic sequences. Testing this model at the genome scale in Saccharomyces cerevisiae, we detect translation of hundreds of short species-specific open reading frames (ORFs) located in non-genic sequences. These translation events seem to provide adaptive potential, as suggested by their differential regulation upon stress and by signatures of retention by natural selection. In line with our model, we establish that S. cerevisiae ORFs can be placed within an evolutionary continuum ranging from non-genic sequences to genes. We identify ~1,900 candidate proto-genes among S. cerevisiae ORFs and find that de novo gene birth from such a reservoir may be more prevalent than sporadic gene duplication. Our work illustrates that evolution exploits seemingly dispensable sequences to generate adaptive functional innovation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3401362/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3401362/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Carvunis, Anne-Ruxandra -- Rolland, Thomas -- Wapinski, Ilan -- Calderwood, Michael A -- Yildirim, Muhammed A -- Simonis, Nicolas -- Charloteaux, Benoit -- Hidalgo, Cesar A -- Barbette, Justin -- Santhanam, Balaji -- Brar, Gloria A -- Weissman, Jonathan S -- Regev, Aviv -- Thierry-Mieg, Nicolas -- Cusick, Michael E -- Vidal, Marc -- R01 HG006061/HG/NHGRI NIH HHS/ -- R01-HG006061/HG/NHGRI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2012 Jul 19;487(7407):370-4. doi: 10.1038/nature11184.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Cancer Systems Biology and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02215, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22722833" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; Conserved Sequence ; *Evolution, Molecular ; Genes, Fungal/*genetics ; Genetic Variation ; Molecular Sequence Data ; Open Reading Frames ; Phylogeny ; Protein Biosynthesis ; Saccharomyces/classification/*genetics ; Saccharomyces cerevisiae/classification/genetics ; Sequence Alignment
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 3
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    EBV nuclear antigen EBNALP dismisses transcription repressors NCoR and RBPJ from enhancers and EBNA2 increases NCoR-deficient RBPJ DNA binding (2011)
    National Academy of Sciences
    Details
    Publication Date: 2011-04-25
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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  • 4
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    EBV nuclear antigen EBNALP dismisses transcription repressors NCoR and RBPJ from enhancers and EBNA2 increases NCoR-deficient RBPJ DNA binding [Cell Biology] (2011)
    National Academy of Sciences
    Details
    Publication Date: 2011-05-11
    Description: EBV nuclear antigen 2 (EBNA2) and EBV nuclear antigen LP (EBNALP) are critical for B-lymphocyte transformation to lymphoblastoid cell lines (LCLs). EBNA2 activates transcription through recombination signal-binding immunoglobulin κJ region (RBPJ), a transcription factor associated with NCoR repressive complexes, and EBNALP is implicated in repressor relocalization. EBNALP coactivation with EBNA2 was found to dominate over NCoR repression. EBNALP associated with NCoR and dismissed NCoR, NCoR and RBPJ, or NCoR, RBPJ, and EBNA2 from matrix-associated deacetylase (MAD) bodies. In non–EBV-infected BJAB B lymphoma cells that stably express EBNA2, EBNALP, or EBNA2 and EBNALP, EBNALP was associated with hairy and enhancer of split 1 (hes1), cd21, cd23, and arginine and glutamate-rich 1 (arglu1) enhancer or promoter DNA and was associated minimally with coding DNA. With the exception of RBPJ at the arglu1 enhancer, NCoR and RBPJ were significantly decreased at enhancer and promoter sites in EBNALP or EBNA2 and EBNALP BJAB cells. EBNA2 DNA association was unaffected by EBNALP, and EBNALP was unaffected by EBNA2. EBNA2 markedly increased RBPJ at enhancer sites without increasing NCoR. EBNALP further increased hes1 and arglu1 RNA levels with EBNA2 but did not further increase cd21 or cd23 RNA levels. EBNALP in which the 45 C-terminal residues critical for transformation and transcriptional activation were deleted associated with NCoR but was deficient in dismissing NCoR from MAD bodies and from enhancer and promoter sites. These data strongly support a model in which EBNA2 association with NCoR–deficient RBPJ enhances transcription and EBNALP dismisses NCoR and RBPJ repressive complexes from enhancers to coactivate hes1 and arglu1 but not cd21 or cd23.
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
    Published by National Academy of Sciences
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