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  • 1
    Publication Date: 2010-05-28
    Description: Lung cancer is the leading cause of cancer-related mortality worldwide, with non-small-cell lung carcinomas in smokers being the predominant form of the disease. Although previous studies have identified important common somatic mutations in lung cancers, they have primarily focused on a limited set of genes and have thus provided a constrained view of the mutational spectrum. Recent cancer sequencing efforts have used next-generation sequencing technologies to provide a genome-wide view of mutations in leukaemia, breast cancer and cancer cell lines. Here we present the complete sequences of a primary lung tumour (60x coverage) and adjacent normal tissue (46x). Comparing the two genomes, we identify a wide variety of somatic variations, including 〉50,000 high-confidence single nucleotide variants. We validated 530 somatic single nucleotide variants in this tumour, including one in the KRAS proto-oncogene and 391 others in coding regions, as well as 43 large-scale structural variations. These constitute a large set of new somatic mutations and yield an estimated 17.7 per megabase genome-wide somatic mutation rate. Notably, we observe a distinct pattern of selection against mutations within expressed genes compared to non-expressed genes and in promoter regions up to 5 kilobases upstream of all protein-coding genes. Furthermore, we observe a higher rate of amino acid-changing mutations in kinase genes. We present a comprehensive view of somatic alterations in a single lung tumour, and provide the first evidence, to our knowledge, of distinct selective pressures present within the tumour environment.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lee, William -- Jiang, Zhaoshi -- Liu, Jinfeng -- Haverty, Peter M -- Guan, Yinghui -- Stinson, Jeremy -- Yue, Peng -- Zhang, Yan -- Pant, Krishna P -- Bhatt, Deepali -- Ha, Connie -- Johnson, Stephanie -- Kennemer, Michael I -- Mohan, Sankar -- Nazarenko, Igor -- Watanabe, Colin -- Sparks, Andrew B -- Shames, David S -- Gentleman, Robert -- de Sauvage, Frederic J -- Stern, Howard -- Pandita, Ajay -- Ballinger, Dennis G -- Drmanac, Radoje -- Modrusan, Zora -- Seshagiri, Somasekar -- Zhang, Zemin -- England -- Nature. 2010 May 27;465(7297):473-7. doi: 10.1038/nature09004.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20505728" target="_blank"〉PubMed〈/a〉
    Keywords: Carcinoma, Non-Small-Cell Lung/*genetics ; DNA Mutational Analysis ; Genome, Human/*genetics ; Humans ; Lung Neoplasms/*genetics ; Male ; Middle Aged ; Models, Biological ; Point Mutation/*genetics ; Selection, Genetic/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2007-10-13
    Description: Human cancer is caused by the accumulation of mutations in oncogenes and tumor suppressor genes. To catalog the genetic changes that occur during tumorigenesis, we isolated DNA from 11 breast and 11 colorectal tumors and determined the sequences of the genes in the Reference Sequence database in these samples. Based on analysis of exons representing 20,857 transcripts from 18,191 genes, we conclude that the genomic landscapes of breast and colorectal cancers are composed of a handful of commonly mutated gene "mountains" and a much larger number of gene "hills" that are mutated at low frequency. We describe statistical and bioinformatic tools that may help identify mutations with a role in tumorigenesis. These results have implications for understanding the nature and heterogeneity of human cancers and for using personal genomics for tumor diagnosis and therapy.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wood, Laura D -- Parsons, D Williams -- Jones, Sian -- Lin, Jimmy -- Sjoblom, Tobias -- Leary, Rebecca J -- Shen, Dong -- Boca, Simina M -- Barber, Thomas -- Ptak, Janine -- Silliman, Natalie -- Szabo, Steve -- Dezso, Zoltan -- Ustyanksky, Vadim -- Nikolskaya, Tatiana -- Nikolsky, Yuri -- Karchin, Rachel -- Wilson, Paul A -- Kaminker, Joshua S -- Zhang, Zemin -- Croshaw, Randal -- Willis, Joseph -- Dawson, Dawn -- Shipitsin, Michail -- Willson, James K V -- Sukumar, Saraswati -- Polyak, Kornelia -- Park, Ben Ho -- Pethiyagoda, Charit L -- Pant, P V Krishna -- Ballinger, Dennis G -- Sparks, Andrew B -- Hartigan, James -- Smith, Douglas R -- Suh, Erick -- Papadopoulos, Nickolas -- Buckhaults, Phillip -- Markowitz, Sanford D -- Parmigiani, Giovanni -- Kinzler, Kenneth W -- Velculescu, Victor E -- Vogelstein, Bert -- CA 43460/CA/NCI NIH HHS/ -- CA 57345/CA/NCI NIH HHS/ -- CA109274/CA/NCI NIH HHS/ -- CA112828/CA/NCI NIH HHS/ -- CA121113/CA/NCI NIH HHS/ -- CA62924/CA/NCI NIH HHS/ -- GM070219/GM/NIGMS NIH HHS/ -- GM07309/GM/NIGMS NIH HHS/ -- P30-CA43703/CA/NCI NIH HHS/ -- RR017698/RR/NCRR NIH HHS/ -- New York, N.Y. -- Science. 2007 Nov 16;318(5853):1108-13. Epub 2007 Oct 11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Ludwig Center for Cancer Genetics and Therapeutics and Howard Hughes Medical Institute at Johns Hopkins Kimmel Cancer Center, Baltimore, MD 21231, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17932254" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Breast Neoplasms/*genetics/metabolism ; Cell Line ; Chromosome Mapping ; Colorectal Neoplasms/*genetics/metabolism ; Computational Biology ; DNA, Neoplasm ; Databases, Genetic ; Genes, Neoplasm ; Genome, Human ; Humans ; Metabolic Networks and Pathways/genetics ; Mice ; Mutation ; Neoplasm Proteins/genetics/metabolism ; Sequence Analysis, DNA
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 1997-03-21
    Description: Inactivation of the adenomatous polyposis coli (APC) tumor suppressor gene initiates colorectal neoplasia. One of the biochemical activities associated with the APC protein is down-regulation of transcriptional activation mediated by beta-catenin and T cell transcription factor 4 (Tcf-4). The protein products of mutant APC genes present in colorectal tumors were found to be defective in this activity. Furthermore, colorectal tumors with intact APC genes were found to contain activating mutations of beta-catenin that altered functionally significant phosphorylation sites. These results indicate that regulation of beta-catenin is critical to APC's tumor suppressive effect and that this regulation can be circumvented by mutations in either APC or beta-catenin.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Morin, P J -- Sparks, A B -- Korinek, V -- Barker, N -- Clevers, H -- Vogelstein, B -- Kinzler, K W -- CA57345/CA/NCI NIH HHS/ -- New York, N.Y. -- Science. 1997 Mar 21;275(5307):1787-90.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute and Johns Hopkins Oncology Center, 424 North Bond Street, Baltimore, MD 21231, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/9065402" target="_blank"〉PubMed〈/a〉
    Keywords: Adenomatous Polyposis Coli Protein ; Colonic Neoplasms/*genetics/metabolism ; Cytoskeletal Proteins/*genetics/*metabolism ; Gene Expression Regulation, Neoplastic ; *Genes, APC ; Genes, Reporter ; Germ-Line Mutation ; Humans ; Mutation ; Phosphorylation ; Signal Transduction ; TCF Transcription Factors ; *Trans-Activators ; Transcription Factor 7-Like 2 Protein ; Transcription Factors/*metabolism ; *Transcription, Genetic ; Transfection ; Tumor Cells, Cultured ; beta Catenin
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 1998-09-04
    Description: The adenomatous polyposis coli gene (APC) is a tumor suppressor gene that is inactivated in most colorectal cancers. Mutations of APC cause aberrant accumulation of beta-catenin, which then binds T cell factor-4 (Tcf-4), causing increased transcriptional activation of unknown genes. Here, the c-MYC oncogene is identified as a target gene in this signaling pathway. Expression of c-MYC was shown to be repressed by wild-type APC and activated by beta-catenin, and these effects were mediated through Tcf-4 binding sites in the c-MYC promoter. These results provide a molecular framework for understanding the previously enigmatic overexpression of c-MYC in colorectal cancers.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉He, T C -- Sparks, A B -- Rago, C -- Hermeking, H -- Zawel, L -- da Costa, L T -- Morin, P J -- Vogelstein, B -- Kinzler, K W -- CA57345/CA/NCI NIH HHS/ -- CA62924/CA/NCI NIH HHS/ -- GM07309/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 1998 Sep 4;281(5382):1509-12.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute and Johns Hopkins Oncology Center, 424 North Bond Street, Baltimore, MD 21231, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/9727977" target="_blank"〉PubMed〈/a〉
    Keywords: Adenomatous Polyposis Coli Protein ; Binding Sites ; Cell Line ; Colorectal Neoplasms/*genetics ; Cytoskeletal Proteins/genetics/metabolism ; *Gene Expression Regulation, Neoplastic ; *Genes, APC ; Genes, Reporter ; *Genes, myc ; HT29 Cells ; Humans ; Mutation ; Promoter Regions, Genetic ; Proto-Oncogene Proteins c-myc/metabolism ; Signal Transduction ; TCF Transcription Factors ; *Trans-Activators ; Transcription Factor 7-Like 2 Protein ; Transcription Factors/metabolism ; Transcription, Genetic ; beta Catenin
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2012-07-13
    Description: Recent advances in whole-genome sequencing have brought the vision of personal genomics and genomic medicine closer to reality. However, current methods lack clinical accuracy and the ability to describe the context (haplotypes) in which genome variants co-occur in a cost-effective manner. Here we describe a low-cost DNA sequencing and haplotyping process, long fragment read (LFR) technology, which is similar to sequencing long single DNA molecules without cloning or separation of metaphase chromosomes. In this study, ten LFR libraries were made using only approximately 100 picograms of human DNA per sample. Up to 97% of the heterozygous single nucleotide variants were assembled into long haplotype contigs. Removal of false positive single nucleotide variants not phased by multiple LFR haplotypes resulted in a final genome error rate of 1 in 10 megabases. Cost-effective and accurate genome sequencing and haplotyping from 10-20 human cells, as demonstrated here, will enable comprehensive genetic studies and diverse clinical applications.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3397394/" 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/PMC3397394/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Peters, Brock A -- Kermani, Bahram G -- Sparks, Andrew B -- Alferov, Oleg -- Hong, Peter -- Alexeev, Andrei -- Jiang, Yuan -- Dahl, Fredrik -- Tang, Y Tom -- Haas, Juergen -- Robasky, Kimberly -- Zaranek, Alexander Wait -- Lee, Je-Hyuk -- Ball, Madeleine Price -- Peterson, Joseph E -- Perazich, Helena -- Yeung, George -- Liu, Jia -- Chen, Linsu -- Kennemer, Michael I -- Pothuraju, Kaliprasad -- Konvicka, Karel -- Tsoupko-Sitnikov, Mike -- Pant, Krishna P -- Ebert, Jessica C -- Nilsen, Geoffrey B -- Baccash, Jonathan -- Halpern, Aaron L -- Church, George M -- Drmanac, Radoje -- P50 HG005550/HG/NHGRI NIH HHS/ -- P50HG005550/HG/NHGRI NIH HHS/ -- England -- Nature. 2012 Jul 11;487(7406):190-5. doi: 10.1038/nature11236.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Complete Genomics, Inc., 2071 Stierlin Court, Mountain View, California 94043, USA. bpeters@completegenomics.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22785314" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Cell Line ; Female ; Gene Silencing ; Genetic Variation ; *Genome, Human ; Genomics/*methods ; Haplotypes ; Humans ; Mutation ; Reproducibility of Results ; Sequence Analysis, DNA/economics/*methods/standards
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2009-11-07
    Description: Genome sequencing of large numbers of individuals promises to advance the understanding, treatment, and prevention of human diseases, among other applications. We describe a genome sequencing platform that achieves efficient imaging and low reagent consumption with combinatorial probe anchor ligation chemistry to independently assay each base from patterned nanoarrays of self-assembling DNA nanoballs. We sequenced three human genomes with this platform, generating an average of 45- to 87-fold coverage per genome and identifying 3.2 to 4.5 million sequence variants per genome. Validation of one genome data set demonstrates a sequence accuracy of about 1 false variant per 100 kilobases. The high accuracy, affordable cost of $4400 for sequencing consumables, and scalability of this platform enable complete human genome sequencing for the detection of rare variants in large-scale genetic studies.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Drmanac, Radoje -- Sparks, Andrew B -- Callow, Matthew J -- Halpern, Aaron L -- Burns, Norman L -- Kermani, Bahram G -- Carnevali, Paolo -- Nazarenko, Igor -- Nilsen, Geoffrey B -- Yeung, George -- Dahl, Fredrik -- Fernandez, Andres -- Staker, Bryan -- Pant, Krishna P -- Baccash, Jonathan -- Borcherding, Adam P -- Brownley, Anushka -- Cedeno, Ryan -- Chen, Linsu -- Chernikoff, Dan -- Cheung, Alex -- Chirita, Razvan -- Curson, Benjamin -- Ebert, Jessica C -- Hacker, Coleen R -- Hartlage, Robert -- Hauser, Brian -- Huang, Steve -- Jiang, Yuan -- Karpinchyk, Vitali -- Koenig, Mark -- Kong, Calvin -- Landers, Tom -- Le, Catherine -- Liu, Jia -- McBride, Celeste E -- Morenzoni, Matt -- Morey, Robert E -- Mutch, Karl -- Perazich, Helena -- Perry, Kimberly -- Peters, Brock A -- Peterson, Joe -- Pethiyagoda, Charit L -- Pothuraju, Kaliprasad -- Richter, Claudia -- Rosenbaum, Abraham M -- Roy, Shaunak -- Shafto, Jay -- Sharanhovich, Uladzislau -- Shannon, Karen W -- Sheppy, Conrad G -- Sun, Michel -- Thakuria, Joseph V -- Tran, Anne -- Vu, Dylan -- Zaranek, Alexander Wait -- Wu, Xiaodi -- Drmanac, Snezana -- Oliphant, Arnold R -- Banyai, William C -- Martin, Bruce -- Ballinger, Dennis G -- Church, George M -- Reid, Clifford A -- New York, N.Y. -- Science. 2010 Jan 1;327(5961):78-81. doi: 10.1126/science.1181498. Epub 2009 Nov 5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Complete Genomics, Inc., 2071 Stierlin Court, Mountain View, CA 94043, USA. rdrmanac@completegenomics.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19892942" target="_blank"〉PubMed〈/a〉
    Keywords: Base Sequence ; Computational Biology ; Costs and Cost Analysis ; DNA/*chemistry/genetics ; Databases, Nucleic Acid ; *Genome, Human ; Genomic Library ; Genotype ; Haplotypes ; Human Genome Project ; Humans ; Male ; *Microarray Analysis ; Nanostructures ; Nanotechnology ; Nucleic Acid Amplification Techniques ; Polymorphism, Single Nucleotide ; Sequence Analysis, DNA/economics/instrumentation/*methods/standards ; Software
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 1994-02-15
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 8
    Publication Date: 1996-02-20
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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