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  • Humans  (49)
  • Animals  (26)
  • Molecular Sequence Data  (7)
  • 1
    Publication Date: 1999-01-23
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Pardes, H -- Manton, K G -- Lander, E S -- Tolley, H D -- Ullian, A D -- Palmer, H -- New York, N.Y. -- Science. 1999 Jan 1;283(5398):36-7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Faculty of Medicine, College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA. hp2@columbia.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/9917262" target="_blank"〉PubMed〈/a〉
    Keywords: Aged ; *Biotechnology/economics ; *Delivery of Health Care ; Disabled Persons ; Drug Industry ; *Economics, Medical ; *Health Care Costs ; Health Status ; Humans ; Longevity ; *Research ; United States
    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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  • 2
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2001-02-07
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lander, E S -- Weinberg, R A -- New York, N.Y. -- Science. 2000 Mar 10;287(5459):1777-82.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biology at the Massachusetts Institute of Technology, Cambridge, MA 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/10755930" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Chromosome Mapping ; Chromosomes/genetics ; Cloning, Molecular ; DNA/chemistry/genetics ; DNA, Recombinant ; Evolution, Molecular ; Genes ; Genetic Code ; Genetics/*history/trends ; Genetics, Medical/history/trends ; History, 19th Century ; History, 20th Century ; Human Genome Project ; Humans ; 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: 2001-10-27
    Description: Dendritic cells are involved in the initiation of both innate and adaptive immunity. To systematically explore how dendritic cells modulate the immune system in response to different pathogens, we used oligonucleotide microarrays to measure gene expression profiles of dendritic cells in response to Escherichia coli, Candida albicans, and influenza virus as well as to their molecular components. Both a shared core response and pathogen-specific programs of gene expression were observed upon exposure to each of these pathogens. These results reveal that dendritic cells sense diverse pathogens and elicit tailored pathogen-specific immune responses.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Huang, Q -- Liu, D -- Majewski, P -- Schulte, L C -- Korn, J M -- Young, R A -- Lander, E S -- Hacohen, N -- New York, N.Y. -- Science. 2001 Oct 26;294(5543):870-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/11679675" target="_blank"〉PubMed〈/a〉
    Keywords: Antigen Presentation/genetics ; Candida albicans/*immunology ; Cells, Cultured ; Dendritic Cells/*immunology/metabolism ; Escherichia coli/*immunology ; Gene Expression Profiling ; *Gene Expression Regulation ; Humans ; Immunity, Innate ; Immunologic Factors/genetics ; Inflammation/immunology ; Influenza A virus/*immunology ; Leukocytes/immunology ; Lipopolysaccharides/immunology ; Mannans/immunology ; Oligonucleotide Array Sequence Analysis ; Phagocytosis ; RNA, Double-Stranded/immunology
    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: 1999-10-16
    Description: Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumors to known classes (class prediction). Here, a generic approach to cancer classification based on gene expression monitoring by DNA microarrays is described and applied to human acute leukemias as a test case. A class discovery procedure automatically discovered the distinction between acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) without previous knowledge of these classes. An automatically derived class predictor was able to determine the class of new leukemia cases. The results demonstrate the feasibility of cancer classification based solely on gene expression monitoring and suggest a general strategy for discovering and predicting cancer classes for other types of cancer, independent of previous biological knowledge.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Golub, T R -- Slonim, D K -- Tamayo, P -- Huard, C -- Gaasenbeek, M -- Mesirov, J P -- Coller, H -- Loh, M L -- Downing, J R -- Caligiuri, M A -- Bloomfield, C D -- Lander, E S -- New York, N.Y. -- Science. 1999 Oct 15;286(5439):531-7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Whitehead Institute/Massachusetts Institute of Technology Center for Genome Research, Cambridge, MA 02139, USA. golub@genome.wi.mit.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/10521349" target="_blank"〉PubMed〈/a〉
    Keywords: Acute Disease ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use ; Cell Adhesion/genetics ; Cell Cycle/genetics ; *Gene Expression Profiling ; Homeodomain Proteins/genetics ; Humans ; Leukemia, Myeloid/*classification/drug therapy/*genetics ; Neoplasm Proteins/genetics ; Neoplasms/classification/genetics ; Oligonucleotide Array Sequence Analysis ; Oncogenes ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/*classification/drug ; therapy/*genetics ; Predictive Value of Tests ; Reproducibility of Results ; Treatment Outcome
    Print ISSN: 0036-8075
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    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 1998-06-06
    Description: Single-nucleotide polymorphisms (SNPs) are the most frequent type of variation in the human genome, and they provide powerful tools for a variety of medical genetic studies. In a large-scale survey for SNPs, 2.3 megabases of human genomic DNA was examined by a combination of gel-based sequencing and high-density variation-detection DNA chips. A total of 3241 candidate SNPs were identified. A genetic map was constructed showing the location of 2227 of these SNPs. Prototype genotyping chips were developed that allow simultaneous genotyping of 500 SNPs. The results provide a characterization of human diversity at the nucleotide level and demonstrate the feasibility of large-scale identification of human SNPs.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wang, D G -- Fan, J B -- Siao, C J -- Berno, A -- Young, P -- Sapolsky, R -- Ghandour, G -- Perkins, N -- Winchester, E -- Spencer, J -- Kruglyak, L -- Stein, L -- Hsie, L -- Topaloglou, T -- Hubbell, E -- Robinson, E -- Mittmann, M -- Morris, M S -- Shen, N -- Kilburn, D -- Rioux, J -- Nusbaum, C -- Rozen, S -- Hudson, T J -- Lipshutz, R -- Chee, M -- Lander, E S -- HG00098/HG/NHGRI NIH HHS/ -- HG01323/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 1998 May 15;280(5366):1077-82.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Whitehead Institute for Biomedical Research, Nine Cambridge Center, Cambridge, MA 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/9582121" target="_blank"〉PubMed〈/a〉
    Keywords: Algorithms ; Alleles ; Chromosome Mapping/*methods ; DNA, Complementary ; Databases, Factual ; Deoxyribonucleotides/*genetics ; Dinucleoside Phosphates ; Gene Expression ; Genetic Markers ; *Genetic Techniques ; Genetic Variation ; *Genome, Human ; *Genotype ; Heterozygote ; Homozygote ; Humans ; Molecular Sequence Data ; Nucleic Acid Hybridization ; Polymerase Chain Reaction ; *Polymorphism, Genetic ; Reproducibility of Results ; Sequence Analysis, DNA ; Sequence Tagged Sites
    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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  • 6
    Publication Date: 2010-02-19
    Description: A powerful way to discover key genes with causal roles in oncogenesis is to identify genomic regions that undergo frequent alteration in human cancers. Here we present high-resolution analyses of somatic copy-number alterations (SCNAs) from 3,131 cancer specimens, belonging largely to 26 histological types. We identify 158 regions of focal SCNA that are altered at significant frequency across several cancer types, of which 122 cannot be explained by the presence of a known cancer target gene located within these regions. Several gene families are enriched among these regions of focal SCNA, including the BCL2 family of apoptosis regulators and the NF-kappaBeta pathway. We show that cancer cells containing amplifications surrounding the MCL1 and BCL2L1 anti-apoptotic genes depend on the expression of these genes for survival. Finally, we demonstrate that a large majority of SCNAs identified in individual cancer types are present in several cancer types.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2826709/" 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/PMC2826709/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Beroukhim, Rameen -- Mermel, Craig H -- Porter, Dale -- Wei, Guo -- Raychaudhuri, Soumya -- Donovan, Jerry -- Barretina, Jordi -- Boehm, Jesse S -- Dobson, Jennifer -- Urashima, Mitsuyoshi -- Mc Henry, Kevin T -- Pinchback, Reid M -- Ligon, Azra H -- Cho, Yoon-Jae -- Haery, Leila -- Greulich, Heidi -- Reich, Michael -- Winckler, Wendy -- Lawrence, Michael S -- Weir, Barbara A -- Tanaka, Kumiko E -- Chiang, Derek Y -- Bass, Adam J -- Loo, Alice -- Hoffman, Carter -- Prensner, John -- Liefeld, Ted -- Gao, Qing -- Yecies, Derek -- Signoretti, Sabina -- Maher, Elizabeth -- Kaye, Frederic J -- Sasaki, Hidefumi -- Tepper, Joel E -- Fletcher, Jonathan A -- Tabernero, Josep -- Baselga, Jose -- Tsao, Ming-Sound -- Demichelis, Francesca -- Rubin, Mark A -- Janne, Pasi A -- Daly, Mark J -- Nucera, Carmelo -- Levine, Ross L -- Ebert, Benjamin L -- Gabriel, Stacey -- Rustgi, Anil K -- Antonescu, Cristina R -- Ladanyi, Marc -- Letai, Anthony -- Garraway, Levi A -- Loda, Massimo -- Beer, David G -- True, Lawrence D -- Okamoto, Aikou -- Pomeroy, Scott L -- Singer, Samuel -- Golub, Todd R -- Lander, Eric S -- Getz, Gad -- Sellers, William R -- Meyerson, Matthew -- K08 AR055688/AR/NIAMS NIH HHS/ -- K08 AR055688-03/AR/NIAMS NIH HHS/ -- K08 AR055688-04/AR/NIAMS NIH HHS/ -- K08 CA122833/CA/NCI NIH HHS/ -- K08 CA122833-01A1/CA/NCI NIH HHS/ -- K08 CA122833-02/CA/NCI NIH HHS/ -- K08 CA122833-03/CA/NCI NIH HHS/ -- K08 CA134931/CA/NCI NIH HHS/ -- K08CA122833/CA/NCI NIH HHS/ -- P01CA 098101/CA/NCI NIH HHS/ -- P01CA085859/CA/NCI NIH HHS/ -- P50CA90578/CA/NCI NIH HHS/ -- R01 CA109038/CA/NCI NIH HHS/ -- R01 GM074024/GM/NIGMS NIH HHS/ -- R01CA109038/CA/NCI NIH HHS/ -- R01CA109467/CA/NCI NIH HHS/ -- T32 GM007753/GM/NIGMS NIH HHS/ -- U24 CA126546/CA/NCI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2010 Feb 18;463(7283):899-905. doi: 10.1038/nature08822.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Cancer Program and Medical and Population Genetics Group, The Broad Institute of M.I.T. and Harvard, 7 Cambridge Center.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20164920" target="_blank"〉PubMed〈/a〉
    Keywords: Apoptosis/genetics ; Cell Line, Tumor ; Cell Survival/genetics ; DNA Copy Number Variations/*genetics ; Gene Amplification/genetics ; Gene Dosage/*genetics ; Genomics ; Humans ; Multigene Family/genetics ; Myeloid Cell Leukemia Sequence 1 Protein ; Neoplasms/classification/*genetics/pathology ; Proto-Oncogene Proteins c-bcl-2/genetics ; Signal Transduction ; bcl-X Protein/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
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  • 7
    Publication Date: 2008-07-05
    Description: DNA methylation is essential for normal development and has been implicated in many pathologies including cancer. Our knowledge about the genome-wide distribution of DNA methylation, how it changes during cellular differentiation and how it relates to histone methylation and other chromatin modifications in mammals remains limited. Here we report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput reduced representation bisulphite sequencing and single-molecule-based sequencing, we generated DNA methylation maps covering most CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for mouse embryonic stem cells, embryonic-stem-cell-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of embryonic-stem-cell-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumours. More generally, the results establish reduced representation bisulphite sequencing as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2896277/" 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/PMC2896277/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Meissner, Alexander -- Mikkelsen, Tarjei S -- Gu, Hongcang -- Wernig, Marius -- Hanna, Jacob -- Sivachenko, Andrey -- Zhang, Xiaolan -- Bernstein, Bradley E -- Nusbaum, Chad -- Jaffe, David B -- Gnirke, Andreas -- Jaenisch, Rudolf -- Lander, Eric S -- R01 HG004401/HG/NHGRI NIH HHS/ -- R01 HG004401-02/HG/NHGRI NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54 HG003067-04/HG/NHGRI NIH HHS/ -- U54 HG003067-06/HG/NHGRI NIH HHS/ -- England -- Nature. 2008 Aug 7;454(7205):766-70. doi: 10.1038/nature07107. Epub 2008 Jul 6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18600261" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Cell Differentiation ; Cells, Cultured ; Conserved Sequence ; CpG Islands/genetics ; *DNA Methylation ; Embryonic Stem Cells/cytology/metabolism ; Fibroblasts/cytology ; Genome/genetics ; *Genomics ; Histones/genetics/metabolism ; Male ; Mice ; Neurons/cytology ; Pluripotent Stem Cells/*cytology/*metabolism
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  • 8
    Publication Date: 2008-05-30
    Description: Somatic cells can be reprogrammed to a pluripotent state through the ectopic expression of defined transcription factors. Understanding the mechanism and kinetics of this transformation may shed light on the nature of developmental potency and suggest strategies with improved efficiency or safety. Here we report an integrative genomic analysis of reprogramming of mouse fibroblasts and B lymphocytes. Lineage-committed cells show a complex response to the ectopic expression involving induction of genes downstream of individual reprogramming factors. Fully reprogrammed cells show gene expression and epigenetic states that are highly similar to embryonic stem cells. In contrast, stable partially reprogrammed cell lines show reactivation of a distinctive subset of stem-cell-related genes, incomplete repression of lineage-specifying transcription factors, and DNA hypermethylation at pluripotency-related loci. These observations suggest that some cells may become trapped in partially reprogrammed states owing to incomplete repression of transcription factors, and that DNA de-methylation is an inefficient step in the transition to pluripotency. We demonstrate that RNA inhibition of transcription factors can facilitate reprogramming, and that treatment with DNA methyltransferase inhibitors can improve the overall efficiency of the reprogramming process.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2754827/" 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/PMC2754827/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mikkelsen, Tarjei S -- Hanna, Jacob -- Zhang, Xiaolan -- Ku, Manching -- Wernig, Marius -- Schorderet, Patrick -- Bernstein, Bradley E -- Jaenisch, Rudolf -- Lander, Eric S -- Meissner, Alexander -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54 HG003067-04/HG/NHGRI NIH HHS/ -- England -- Nature. 2008 Jul 3;454(7200):49-55. doi: 10.1038/nature07056. Epub 2008 May 28.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, Massachusetts 02142, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18509334" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Azacitidine/pharmacology ; Cell Line ; Cell Lineage ; Cellular Reprogramming/*genetics ; Chromatin/metabolism ; DNA (Cytosine-5-)-Methyltransferase/antagonists & inhibitors/genetics/metabolism ; DNA Methylation ; Embryonic Stem Cells/metabolism ; Enzyme Inhibitors/pharmacology ; Gene Expression Profiling ; Gene Expression Regulation, Developmental ; Genome/genetics ; *Genomics ; Mice ; Pluripotent Stem Cells/cytology/*metabolism ; Transcription Factors/deficiency/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 9
    Publication Date: 2008-11-21
    Description: In 1994, two independent groups extracted DNA from several Pleistocene epoch mammoths and noted differences among individual specimens. Subsequently, DNA sequences have been published for a number of extinct species. However, such ancient DNA is often fragmented and damaged, and studies to date have typically focused on short mitochondrial sequences, never yielding more than a fraction of a per cent of any nuclear genome. Here we describe 4.17 billion bases (Gb) of sequence from several mammoth specimens, 3.3 billion (80%) of which are from the woolly mammoth (Mammuthus primigenius) genome and thus comprise an extensive set of genome-wide sequence from an extinct species. Our data support earlier reports that elephantid genomes exceed 4 Gb. The estimated divergence rate between mammoth and African elephant is half of that between human and chimpanzee. The observed number of nucleotide differences between two particular mammoths was approximately one-eighth of that between one of them and the African elephant, corresponding to a separation between the mammoths of 1.5-2.0 Myr. The estimated probability that orthologous elephant and mammoth amino acids differ is 0.002, corresponding to about one residue per protein. Differences were discovered between mammoth and African elephant in amino-acid positions that are otherwise invariant over several billion years of combined mammalian evolution. This study shows that nuclear genome sequencing of extinct species can reveal population differences not evident from the fossil record, and perhaps even discover genetic factors that affect extinction.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Miller, Webb -- Drautz, Daniela I -- Ratan, Aakrosh -- Pusey, Barbara -- Qi, Ji -- Lesk, Arthur M -- Tomsho, Lynn P -- Packard, Michael D -- Zhao, Fangqing -- Sher, Andrei -- Tikhonov, Alexei -- Raney, Brian -- Patterson, Nick -- Lindblad-Toh, Kerstin -- Lander, Eric S -- Knight, James R -- Irzyk, Gerard P -- Fredrikson, Karin M -- Harkins, Timothy T -- Sheridan, Sharon -- Pringle, Tom -- Schuster, Stephan C -- HG002238/HG/NHGRI NIH HHS/ -- England -- Nature. 2008 Nov 20;456(7220):387-90. doi: 10.1038/nature07446.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Pennsylvania State University, Center for Comparative Genomics and Bioinformatics, 310 Wartik Building, University Park, Pennsylvania 16802, USA. webb@bx.psu.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19020620" target="_blank"〉PubMed〈/a〉
    Keywords: Africa ; Animals ; Cell Nucleus/*genetics ; Conserved Sequence/genetics ; Elephants/anatomy & histology/*genetics ; *Evolution, Molecular ; *Extinction, Biological ; Female ; *Fossils ; Genome/*genetics ; *Genomics ; Hair/metabolism ; Humans ; India ; Male ; Phylogeny ; Sequence Analysis, DNA/*methods
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  • 10
    Publication Date: 2008-10-25
    Description: Determining the genetic basis of cancer requires comprehensive analyses of large collections of histopathologically well-classified primary tumours. Here we report the results of a collaborative study to discover somatic mutations in 188 human lung adenocarcinomas. DNA sequencing of 623 genes with known or potential relationships to cancer revealed more than 1,000 somatic mutations across the samples. Our analysis identified 26 genes that are mutated at significantly high frequencies and thus are probably involved in carcinogenesis. The frequently mutated genes include tyrosine kinases, among them the EGFR homologue ERBB4; multiple ephrin receptor genes, notably EPHA3; vascular endothelial growth factor receptor KDR; and NTRK genes. These data provide evidence of somatic mutations in primary lung adenocarcinoma for several tumour suppressor genes involved in other cancers--including NF1, APC, RB1 and ATM--and for sequence changes in PTPRD as well as the frequently deleted gene LRP1B. The observed mutational profiles correlate with clinical features, smoking status and DNA repair defects. These results are reinforced by data integration including single nucleotide polymorphism array and gene expression array. Our findings shed further light on several important signalling pathways involved in lung adenocarcinoma, and suggest new molecular targets for treatment.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2694412/" 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/PMC2694412/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ding, Li -- Getz, Gad -- Wheeler, David A -- Mardis, Elaine R -- McLellan, Michael D -- Cibulskis, Kristian -- Sougnez, Carrie -- Greulich, Heidi -- Muzny, Donna M -- Morgan, Margaret B -- Fulton, Lucinda -- Fulton, Robert S -- Zhang, Qunyuan -- Wendl, Michael C -- Lawrence, Michael S -- Larson, David E -- Chen, Ken -- Dooling, David J -- Sabo, Aniko -- Hawes, Alicia C -- Shen, Hua -- Jhangiani, Shalini N -- Lewis, Lora R -- Hall, Otis -- Zhu, Yiming -- Mathew, Tittu -- Ren, Yanru -- Yao, Jiqiang -- Scherer, Steven E -- Clerc, Kerstin -- Metcalf, Ginger A -- Ng, Brian -- Milosavljevic, Aleksandar -- Gonzalez-Garay, Manuel L -- Osborne, John R -- Meyer, Rick -- Shi, Xiaoqi -- Tang, Yuzhu -- Koboldt, Daniel C -- Lin, Ling -- Abbott, Rachel -- Miner, Tracie L -- Pohl, Craig -- Fewell, Ginger -- Haipek, Carrie -- Schmidt, Heather -- Dunford-Shore, Brian H -- Kraja, Aldi -- Crosby, Seth D -- Sawyer, Christopher S -- Vickery, Tammi -- Sander, Sacha -- Robinson, Jody -- Winckler, Wendy -- Baldwin, Jennifer -- Chirieac, Lucian R -- Dutt, Amit -- Fennell, Tim -- Hanna, Megan -- Johnson, Bruce E -- Onofrio, Robert C -- Thomas, Roman K -- Tonon, Giovanni -- Weir, Barbara A -- Zhao, Xiaojun -- Ziaugra, Liuda -- Zody, Michael C -- Giordano, Thomas -- Orringer, Mark B -- Roth, Jack A -- Spitz, Margaret R -- Wistuba, Ignacio I -- Ozenberger, Bradley -- Good, Peter J -- Chang, Andrew C -- Beer, David G -- Watson, Mark A -- Ladanyi, Marc -- Broderick, Stephen -- Yoshizawa, Akihiko -- Travis, William D -- Pao, William -- Province, Michael A -- Weinstock, George M -- Varmus, Harold E -- Gabriel, Stacey B -- Lander, Eric S -- Gibbs, Richard A -- Meyerson, Matthew -- Wilson, Richard K -- P50 CA070907/CA/NCI NIH HHS/ -- R01 CA154365/CA/NCI NIH HHS/ -- U19 CA084953/CA/NCI NIH HHS/ -- U19 CA084953-050003/CA/NCI NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- U54 HG003067-04/HG/NHGRI NIH HHS/ -- U54 HG003273/HG/NHGRI NIH HHS/ -- England -- Nature. 2008 Oct 23;455(7216):1069-75. doi: 10.1038/nature07423.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Genome Center at Washington University, Department of Genetics, Washington University School of Medicine, St Louis, Missouri 63108, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18948947" target="_blank"〉PubMed〈/a〉
    Keywords: Adenocarcinoma, Bronchiolo-Alveolar/*genetics ; Female ; Gene Dosage ; Gene Expression Regulation, Neoplastic ; Genes, Tumor Suppressor ; Humans ; Lung Neoplasms/*genetics ; Male ; Mutation/*genetics ; Proto-Oncogenes/genetics
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