ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • Genome, Human/*genetics
  • Nature Publishing Group (NPG)  (2)
  • American Physical Society (APS)
  • National Academy of Sciences
  • Springer
  • 1
    facet.materialart.
    Unknown
    The complete genome of an individual by massively parallel DNA sequencing (2008)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2008-04-19
    Description: The association of genetic variation with disease and drug response, and improvements in nucleic acid technologies, have given great optimism for the impact of 'genomic medicine'. However, the formidable size of the diploid human genome, approximately 6 gigabases, has prevented the routine application of sequencing methods to deciphering complete individual human genomes. To realize the full potential of genomics for human health, this limitation must be overcome. Here we report the DNA sequence of a diploid genome of a single individual, James D. Watson, sequenced to 7.4-fold redundancy in two months using massively parallel sequencing in picolitre-size reaction vessels. This sequence was completed in two months at approximately one-hundredth of the cost of traditional capillary electrophoresis methods. Comparison of the sequence to the reference genome led to the identification of 3.3 million single nucleotide polymorphisms, of which 10,654 cause amino-acid substitution within the coding sequence. In addition, we accurately identified small-scale (2-40,000 base pair (bp)) insertion and deletion polymorphism as well as copy number variation resulting in the large-scale gain and loss of chromosomal segments ranging from 26,000 to 1.5 million base pairs. Overall, these results agree well with recent results of sequencing of a single individual by traditional methods. However, in addition to being faster and significantly less expensive, this sequencing technology avoids the arbitrary loss of genomic sequences inherent in random shotgun sequencing by bacterial cloning because it amplifies DNA in a cell-free system. As a result, we further demonstrate the acquisition of novel human sequence, including novel genes not previously identified by traditional genomic sequencing. This is the first genome sequenced by next-generation technologies. Therefore it is a pilot for the future challenges of 'personalized genome sequencing'.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wheeler, David A -- Srinivasan, Maithreyan -- Egholm, Michael -- Shen, Yufeng -- Chen, Lei -- McGuire, Amy -- He, Wen -- Chen, Yi-Ju -- Makhijani, Vinod -- Roth, G Thomas -- Gomes, Xavier -- Tartaro, Karrie -- Niazi, Faheem -- Turcotte, Cynthia L -- Irzyk, Gerard P -- Lupski, James R -- Chinault, Craig -- Song, Xing-zhi -- Liu, Yue -- Yuan, Ye -- Nazareth, Lynne -- Qin, Xiang -- Muzny, Donna M -- Margulies, Marcel -- Weinstock, George M -- Gibbs, Richard A -- Rothberg, Jonathan M -- U54 HG003273/HG/NHGRI NIH HHS/ -- England -- Nature. 2008 Apr 17;452(7189):872-6. doi: 10.1038/nature06884.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, Texas 77030, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18421352" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Computational Biology ; Genetic Predisposition to Disease/genetics ; Genetic Variation/*genetics ; Genome, Human/*genetics ; Genomics/economics/*methods/trends ; Genotype ; Humans ; Individuality ; Male ; Oligonucleotide Array Sequence Analysis ; Polymorphism, Single Nucleotide/genetics ; Reproducibility of Results ; Sensitivity and Specificity ; Sequence Alignment ; Sequence Analysis, DNA/economics/*methods ; Software
    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)
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER CURRENT
  • 2
    facet.materialart.
    Unknown
    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)
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
    PAPER CURRENT
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...