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  • 1
    Publication Date: 2013-12-19
    Description: Connections between disease phenotypes and drug effects can be made by identifying commonalities in the associated patterns of differential gene expression. Searchable databases that record the impacts of chemical or genetic perturbations on the transcriptome—here referred to as ‘connectivity maps’—permit discovery of such commonalities. We describe two R packages, gCMAP and gCMAPWeb, which provide a complete framework to construct and query connectivity maps assembled from user-defined collections of differential gene expression data. Microarray or RNAseq data are processed in a standardized way, and results can be interrogated using various well-established gene set enrichment methods. The packages also feature an easy-to-deploy web application that facilitates reproducible research through automatic generation of graphical and tabular reports. Availability and implementation: The gCMAP and gCMAPWeb R packages are freely available for UNIX, Windows and Mac OS X operating systems at Bioconductor ( http://www.bioconductor.org ). Contact: bourgon.richard@gene.com Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 2
    Publication Date: 2008-07-11
    Description: Meiotic recombination has a central role in the evolution of sexually reproducing organisms. The two recombination outcomes, crossover and non-crossover, increase genetic diversity, but have the potential to homogenize alleles by gene conversion. Whereas crossover rates vary considerably across the genome, non-crossovers and gene conversions have only been identified in a handful of loci. To examine recombination genome wide and at high spatial resolution, we generated maps of crossovers, crossover-associated gene conversion and non-crossover gene conversion using dense genetic marker data collected from all four products of fifty-six yeast (Saccharomyces cerevisiae) meioses. Our maps reveal differences in the distributions of crossovers and non-crossovers, showing more regions where either crossovers or non-crossovers are favoured than expected by chance. Furthermore, we detect evidence for interference between crossovers and non-crossovers, a phenomenon previously only known to occur between crossovers. Up to 1% of the genome of each meiotic product is subject to gene conversion in a single meiosis, with detectable bias towards GC nucleotides. To our knowledge the maps represent the first high-resolution, genome-wide characterization of the multiple outcomes of recombination in any organism. In addition, because non-crossover hotspots create holes of reduced linkage within haplotype blocks, our results stress the need to incorporate non-crossovers into genetic linkage analysis.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2780006/" 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/PMC2780006/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mancera, Eugenio -- Bourgon, Richard -- Brozzi, Alessandro -- Huber, Wolfgang -- Steinmetz, Lars M -- P01 HG000205/HG/NHGRI NIH HHS/ -- P01 HG000205-19/HG/NHGRI NIH HHS/ -- R01 GM068717/GM/NIGMS NIH HHS/ -- R01 GM068717-06/GM/NIGMS NIH HHS/ -- England -- Nature. 2008 Jul 24;454(7203):479-85. doi: 10.1038/nature07135. Epub 2008 Jul 9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18615017" target="_blank"〉PubMed〈/a〉
    Keywords: *Chromosome Mapping ; Chromosomes, Fungal/genetics ; Crossing Over, Genetic/*genetics ; DNA Breaks, Double-Stranded ; DNA-Binding Proteins/genetics ; Flap Endonucleases ; Gene Conversion/*genetics ; Gene Expression Regulation, Fungal ; Genetic Linkage/genetics ; Genetic Markers/genetics ; Genome, Fungal/genetics ; Genotype ; Haplotypes/genetics ; Meiosis/*genetics ; Mutation/genetics ; Saccharomyces cerevisiae/cytology/*genetics ; Saccharomyces cerevisiae Proteins/genetics ; Trans-Activators/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2010-07-30
    Description: The systematic characterization of somatic mutations in cancer genomes is essential for understanding the disease and for developing targeted therapeutics. Here we report the identification of 2,576 somatic mutations across approximately 1,800 megabases of DNA representing 1,507 coding genes from 441 tumours comprising breast, lung, ovarian and prostate cancer types and subtypes. We found that mutation rates and the sets of mutated genes varied substantially across tumour types and subtypes. Statistical analysis identified 77 significantly mutated genes including protein kinases, G-protein-coupled receptors such as GRM8, BAI3, AGTRL1 (also called APLNR) and LPHN3, and other druggable targets. Integrated analysis of somatic mutations and copy number alterations identified another 35 significantly altered genes including GNAS, indicating an expanded role for galpha subunits in multiple cancer types. Furthermore, our experimental analyses demonstrate the functional roles of mutant GNAO1 (a Galpha subunit) and mutant MAP2K4 (a member of the JNK signalling pathway) in oncogenesis. Our study provides an overview of the mutational spectra across major human cancers and identifies several potential therapeutic targets.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kan, Zhengyan -- Jaiswal, Bijay S -- Stinson, Jeremy -- Janakiraman, Vasantharajan -- Bhatt, Deepali -- Stern, Howard M -- Yue, Peng -- Haverty, Peter M -- Bourgon, Richard -- Zheng, Jianbiao -- Moorhead, Martin -- Chaudhuri, Subhra -- Tomsho, Lynn P -- Peters, Brock A -- Pujara, Kanan -- Cordes, Shaun -- Davis, David P -- Carlton, Victoria E H -- Yuan, Wenlin -- Li, Li -- Wang, Weiru -- Eigenbrot, Charles -- Kaminker, Joshua S -- Eberhard, David A -- Waring, Paul -- Schuster, Stephan C -- Modrusan, Zora -- Zhang, Zemin -- Stokoe, David -- de Sauvage, Frederic J -- Faham, Malek -- Seshagiri, Somasekar -- England -- Nature. 2010 Aug 12;466(7308):869-73. doi: 10.1038/nature09208. Epub 2010 Jul 28.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular Biology, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20668451" target="_blank"〉PubMed〈/a〉
    Keywords: Breast Neoplasms/classification/genetics ; DNA Copy Number Variations/genetics ; DNA Mutational Analysis ; Female ; GTP-Binding Protein alpha Subunits/genetics ; Genes, Neoplasm/*genetics ; Humans ; Lung Neoplasms/classification/genetics ; MAP Kinase Kinase 4/genetics ; Male ; Mutation/*genetics ; Neoplasms/enzymology/*genetics/*metabolism/pathology ; Ovarian Neoplasms/classification/genetics ; Prostatic Neoplasms/classification/genetics ; Protein Kinases/genetics ; Receptors, G-Protein-Coupled/genetics ; Signal Transduction/*genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2012-08-17
    Description: Identifying and understanding changes in cancer genomes is essential for the development of targeted therapeutics. Here we analyse systematically more than 70 pairs of primary human colon tumours by applying next-generation sequencing to characterize their exomes, transcriptomes and copy-number alterations. We have identified 36,303 protein-altering somatic changes that include several new recurrent mutations in the Wnt pathway gene TCF7L2, chromatin-remodelling genes such as TET2 and TET3 and receptor tyrosine kinases including ERBB3. Our analysis for significantly mutated cancer genes identified 23 candidates, including the cell cycle checkpoint kinase ATM. Copy-number and RNA-seq data analysis identified amplifications and corresponding overexpression of IGF2 in a subset of colon tumours. Furthermore, using RNA-seq data we identified multiple fusion transcripts including recurrent gene fusions involving R-spondin family members RSPO2 and RSPO3 that together occur in 10% of colon tumours. The RSPO fusions were mutually exclusive with APC mutations, indicating that they probably have a role in the activation of Wnt signalling and tumorigenesis. Consistent with this we show that the RSPO fusion proteins were capable of potentiating Wnt signalling. The R-spondin gene fusions and several other gene mutations identified in this study provide new potential opportunities for therapeutic intervention in colon cancer.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3690621/" 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/PMC3690621/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Seshagiri, Somasekar -- Stawiski, Eric W -- Durinck, Steffen -- Modrusan, Zora -- Storm, Elaine E -- Conboy, Caitlin B -- Chaudhuri, Subhra -- Guan, Yinghui -- Janakiraman, Vasantharajan -- Jaiswal, Bijay S -- Guillory, Joseph -- Ha, Connie -- Dijkgraaf, Gerrit J P -- Stinson, Jeremy -- Gnad, Florian -- Huntley, Melanie A -- Degenhardt, Jeremiah D -- Haverty, Peter M -- Bourgon, Richard -- Wang, Weiru -- Koeppen, Hartmut -- Gentleman, Robert -- Starr, Timothy K -- Zhang, Zemin -- Largaespada, David A -- Wu, Thomas D -- de Sauvage, Frederic J -- R00 CA151672/CA/NCI NIH HHS/ -- R01 CA134759/CA/NCI NIH HHS/ -- R01-CA134759/CA/NCI NIH HHS/ -- T32 CA009138/CA/NCI NIH HHS/ -- England -- Nature. 2012 Aug 30;488(7413):660-4. doi: 10.1038/nature11282.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular Biology, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, USA. sekar@gene.com〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22895193" target="_blank"〉PubMed〈/a〉
    Keywords: Ataxia Telangiectasia Mutated Proteins ; Base Sequence ; Cell Cycle Proteins/genetics ; Colonic Neoplasms/*genetics/metabolism/pathology ; DNA Copy Number Variations/genetics ; DNA-Binding Proteins/genetics ; Dioxygenases/genetics ; Exome/genetics ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic/genetics ; Gene Fusion/*genetics ; Genes, APC ; Genes, Neoplasm/*genetics ; Humans ; Insulin-Like Growth Factor II/genetics ; Intercellular Signaling Peptides and Proteins/*genetics ; Molecular Sequence Data ; Mutation/genetics ; Polymorphism, Single Nucleotide/genetics ; Protein-Serine-Threonine Kinases/genetics ; Proto-Oncogene Proteins/genetics ; Receptor, ErbB-3/genetics ; Sequence Analysis, RNA ; Signal Transduction/genetics ; Thrombospondins/*genetics ; Transcription Factor 7-Like 2 Protein/genetics ; Tumor Suppressor Proteins/genetics ; Wnt Proteins/metabolism
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2016-05-20
    Description: The use of large-scale genomic and drug response screening of cancer cell lines depends crucially on the reproducibility of results. Here we consider two previously published screens, plus a later critique of these studies. Using independent data, we show that consistency is achievable, and provide a systematic description of the best laboratory and analysis practices for future studies.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Haverty, Peter M -- Lin, Eva -- Tan, Jenille -- Yu, Yihong -- Lam, Billy -- Lianoglou, Steve -- Neve, Richard M -- Martin, Scott -- Settleman, Jeff -- Yauch, Robert L -- Bourgon, Richard -- England -- Nature. 2016 May 18;533(7603):333-7. doi: 10.1038/nature17987.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Bioinformatics and Computational Biology, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, USA. ; Department of Discovery Oncology, Genentech Inc., 1 DNA Way, South San Francisco, California 94080, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27193678" target="_blank"〉PubMed〈/a〉
    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: 2015-04-17
    Description: Cell line misidentification, contamination and poor annotation affect scientific reproducibility. Here we outline simple measures to detect or avoid cross-contamination, present a framework for cell line annotation linked to short tandem repeat and single nucleotide polymorphism profiles, and provide a catalogue of synonymous cell lines. This resource will enable our community to eradicate the use of misidentified lines and generate credible cell-based data.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yu, Mamie -- Selvaraj, Suresh K -- Liang-Chu, May M Y -- Aghajani, Sahar -- Busse, Matthew -- Yuan, Jean -- Lee, Genee -- Peale, Franklin -- Klijn, Christiaan -- Bourgon, Richard -- Kaminker, Joshua S -- Neve, Richard M -- England -- Nature. 2015 Apr 16;520(7547):307-11. doi: 10.1038/nature14397.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Discovery Oncology, Genentech Inc., South San Francisco, California 94080, USA. ; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA. ; Department of Pathology, 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/25877200" target="_blank"〉PubMed〈/a〉
    Keywords: Cell Line/*classification/*metabolism ; Cell Separation ; *Data Curation ; Genotype ; *Guidelines as Topic ; Microsatellite Repeats/genetics ; Polymorphism, Single Nucleotide/genetics ; Quality Control ; Reproducibility of Results ; Species Specificity ; Terminology as Topic
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2010-05-11
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 8
    Publication Date: 2010-11-08
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 9
    Publication Date: 2015-05-06
    Description: TNF superfamily death ligands are expressed on the surface of immune cells and can trigger apoptosis in susceptible cancer cells by engaging cognate death receptors. A recombinant soluble protein comprising the ectodomain of Apo2 ligand/TNF-related apoptosis-inducing ligand (Apo2L/TRAIL) has shown remarkable preclinical anticancer activity but lacked broad efficacy in patients,...
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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