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Latest Paper:
Bioinformatics. 2012 May 9;:
22576176
Department of Computer Science and Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA. Gladstone Institutes, San Francisco, CA, USA. Agilent Technologies, Santa Clara, CA, USA.
SUMMARY: We present a Cytoscape plugin called Mosaic to support interactive network annotation, partitioning, layout and coloring based on Gene Ontology or other relevant annotations. AVAILABILITY: Mosaic is distributed for free under the Apache v2.0 open source license, and can be downloaded via the Cytoscape plugin manager. A detailed user manual is available on the Mosaic website (http://nrnb.org/tools/mosaic). CONTACT: apico@gladstone.ucsf.edu.
Thomas Kelder,
Martijn P van Iersel,
Kristina Hanspers,
Martina Kutmon,
Bruce R Conklin,
Chris T Evelo,
Alexander R Pico
Department of Bioinformatics-BiGCaT, Maastricht University, Maastricht, The Netherlands. thomaskelder@gmail.com
Here, we describe the development of WikiPathways (http://www.wikipathways.org), a public wiki for pathway curation, since it was first published in 2008. New features are discussed, as well as developments in the community of contributors. New features include a zoomable pathway viewer, support for pathway ontology annotations, the ability to mark pathways as private for a limited time and the availability of stable hyperlinks to pathways and the elements therein. WikiPathways content is freely available in a variety of formats such as the BioPAX standard, and the content is increasingly adopted by external databases and tools, including Wikipedia. A recent development is the use of WikiPathways as a staging ground for centrally curated databases such as Reactome. WikiPathways is seeing steady growth in the number of users, page views and edits for each pathway. To assess whether the community curation experiment can be considered successful, here we analyze the relation between use and contribution, which gives results in line with other wiki projects. The novel use of pathway pages as supplementary material to publications, as well as the addition of tailored content for research domains, is expected to stimulate growth further.
PLoS Biol. 2010 ;8 (8):
20824171
Department of Bioinformatics, BiGCaT, Maastricht University, Maastricht, The Netherlands. thomaskelder@gmail.com
This Essay discusses the role of pathways for exploratory data analysis in present-day biology.
Laboratory of Molecular Neurobiology and Biophysics, Rockefeller University, Howard Hughes Medical Institute, 1230 York Avenue, New York, NY 10065, USA.
High-conductance voltage- and Ca2+-activated K+(BK) channels encode negative feedback regulation of membrane voltage and Ca2+ signaling, playing a central role in numerous physiological processes. We determined the x-ray structure of the human BK Ca2+ gating apparatus at a resolution of 3.0 angstroms and deduced its tetrameric assembly by solving a 6 angstrom resolution structure of a Na+-activated homolog. Two tandem C-terminal regulator of K+ conductance (RCK) domains from each of four channel subunits form a 350-kilodalton gating ring at the intracellular membrane surface. A sequence of aspartic amino acids that is known as the Ca2+ bowl, and is located within the second of the tandem RCK domains, creates four Ca2+ binding sites on the outer perimeter of the gating ring at the "assembly interface" between RCK domains. Functionally important mutations cluster near the Ca2+ bowl, near the "flexible interface" between RCK domains, and on the surface of the gating ring that faces the voltage sensors. The structure suggests that the Ca2+ gating ring, in addition to regulating the pore directly, may also modulate the voltage sensor.
Nathan Salomonis,
Christopher R Schlieve,
Laura Pereira,
Christine Wahlquist,
Alexandre Colas,
Alexander C Zambon,
Karen Vranizan,
Matthew J Spindler,
Alexander R Pico,
Melissa S Cline,
Tyson A Clark,
Alan Williams,
John E Blume,
Eva Samal,
Mark Mercola,
Bradley J Merrill,
Bruce R Conklin
Gladstone Institute of Cardiovascular Disease, San Francisco, CA 94158, USA.
Two major goals of regenerative medicine are to reproducibly transform adult somatic cells into a pluripotent state and to control their differentiation into specific cell fates. Progress toward these goals would be greatly helped by obtaining a complete picture of the RNA isoforms produced by these cells due to alternative splicing (AS) and alternative promoter selection (APS). To investigate the roles of AS and APS, reciprocal exon-exon junctions were interrogated on a genome-wide scale in differentiating mouse embryonic stem (ES) cells with a prototype Affymetrix microarray. Using a recently released open-source software package named AltAnalyze, we identified 144 genes for 170 putative isoform variants, the majority (67%) of which were predicted to alter protein sequence and domain composition. Verified alternative exons were largely associated with pathways of Wnt signaling and cell-cycle control, and most were conserved between mouse and human. To examine the functional impact of AS, we characterized isoforms for two genes. As predicted by AltAnalyze, we found that alternative isoforms of the gene Serca2 were targeted by distinct microRNAs (miRNA-200b, miRNA-214), suggesting a critical role for AS in cardiac development. Analysis of the Wnt transcription factor Tcf3, using selective knockdown of an ES cell-enriched and characterized isoform, revealed several distinct targets for transcriptional repression (Stmn2, Ccnd2, Atf3, Klf4, Nodal, and Jun) as well as distinct differentiation outcomes in ES cells. The findings herein illustrate a critical role for AS in the specification of ES cells with differentiation, and highlight the utility of global functional analyses of AS.
BMC Bioinformatics. 2010 ;11 :5
20047655
Cit:11
Martijn P van Iersel,
Alexander R Pico,
Thomas Kelder,
Jianjiong Gao,
Isaac Ho,
Kristina Hanspers,
Bruce R Conklin,
Chris T Evelo
Department of Bioinformatics-BiGCaT, Maastricht University, Maastricht, the Netherlands. martijn.vaniersel@bigcat.unimaas.nl
BACKGROUND: Many complementary solutions are available for the identifier mapping problem. This creates an opportunity for bioinformatics tool developers. Tools can be made to flexibly support multiple mapping services or mapping services could be combined to get broader coverage. This approach requires an interface layer between tools and mapping services. RESULTS: Here we present BridgeDb, a software framework for gene, protein and metabolite identifier mapping. This framework provides a standardized interface layer through which bioinformatics tools can be connected to different identifier mapping services. This approach makes it easier for tool developers to support identifier mapping. Mapping services can be combined or merged to support multi-omics experiments or to integrate custom microarray annotations. BridgeDb provides its own ready-to-go mapping services, both in webservice and local database forms. However, the framework is intended for customization and adaptation to any identifier mapping service. BridgeDb has already been integrated into several bioinformatics applications. CONCLUSION: By uncoupling bioinformatics tools from mapping services, BridgeDb improves capability and flexibility of those tools. All described software is open source and available at http://www.bridgedb.org.
Nathan Salomonis,
Brandon Nelson,
Karen Vranizan,
Alexander R Pico,
Kristina Hanspers,
Allan Kuchinsky,
Linda Ta,
Mark Mercola,
Bruce R Conklin
Gladstone Institute of Cardiovascular Disease, San Francisco, California, United States of America.
The role of alternative splicing in self-renewal, pluripotency and tissue lineage specification of human embryonic stem cells (hESCs) is largely unknown. To better define these regulatory cues, we modified the H9 hESC line to allow selection of pluripotent hESCs by neomycin resistance and cardiac progenitors by puromycin resistance. Exon-level microarray expression data from undifferentiated hESCs and cardiac and neural precursors were used to identify splice isoforms with cardiac-restricted or common cardiac/neural differentiation expression patterns. Splice events for these groups corresponded to the pathways of cytoskeletal remodeling, RNA splicing, muscle specification, and cell cycle checkpoint control as well as genes with serine/threonine kinase and helicase activity. Using a new program named AltAnalyze (http://www.AltAnalyze.org), we identified novel changes in protein domain and microRNA binding site architecture that were predicted to affect protein function and expression. These included an enrichment of splice isoforms that oppose cell-cycle arrest in hESCs and that promote calcium signaling and cardiac development in cardiac precursors. By combining genome-wide predictions of alternative splicing with new functional annotations, our data suggest potential mechanisms that may influence lineage commitment and hESC maintenance at the level of specific splice isoforms and microRNA regulation.
PLoS One. 2009 ;4 (7):e6447
19649250
Cit:8
Thomas Kelder,
Alexander R Pico,
Kristina Hanspers,
Martijn P van Iersel,
Chris Evelo,
Bruce R Conklin
Department of Bioinformatics - BiGCaT, Maastricht University, Maastricht, The Netherlands.
WikiPathways is a platform for creating, updating, and sharing biological pathways [1]. Pathways can be edited and downloaded using the wiki-style website. Here we present a SOAP web service that provides programmatic access to WikiPathways that is complementary to the website. We describe the functionality that this web service offers and discuss several use cases in detail. Exposing WikiPathways through a web service opens up new ways of utilizing pathway information and assisting the community curation process.
Nat Genet. 2009 Jul 5;:
19578366
Cit:46
Margaret Wrensch,
Robert B Jenkins,
Jeffrey S Chang,
Ru-Fang Yeh,
Yuanyuan Xiao,
Paul A Decker,
Karla V Ballman,
Mitchel Berger,
Jan C Buckner,
Susan Chang,
Caterina Giannini,
Chandralekha Halder,
Thomas M Kollmeyer,
Matthew L Kosel,
Daniel H Lachance,
Lucie McCoy,
Brian P O'Neill,
Joe Patoka,
Alexander R Pico,
Michael Prados,
Charles Quesenberry,
Terri Rice,
Amanda L Rynearson,
Ivan Smirnov,
Tarik Tihan,
Joe Wiemels,
Ping Yang,
John K Wiencke
[1] Department of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.[2] Institute of Human Genetics, University of California, San Francisco, San Francisco, California, USA.[3] These authors contributed equally to this work.
The causes of glioblastoma and other gliomas remain obscure. To discover new candidate genes influencing glioma susceptibility, we conducted a principal component-adjusted genome-wide association study (GWAS) of 275,895 autosomal variants among 692 adult high-grade glioma cases (622 from the San Francisco Adult Glioma Study (AGS) and 70 from the Cancer Genome Atlas (TCGA)) and 3,992 controls (602 from AGS and 3,390 from Illumina iControlDB (iControls)). For replication, we analyzed the 13 SNPs with P < 10(-6) using independent data from 176 high-grade glioma cases and 174 controls from the Mayo Clinic. On 9p21, rs1412829 near CDKN2B had discovery P = 3.4 x 10(-8), replication P = 0.0038 and combined P = 1.85 x 10(-10). On 20q13.3, rs6010620 intronic to RTEL1 had discovery P = 1.5 x 10(-7), replication P = 0.00035 and combined P = 3.40 x 10(-9). For both SNPs, the direction of association was the same in discovery and replication phases.
Nucleic Acids Res. 2008 Nov 4;:
18984625
Cit:13
Alexander R Pico,
Ivan V Smirnov,
Jeffrey S Chang,
Ru-Fang Yeh,
Joseph L Wiemels,
John K Wiencke,
Tarik Tihan,
Bruce R Conklin,
Margaret Wrensch
Gladstone Institute of Cardiovascular Disease, 1650 Owens Street, San Francisco, CA 94158, Department of Neurological Surgery, Neuroepidemiology Division, Department of Epidemiology and Biostatistics, Department of Pathology, Department of Medicine and Cellular and Molecular Pharmacology, University of California, San Francisco, CA 94122, USA.
SNPLogic (http://www.snplogic.org) brings together single nucleotide polymorphism (SNP) information from numerous sources to provide a comprehensive SNP selection, annotation and prioritization system for design and analysis of genotyping projects. SNPLogic integrates information about the genetic context of SNPs (gene, chromosomal region, functional location, haplotypes tags and overlap with transcription factor binding sites, splicing sites, miRNAs and evolutionarily conserved regions), genotypic data (allele frequencies per population and validation method), coverage of commercial arrays (ParAllele, Affymetrix and Illumina), functional predictions (modeled on structure and sequence) and connections or established associations (biological pathways, gene ontology terms and OMIM disease terms). The SNPLogic web interface facilitates construction and annotation of user-defined SNP lists that can be saved, shared and exported. Thus, SNPLogic can be used to identify and prioritize candidate SNPs, assess custom and commercial arrays panels and annotate new SNP data with publicly available information. We have found integration of SNP annotation in the context of pathway information and functional prediction scores to be a powerful approach to the analysis and interpretation of SNP-disease association data.
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