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1.
Bull Cancer ; 97(2): 181-9, 2010 Feb.
Article in French | MEDLINE | ID: mdl-20051347

ABSTRACT

Biobanks in general, and specifically tumour banks, are considered as essential tools for the development of translational and clinical research in biology and oncology. Biobank tasks include the collection and preservation of biological samples, and their association with information that will be essential for further scientific use ("annotations" that allow for the "qualification" of biological samples in biological resource). A collection is made of a series of biological resource that are representative of a homogeneous group of individuals or patients that are defined on the basis of clinical or biological information. Collections are used by scientists that are aware of their existence. In the absence of a published catalogue, this awareness is most often limited to research teams that are geographically close, or to investigators who already established collaborative projects with medical teams within the hospital that operates the tumour bank. Publications of catalogues, especially digitalized and online catalogues, should foster the development of high-level, large-scale and multicentric scientific projects. In addition, tumour banks will formalize rules that allow publication of collections, and upstream, rules that are used to qualify biological samples in biological resource: this should translate in an improved overall quality of samples and annotations. Tumour bank catalogues remain relatively few; however, some recent achievements established the "proof of concept" and already raise questions regarding rules for publication. It will be important to demonstrate that these high expectations translate into measurable benefits.


Subject(s)
Neoplasms , Tissue Banks/statistics & numerical data , Catalogs as Topic , Humans
2.
Nucleic Acids Res ; 38(Database issue): D371-8, 2010 Jan.
Article in English | MEDLINE | ID: mdl-20007148

ABSTRACT

Large collections of protein-encoding open reading frames (ORFs) established in a versatile recombination-based cloning system have been instrumental to study protein functions in high-throughput assays. Such 'ORFeome' resources have been developed for several organisms but in virology, plasmid collections covering a significant fraction of the virosphere are still needed. In this perspective, we present ViralORFeome 1.0 (http://www.viralorfeome.com), an open-access database and management system that provides an integrated set of bioinformatic tools to clone viral ORFs in the Gateway(R) system. ViralORFeome provides a convenient interface to navigate through virus genome sequences, to design ORF-specific cloning primers, to validate the sequence of generated constructs and to browse established collections of virus ORFs. Most importantly, ViralORFeome has been designed to manage all possible variants or mutants of a given ORF so that the cloning procedure can be applied to any emerging virus strain. A subset of plasmid constructs generated with ViralORFeome platform has been tested with success for heterologous protein expression in different expression systems at proteome scale. ViralORFeome should provide our community with a framework to establish a large collection of virus ORF clones, an instrumental resource to determine functions, activities and binding partners of viral proteins.


Subject(s)
Computational Biology/methods , Databases, Genetic , Databases, Nucleic Acid , Databases, Protein , Genes, Viral , Open Reading Frames , Cloning, Molecular , Computational Biology/trends , Genetic Techniques , Genome, Viral , Information Storage and Retrieval/methods , Internet , Protein Structure, Tertiary , Software , User-Computer Interface
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