We report seven new members of the superfamily of human G protein-coupled receptors (GPCRs) found by searches in the human genome databases, termed GPR100, GPR119, GPR120, GPR135, GPR136, GPR141, and GPR142. We also report 16 orthologues of these receptors in mouse, rat, fugu (pu¡er¢sh) and zebra¢sh. Phylogenetic analysis shows that these are additional members of the family of rhodopsintype GPCRs. GPR100 shows similarity with the orphan receptor SALPR. Remarkably, the other receptors do not have any close relative among other known human rhodopsin-like GPCRs. Most of these orphan receptors are highly conserved through several vertebrate species and are present in single copies. Analysis of expressed sequence tag (EST) sequences indicated individual expression patterns, such as for GPR135, which was found in a wide variety of tissues including eye, brain, cervix, stomach and testis. Several ESTs for GPR141 were found in marrow and cancer cells, while the other receptors seem to have more restricted expression patterns.
The four adenosine receptors (ARs), A, A, A, and A, constitute a subfamily of G protein-coupled receptors (GPCRs) with exceptional foundations for structure-based ligand design. The vast amount of mutagenesis data, accumulated in the literature since the 1990s, has been recently supplemented with structural information, currently consisting of several inactive and active structures of the A and inactive conformations of the A ARs. We provide the first integrated view of the pharmacological, biochemical, and structural data available for this receptor family, by mapping onto the relevant crystal structures all site-directed mutagenesis data, curated and deposited at the GPCR database (available through http://www.gpcrdb.org). This analysis provides novel insights into ligand binding, allosteric modulation, and signaling of the AR family.
Protein affinity reagents (PARs), most commonly antibodies, are essential reagents for protein characterization in basic research, biotechnology, and diagnostics as well as the fastest growing class of therapeutics. Large numbers of PARs are available commercially; however, their quality is often uncertain. In addition, currently available PARs cover only a fraction of the human proteome, and their cost is prohibitive for proteome scale applications. This situation has triggered several initiatives involving large scale generation and validation of antibodies, for example the Swedish Human Protein Atlas and the German Antibody Factory. Antibodies targeting specific subproteomes are being pursued by members of Human Proteome Organisation (plasma and liver proteome projects) and the United States National Cancer Institute (cancer-associated antigens). ProteomeBinders, a European consortium, aims to set up a resource of consistently quality-controlled protein-binding reagents for the whole human proteome. An ultimate PAR database resource would allow consumers to visit one online warehouse and find all available affinity reagents from different providers together with documentation that facilitates easy comparison of their cost and quality. However, in contrast to, for example, nucleotide databases among which data are synchronized between the major data providers, current PAR producers, quality control centers, and commercial companies all use incompatible formats, hindering data exchange. Here we propose Proteomics Standards Initiative (PSI)-PAR as a global community standard format for the representation and exchange of protein affinity reagent data. The PSI-PAR format is maintained by the Human Proteome Organisation PSI and was developed within the context of ProteomeBinders by building on a mature proteomics standard format, PSI-molecular interaction, which is a widely accepted and established community standard for molecular interaction data. Further information and documentation are available on the PSI-PAR web site. Molecular & Cellular Proteomics 9:1-10, 2010.Protein affinity reagents (PARs), 1 most commonly antibodies, are essential and ubiquitous reagents in academic and From the
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