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1.
J Lipid Res ; 51(3): 468-71, 2010 Mar.
Article in English | MEDLINE | ID: mdl-19638644

ABSTRACT

The PAT family of proteins has been identified in eukaryotic species as diverse as vertebrates, insects, and amebazoa. These proteins share a highly conserved sequence organization and avidity for the surfaces of intracellular, neutral lipid storage droplets. The current nomenclature of the various members lacks consistency and precision, deriving more from historic context than from recognition of evolutionary relationship and shared function. In consultation with the Mouse Genomic Nomenclature Committee, the Human Genome Organization Genomic Nomenclature Committee, and conferees at the 2007 FASEB Conference on Lipid Droplets: Metabolic Consequences of the Storage of Neutral Lipids, we have established a unifying nomenclature for the gene and protein family members. Each gene member will incorporate the root term PERILIPIN (PLIN), the founding gene of the PAT family, with the different genes/proteins numbered sequentially.


Subject(s)
Intracellular Space/metabolism , Lipid Metabolism , Multigene Family , Phosphoproteins/classification , Terminology as Topic , Animals , Carrier Proteins , Evolution, Molecular , Humans , Perilipin-1 , Phosphoproteins/genetics
2.
BMC Bioinformatics ; 9 Suppl 5: S2, 2008 Apr 29.
Article in English | MEDLINE | ID: mdl-18460184

ABSTRACT

To address the challenges of information integration and retrieval, the computational genomics community increasingly has come to rely on the methodology of creating annotations of scientific literature using terms from controlled structured vocabularies such as the Gene Ontology (GO). Here we address the question of what such annotations signify and of how they are created by working biologists. Our goal is to promote a better understanding of how the results of experiments are captured in annotations, in the hope that this will lead both to better representations of biological reality through annotation and ontology development and to more informed use of GO resources by experimental scientists.


Subject(s)
Computational Biology/methods , Database Management Systems/standards , Genomics/organization & administration , User-Computer Interface , Animals , Artificial Intelligence , Computational Biology/standards , Database Management Systems/organization & administration , Databases, Genetic/trends , Genomics/standards , Humans , Models, Biological , Pattern Recognition, Automated/methods , Pattern Recognition, Automated/trends , Semantics , Systems Integration , Vocabulary, Controlled
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