4.6 Article

Using Gene Ontology to describe the role of the neurexin-neuroligin-SHANK complex in human, mouse and rat and its relevance to autism

期刊

BMC BIOINFORMATICS
卷 16, 期 -, 页码 -

出版社

BMC
DOI: 10.1186/s12859-015-0622-0

关键词

Gene Ontology; Autistic spectrum disorder; Synaptogenesis; Annotation; Neurexin; Neuroligin; SHANK; DLG4; GO

资金

  1. British Heart Foundation (BHF) chair scholar
  2. BHF [RG/13/5/30112, SP/07/007/23671]
  3. Parkinson's UK grant [G-1307]
  4. National Institute for Health Research University College London Hospitals Biomedical Research Centre
  5. National Human Genome Research Institute (NHGRI) [5P41HG002273-09]
  6. British Heart Foundation [SP/07/007/23671, RG/13/5/30112] Funding Source: researchfish
  7. Parkinson's UK [G-1307] Funding Source: researchfish

向作者/读者索取更多资源

Background: People with an autistic spectrum disorder (ASD) display a variety of characteristic behavioral traits, including impaired social interaction, communication difficulties and repetitive behavior. This complex neurodevelopment disorder is known to be associated with a combination of genetic and environmental factors. Neurexins and neuroligins play a key role in synaptogenesis and neurexin-neuroligin adhesion is one of several processes that have been implicated in autism spectrum disorders. Results: In this report we describe the manual annotation of a selection of gene products known to be associated with autism and/or the neurexin-neuroligin-SHANK complex and demonstrate how a focused annotation approach leads to the creation of more descriptive Gene Ontology (GO) terms, as well as an increase in both the number of gene product annotations and their granularity, thus improving the data available in the GO database. Conclusions: The manual annotations we describe will impact on the functional analysis of a variety of future autism-relevant datasets. Comprehensive gene annotation is an essential aspect of genomic and proteomic studies, as the quality of gene annotations incorporated into statistical analysis tools affects the effective interpretation of data obtained through genome wide association studies, next generation sequencing, proteomic and transcriptomic datasets.

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