From immunogenetics to immunomics: functional prospecting of genes and transcripts.

摘要: Human and mouse genome transcriptome projects have expanded the field of 'immunogenetics' beyond traditional study genetics evolution MHC, TCR Ig loci into new interdisciplinary area 'immunomics'. Immunomics is molecular functions associated with all immune-related coding non-coding mRNA transcripts. To unravel function, regulation diversity immunome requires that we identify correctly categorize The importance intercalated genes, antisense transcripts RNAs their potential role in immune development function are only just starting to be appreciated. better understand regulation, (e.g. Functional Annotation Mouse, FANTOM), focus on sequencing full-length from multiple tissue sources, ideally should include specific cells T cell, B cells, macrophages, dendritic cells) at various states development, activated unactivated different disease contexts. Progress deciphering regulatory networks will require cooperative efforts immunologists, immunogeneticists, biologists bioinformaticians. Although primary sequence analysis remains useful for annotation it less identifying novel known a context (protein interaction network or pathway). most efficient approach mine information vast priori knowledge contained biological databases scientific literature, use combination computational expert-driven discovery strategies. This paper illustrate challenges posed attempts functionally infer transcriptional genes text sequence-based data sources.