PubMed · 15122299
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John Quackenbush. 2004. Data standards for 'omic' science.. https://doi.org/10.1038/nbt0504-613
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Members of the International Nucleotide Sequence Database Collaboration (INSDC; https://www.insdc.org/) collect, exchange, and preserve comprehensive open nucleotide sequence information and provide tools for its access. The INSDC has stated its commitment to welcoming new members into the collaboration to be more representative of the global community of data and users. To reach this goal, a comprehensive definition of the INSDC data model and minimum requirements for data acceptance have been established. Here we describe the processes used to arrive upon these INSDC Specifications and lay out strategies for their continued upkeep to remain current and relevant. Database URL:  https://www.insdc.org/.
As pathways of communication between the nervous, endocrine, and immune systems are identified, the importance of the interplay of these systems for health and well-being is increasingly recognized. In this study, we created a comprehensive database of 1622 genes likely to be involved in synthetic, biochemical, and regulatory psycho-neuroendocrine-immune (PNI) pathways. Expression of 1058 of these genes was detected in the peripheral blood by querying both a peripheral blood-specific expressed sequence tag (EST) database and a peripheral blood database generated from microarray evaluation of 30,000 genes. Several neural and endocrine genes were expressed in the peripheral blood including hormone receptors, a hormone-responsive transcription factor, and neurotransmitter receptors. These findings document the expression of nervous and endocrine genes in the peripheral blood that have previously only been characterized in the respective system tissues, and indicate that the blood is a rich source of information that should help in deciphering the communication between the mind and the body.
A large-scale comparative genomic analysis of unisequence sets obtained from an Ustilago maydis EST collection was performed against publicly available EST and genomic sequence datasets from 21 species. We annotated 70% of the collection based on similarity to known sequences and recognized protein signatures. Distinct grouping of the ESTs, defined by the presence or absence of similar sequences in the species examined, allowed the identification of U. maydis sequences present only (1) in fungal species, (2) in plants but not animals, (3) in animals but not plants, or (4) in all three eukaryotic lineages assessed. We also identified 215 U. maydis genes that are found in the ascomycete but not in the basidiomycete genome sequences searched. Candidate genes were identified for further functional characterization. These include 167 basidiomycete-specific sequences, 58 fungal pathogen-specific sequences (including 37 basidiomycete pathogen-specific sequences), and 18 plant pathogen-specific sequences, as well as two sequences present only in other plant pathogen and plant species.