DINeR: Database for Insect Neuropeptide Research

Yeoh, J. G.C. , Pandit, A. A. , Zandawala, M., Nässel, D. R., Davies, S.-A. and Dow, J. (2017) DINeR: Database for Insect Neuropeptide Research. Insect Biochemistry and Molecular Biology, 86, pp. 9-19. (doi:10.1016/j.ibmb.2017.05.001) (PMID:28502574)

[img]
Preview
Text
141144.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

2MB

Abstract

Neuropeptides are responsible for regulating a variety of functions, including development, metabolism, water and ion homeostasis, and as neuromodulators in circuits of the central nervous system. Numerous neuropeptides have been identified and characterized. However, both discovery and functional characterization of neuropeptides across the massive Class Insecta has been sporadic. To leverage advances in post-genomic technologies for this rapidly growing field, insect neuroendocrinology requires a consolidated, comprehensive and standardised resource for managing neuropeptide information. The Database for Insect Neuropeptide Research (DINeR) is a web-based database-application used for search and retrieval of neuropeptide information of various insect species detailing their isoform sequences, physiological functionality and images of their receptor-binding sites, in an intuitive, accessible and user-friendly format. The curated data includes representatives of 50 well described neuropeptide families from over 400 different insect species. Approximately 4700 FASTA formatted, neuropeptide isoform amino acid sequences and over 200 records of physiological functionality have been recorded based on published literature. Also available are images of neuropeptide receptor locations. In addition, the data include comprehensive summaries for each neuropeptide family, including their function, location, known functionality, as well as cladograms, sequence alignments and logos covering most insect orders. Moreover, we have adopted a standardized nomenclature to address inconsistent classification of neuropeptides.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Pandit, Mr Aniruddha and Dow, Professor Julian and Davies, Professor Shireen and Yeoh, Dr Joseph
Authors: Yeoh, J. G.C., Pandit, A. A., Zandawala, M., Nässel, D. R., Davies, S.-A., and Dow, J.
College/School:College of Medical Veterinary and Life Sciences > Institute of Molecular Cell and Systems Biology
Journal Name:Insect Biochemistry and Molecular Biology
Publisher:Elsevier
ISSN:0965-1748
ISSN (Online):1879-0240
Published Online:11 May 2017
Copyright Holders:Copyright © 2017 The Authors
First Published:First published in Insect Biochemistry and Molecular Biology 86: 9-19
Publisher Policy:Reproduced under a Creative Commons License

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
664541nEUROSTRESSPEPShireen DaviesEuropean Commission (EC)634361RI MOLECULAR CELL & SYSTEMS BIOLOGY