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Comprehensive data resources and analytical tools for pathological association of aminoacyl tRNA synthetases with cancer

Title
Comprehensive data resources and analytical tools for pathological association of aminoacyl tRNA synthetases with cancer
Authors
Lee, JH[Lee, Ji-Hyun]You, S[You, Sungyong]Hyeon, DY[Hyeon, Do Young]Kang, B[Kang, Byeongsoo]Kim, H[Kim, Hyerim]Park, KM[Park, Kyoung Mii]Han, B[Han, Byungwoo]Hwang, D[Hwang, Daehee]Kim, S[Kim, Sunghoon]
DGIST Authors
Hwang, D[Hwang, Daehee]
Issue Date
2015-03-29
Citation
Database: the Journal of Biological Databases and Curation
Type
Article
Article Type
Article
ISSN
1758-0463
Abstract
Mammalian cells have cytoplasmic and mitochondrial aminoacyl-tRNA synthetases (ARSs) that catalyze aminoacylation of tRNAs during protein synthesis. Despite their housekeeping functions in protein synthesis, recently, ARSs and ARS-interacting multifunctional proteins (AIMPs) have been shown to play important roles in disease pathogenesis through their interactions with disease-related molecules. However, there are lacks of data resources and analytical tools that can be used to examine disease associations of ARS/AIMPs. Here, we developed an Integrated Database for ARSs (IDA), a resource database including cancer genomic/proteomic and interaction data of ARS/ AIMPs. IDA includes mRNA expression, somatic mutation, copy number variation and phosphorylation data of ARS/AIMPs and their interacting proteins in various cancers. IDA further includes an array of analytical tools for exploration of disease association of ARS/AIMPs, identification of disease-associated ARS/AIMP interactors and reconstruction of ARS-dependent disease-perturbed network models. Therefore, IDA provides both comprehensive data resources and analytical tools for understanding potential roles of ARS/AIMPs in cancers. © The Author(s) 2015. Published by Oxford University Press.
URI
http://hdl.handle.net/20.500.11750/2604
DOI
10.1093/database/bav022
Publisher
Oxford University Press
Related Researcher
  • Author Hwang, Dae Hee Systems Biology and Medicine Lab
  • Research Interests Multilayered spatiotemporal networks; Regulatory motifs or pathways; Metabolite-protein networks; Network stochasticity; Proteomics and informatics
Files:
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Collection:
New BiologyETC1. Journal Articles


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