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Comprehensive data resources and analytical tools for pathological association of aminoacyl tRNA synthetases with cancer
- Comprehensive data resources and analytical tools for pathological association of aminoacyl tRNA synthetases with cancer
- 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
- Database: the Journal of Biological Databases and Curation
- Article Type
- 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.
- Oxford University Press
- Related Researcher
Hwang, Dae Hee
Systems Biology and Medicine Lab
Multilayered spatiotemporal networks; Regulatory motifs or pathways; Metabolite-protein networks; Network stochasticity; Proteomics and informatics
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