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

Ji-Hyun Lee1, Sungyong You2, Do Young Hyeon2

  • 1Medicinal Bioconvergence Research Center and Research Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul 151-742, Republic of Korea, School of Interdisciplinary Bioscience and Bioengineering, POSTECH, Pohang 790-784, Republic of Korea, Department of New Biology and Center for Plant Aging Research, Institute for Basic Science, DGIST, Daegu 711-873, Republic of Korea and Department of Molecular Medicine and Biopharmaceutical Sciences, Seoul National University, Seoul 151-742, Republic of Korea Medicinal Bioconvergence Research Center and Research Institute of Pharmaceutical Sciences, College of Pharmacy, Seoul National University, Seoul 151-742, Republic of Korea, School of Interdisciplinary Bioscience and Bioengineering, POSTECH, Pohang 790-784, Republic of Korea, Department of New Biology and Center for Plant Aging Research, Institute for Basic Science, DGIST, Daegu 711-873, Republic of Korea and Department of Molecular Medicine and Biopharmaceutical Sciences, Seoul National University, Seoul 151-742, Republic of Korea.

Insights

This study introduces the Integrated Database for ARSs (IDA), a new resource for exploring the roles of aminoacyl-tRNA synthetases (ARSs) and ARS-interacting multifunctional proteins (AIMPs) in cancer. IDA offers data and tools to investigate their disease associations.

Area of Science:

  • Molecular Biology
  • Genomics
  • Proteomics

Background:

  • Mammalian cells utilize aminoacyl-tRNA synthetases (ARSs) for protein synthesis.
  • ARSs and ARS-interacting multifunctional proteins (AIMPs) are increasingly implicated in disease pathogenesis.
  • Existing resources lack comprehensive data and tools for studying ARS/AIMP disease associations.

Purpose of the Study:

  • To develop a integrated database (IDA) for ARSs and AIMPs.
  • To provide data and analytical tools for exploring ARS/AIMP roles in cancer.
  • To facilitate the understanding of ARS-dependent disease mechanisms.

Main Methods:

  • Compilation of cancer genomic and proteomic data for ARS/AIMPs.
  • Integration of protein-protein interaction data for ARS/AIMPs.
  • Development of analytical tools for disease association exploration and network modeling.

Main Results:

  • IDA integrates diverse data including mRNA expression, somatic mutations, copy number variations, and phosphorylation.
  • The database includes data on ARS/AIMPs and their interacting proteins across various cancers.
  • IDA provides tools for identifying disease-associated interactors and reconstructing disease networks.

Conclusions:

  • IDA serves as a valuable resource for cancer research.
  • The database and tools enable comprehensive analysis of ARS/AIMP functions in cancer.
  • IDA supports the investigation of potential roles of ARS/AIMPs in cancer pathogenesis.

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