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tRNA Activation02:26

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Aminoacyl-tRNA synthetases are present in both eukaryotes and bacteria. Though eukaryotes have 20 different aminoacyl-tRNA synthetases to couple to 20 amino acids, many bacteria do not have genes for all of these aminoacyl-tRNA synthetases. Despite this, they still use all 20 amino acids to synthesize their proteins. For instance, some bacteria do not have the gene encoding the enzyme that couples glutamine with its partner tRNA. In these organisms, one enzyme adds glutamic acid to all of the...
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T-psi-C: user friendly database of tRNA sequences and structures.

Marcin Piotr Sajek1, Tomasz Woźniak1, Mathias Sprinzl2

  • 1Institute of Human Genetics, Polish Academy of Sciences, Strzeszynska 32, 60-479, Poznan, Poland.

Nucleic Acids Research
|October 19, 2019
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Summary

Transfer RNAs (tRNAs) have new roles beyond decoding, linked to diseases. The T-psi-C database now offers an updated resource for tRNA sequences and structures, aiding research.

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Area of Science:

  • Molecular Biology
  • Genetics
  • Bioinformatics

Background:

  • Transfer RNAs (tRNAs) are crucial for translation but also have emerging roles in human diseases.
  • Existing tRNA databases are outdated, failing to capture recent discoveries in tRNA function and disease association.
  • There is a significant need for a continuously updated resource on tRNA characteristics.

Purpose of the Study:

  • To create a comprehensive and up-to-date database of tRNA sequences and structures.
  • To integrate novel functional information and disease-related data for tRNAs.
  • To provide a user-friendly platform for accessing and contributing tRNA knowledge.

Main Methods:

  • Collected tRNA sequences from high-throughput sequencing data, including all isoacceptors and isodecoders for human HEK293 cells.
  • Incorporated 3D tRNA structures from the Protein Data Bank and generated additional structures via homology modeling.
  • Developed the T-psi-C database with continuous update capabilities and an API for data exchange in JSON format.

Main Results:

  • The T-psi-C database is established as an up-to-date repository for tRNA information.
  • It includes diverse tRNA sequences and 3D structures, crucial for understanding tRNA biology.
  • The database is designed for community contribution and programmatic data access.

Conclusions:

  • The T-psi-C database addresses the need for a current resource on tRNA biology and function.
  • It supports research into novel tRNA roles, particularly in human diseases.
  • The database facilitates ongoing discovery and knowledge sharing within the scientific community.