T-psi-C: User friendly database of tRNA sequences and structures
Authors:
- Marcin Piotr Sajek,
- Tomasz Woźniak,
- Mathias Sprinzl,
- Jadwiga Jaruzelska,
- Jan Barciszewski
Abstract
tRNAs have been widely studied for their role as genetic code decoders in the ribosome during translation, but have recently received new attention due to the discovery of novel roles beyond decoding, often in connection with human diseases. Yet, existing tRNA databases have not been updated for more than a decade, so they do not contain this new functional information and have not kept pace with the rate of discovery in this field. Therefore, a regularly updated database that contains information about newly discovered characteristics of tRNA molecules and can be regularly updated is strongly needed. Here, we report the creation of the T-psi-C database (http://tpsic.igcz.poznan.pl), an up-to-date collection of tRNA sequences that contains data obtained from high-throughput tRNA sequencing, e.g. all isoacceptors and isodecoders for human HEK293 cells. This database also contains 3D tRNA structures obtained from Protein Data Bank and generated using homology modeling. The T-psi-C database can be continuously updated by any member of the scientific community, and contains its own application programming interface (API), which allows users to retrieve or upload data in JSON format. Altogether, T-psi-C is user-friendly, easy to develop and an up-to-date source of knowledge about tRNAs. © 2019 The Author(s). Published by Oxford University Press on behalf of Nucleic Acids Research.
- Record ID
- UAM85a2bdadb10a4ea99612bdf7708eaab5
- Author
- Journal series
- Nucleic Acids Research, ISSN 0305-1048, e-ISSN 1362-4962
- Issue year
- 2020
- Vol
- 48
- No
- D1
- Pages
- 256-260
- Publication size in sheets
- 0.50
- Keywords in English
- transfer RNA; transfer RNA, Article; data analysis; gene expression; high throughput sequencing; human; priority journal; RNA analysis; RNA sequence; RNA structure; sequence database; sequence homology; chemistry; computer interface; conformation; HEK293 cell line; nucleic acid database; sequence analysis, Databases, Nucleic Acid; HEK293 Cells; High-Throughput Nucleotide Sequencing; Humans; Nucleic Acid Conformation; RNA, Transfer; Sequence Analysis, RNA; User-Computer Interface
- ASJC Classification
- DOI
- DOI:10.1093/nar/gkz922 Opening in a new tab
- URL
- https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077668970&doi=10.1093%2fnar%2fgkz922&partnerID=40&md5=ca1dbdbc5a1343b9d5e56cf43c80cd61 Opening in a new tab
- Language
- (en) English
- Score (nominal)
- 200
- Score source
- journalList
- Score
- = 200.0, 10-02-2022, ArticleFromJournal
- Publication indicators
- = 6; : 2016 = 2.657; : 2019 (2 years) = 11.501 - 2019 (5 years) =11.797
- Uniform Resource Identifier
- https://researchportal.amu.edu.pl/info/article/UAM85a2bdadb10a4ea99612bdf7708eaab5/
- URN
urn:amu-prod:UAM85a2bdadb10a4ea99612bdf7708eaab5
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.