Evidence map›Paper›PMID 23847401›Full record

ArticleBioinformation2013

Exploring GpG bases next to anticodon in tRNA subsets.

Thangavelu Srinivasan, Kubendiran Kumaran, Rajendran Selvakumar, Devadasan Velmurugan, Dorairaj Sudarsanam

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Thangavelu SrinivasanDST-FIST Bioinformatics & Principal Investigator, School of Genomics, Department of Advanced Zoology and Biotechnology, Loyola College, Chennai - 600 034, Tamil Nadu, India.
Kubendiran Kumaran
Rajendran Selvakumar
Devadasan Velmurugan
Dorairaj Sudarsanam
University of Madras · INM.S. Ramaiah Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transfer RNA (tRNA) structure, modifications and functions are evolutionary and established in bacteria, archaea and eukaryotes. Typically the tRNA modifications are indispensable for its stability and are required for decoding the mRNA into amino acids for protein synthesis. A conserved methylation has been located on the anticodon loop specifically at the 37(th) position and it is next to the anticodon bases. This modification is called as m1G37 and it is catalyzed by tRNA (m(1)G37) methyltransferase (TrmD). It is deciphered that G37 positions occur on few additional amino acids specific tRNA subsets in bacteria. Furthermore, Archaea and Eukaryotes have more number of tRNA subsets which contains G37 position next to the anticodon and the G residue are located at different positions such as G36, G37, G38, 39, and G40. In eight bacterial species, G (guanosine) residues are presents at the 37(th) and 38(th) position except three tRNA subsets having G residues at 36(th) and 39(th) positions. Therefore we propose that m1G37 modification may be feasible at 36(th), 37(th), 38(th), 39(th) and 40(th) positions next to the anticodon of tRNAs. Collectively, methylation at G residues close to the anticodon may be possible at different positions and without restriction of anticodon 3(rd) base A, C, U or G.

Indexed as

AnticodonCodonm1G modificationtRNAs

Identifiers

PMID23847401
PMCPMC3705617
OpenAlexW2073549928

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.