Evidence map›Paper›PMID 34634814›Full record

ArticleNucleic acids research2021

Transliteration of synthetic genetic enzymes.

Yajun Wang, Xiaolin Liu, Mouhamad Shehabat, Nicholas Chim, John C Chaput

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 16 citations in OpenAlex.

  1. Functional Xeno Nucleic Acids for Biomedical Application.Chemical research in Chinese universities · 2022
    Review
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 2 countries.

Yajun WangCollege of Pharmaceutical Sciences, Soochow University, Suzhou 215123, China.
Xiaolin LiuCollege of Pharmaceutical Sciences, Soochow University, Suzhou 215123, China.
Mouhamad ShehabatDepartments of Pharmaceutical Sciences, University of California, Irvine, CA 92697, USA.
Nicholas ChimDepartments of Pharmaceutical Sciences, University of California, Irvine, CA 92697, USA.ORCID 0000-0003-2274-5305
John C ChaputDepartments of Pharmaceutical Sciences, University of California, Irvine, CA 92697, USA.ORCID 0000-0003-1393-135X
University of California, Irvine · USSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional nucleic acids lose activity when their sequence is prepared in the backbone architecture of a different genetic polymer. The only known exception to this rule is a subset of aptamers whose binding mechanism involves G-quadruplex formation. We refer to such examples as transliteration-a synthetic biology concept describing cases in which the phenotype of a nucleic acid molecule is retained when the genotype is written in a different genetic language. Here, we extend the concept of transliteration to include nucleic acid enzymes (XNAzymes) that mediate site-specific cleavage of an RNA substrate. We show that an in vitro selected 2'-fluoroarabino nucleic acid (FANA) enzyme retains catalytic activity when its sequence is prepared as α-l-threofuranosyl nucleic acid (TNA), and vice versa, a TNA enzyme that remains functional when its sequence is prepared as FANA. Structure probing with DMS supports the hypothesis that FANA and TNA enzymes having the same primary sequence can adopt similarly folded tertiary structures. These findings provide new insight into the sequence-structure-function paradigm governing biopolymer folding.

Indexed as

EnzymesNucleic AcidsSynthetic BiologyEnzymesNucleic Acids

Identifiers

PMID34634814
PMCPMC8599711
OpenAlexW3207299290

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.