Evidence map›Paper›PMID 35313688›Full record

ReviewiScience2022

DNA-based enzymatic systems and their applications.

Yunfei Jiao, Yingxu Shang, Na Li, Baoquan Ding

Open access · goldAbstract readReview
In one paragraph

Review in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 24 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Yunfei JiaoCAS Key Laboratory of Nanosystem and Hierarchical Fabrication, CAS Center for Excellence in Nanoscience, National Center for NanoScience and Technology, Beijing 100190, China.
Yingxu ShangCAS Key Laboratory of Nanosystem and Hierarchical Fabrication, CAS Center for Excellence in Nanoscience, National Center for NanoScience and Technology, Beijing 100190, China.
Na LiCAS Key Laboratory of Nanosystem and Hierarchical Fabrication, CAS Center for Excellence in Nanoscience, National Center for NanoScience and Technology, Beijing 100190, China.
Baoquan DingCAS Key Laboratory of Nanosystem and Hierarchical Fabrication, CAS Center for Excellence in Nanoscience, National Center for NanoScience and Technology, Beijing 100190, China.
National Center for Nanoscience and Technology · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA strands with unique secondary structures can catalyze various chemical reactions and mimic natural enzymes with the assistance of cofactors, which have attracted much research attention. At the same time, the emerging DNA nanotechnology provides an efficient platform to organize functional components of the enzymatic systems and regulate their catalytic performances. In this review, we summarize the recent progress of DNA-based enzymatic systems. First, DNAzymes (Dzs) are introduced, and their versatile utilities are summarized. Then, G-quadruplex/hemin (G4/hemin) Dzs with unique oxidase/peroxidase-mimicking activities and representative examples where these Dzs served as biosensors are explicitly elaborated. Next, the DNA-based enzymatic cascade systems fabricated by the structural DNA nanotechnology are depicted. In addition, the applications of catalytic DNA nanostructures in biosensing and biomedicine are included. At last, the challenges and the perspectives of the DNA-based enzymatic systems for practical applications are also discussed.

Indexed as

BiocatalysisBiochemistryBiomoleculesEnzymologyNanotechnology

Identifiers

PMID35313688
PMCPMC8933709
OpenAlexW4221112145

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.