Evidence map›Paper›PMID 32366887›Full record

ArticleGene therapy2020

Natural polyphenol assisted delivery of single-strand oligonucleotides by cationic polymers.

Wanwan Shen, Ruojun Wang, Qianqian Fan, Yiwen Li, Yiyun Cheng

Open access · hybridAbstract read
In one paragraph

Article in Gene therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 40 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

5 authors at 3 institutions in 1 country.

Wanwan ShenShanghai Key Laboratory of Regulatory Biology, East China Normal University, Shanghai, 200241, China.
Ruojun WangShanghai Key Laboratory of Regulatory Biology, East China Normal University, Shanghai, 200241, China.
Qianqian FanShanghai Key Laboratory of Regulatory Biology, East China Normal University, Shanghai, 200241, China.
Yiwen LiCollege of Polymer Science and Engineering, State Key Laboratory of Polymer Materials Engineering, Sichuan University, Chengdu, 610065, China. ywli@scu.edu.cn.
Yiyun ChengShanghai Key Laboratory of Regulatory Biology, East China Normal University, Shanghai, 200241, China. yycheng@mail.ustc.edu.cn.
East China Normal University · CNSichuan University · CNSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-strand oligonucleotides provide promising potential as new therapeutics towards various diseases. However, the efficient delivery of oligonucleotide therapeutics is still challenging due to their susceptibility to nuclease degradation and the lack of effective carriers for condensation. In this study, we reported the use of natural polyphenol to facilitate the condensation of single-strand oligonucleotides by cationic polymers. Green tea catechin complexed with single-strand oligonucleotides to form anionic nanoparticles, which were further coated by low molecular weight cationic polymers to increase their cell internalization. The resulting core-shell structured nanoparticles, so-called green nanoparticles (GNPs), showed improved cargo stability, and achieved high efficiency in the delivery of several types of single-strand oligonucleotides including antisense oligonucleotides, anti-miRNA, and DNAzyme. This study provides a facile strategy for the efficient delivery of single-strand oligonucleotides.

Indexed as

OligonucleotidesPolymersCationsOligonucleotides, AntisensePolyphenolsCationsOligonucleotidesOligonucleotides, AntisensePolymersPolyphenols

Identifiers

PMID32366887
PMCPMC7445782
OpenAlexW3020846278

What OpenQuestion holds

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LicenceCC BY
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.