Evidence map›Paper›PMID 34658669›Full record

ArticleScience and technology of advanced materials2021

Block catiomer with flexible cationic segment enhances complexation with siRNA and the delivery performance in vitro.

Wenqian Yang, Takuya Miyazaki, Pengwen Chen, Taehun Hong, Mitsuru Naito, Yuji Miyahara, Akira Matsumoto, Kazunori Kataoka, Kanjiro Miyata, Horacio Cabral

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science and technology of advanced materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

10 authors at 3 institutions in 1 country.

Wenqian YangDepartment of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
Takuya MiyazakiDepartment of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
Pengwen ChenDepartment of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
Taehun HongDepartment of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
Mitsuru NaitoCenter for Disease Biology and Integrative Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4237-871X
Yuji MiyaharaKanagawa Institute of Industrial Science and Technology, Kanagawa, Japan.
Akira MatsumotoKanagawa Institute of Industrial Science and Technology, Kanagawa, Japan.
Kazunori KataokaInnovation Center of NanoMedicine, Kawasaki Institute of Industrial Promotion, Kawasaki, Japan.
Kanjiro MiyataInnovation Center of NanoMedicine, Kawasaki Institute of Industrial Promotion, Kawasaki, Japan.
Horacio CabralDepartment of Bioengineering, Graduate School of Engineering, The University of Tokyo, Tokyo, Japan.
Innovation Center of NanoMedicine · JPTokyo Medical and Dental University · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA interference (RNAi) by small interfering RNAs (siRNAs) is a promising therapeutic approach. Because siRNA has limited intracellular access and is rapidly cleared

Indexed as

100 Materials101 Self-assembly / Self-organized materials30 Bio-inspired and biomedical materialsmolecular dynamic simulationpolyion complex vesiclespolymer flexibilitySmall interfering RNAsunit polyion complexes

Identifiers

PMID34658669
PMCPMC8519541
OpenAlexW3198868751

What OpenQuestion holds

Textmetadata
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.