Evidence map›Paper›PMID 35275159›Full record

ArticleGenetics and molecular biology2022

Optimization of cationic polymer-mediated transfection for RNA interference.

Xiaojie Fan, Jingnan Yang, Guangyao Wu, Meiyi Wang, Xiaoxia Cheng, Chang Liu, Qian Liu, Yanan Wen, Shuangshuang Meng, Zhenxing Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genetics and molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 2 institutions in 1 country.

Xiaojie FanHuaihe Hospital of Henan University, Kaifeng, Henan, China.
Jingnan YangHuaihe Hospital of Henan University, Kaifeng, Henan, China.
Guangyao WuHuaihe Hospital of Henan University, Kaifeng, Henan, China.
Meiyi WangHenan University, School of Medicine, Kaifeng, Henan, China.
Xiaoxia ChengHenan University, School of Medicine, Kaifeng, Henan, China.
Chang LiuHenan University, School of Medicine, Kaifeng, Henan, China.
Qian LiuHenan University, School of Medicine, Kaifeng, Henan, China.
Yanan WenHuaihe Hospital of Henan University, Kaifeng, Henan, China.
Shuangshuang MengHuaihe Hospital of Henan University, Kaifeng, Henan, China.
Zhenxing WangHuaihe Hospital of Henan University, Kaifeng, Henan, China.
Xuhong LinHuaihe Hospital of Henan University, Kaifeng, Henan, China.
Lei AnHuaihe Hospital of Henan University, Kaifeng, Henan, China.ORCID http://orcid.org/0000-0003-1072-542X
Henan University Huaihe Hospital and Huaihe Clinical Institute · CNHenan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transfection efficiency was estimated to optimize the conditions for RNA interference (RNAi), including transfection time, validity, and nucleic acid concentration and type, using the EZ Trans Cell Reagent, a cationic polymer. An shRNA against GFP was designed and transfected into cells using the EZ transfection reagent. The shRNA significantly decreased the expression of GFP. In addition, pre-diluted transfection reagent at room temperature and small nucleic acids increased the transfection efficiency, which peaked at 24 h. Compared with circular nucleic acids, linear nucleic acids showed higher transfection efficiency and a higher genome integration rate. We optimized cationic polymer-mediated RNAi conditions, and our data will be useful for future RNAi studies.

Identifiers

PMID35275159
PMCPMC8915406
OpenAlexW4225443057

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.