Evidence map›Paper›PMID 25852425›Full record

ArticleNanoscale research letters2015

Protamine nanoparticles for improving shRNA-mediated anti-cancer effects.

Ming Liu, Bo Feng, Yijie Shi, Chang Su, Huijuan Song, Wei Cheng, Liang Zhao

Open access · goldAbstract read
In one paragraph

Article in Nanoscale research letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  5. Article
  6. Immunotherapy of Dual-Function Vector with Both Immunostimulatory and B-Cell Lymphoma 2 (Bcl-2)-Silencing Effects on Gastric Carcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2017
    Article
  7. Article
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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

7 authors at 1 institution in 1 country.

Ming LiuSchool of Pharmacy, Liaoning Medical University, Jinzhou, 121000 People's Republic of China.
Bo FengSchool of Pharmacy, Liaoning Medical University, Jinzhou, 121000 People's Republic of China.
Yijie ShiSchool of Pharmacy, Liaoning Medical University, Jinzhou, 121000 People's Republic of China.
Chang SuSchool of Veterinary Medicine, Liaoning Medical University, Jinzhou, 121000 People's Republic of China.
Huijuan SongCentral Laboratory of Liaoning Medical University, Jinzhou, 121000 People's Republic of China.
Wei ChengSchool of Pharmacy, Liaoning Medical University, Jinzhou, 121000 People's Republic of China.
Liang ZhaoSchool of Pharmacy, Liaoning Medical University, Jinzhou, 121000 People's Republic of China.
Jinzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protamine nanoparticles were designed by encapsulating small hairpin RNA (shRNA)-expressing plasmid DNA targeting the Bcl-2 gene (shBcl-2) to silence apoptosis-related Bcl-2 protein for improving the transfection efficiency and cytotoxicity in cancer therapy. Our findings demonstrated that the obtained protamine nanoparticles possessed excellent characterizations of small particle size, homogenous distribution, positive charge, and high encapsulation efficiency of gene. shBcl-2 loaded in nanoparticles (NPs) was protected effectively from the degradation of DNase I and serum. More importantly, it significantly improved the efficiency of transfection of shRNA in vitro in A549 cells and increased its cytotoxicity and induced more cell apoptosis by silencing Bcl-2.

Indexed as

Bcl-2CytotoxicityNanoparticlesProtamineTransfection

Identifiers

PMID25852425
PMCPMC4385308
OpenAlexW2118262954

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.