Evidence map›Paper›PMID 25806059›Full record

ArticleNeural regeneration research2012

Ultrasound microbubbles combined with liposome-mediated pNogo-R shRNA delivery into neural stem cells.

Weixia Ye, Xueping Huang, Yangyang Sun, Hao Liu, Jin Jiang, Youde Cao

Abstract read
In one paragraph

Article in Neural regeneration research, 2012. 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
–field-weighted citation impact, top 98% 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, 0 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

6 authors at 1 institution in 1 country.

Weixia YeDepartment of Pathology, Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, China.
Xueping HuangDepartment of Orthopaedics, Luzhou People's Hospital, Luzhou 646000, Sichuan Province, China.
Yangyang SunDepartment of Pathology, Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, China.
Hao LiuDepartment of Pathology, Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, China.
Jin JiangDepartment of Pathology, Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, China.
Youde CaoDepartment of Pathology, Molecular Medicine and Cancer Research Center, Chongqing Medical University, Chongqing 400016, China.
Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study, ultrasound-mediated microbubble destruction (UMMD) alone and combined with liposome technology was used as a novel nonviral technique to transfect a Nogo receptor (Nogo-R) shRNA plasmid (pNogo-R shRNA) into neural stem cells (NSCs). Using green fluorescent protein as a reporter gene, transfection efficiency of NSCs was significantly higher in the group transfected with UMMD combined with liposomes compared with that of the group transfected with UMMD or liposomes alone, and did not affect cell vitality. In addition, Nogo-R mRNA and protein expression was dramatically decreased in the UMMD combined with liposome-mediated group compared with that of other groups after 24 hours of transfection. The UMMD technique combined with liposomes is a noninvasive gene transfer method, which showed minimal effects on cell viability and effectively increased transfer of Nogo-R shRNA into NSCs.

Indexed as

gene transfectionliposomeneural regenerationneural stem cellNogo receptorultrasound microbubble

Identifiers

PMID25806059
PMCPMC4354117
OpenAlexW622272164

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.