Evidence map›Paper›PMID 23320382›Full record

ArticleACS applied materials & interfaces2013

Triblock copolymer-encapsulated nanoparticles with outstanding colloidal stability for siRNA delivery.

Jian Qian, Xiaohu Gao

Abstract readEvaluation Study
In one paragraph

Article in ACS applied materials & interfaces, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  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

2 authors at 1 institution in 1 country.

Jian QianDepartment of Bioengineering, University of Washington, Seattle, Washington 98195, USA.
Xiaohu Gao
University of Washington · US

Funding

Targeted and traceable delivery of siRNA with nanoparticle-amphipolR01CA140295 · NCI · UNIVERSITY OF WASHINGTON · PI GAO, XIAOHU · 2009 to 2010
$647k
NCI NIH HHS R01 CA140295NCI NIH HHS R01CA140295
6 · The paper itself

Abstract

A new generation of siRNA nanocarrier with compact, uniform size and excellent colloidal stability has been developed by combining inorganic nanoparticles with rationally designed triblock copolymers. In contrast to conventional cationic polymers and nanoparticles that often condense oligonucleotides into polydisperse aggregates, our nanoparticle-polymer complexes remain single after loading with siRNA. More importantly, they are highly stable even in complete serum, which fills the gap between in vitro technology development using serum-free (or low percentage serum) cell culture media and downstream in vivo applications. Targeted delivery is achieved in GFP-expressing HeLa cells by functionalizing the siRNA delivery vehicle with an integrin-specific peptide ligand. The GFP positive cell population can be reduced from the original 86 to 60 and 25% for nontargeted and targeted nanoparticle-polymer complexes, respectively. At the nanocarrier concentration for siRNA delivery, virtually no cytotoxicity was detected. Further development and validation of this technology by introducing biodegradable and biocompatible core particles and testing them in lab animals could enable widespread uses of siRNA and potentially lead to clinical translation.

Indexed as

Drug CarriersDrug Delivery SystemsGreen Fluorescent ProteinsHeLa CellsHumansNanoparticlesParticle SizePolymersRNA, Small InterferingDrug CarriersGreen Fluorescent ProteinsPolymersRNA, Small Interfering

Identifiers

PMID23320382
PMCPMC3636168
OpenAlexW2019995517

What OpenQuestion holds

Textmetadata
LicenceTDM
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.