Evidence map›Paper›PMID 26472444›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2016

Bioreducible Poly(Beta-Amino Ester)s for Intracellular Delivery of SiRNA.

Kristen L Kozielski, Jordan J Green

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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.

Kristen L KozielskiDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Jordan J GreenDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA. green@jhu.edu.

Funding

T32: Predoctoral and Postdoctoral Training Program in Nanotechnology for Cancer ResearchT32CA153952 · NCI · JOHNS HOPKINS UNIVERSITY · PI Denis Wirtz · 2015 to 2026
$3.5M
Gene Delivery Nanoparticles to Treat GlioblastomaR01EB016721 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI GREEN, JORDAN · 2013 to 2017
$1.9M
The Johns Hopkins Cancer Nanotechnology Training CenterR25CA153952 · NCI · JOHNS HOPKINS UNIVERSITY · PI MAO, HAI-QUAN, WIRTZ, DENIS · 2010 to 2014
$1.7M
T-32 NIH Postdoctoral Training Program in Nanotechnology for Cancer Medicine NTCMT32CA130840 · NCI · JOHNS HOPKINS UNIVERSITY · PI WIRTZ, DENIS · 2008 to 2012
$1.2M
Nanoparticles for selective and combinatorial delivery of siRNA to brain cancerF31CA196163 · NCI · JOHNS HOPKINS UNIVERSITY · PI KOZIELSKI, KRISTEN LYNN · 2015 to 2016
$68k
NCI NIH HHS F31 CA196163NCI NIH HHS F31CA196163NCI NIH HHS R25 CA153952NCI NIH HHS R25CA153952NCI NIH HHS T32 CA130840NCI NIH HHS T32 CA153952NIBIB NIH HHS 1R01EB016721NIBIB NIH HHS R01 EB016721
6 · The paper itself

Abstract

RNA interference (RNAi) is a powerful tool to target and knockdown gene expression in a sequence-specific manner. RNAi can be achieved by the intracellular introduction of SiRNA; however, intracellular SiRNA delivery remains a challenging obstacle. Herein we describe the use of bioreducible nanoparticles formed using poly(beta-amino ester)s (PBAEs) for safe and efficient SiRNA delivery. Methods for polymer synthesis, nanoparticle formation, and SiRNA delivery using these particles are described. A template protocol for nanoparticle screening is presented and can be used to quickly optimize SiRNA delivery for novel applications.

Indexed as

Cell Line, TumorGene Knockdown TechniquesHumansIntracellular SpaceOxidation-ReductionPolymersRNA, Small Interferingpoly(beta-amino ester)PolymersRNA, Small InterferingGene deliveryNanoparticlePolymerRNA interferenceSiRNATransfection

Identifiers

PMID26472444
PMCPMC4745093

What OpenQuestion holds

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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.