Evidence map›Paper›PMID 23070776›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2013

Flow cytometry-based cell type-specific assessment of target regulation by pulmonary siRNA delivery.

Olivia M Merkel, Leigh M Marsh, Holger Garn, Thomas Kissel

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Inhibition of SARS-CoV-2 replication in the lung with siRNA/VIPER polyplexes.Journal of controlled release : official journal of the Controlled Release Society · 2022
    Article
  3. Review
  4. Article
  5. Targeted delivery of siRNA to activated T cells via transferrin-polyethylenimine (Tf-PEI) as a potential therapy of asthma.Journal of controlled release : official journal of the Controlled Release Society · 2016
    Article
  6. Highly compacted biodegradable DNA nanoparticles capable of overcoming the mucus barrier for inhaled lung gene therapy.Proceedings of the National Academy of Sciences of the United States of America · 2015
    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

4 authors at 2 institutions in 3 countries.

Olivia M MerkelDepartment of Pharmaceutical Sciences, Wayne State University, Detroit, MI, USA. Olivia.Merkel@staff.uni-marburg.de
Leigh M Marsh
Holger Garn
Thomas Kissel
Philipps University of Marburg · DEWayne State University · US

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI PAUL M STEMMER · 1985 to 2026
$68.4M
NCI NIH HHS P30 CA022453
6 · The paper itself

Abstract

Pulmonary siRNA delivery has attracted strong interest and has been reported to successfully mediate target gene knockdown in a number of disease models. However, the nature of the epithelial cells that eventually take up siRNA and the question if other lung cell types may also be transfected have so far been neglected. Therefore, we describe here a flow cytometry-based method using transgenic enhanced green fluorescence protein-expressing mice (EGFP mice) for the differentiation of transfected lung cell populations based on their antigen expression.

Indexed as

AnimalsBase SequenceBronchoalveolar LavageFemaleFlow CytometryGene Knockdown TechniquesGreen Fluorescent ProteinsHumansLungMaleMiceRNA, Small InterferingSpectrometry, FluorescenceTransfectionenhanced green fluorescent proteinGreen Fluorescent ProteinsRNA, Small Interfering

Identifiers

PMID23070776
PMCPMC3841064
OpenAlexW2179392209

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.