Evidence map›Paper›PMID 28592991›Full record

ArticleJournal of biological engineering2017

AAV-based dual-reporter circuit for monitoring cell signaling in living human cells.

Zhiwen Zhang, Zachary Stickney, Natalie Duong, Kevin Curley, Biao Lu

Open access · goldAbstract read
In one paragraph

Article in Journal of biological engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Zhiwen ZhangDepartment of Bioengineering, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053 USA.
Zachary StickneyDepartment of Bioengineering, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053 USA.
Natalie DuongDepartment of Bioengineering, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053 USA.
Kevin CurleyDepartment of Bioengineering, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053 USA.
Biao LuDepartment of Bioengineering, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053 USA.
Santa Clara University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-throughput methods based on molecular reporters have greatly advanced our knowledge of cell signaling in mammalian cells. However, their ability to monitor various types of cells is markedly limited by the inefficiency of reporter gene delivery. Recombinant adeno-associated virus (AAV) vectors are efficient tools widely used for delivering and expressing transgenes in diverse animal cells in vitro and in vivo. Here we present the design, construction and validation of a novel AAV-based dual-reporter circuit that can be used to monitor and quantify cell signaling in living human cells.

resultsWe first design and construct the AAV-based reporter system. We then validate the versatility and specificity of this system in monitoring and quantifying two important cell signaling pathways, inflammation (NFκB) and cell growth and differentiation (AP-1), in cultured HEK293 and MCF-7 cells. Our results demonstrate that the AAV reporter system is both specific and versatile, and it can be used in two common experimental protocols including transfection with plasmid DNA and transduction with packaged viruses. Importantly, this system is efficient, with a high signal-to-background noise ratio, and can be easily adapted to monitor other common signaling pathways.

conclusionsThe AAV-based system extends the dual-reporter technology to more cell types, allowing for cost-effective and high throughput applications.

Indexed as

AAVAP-1Firefly luciferaseGFPNF-κBTNFα

Identifiers

PMID28592991
PMCPMC5458475
OpenAlexW2612786145

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.