Evidence map›Paper›PMID 23950497›Full record

ArticleScience (New York, N.Y.)2013

Dynamically reshaping signaling networks to program cell fate via genetic controllers.

Kate E Galloway, Elisa Franco, Christina D Smolke

Open access · greenAbstract read
In one paragraph

Article in Science (New York, N.Y.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

44 citing papers in PubMed, 77 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Kate E GallowayDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Elisa Franco
Christina D Smolke
Stanford University · US

Funding

Frameworks for programming ligand-responsive RNA regulatory systemsR01GM086663 · NIGMS · STANFORD UNIVERSITY · PI ENDY, DREW · 2009 to 2024
$3.7M
NIGMS NIH HHS R01 GM086663
6 · The paper itself

Abstract

Engineering of cell fate through synthetic gene circuits requires methods to precisely implement control around native decision-making pathways and offers the potential to direct cell processes. We demonstrate a class of genetic control systems, molecular network diverters, that interface with a native signaling pathway to route cells to divergent fates in response to environmental signals without modification of native genetic material. A method for identifying control points within natural networks is described that enables the construction of synthetic control systems that activate or attenuate native pathways to direct cell fate. We integrate opposing genetic programs by developing network architectures for reduced antagonism and demonstrate rational tuning of performance. Extension of these control strategies to mammalian systems should facilitate the engineering of complex cellular signaling systems.

Indexed as

Gene Expression RegulationGenes, SyntheticCell EngineeringGene Regulatory NetworksGenes, ReporterGreen Fluorescent ProteinsMAP Kinase Signaling SystemMembrane ProteinsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSignal TransductionFUS1 protein, S cerevisiaeGreen Fluorescent ProteinsMembrane ProteinsSaccharomyces cerevisiae Proteins

Identifiers

PMID23950497
PMCPMC4069606
OpenAlexW2021540900

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.