Evidence map›Paper›PMID 25000210›Full record

ArticleACS synthetic biology2014

Cellular signaling circuits interfaced with synthetic, post-translational, negating Boolean logic devices.

Shiva Razavi, Steven Su, Takanari Inoue

Abstract read
In one paragraph

Article in ACS synthetic biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  3. Review
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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

3 authors.

Shiva RazaviDepartment of Biomedical Engineering, §Department of Cell Biology, and ⊥Center for Cell Dynamics, Johns Hopkins University School of Medicine , Baltimore, Maryland 21205, United States.
Steven Su
Takanari Inoue

Funding

Feedback and Crosstalk in Eukaryotic Chemotaxis- Administrative SupplementR01GM092930 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI INOUE, TAKANARI · 2010 to 2015
$1.6M
Training Program in Translational Research in ImagingT32EB010021 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI MCVEIGH, ELLIOT R · 2010 to 2014
$1.6M
NIBIB NIH HHS T32 EB010021NIGMS NIH HHS GM092930NIGMS NIH HHS R01 GM092930
6 · The paper itself

Abstract

A negating functionality is fundamental to information processing of logic circuits within cells and computers. Aiming to adapt unutilized electronic concepts to the interrogation of signaling circuits in cells, we first took a bottom-up strategy whereby we created protein-based devices that perform negating Boolean logic operations such as NOT, NOR, NAND, and N-IMPLY. These devices function in living cells within a minute by precisely commanding the localization of an activator molecule among three subcellular spaces. We networked these synthetic gates to an endogenous signaling circuit and devised a physiological output. In search of logic functions in signal transduction, we next took a top-down approach and computationally screened 108 signaling pathways to identify commonalities and differences between these biological pathways and electronic circuits. This combination of synthetic and systems approaches will guide us in developing foundations for deconstruction of intricate cell signaling, as well as construction of biomolecular computers.

Indexed as

AlgorithmsModels, TheoreticalAnimalsAnti-Bacterial AgentsChlorocebus aethiopsCOS CellsLuminescent ProteinsMicroscopy, ConfocalMitochondriaProtein MultimerizationProtein Processing, Post-TranslationalRed Fluorescent ProteinSignal TransductionSirolimusTacrolimus Binding ProteinsTransfectionAnti-Bacterial AgentsLuminescent ProteinsRed Fluorescent ProteinSirolimusTacrolimus Binding Proteinschemically induced dimerizationmembrane rufflingnegationRacsignaling pathwaysynthetic Boolean logic

Identifiers

PMID25000210
PMCPMC4169742

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.