Evidence map›Paper›PMID 20622866›Full record

ArticleNature nanotechnology2010

Rationally designed logic integration of regulatory signals in mammalian cells.

Madeleine Leisner, Leonidas Bleris, Jason Lohmueller, Zhen Xie, Yaakov Benenson

Open access · greenAbstract read
In one paragraph

Article in Nature nanotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
6.4field-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

51 citing papers in PubMed, 106 citations in OpenAlex.

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  19. Engineering Gene Circuits for Mammalian Cell-Based Applications.Cold Spring Harbor perspectives in biology · 2016
    Review
  20. RNA-based gene circuits for cell regulation.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2016
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Madeleine LeisnerFAS Centre for Systems Biology, Harvard University, 52 Oxford Street, Cambridge Massachussetts 02138 USA.
Leonidas Bleris
Jason Lohmueller
Zhen Xie
Yaakov Benenson
Harvard University · USCenter for Systems Biology · USThe University of Texas at Dallas · US

Funding

THEORETICAL ANALYSIS OF FUNCTIONAL MODULESP50GM068763 · NIGMS · HARVARD UNIVERSITY · PI BENENSON, YAAKOV · 2003 to 2012
$28.9M
NIGMS NIH HHS GM068763NIGMS NIH HHS P50 GM068763
6 · The paper itself

Abstract

Molecular-level information processing is essential for 'smart' in vivo nanosystems. Natural molecular computing, such as the regulation of messenger RNA (mRNA) synthesis by special proteins called transcription factors, has inspired engineered systems that can control the levels of mRNA with certain combinations of transcription factors. Here, we show an alternative approach to achieving general-purpose control of mRNA and protein levels by logic integration of transcription factor input signals in mammalian cells. The transcription factors regulate synthetic genes coding for small regulatory RNAs (called microRNAs), which, in turn, control the mRNA of interest (the output) via an RNA interference pathway. The simplicity of these modular interactions makes it possible, in theory, to implement any arbitrary logic relation between the transcription factors and the output. We construct, test and optimize increasingly complex circuits with up to three transcription factor inputs, establishing a platform for in vivo molecular computing.

Indexed as

Computers, MolecularAnimalsCell LineGene Expression RegulationHumansMicroRNAsModels, GeneticPlasmidsRNA, Small InterferingTranscription FactorsTransfectionMicroRNAsRNA, Small InterferingTranscription Factors

Identifiers

PMID20622866
PMCPMC2934882
OpenAlexW2060339242

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.