Evidence map›Paper›PMID 23474465›Full record

ArticleNature methods2013

Precise and reliable gene expression via standard transcription and translation initiation elements.

Vivek K Mutalik, Joao C Guimaraes, Guillaume Cambray, Colin Lam, Marc Juul Christoffersen, Quynh-Anh Mai, Andrew B Tran, Morgan Paull, Jay D Keasling, Adam P Arkin and 1 more

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Nature methods, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 349 papers.

0numbers the graph read from it
0cells of the map it votes in
349citing papers in PubMed
33.5field-weighted citation impact, top 1% 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

349 citing papers in PubMed, 815 citations in OpenAlex.

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289 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 2 countries.

Vivek K MutalikBIOFAB International Open Facility Advancing Biotechnology, Emeryville, California, USA.
Joao C Guimaraes
Guillaume Cambray
Colin Lam
Marc Juul Christoffersen
Quynh-Anh Mai
Andrew B Tran
Morgan Paull
Jay D Keasling
Adam P Arkin
Drew Endy
University of California, Berkeley · USJoint BioEnergy Institute · USStanford University · USUniversity of Minho · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An inability to reliably predict quantitative behaviors for novel combinations of genetic elements limits the rational engineering of biological systems. We developed an expression cassette architecture for genetic elements controlling transcription and translation initiation in Escherichia coli: transcription elements encode a common mRNA start, and translation elements use an overlapping genetic motif found in many natural systems. We engineered libraries of constitutive and repressor-regulated promoters along with translation initiation elements following these definitions. We measured activity distributions for each library and selected elements that collectively resulted in expression across a 1,000-fold observed dynamic range. We studied all combinations of curated elements, demonstrating that arbitrary genes are reliably expressed to within twofold relative target expression windows with ∼93% reliability. We expect the genetic element definitions validated here can be collectively expanded to create collections of public-domain standard biological parts that support reliable forward engineering of gene expression at genome scales.

Indexed as

Gene Expression Regulation, BacterialTranscription, GeneticEscherichia coliGene LibraryGenetic EngineeringGenome, BacterialProkaryotic Initiation FactorsPromoter Regions, GeneticRNA, BacterialRNA, MessengerProkaryotic Initiation FactorsRNA, BacterialRNA, Messenger

Identifiers

PMID23474465
OpenAlexW2001426985

What OpenQuestion holds

Textmetadata
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.