Evidence map›Paper›PMID 24736794›Full record

ReviewNature reviews. Microbiology2014

A versatile framework for microbial engineering using synthetic non-coding RNAs.

Lei S Qi, Adam P Arkin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 96 citations in OpenAlex.

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  12. Applying a New REFINE Approach inFrontiers in microbiology · 2019
    Article
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  19. Unwinding the twister ribozyme: from structure to mechanism.Wiley interdisciplinary reviews. RNA · 2017
    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

2 authors at 2 institutions in 1 country.

Lei S Qi1] University of California San Francisco Center for Systems and Synthetic Biology, University of California San Francisco, San Francisco, California 94158, USA. [2] Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California 94158, USA. [3] California Institute for Quantitative Biomedical Research, San Francisco, California 94158, USA.
Adam P Arkin1] California Institute for Quantitative Biomedical Research, San Francisco, California 94158, USA. [2] Department of Bioengineering, University of California Berkeley, Berkeley, California 94720, USA. [3] Physical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.
QB3 · USUniversity of California, San Francisco · US

Funding

PROJECT 3P50GM102706 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI CATE, JAMIE H · 2012 to 2016
$9.5M
Harnessing CRISPR for Targeted and Inducible Epigenomic ReprogrammingR01DA036858 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A, QI, LEI STANLEY · 2013 to 2017
$2.9M
A novel RNA-guided platform for sequence-specific cell reprogrammingDP5OD017887 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI QI, LEI STANLEY · 2013 to 2017
$2.0M
NIDA NIH HHS R01 DA036858NIGMS NIH HHS P50 GM102706NIH HHS OD017887
6 · The paper itself

Abstract

Synthetic non-coding RNAs have emerged as a versatile class of molecular devices that have a diverse range of programmable functions, including signal sensing, gene regulation and the modulation of molecular interactions. Owing to their small size and the central role of Watson-Crick base pairing in determining their structure, function and interactions, several distinct types of synthetic non-coding RNA regulators that are functional at the DNA, mRNA and protein levels have been experimentally characterized and computationally modelled. These engineered devices can be incorporated into genetic circuits, enabling the more efficient creation of complex synthetic biological systems. In this Review, we summarize recent progress in engineering synthetic non-coding RNA devices and their application to genetic and cellular engineering in a broad range of microorganisms.

Indexed as

Gene Expression RegulationBacteriaBiotechnologyComputer SimulationFungiGene Regulatory NetworksGenetic EngineeringRNA, UntranslatedSignal TransductionSynthetic BiologyRNA, Untranslated

Identifiers

PMID24736794
OpenAlexW2044608322

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.