Evidence map›Paper›PMID 29740742›Full record

ReviewJournal of industrial microbiology & biotechnology2018

Prospects for engineering dynamic CRISPR-Cas transcriptional circuits to improve bioproduction.

Jason Fontana, William E Voje, Jesse G Zalatan, James M Carothers

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Journal of industrial microbiology & biotechnology, 2018. 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
0.6field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  7. CRISPR-Cas9/Cas12a biotechnology and application in bacteria.Synthetic and systems biotechnology · 2018
    Review
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

4 authors at 1 institution in 1 country.

Jason FontanaMolecular Engineering and Sciences Institute and Center for Synthetic Biology, University of Washington, Seattle, WA, 98195, USA.
William E VojeMolecular Engineering and Sciences Institute and Center for Synthetic Biology, University of Washington, Seattle, WA, 98195, USA.
Jesse G ZalatanMolecular Engineering and Sciences Institute and Center for Synthetic Biology, University of Washington, Seattle, WA, 98195, USA. zalatan@uw.edu.
James M CarothersMolecular Engineering and Sciences Institute and Center for Synthetic Biology, University of Washington, Seattle, WA, 98195, USA. jcaroth@uw.edu.
University of Washington · US

Funding

Burroughs Wellcome Fund Career Award at the Scientific InterfaceDivision of Molecular and Cellular Biosciences 1517052University of Washington Presidential Innovation Award
6 · The paper itself

Abstract

Dynamic control of gene expression is emerging as an important strategy for controlling flux in metabolic pathways and improving bioproduction of valuable compounds. Integrating dynamic genetic control tools with CRISPR-Cas transcriptional regulation could significantly improve our ability to fine-tune the expression of multiple endogenous and heterologous genes according to the state of the cell. In this mini-review, we combine an analysis of recent literature with examples from our own work to discuss the prospects and challenges of developing dynamically regulated CRISPR-Cas transcriptional control systems for applications in synthetic biology and metabolic engineering.

Indexed as

CRISPR-Cas SystemsMetabolic EngineeringSynthetic BiologyCorynebacterium glutamicumCyanobacteriaEscherichia coliGene Expression RegulationGenetic EngineeringGenome, BacterialSaccharomyces cerevisiaeTranscription FactorsTranscription FactorsBiosensorsCRISPR–CasDynamic controlMetabolic engineeringTranscriptional control

Identifiers

PMID29740742
OpenAlexW2800030541

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.