Evidence map›Paper›PMID 27420605›Full record

ArticleBioengineered2016

Optimizing cyanobacterial product synthesis: Meeting the challenges.

Tomáš Zavřel, Jan Červený, Henning Knoop, Ralf Steuer

Abstract read
In one paragraph

Article in Bioengineered, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Toward Multiscale Models of Cyanobacterial Growth: A Modular Approach.Frontiers in bioengineering and biotechnology · 2016
    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.

Tomáš Zavřela Department of Adaptive Biotechnologies , Global Change Research Institute, Academy of Science of the Czech Republic , Drásov , Czech Republic.
Jan Červenýa Department of Adaptive Biotechnologies , Global Change Research Institute, Academy of Science of the Czech Republic , Drásov , Czech Republic.
Henning Knoopb Institut für Theoretische Biologie, Humboldt-Universität zu Berlin , Berlin , Germany.
Ralf Steuerb Institut für Theoretische Biologie, Humboldt-Universität zu Berlin , Berlin , Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The synthesis of renewable bioproducts using photosynthetic microorganisms holds great promise. Sustainable industrial applications, however, are still scarce and the true limits of phototrophic production remain unknown. One of the limitations of further progress is our insufficient understanding of the quantitative changes in photoautotrophic metabolism that occur during growth in dynamic environments. We argue that a proper evaluation of the intra- and extracellular factors that limit phototrophic production requires the use of highly-controlled cultivation in photobioreactors, coupled to real-time analysis of production parameters and their evaluation by predictive computational models. In this addendum, we discuss the importance and challenges of systems biology approaches for the optimization of renewable biofuels production. As a case study, we present the utilization of a state-of-the-art experimental setup together with a stoichiometric computational model of cyanobacterial metabolism for quantitative evaluation of ethylene production by a recombinant cyanobacterium Synechocystis sp. PCC 6803.

Indexed as

BiofuelsComputer SimulationEthylenesMetabolic EngineeringPhotosynthesisSynechocystisSystems BiologyBiofuelsethyleneEthylenesbiofuelsbiotechnologycyanobacteriaethylenegenome-scale models (GSM)MIMSphotobioreactorssystems biology

Identifiers

PMID27420605
PMCPMC5241762

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.