ArticleFrontiers in microbiology2013
Design and development of synthetic microbial platform cells for bioenergy.
Article in Frontiers in microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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.
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Who cites it
11 citing papers in PubMed, 53 citations in OpenAlex.
- Construction of primary chassis cells with efficient protein expression in Thermus thermophilus.Microbial cell factories · 2025Article
- Peptide Variant Detection by a Living Yeast Biosensor via an Epitope-Selective Protease.Biodesign research · 2023Article
- Photocatalytic Material-Microorganism Hybrid System and Its Application-A Review.Micromachines · 2022Review
- Ultrasound-controllable engineered bacteria for cancer immunotherapy.Nature communications · 2022Article
- Engineering and modification of microbial chassis for systems and synthetic biology.Synthetic and systems biotechnology · 2019Review
- The novel oleaginous bacterium Sphingomonas sp. EGY1 DSM 29616: a value added platform for renewable biodiesel.World journal of microbiology & biotechnology · 2017Article
- Activation of an Otherwise Silent Xylose Metabolic Pathway in Shewanella oneidensis.Applied and environmental microbiology · 2016Article
- Biohydrogen production: strategies to improve process efficiency through microbial routes.International journal of molecular sciences · 2015Review
- Structural and biochemical basis for mannan utilization by Caldanaerobius polysaccharolyticus strain ATCC BAA-17.The Journal of biological chemistry · 2014Article
- Structure of a PL17 family alginate lyase demonstrates functional similarities among exotype depolymerases.The Journal of biological chemistry · 2014Article
- Synthetic biology applications in industrial microbiology.Frontiers in microbiology · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The finite reservation of fossil fuels accelerates the necessity of development of renewable energy sources. Recent advances in synthetic biology encompassing systems biology and metabolic engineering enable us to engineer and/or create tailor made microorganisms to produce alternative biofuels for the future bio-era. For the efficient transformation of biomass to bioenergy, microbial cells need to be designed and engineered to maximize the performance of cellular metabolisms for the production of biofuels during energy flow. Toward this end, two different conceptual approaches have been applied for the development of platform cell factories: forward minimization and reverse engineering. From the context of naturally minimized genomes,non-essential energy-consuming pathways and/or related gene clusters could be progressively deleted to optimize cellular energy status for bioenergy production. Alternatively, incorporation of non-indigenous parts and/or modules including biomass-degrading enzymes, carbon uptake transporters, photosynthesis, CO2 fixation, and etc. into chassis microorganisms allows the platform cells to gain novel metabolic functions for bioenergy. This review focuses on the current progress in synthetic biology-aided pathway engineering in microbial cells and discusses its impact on the production of sustainable bioenergy.
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Registered trials
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.