| Title |
Redox cofactor engineering in industrial microorganisms: strategies, recent applications and future directions
|
|---|---|
| Published in |
Journal of Industrial Microbiology & Biotechnology, May 2018
|
| DOI | 10.1007/s10295-018-2031-7 |
| Pubmed ID | |
| Authors |
Jiaheng Liu, Huiling Li, Guangrong Zhao, Qinggele Caiyin, Jianjun Qiao |
| Abstract |
NAD and NADP, a pivotal class of cofactors, which function as essential electron donors or acceptors in all biological organisms, drive considerable catabolic and anabolic reactions. Furthermore, they play critical roles in maintaining intracellular redox homeostasis. However, many metabolic engineering efforts in industrial microorganisms towards modification or introduction of metabolic pathways, especially those involving consumption, generation or transformation of NAD/NADP, often induce fluctuations in redox state, which dramatically impede cellular metabolism, resulting in decreased growth performance and biosynthetic capacity. Here, we comprehensively review the cofactor engineering strategies for solving the problematic redox imbalance in metabolism modification, as well as their features, suitabilities and recent applications. Some representative examples of in vitro biocatalysis are also described. In addition, we briefly discuss how tools and methods from the field of synthetic biology can be applied for cofactor engineering. Finally, future directions and challenges for development of cofactor redox engineering are presented. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 100 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 19% |
| Student > Master | 17 | 17% |
| Researcher | 15 | 15% |
| Student > Bachelor | 9 | 9% |
| Other | 6 | 6% |
| Other | 10 | 10% |
| Unknown | 24 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 33 | 33% |
| Agricultural and Biological Sciences | 16 | 16% |
| Engineering | 7 | 7% |
| Chemical Engineering | 6 | 6% |
| Immunology and Microbiology | 3 | 3% |
| Other | 7 | 7% |
| Unknown | 28 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 March 2018.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Journal of Industrial Microbiology & Biotechnology
#1,360
of 1,612 outputs
Outputs of similar age
#249,516
of 339,207 outputs
Outputs of similar age from Journal of Industrial Microbiology & Biotechnology
#3
of 11 outputs
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So far Altmetric has tracked 1,612 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.