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A new potential secretion pathway for recombinant proteins in Bacillus subtilis

Overview of attention for article published in Microbial Cell Factories, November 2015
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Title
A new potential secretion pathway for recombinant proteins in Bacillus subtilis
Published in
Microbial Cell Factories, November 2015
DOI 10.1186/s12934-015-0374-6
Pubmed ID
Authors

Guangqiang Wang, Yongjun Xia, Zhennan Gu, Hao Zhang, Yong Q. Chen, Haiqin Chen, Lianzhong Ai, Wei Chen

Abstract

Secretion of cytoplasmic expressed proteins into growth media has significant advantages. Due to the lack of an outer membrane, Bacillus subtilis is considered as a desirable 'cell factory' for the secretion of recombinant proteins. However, bottlenecks in the classical pathway for the secretion of recombinant proteins limit its use on a wide scale. In this study, we attempted to use four typical non-classically secreted proteins as signals to export three recombinant model proteins to the culture medium. All four non-classically secreted proteins can direct the export of the intrinsically disordered nucleoskeletal-like protein (Nsp). Two of them can guide the secretion of alkaline phosphatase (PhoA). One can lead the secretion of the thermostable β-galactosidase BgaB, which cannot be secreted with the aid of typical Sec-dependent signal peptides. Our results show that the non-classically secreted proteins lead the recombinant proteins to the culture medium, and thus non-classical protein secretion pathways can be exploited as a novel secretion pathway for recombinant proteins.

X Demographics

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 1%
Unknown 79 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 25%
Researcher 13 16%
Student > Master 11 14%
Student > Bachelor 8 10%
Student > Doctoral Student 5 6%
Other 6 8%
Unknown 17 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 38%
Agricultural and Biological Sciences 27 34%
Chemistry 2 3%
Nursing and Health Professions 2 3%
Unspecified 1 1%
Other 2 3%
Unknown 16 20%
Attention Score in Context

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 12 November 2015.
All research outputs
#15,349,796
of 22,832,057 outputs
Outputs from Microbial Cell Factories
#986
of 1,599 outputs
Outputs of similar age
#165,142
of 282,792 outputs
Outputs of similar age from Microbial Cell Factories
#20
of 36 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,599 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 282,792 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.