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Compartmentalization and Transport in Synthetic Vesicles

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, February 2016
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  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Title
Compartmentalization and Transport in Synthetic Vesicles
Published in
Frontiers in Bioengineering and Biotechnology, February 2016
DOI 10.3389/fbioe.2016.00019
Pubmed ID
Authors

Christine Schmitt, Anna H. Lippert, Navid Bonakdar, Vahid Sandoghdar, Lars M. Voll

Abstract

Nanoscale vesicles have become a popular tool in life sciences. Besides liposomes that are generated from phospholipids of natural origin, polymersomes fabricated of synthetic block copolymers enjoy increasing popularity, as they represent more versatile membrane building blocks that can be selected based on their specific physicochemical properties, such as permeability, stability, or chemical reactivity. In this review, we focus on the application of simple and nested artificial vesicles in synthetic biology. First, we provide an introduction into the utilization of multicompartmented vesosomes as compartmentalized nanoscale bioreactors. In the bottom-up development of protocells from vesicular nanoreactors, the specific exchange of pathway intermediates across compartment boundaries represents a bottleneck for future studies. To date, most compartmented bioreactors rely on unspecific exchange of substrates and products. This is either based on changes in permeability of the coblock polymer shell by physicochemical triggers or by the incorporation of unspecific porin proteins into the vesicle membrane. Since the incorporation of membrane transport proteins into simple and nested artificial vesicles offers the potential for specific exchange of substances between subcompartments, it opens new vistas in the design of protocells. Therefore, we devote the main part of the review to summarize the technical advances in the use of phospholipids and block copolymers for the reconstitution of membrane proteins.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
China 1 <1%
Germany 1 <1%
Belgium 1 <1%
Unknown 164 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 26%
Student > Master 26 15%
Researcher 24 14%
Student > Bachelor 19 11%
Student > Doctoral Student 13 8%
Other 13 8%
Unknown 29 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 34 20%
Chemistry 34 20%
Agricultural and Biological Sciences 20 12%
Engineering 16 10%
Physics and Astronomy 6 4%
Other 22 13%
Unknown 36 21%
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 15 July 2016.
All research outputs
#15,362,070
of 22,852,911 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#2,624
of 6,589 outputs
Outputs of similar age
#176,523
of 297,592 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#15
of 33 outputs
Altmetric has tracked 22,852,911 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 6,589 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 56% of its peers.
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 297,592 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 33 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 51% of its contemporaries.