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A comparative study of enzyme initiators for crosslinking phenol-functionalized hydrogels for cell encapsulation

Overview of attention for article published in Biomaterials Research, October 2016
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Title
A comparative study of enzyme initiators for crosslinking phenol-functionalized hydrogels for cell encapsulation
Published in
Biomaterials Research, October 2016
DOI 10.1186/s40824-016-0077-z
Pubmed ID
Authors

Justine J. Roberts, Pratibha Naudiyal, Khoon S. Lim, Laura A. Poole-Warren, Penny J. Martens

Abstract

Dityrosine crosslinking in proteins is a bioinspired method of forming hydrogels. This study compares oxidative enzyme initiators for their relative crosslinking efficiency and cytocompatibility using the same phenol group and the same material platform. Four common enzyme and enzyme-like oxidative initiators were probed for resulting material properties and cell viability post-encapsulation. All four initiators can be used to form phenol-crosslinked hydrogels, however gelation rates are dependent on enzyme type, concentration, and the oxidant. Horseradish peroxidase (HRP) or hematin with hydrogen peroxide led to a more rapid poly (vinyl alcohol)-tyramine (PVA-Tyr) polymerization (10-60 min) because a high oxidant concentration was dissolved within the macromer solution at the onset of crosslinking, whereas laccase and tyrosinase require oxygen diffusion to crosslink phenol residues and therefore took longer to gel (2.5+ hours). The use of hydrogen peroxide as an oxidant reduced cell viability immediately post-encapsulation. Laccase- and tyrosinase-mediated encapsulation of cells resulted in higher cell viability immediately post-encapsulation and significantly higher cell proliferation after one week of culture. Overall this study demonstrates that HRP/H2O2, hematin/H2O2, laccase, and tyrosinase can create injectable, in situ phenol-crosslinked hydrogels, however oxidant type and concentration are critical parameters to assess when phenol crosslinking hydrogels for cell-based applications.

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Mendeley readers

Mendeley readers

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Geographical breakdown

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

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 18%
Student > Ph. D. Student 14 18%
Researcher 9 11%
Student > Bachelor 6 8%
Student > Postgraduate 6 8%
Other 8 10%
Unknown 23 29%
Readers by discipline Count As %
Engineering 13 16%
Biochemistry, Genetics and Molecular Biology 11 14%
Chemistry 6 8%
Agricultural and Biological Sciences 6 8%
Materials Science 5 6%
Other 13 16%
Unknown 26 33%
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 16 January 2017.
All research outputs
#20,656,161
of 25,373,627 outputs
Outputs from Biomaterials Research
#142
of 197 outputs
Outputs of similar age
#252,480
of 327,026 outputs
Outputs of similar age from Biomaterials Research
#4
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 197 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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