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Collagen Partition in Polymeric Aqueous Two-Phase Systems for Tissue Engineering

Overview of attention for article published in Frontiers in Chemistry, September 2018
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Title
Collagen Partition in Polymeric Aqueous Two-Phase Systems for Tissue Engineering
Published in
Frontiers in Chemistry, September 2018
DOI 10.3389/fchem.2018.00379
Pubmed ID
Authors

Sunil Singh, Hossein Tavana

Abstract

Aqueous two-phase systems (ATPS) of polyethylene glycol (PEG) and dextran (DEX) are commonly used to partition proteins. Protein partition in ATPS is a complex phenomenon and depends on factors including molecular weight of polymers, and electrochemical and ionic properties of the phases. We studied the effect of polymer molecular weight on the partition of a natural protein, collagen, in several ATPS formulations made with non-ionic polymers polyethylene glycol (PEG) and dextran (DEX). We found that partitioning of collagen to an aqueous phase significantly increases when the molecular weight of the corresponding phase polymer decreases. Additionally, a large difference between the molecular weight of the phase-forming polymers was necessary to cause a significant uneven collagen distribution between the aqueous phases. We then employed one of the systems to create a three-dimensional breast cancer microtissue by entrapping a spheroid of breast cancer cells within the partitioned collagen. This convenient technique to generate 3D microtissues offers a convenient and promising approach for tissue engineering applications.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 23%
Student > Doctoral Student 4 9%
Student > Ph. D. Student 4 9%
Unspecified 3 7%
Student > Master 2 5%
Other 2 5%
Unknown 18 42%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 14%
Unspecified 3 7%
Engineering 3 7%
Agricultural and Biological Sciences 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 8 19%
Unknown 18 42%
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 04 September 2018.
All research outputs
#20,532,290
of 23,102,082 outputs
Outputs from Frontiers in Chemistry
#2,950
of 6,040 outputs
Outputs of similar age
#292,036
of 335,392 outputs
Outputs of similar age from Frontiers in Chemistry
#88
of 206 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,040 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 1st percentile – i.e., 1% 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 335,392 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 206 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.