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Donor age affects proteome composition of tenocyte-derived engineered tendon

Overview of attention for article published in BMC Biotechnology, January 2018
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Title
Donor age affects proteome composition of tenocyte-derived engineered tendon
Published in
BMC Biotechnology, January 2018
DOI 10.1186/s12896-018-0414-5
Pubmed ID
Authors

Agnieszka J. Turlo, Yalda Ashraf Kharaz, Peter D. Clegg, James Anderson, Mandy J. Peffers

Abstract

The concept of tissue engineering is to deliver to the injury site biological scaffolds carrying functional cells that will enhance healing response. The preferred cell source is autologous in order to reduce immune response in the treated individual. However, in elderly patients age-related changes in synthetic activity of the implanted cells and subsequent alterations in tissue protein content may affect therapeutic outcomes. In this study we investigated the effect of donor age on proteome composition of tenocyte-derived tendon tissue-engineered constructs. Liquid chromatography tandem mass spectrometry was used to assess the proteome of tissue-engineered constructs derived from young and old equine tenocytes. Ageing was associated with altered extracellular matrix composition, especially accumulation of collagens (type I, III and XIV), and lower cytoskeletal turnover. Proteins involved in cell responsiveness to mechanical stimuli and cell-extracellular matrix interaction (calponin 1, palladin, caldesmon 1, cortactin) were affected. This study demonstrated significant changes in proteome of engineered tendon derived from young and old tenocytes, indicating the impact of donor age on composition of autologous constructs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Researcher 6 16%
Student > Master 5 14%
Other 3 8%
Unspecified 3 8%
Other 4 11%
Unknown 9 24%
Readers by discipline Count As %
Medicine and Dentistry 7 19%
Biochemistry, Genetics and Molecular Biology 4 11%
Unspecified 3 8%
Nursing and Health Professions 3 8%
Engineering 3 8%
Other 6 16%
Unknown 11 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 18 February 2021.
All research outputs
#13,886,942
of 23,016,919 outputs
Outputs from BMC Biotechnology
#619
of 939 outputs
Outputs of similar age
#228,103
of 442,091 outputs
Outputs of similar age from BMC Biotechnology
#5
of 10 outputs
Altmetric has tracked 23,016,919 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 939 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 33rd percentile – i.e., 33% 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 442,091 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.