Dataset Information

Proteomic comparison of tissue engineered tendon constructs derived young and old cells

ABSTRACT: Tendon injuries can occur due to sports related incidents, as a result of trauma to overuse or during disease or ageing. Tissue engineering can offer great potential in the treatment of a tendon injury. The preferred cell source is autologous in order to reduce immune response in the treated individual. However, in elderly patients age-related changes in metabolism of the implanted cells may affect results of such therapy. In this study the effect of donor age on synthetic activity of cells used for creation of tendon tissue-engineered constructs was investigated by using label-free proteomic comparison.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Equus Caballus (horse)

TISSUE(S): Tendon Cell, Tendon

SUBMITTER: Yalda Ashraf Kharaz

LAB HEAD: Dr Mandy Peffers

PROVIDER: PXD005322 | Pride | 2018-10-26

REPOSITORIES: Pride

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Publications

Donor age affects proteome composition of tenocyte-derived engineered tendon.

Turlo Agnieszka J AJ Ashraf Kharaz Yalda Y Clegg Peter D PD Anderson James J Peffers Mandy J MJ

BMC biotechnology 20180116 1

<h4>Background</h4>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 ...[more]

PMID: 29338716

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Project description:Healing process after connective tissues (CT) injury is complex but important as CT are critical for human moving, and patient outcome of CT injured patients is protracted with high individual variation. Specific markers which could be used for healing prognosis will be great help to monitor patient outcome, and furtherly improve target treatment and patient recovery. Although several common factors like age, gender and body mass index (BMI) were reported to predict ATR healing outcome [references], more specific markers which can be used as predictors of patient outcome after ATR are still lacking. Several biomarkers have been reported to associate with tendon healing, and indicated their relationship with patient outcome(1-4). These results highlight the potential of protein expression detection and analysis for tendon study in general and healing outcome prognosis in particular. Collagen type I (Col1a1) is the main component of Achilles tendon and plays vital role in tendon healing via involving in collagen fibrils production among tendon fibroblasts(5). Higher production of Col1a1 is associated with faster tendon repair(6), previous study on animal model reported the increased Col1a1 synthesis can exert a positive effect on tendon healing[?]. Thus, functional proteins with high impact on Col1a1 can be used not only to improve tendon healing, also can be as targets for healing improvement and outcome prediction. The proteome file of Achilles tendon which is important to increase understanding of tendon healing and help to identify accurate outcome-related biomarkers is however lagged behind. The identification of proteomic profile of Achilles tendon is very much limited in number of proteins and sample size(7-9), and is even few on human. Recent improvement in proteomic assay based on mass spectrometry (MS) made it possible to assemble the proteomic landscape of human tissues(10, 11) with high quality and sensitivity. To characterize the proteomic components in human Achilles tendon, we utilized biopsies from ATR patients with both good and poor 1-year healing outcome. A validated platform including quantitative MS and clinical database was used to identify proteomic landscape and potential bio-predictors of clinical outcome. Our study may provide a more comprehensive landscape of proteins for human Achilles tendon, as well as specific biomarkers which can be used for long term outcome prognosis after ATR.

Dataset Information

Proteomic comparison of tissue engineered tendon constructs derived young and old cells

Publications

Donor age affects proteome composition of tenocyte-derived engineered tendon.

Similar Datasets

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