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Biomarkers for tissue engineering of the tendon-bone interface

The tendon-bone interface (enthesis) is a highly sophisticated biomaterial junction that allows stress transfer between mechanically dissimilar materials. The enthesis encounters very high mechanical demands and the regenerative capacity is very low resulting in high rupture recurrence rates after s...

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Autores principales: Kuntz, Lara A., Rossetti, Leone, Kunold, Elena, Schmitt, Andreas, von Eisenhart-Rothe, Ruediger, Bausch, Andreas R., Burgkart, Rainer H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751986/
https://www.ncbi.nlm.nih.gov/pubmed/29298298
http://dx.doi.org/10.1371/journal.pone.0189668
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author Kuntz, Lara A.
Rossetti, Leone
Kunold, Elena
Schmitt, Andreas
von Eisenhart-Rothe, Ruediger
Bausch, Andreas R.
Burgkart, Rainer H.
author_facet Kuntz, Lara A.
Rossetti, Leone
Kunold, Elena
Schmitt, Andreas
von Eisenhart-Rothe, Ruediger
Bausch, Andreas R.
Burgkart, Rainer H.
author_sort Kuntz, Lara A.
collection PubMed
description The tendon-bone interface (enthesis) is a highly sophisticated biomaterial junction that allows stress transfer between mechanically dissimilar materials. The enthesis encounters very high mechanical demands and the regenerative capacity is very low resulting in high rupture recurrence rates after surgery. Tissue engineering offers the potential to recover the functional integrity of entheses. However, recent enthesis tissue engineering approaches have been limited by the lack of knowledge about the cells present at this interface. Here we investigated the cellular differentiation of enthesis cells and compared the cellular pattern of enthesis cells to tendon and cartilage cells in a next generation sequencing transcriptome study. We integrated the transcriptome data with proteome data of a previous study to identify biomarkers of enthesis cell differentiation. Transcriptomics detected 34468 transcripts in total in enthesis, tendon, and cartilage. Transcriptome comparisons revealed 3980 differentially regulated candidates for enthesis and tendon, 395 for enthesis and cartilage, and 946 for cartilage and tendon. An asymmetric distribution of enriched genes was observed in enthesis and cartilage transcriptome comparison suggesting that enthesis cells are more chondrocyte-like than tenocyte-like. Integrative analysis of transcriptome and proteome data identified ten enthesis biomarkers and six tendon biomarkers. The observed gene expression characteristics and differentiation markers shed light into the nature of the cells present at the enthesis. The presented markers will foster enthesis tissue engineering approaches by setting a bench-mark for differentiation of seeded cells towards a physiologically relevant phenotype.
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spelling pubmed-57519862018-01-09 Biomarkers for tissue engineering of the tendon-bone interface Kuntz, Lara A. Rossetti, Leone Kunold, Elena Schmitt, Andreas von Eisenhart-Rothe, Ruediger Bausch, Andreas R. Burgkart, Rainer H. PLoS One Research Article The tendon-bone interface (enthesis) is a highly sophisticated biomaterial junction that allows stress transfer between mechanically dissimilar materials. The enthesis encounters very high mechanical demands and the regenerative capacity is very low resulting in high rupture recurrence rates after surgery. Tissue engineering offers the potential to recover the functional integrity of entheses. However, recent enthesis tissue engineering approaches have been limited by the lack of knowledge about the cells present at this interface. Here we investigated the cellular differentiation of enthesis cells and compared the cellular pattern of enthesis cells to tendon and cartilage cells in a next generation sequencing transcriptome study. We integrated the transcriptome data with proteome data of a previous study to identify biomarkers of enthesis cell differentiation. Transcriptomics detected 34468 transcripts in total in enthesis, tendon, and cartilage. Transcriptome comparisons revealed 3980 differentially regulated candidates for enthesis and tendon, 395 for enthesis and cartilage, and 946 for cartilage and tendon. An asymmetric distribution of enriched genes was observed in enthesis and cartilage transcriptome comparison suggesting that enthesis cells are more chondrocyte-like than tenocyte-like. Integrative analysis of transcriptome and proteome data identified ten enthesis biomarkers and six tendon biomarkers. The observed gene expression characteristics and differentiation markers shed light into the nature of the cells present at the enthesis. The presented markers will foster enthesis tissue engineering approaches by setting a bench-mark for differentiation of seeded cells towards a physiologically relevant phenotype. Public Library of Science 2018-01-03 /pmc/articles/PMC5751986/ /pubmed/29298298 http://dx.doi.org/10.1371/journal.pone.0189668 Text en © 2018 Kuntz et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kuntz, Lara A.
Rossetti, Leone
Kunold, Elena
Schmitt, Andreas
von Eisenhart-Rothe, Ruediger
Bausch, Andreas R.
Burgkart, Rainer H.
Biomarkers for tissue engineering of the tendon-bone interface
title Biomarkers for tissue engineering of the tendon-bone interface
title_full Biomarkers for tissue engineering of the tendon-bone interface
title_fullStr Biomarkers for tissue engineering of the tendon-bone interface
title_full_unstemmed Biomarkers for tissue engineering of the tendon-bone interface
title_short Biomarkers for tissue engineering of the tendon-bone interface
title_sort biomarkers for tissue engineering of the tendon-bone interface
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5751986/
https://www.ncbi.nlm.nih.gov/pubmed/29298298
http://dx.doi.org/10.1371/journal.pone.0189668
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