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Recommendations for improving accuracy of gene expression data in bone and cartilage tissue engineering
Autogenous tissue grafting remains the gold standard in the treatment of critical sized bone and certain cartilage defects, while the translation of tissue engineered osteogenesis or chondrogenesis from the lab bench into clinical practice, utilizing natural or synthetic biomimetic devices, remains...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173755/ https://www.ncbi.nlm.nih.gov/pubmed/30291289 http://dx.doi.org/10.1038/s41598-018-33242-z |
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author | He, Tao Huang, Yijiang Chak, Juy Chi Klar, Roland Manfred |
author_facet | He, Tao Huang, Yijiang Chak, Juy Chi Klar, Roland Manfred |
author_sort | He, Tao |
collection | PubMed |
description | Autogenous tissue grafting remains the gold standard in the treatment of critical sized bone and certain cartilage defects, while the translation of tissue engineered osteogenesis or chondrogenesis from the lab bench into clinical practice, utilizing natural or synthetic biomimetic devices, remains challenging. One of the crucial underestimated reasons for non-translatability could be the imprecision and inconsistency of generated gene expression profiles, utilizing improperly optimized and standardized quantitative gene assays. Utilizing GeNorm for downstream qRT-PCR applications, the stability of reference genes in relation to optimal cDNA amounts was assessed on human bone marrow-derived mesenchymal and adipose-derived stem cells neat and made to differentiate into chondrocytes including normal human derived chondrocytes and muscle tissue from rats. Results showed that reference genes can vary substantially across separately and/or combined cell lines and/or tissue types including treatment parameters. The recommendations to all bone and cartilage tissue engineers utilizing qRT-PCR is not to assume that reference gene stability and quantity remain conserved across cell lines or tissue types but to always determine, for each new experiment, the stability and normalization quantity of reference genes anew. |
format | Online Article Text |
id | pubmed-6173755 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61737552018-10-09 Recommendations for improving accuracy of gene expression data in bone and cartilage tissue engineering He, Tao Huang, Yijiang Chak, Juy Chi Klar, Roland Manfred Sci Rep Article Autogenous tissue grafting remains the gold standard in the treatment of critical sized bone and certain cartilage defects, while the translation of tissue engineered osteogenesis or chondrogenesis from the lab bench into clinical practice, utilizing natural or synthetic biomimetic devices, remains challenging. One of the crucial underestimated reasons for non-translatability could be the imprecision and inconsistency of generated gene expression profiles, utilizing improperly optimized and standardized quantitative gene assays. Utilizing GeNorm for downstream qRT-PCR applications, the stability of reference genes in relation to optimal cDNA amounts was assessed on human bone marrow-derived mesenchymal and adipose-derived stem cells neat and made to differentiate into chondrocytes including normal human derived chondrocytes and muscle tissue from rats. Results showed that reference genes can vary substantially across separately and/or combined cell lines and/or tissue types including treatment parameters. The recommendations to all bone and cartilage tissue engineers utilizing qRT-PCR is not to assume that reference gene stability and quantity remain conserved across cell lines or tissue types but to always determine, for each new experiment, the stability and normalization quantity of reference genes anew. Nature Publishing Group UK 2018-10-05 /pmc/articles/PMC6173755/ /pubmed/30291289 http://dx.doi.org/10.1038/s41598-018-33242-z Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article He, Tao Huang, Yijiang Chak, Juy Chi Klar, Roland Manfred Recommendations for improving accuracy of gene expression data in bone and cartilage tissue engineering |
title | Recommendations for improving accuracy of gene expression data in bone and cartilage tissue engineering |
title_full | Recommendations for improving accuracy of gene expression data in bone and cartilage tissue engineering |
title_fullStr | Recommendations for improving accuracy of gene expression data in bone and cartilage tissue engineering |
title_full_unstemmed | Recommendations for improving accuracy of gene expression data in bone and cartilage tissue engineering |
title_short | Recommendations for improving accuracy of gene expression data in bone and cartilage tissue engineering |
title_sort | recommendations for improving accuracy of gene expression data in bone and cartilage tissue engineering |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173755/ https://www.ncbi.nlm.nih.gov/pubmed/30291289 http://dx.doi.org/10.1038/s41598-018-33242-z |
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