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Gene expression profiles for in vitro human stem cell differentiation into osteoblasts and osteoclasts: a systematic review
BACKGROUND: There have been promising results published regarding the potential of stem cells in regenerative medicine. However, the vast variety of choices of techniques and the lack of a standard approach to analyse human osteoblast and osteoclast differentiation may reduce the utility of stem cel...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583853/ https://www.ncbi.nlm.nih.gov/pubmed/36275474 http://dx.doi.org/10.7717/peerj.14174 |
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author | Zainal Ariffin, Shahrul Hisham Lim, Ker Wei Megat Abdul Wahab, Rohaya Zainal Ariffin, Zaidah Rus Din, Rus Dina Shahidan, Muhammad Ashraf Johari, Anis Nabilah Zainol Abidin, Intan Zarina |
author_facet | Zainal Ariffin, Shahrul Hisham Lim, Ker Wei Megat Abdul Wahab, Rohaya Zainal Ariffin, Zaidah Rus Din, Rus Dina Shahidan, Muhammad Ashraf Johari, Anis Nabilah Zainol Abidin, Intan Zarina |
author_sort | Zainal Ariffin, Shahrul Hisham |
collection | PubMed |
description | BACKGROUND: There have been promising results published regarding the potential of stem cells in regenerative medicine. However, the vast variety of choices of techniques and the lack of a standard approach to analyse human osteoblast and osteoclast differentiation may reduce the utility of stem cells as a tool in medical applications. Therefore, this review aims to systematically evaluate the findings based on stem cell differentiation to define a standard gene expression profile approach. METHODS: This review was performed following the PRISMA guidelines. A systematic search of the study was conducted by retrieving articles from the electronic databases PubMed and Web of Science to identify articles focussed on gene expression and approaches for osteoblast and osteoclast differentiation. RESULTS: Six articles were included in this review; there were original articles of in vitro human stem cell differentiation into osteoblasts and osteoclasts that involved gene expression profiling. Quantitative polymerase chain reaction (qPCR) was the most used technique for gene expression to detect differentiated human osteoblasts and osteoclasts. A total of 16 genes were found to be related to differentiating osteoblast and osteoclast differentiation. CONCLUSION: Qualitative information of gene expression provided by qPCR could become a standard technique to analyse the differentiation of human stem cells into osteoblasts and osteoclasts rather than evaluating relative gene expression. RUNX2 and CTSK could be applied to detect osteoblasts and osteoclasts, respectively, while RANKL could be applied to detect both osteoblasts and osteoclasts. This review provides future researchers with a central source of relevant information on the vast variety of gene expression approaches in analysing the differentiation of human osteoblast and osteoclast cells. In addition, these findings should enable researchers to conduct accurately and efficiently studies involving isolated human stem cell differentiation into osteoblasts and osteoclasts. |
format | Online Article Text |
id | pubmed-9583853 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95838532022-10-21 Gene expression profiles for in vitro human stem cell differentiation into osteoblasts and osteoclasts: a systematic review Zainal Ariffin, Shahrul Hisham Lim, Ker Wei Megat Abdul Wahab, Rohaya Zainal Ariffin, Zaidah Rus Din, Rus Dina Shahidan, Muhammad Ashraf Johari, Anis Nabilah Zainol Abidin, Intan Zarina PeerJ Biochemistry BACKGROUND: There have been promising results published regarding the potential of stem cells in regenerative medicine. However, the vast variety of choices of techniques and the lack of a standard approach to analyse human osteoblast and osteoclast differentiation may reduce the utility of stem cells as a tool in medical applications. Therefore, this review aims to systematically evaluate the findings based on stem cell differentiation to define a standard gene expression profile approach. METHODS: This review was performed following the PRISMA guidelines. A systematic search of the study was conducted by retrieving articles from the electronic databases PubMed and Web of Science to identify articles focussed on gene expression and approaches for osteoblast and osteoclast differentiation. RESULTS: Six articles were included in this review; there were original articles of in vitro human stem cell differentiation into osteoblasts and osteoclasts that involved gene expression profiling. Quantitative polymerase chain reaction (qPCR) was the most used technique for gene expression to detect differentiated human osteoblasts and osteoclasts. A total of 16 genes were found to be related to differentiating osteoblast and osteoclast differentiation. CONCLUSION: Qualitative information of gene expression provided by qPCR could become a standard technique to analyse the differentiation of human stem cells into osteoblasts and osteoclasts rather than evaluating relative gene expression. RUNX2 and CTSK could be applied to detect osteoblasts and osteoclasts, respectively, while RANKL could be applied to detect both osteoblasts and osteoclasts. This review provides future researchers with a central source of relevant information on the vast variety of gene expression approaches in analysing the differentiation of human osteoblast and osteoclast cells. In addition, these findings should enable researchers to conduct accurately and efficiently studies involving isolated human stem cell differentiation into osteoblasts and osteoclasts. PeerJ Inc. 2022-10-17 /pmc/articles/PMC9583853/ /pubmed/36275474 http://dx.doi.org/10.7717/peerj.14174 Text en ©2022 Zainal Ariffin et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Biochemistry Zainal Ariffin, Shahrul Hisham Lim, Ker Wei Megat Abdul Wahab, Rohaya Zainal Ariffin, Zaidah Rus Din, Rus Dina Shahidan, Muhammad Ashraf Johari, Anis Nabilah Zainol Abidin, Intan Zarina Gene expression profiles for in vitro human stem cell differentiation into osteoblasts and osteoclasts: a systematic review |
title | Gene expression profiles for in vitro human stem cell differentiation into osteoblasts and osteoclasts: a systematic review |
title_full | Gene expression profiles for in vitro human stem cell differentiation into osteoblasts and osteoclasts: a systematic review |
title_fullStr | Gene expression profiles for in vitro human stem cell differentiation into osteoblasts and osteoclasts: a systematic review |
title_full_unstemmed | Gene expression profiles for in vitro human stem cell differentiation into osteoblasts and osteoclasts: a systematic review |
title_short | Gene expression profiles for in vitro human stem cell differentiation into osteoblasts and osteoclasts: a systematic review |
title_sort | gene expression profiles for in vitro human stem cell differentiation into osteoblasts and osteoclasts: a systematic review |
topic | Biochemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9583853/ https://www.ncbi.nlm.nih.gov/pubmed/36275474 http://dx.doi.org/10.7717/peerj.14174 |
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