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  1. Ishar SM, Parameswaran K, Masduki NS, Rus Din RD
    PMID: 31709874 DOI: 10.1080/24701394.2019.1687693
    DNA variations are alterations found in DNA sequence, occurring in both nuclear DNA and mitochondrial DNA. Variations might differ in individual following population, respectively. The aim of this study was to find variations in target sequence of mtDNA (16000-16200) to be used as marker in Malay and Chinese population. A total of 30 buccal swab samples from 20 Malay and 10 Chinese subjects were collected and preserved on FTA card. The FTA card that contained DNA sample was punched to be included into polymerase chain reaction mixture. Amplification was carried out and the products were sequenced. Sequence variations were found in both Malay and Chinese populations. A total of nine variations (16129, 16108, 16162, 16172, 16148, 16127, 16173, 16099 and 16100) were found in Malay population while a total of seven variations (16129, 16104, 16111, 16109, 16164, 16170 and 16136) were found in Chinese population. Nucleotide position 16129 was found as variation in both Malay and Chinese populations. This study implies that np 16129 can be used as a marker for Malaysian population. For further investigation, the length of the target sequence may be increased to obtain more variations that can be used as markers. This will increase the discrimination power of Malaysian population.
  2. Zainal Ariffin SH, Lim KW, Megat Abdul Wahab R, Zainal Ariffin Z, Rus Din RD, Shahidan MA, et al.
    PeerJ, 2022;10:e14174.
    PMID: 36275474 DOI: 10.7717/peerj.14174
    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.

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