Literature DB >> 30267307

Selection of Suitable Reference Genes for Quantitative Real-Time PCR Normalization in Human Stem Cell Research.

Fatma Betül Ayanoğlu1, Ayşe Eser Elçin1, Yaşar Murat Elçin2,3.   

Abstract

Quantitative real-time polymerase chain reaction (qRT-PCR) is a widely utilized method for evaluating the gene expressions in stem cell research. This method enables researchers to obtain fast and precise results, but the accuracy of the data depends on certain factors, such as those associated with biological sample preparation and PCR efficiency. In order to achieve accurate and reliable results, it is of utmost importance to designate the reference genes, the expressions of which are suitable to all kinds of experimental conditions. Hence it is vital to normalize the qRT-PCR data by using the reference genes. In recent years, it has been found that the expression levels of reference genes widely used in stem cell research present a substantial amount of variation and are not necessarily suitable for normalization. This chapter at hand stresses the significance of selecting suitable reference genes from the point view of human stem cell research.

Entities:  

Keywords:  Housekeeping genes; Human; Reference genes; Stem cells; qRT-PCR; qRT-PCR normalization

Mesh:

Year:  2018        PMID: 30267307     DOI: 10.1007/5584_2018_277

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  2 in total

1.  Evaluation of the stability of standard reference genes of adipose-derived mesenchymal stem cells during in vitro proliferation and differentiation.

Authors:  Fatma Betül Ayanoğlu; Ayşe Eser Elçin; Yaşar Murat Elçin
Journal:  Mol Biol Rep       Date:  2020-02-17       Impact factor: 2.316

2.  Persimmon-derived tannin ameliorates the pathogenesis of ulcerative colitis in a murine model through inhibition of the inflammatory response and alteration of microbiota.

Authors:  Masahiro Kitabatake; Yoko Matsumura; Noriko Ouji-Sageshima; Tatsuki Nishioka; Atsushi Hara; Shin-Ichi Kayano; Toshihiro Ito
Journal:  Sci Rep       Date:  2021-03-31       Impact factor: 4.379

  2 in total

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