• Title/Summary/Keyword: Real-time Quantitative Polymerase Chain Reaction Detecting System

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Expression of fox-related genes in the skin follicles of Inner Mongolia cashmere goat

  • Han, Wenjing;Li, Xiaoyan;Wang, Lele;Wang, Honghao;Yang, Kun;Wang, Zhixin;Wang, Ruijun;Su, Rui;Liu, Zhihong;Zhao, Yanhong;Zhang, Yanjun;Li, Jinquan
    • Asian-Australasian Journal of Animal Sciences
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    • v.31 no.3
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    • pp.316-326
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    • 2018
  • Objective: This study investigated the expression of genes in cashmere goats at different periods of their fetal development. Methods: Bioinformatics analysis was used to evaluate data obtained by transcriptome sequencing of fetus skin samples collected from Inner Mongolia cashmere goats on days 45, 55, and 65 of fetal age. Results: We found that FoxN1, FoxE1, and FoxI3 genes of the Fox gene family were probably involved in the growth and development of the follicle and the formation of hair, which is consistent with previous findings. Real-time quantitative polymerase chain reaction detecting system and Western blot analysis were employed to study the relative differentially expressed genes FoxN1, FoxE1, and FoxI3 in the body skin of cashmere goat fetuses and adult individuals. Conclusion: This study provided new fundamental information for further investigation of the genes related to follicle development and exploration of their roles in hair follicle initiation, growth, and development.

Development of an Automatic PCR System Combined with Magnetic Bead-based Viral RNA Concentration and Extraction

  • MinJi Choi;Won Chang Cho;Seung Wook Chung;Daehong Kim;Il-Hoon Cho
    • Biomedical Science Letters
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    • v.29 no.4
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    • pp.363-370
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    • 2023
  • Human respiratory viral infections such as COVID-19 are highly contagious, so continuous management of airborne viruses is essential. In particular, indoor air monitoring is necessary because the risk of infection increases in poorly ventilated indoors. However, the current method of detecting airborne viruses requires a lot of time from sample collection to confirmation of results. In this study, we proposed a system that can monitor airborne viruses in real time to solve the deficiency of the present method. Air samples were collected in liquid form through a bio sampler, in which case the virus is present in low concentrations. To detect viruses from low-concentration samples, viral RNA was concentrated and extracted using silica-magnetic beads. RNA binds to silica under certain conditions, and by repeating this binding reaction, bulk samples collected from the air can be concentrated. After concentration and extraction, viral RNA is specifically detected through real-time qPCR (quantitative polymerase chain reaction). In addition, based on liquid handling technology, we have developed an automatic machine that automatically performs the entire testing process and can be easily used even by non-experts. To evaluate the system, we performed air sample collection and automated testing using bacteriophage MS2 as a model virus. As a result, the air-collected samples concentrated by 45 times then initial volume, and the detection sensitivity of PCR also confirmed a corresponding improvement.