[Development of Multiplex Real-Time RT-PCR to Determine the Expression Levels of Toll-Like Receptor Genes].

Q3 Medicine
S A Salamaikina, V I Korchagin, K O Mironov
{"title":"[Development of Multiplex Real-Time RT-PCR to Determine the Expression Levels of Toll-Like Receptor Genes].","authors":"S A Salamaikina, V I Korchagin, K O Mironov","doi":"10.31857/S0026898425010129, EDN: HBYTDP","DOIUrl":null,"url":null,"abstract":"<p><p>Immune response gene expression analysis is an important task in studies of interactions between a host and an infectious agent. Many approaches to this task have been developed, but despite significant progress, the problem of selecting a single standard for data normalization remains unsolved. In the present work, HPRT1, SDHA, GAPDH, and TBP were selected as candidate reference genes with stable expression, and a system based on multiplex real-time RT-PCR was developed for their analysis. Calculations using the geNorm and BestKeeper algorithms made it possible to create a stable index based on two genes, HPRT1 and SDHA. The index was used to normalize the expression levels of the target Toll-like receptor genes (TLRs) TLR1, TLR2, TLR4, TLR6, and TLR8. A high stability and positive mutual correlations were observed for expression values of the TLR genes (except TLR6) in a sample of healthy individuals. The finding suggested common mechanisms of expression regulation and confirmed that the multiplex system is suitable for analyzing expression of immune response genes.</p>","PeriodicalId":39818,"journal":{"name":"Molekulyarnaya Biologiya","volume":"59 1","pages":"162-172"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molekulyarnaya Biologiya","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31857/S0026898425010129, EDN: HBYTDP","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Immune response gene expression analysis is an important task in studies of interactions between a host and an infectious agent. Many approaches to this task have been developed, but despite significant progress, the problem of selecting a single standard for data normalization remains unsolved. In the present work, HPRT1, SDHA, GAPDH, and TBP were selected as candidate reference genes with stable expression, and a system based on multiplex real-time RT-PCR was developed for their analysis. Calculations using the geNorm and BestKeeper algorithms made it possible to create a stable index based on two genes, HPRT1 and SDHA. The index was used to normalize the expression levels of the target Toll-like receptor genes (TLRs) TLR1, TLR2, TLR4, TLR6, and TLR8. A high stability and positive mutual correlations were observed for expression values of the TLR genes (except TLR6) in a sample of healthy individuals. The finding suggested common mechanisms of expression regulation and confirmed that the multiplex system is suitable for analyzing expression of immune response genes.

多重实时RT-PCR检测toll样受体基因表达水平的研究进展
免疫反应基因表达分析是研究宿主与感染因子相互作用的重要内容。已经开发了许多方法来完成这项任务,但是尽管取得了重大进展,为数据规范化选择单一标准的问题仍然没有解决。本研究选择HPRT1、SDHA、GAPDH和TBP作为稳定表达的候选内参基因,建立了基于多重实时RT-PCR的系统对其进行分析。使用geNorm和BestKeeper算法进行计算,可以基于两个基因HPRT1和SDHA创建一个稳定的索引。该指数用于标准化靶toll样受体基因(TLRs) TLR1、TLR2、TLR4、TLR6和TLR8的表达水平。在健康人群中,TLR基因(TLR6除外)的表达值具有高度的稳定性和正相关关系。这一发现提示了共同的表达调控机制,并证实了多重系统适用于分析免疫应答基因的表达。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Molekulyarnaya Biologiya
Molekulyarnaya Biologiya Medicine-Medicine (all)
CiteScore
0.70
自引率
0.00%
发文量
131
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信