高通量组学技术在尘螨研究中的应用进展

刘娜娜; 崔玉宝; 叶林华; 黄路圣

doi:10.12140/j.issn.1000-7423.2020.05.018

中国寄生虫学与寄生虫病杂志 >

2020 , Vol. 38 >Issue 5: 642 - 646

DOI: https://doi.org/10.12140/j.issn.1000-7423.2020.05.018

综述

高通量组学技术在尘螨研究中的应用进展

刘娜娜 ,
崔玉宝 ,
叶林华 ,
黄路圣

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1 蚌埠医学院附属泰兴市人民医院,泰州 225400
2 南京医科大学附属无锡市人民医院检验科,无锡 214023

刘娜娜（1991-）,硕士研究生,医师,从事尘螨与过敏性疾病研究。E-mail:876636493@qq.com

收稿日期: 2020-01-09

网络出版日期: 2020-11-12

基金资助

国家自然科学基金(NSFC81971511);国家自然科学基金(NSFC31572319);江苏省第五期“333工程”科研项目(BRA2017216);江苏省重点研发计划(BE2018627);无锡市卫计委重大课题(Z201701)

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Applications of high-throughput omics technology in research on dust mite

Na-na LIU ,
Yu-bao CUI ,
Lin-hua YE ,
Lu-sheng HUANG

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1 Taixing People’s Hospital Affiliated to Bengbu Medical College, Taizhou 225400, China
2 Department of Clinical Laboratory, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi 214023, China

Received date: 2020-01-09

Online published: 2020-11-12

Supported by

National Natural Science Foundation of China(NSFC81971511);National Natural Science Foundation of China(NSFC31572319);333 Project of Jiangsu Province in 2017(BRA2017216);Primary Research & Development Plan of Jiangsu Province(BE2018627);Major Program of Wuxi Health and Family Planning Commission(Z201701)

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摘要

尘螨是全球最常见的吸入性变应原之一。近20年来,尘螨过敏的患病率呈上升趋势。随着后基因时代的到来,生命科学研究进入到系统、全面、动态的探索阶段。高通量组学采用测序技术从基因、蛋白质等层面对样品进行全面系统的分析和数据挖掘,解释生物学过程的内在机制。本文对尘螨基因组、转录组、蛋白质组、微生物组等4个方面的进展进行综述,为进一步深入研究尘螨过敏原与过敏性疾病、开发新的防治策略提供思路。

关键词： 尘螨; 过敏原组学; 基因组; 转录组; 蛋白质组; 微生物组

本文引用格式

刘娜娜 , 崔玉宝 , 叶林华 , 黄路圣 . 高通量组学技术在尘螨研究中的应用进展[J]. 中国寄生虫学与寄生虫病杂志, 2020 , 38(5) : 642 -646 . DOI: 10.12140/j.issn.1000-7423.2020.05.018

Abstract

House dust mites are one of the most common inhaled allergens worldwide. Since the last 20 years, the prevalence of dust mite allergy has shown a trend of increase. With the advent of the post-genome age, research in life sciences has entered a new stage of systematic, comprehensive and dynamic exploration. High-throughput omics technology has been applied to comprehensively analyze samples at the gene and/or protein levels by sequencing for data mining, and interpreting intrinsic mechanisms of biological processes. This paper reviews the advance in application of high-throughput omics in the genomics, transcriptomics, proteomics and microbiology of dust mites, providing ideas forfurther research on dust mite allergens and allergic diseases and for the development of new control strategies.

Key words： House dust mite; Allergenomics; Genome; Transcriptom; Proteom; Microbiome

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