用于微蛋白质组学的液滴微流控质谱技术

IF 10.1 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Engineering Pub Date : 2024-09-06 DOI:10.1016/j.eng.2024.08.018
Hang Li, Yudan Ma, Rongxin Fu, Jiaxi Peng, Yanbing Zhai, Jinhua Li, Wei Xu, Siyi Hu, Hanbin Ma, Aaron R. Wheeler, Shuailong Zhang
{"title":"用于微蛋白质组学的液滴微流控质谱技术","authors":"Hang Li, Yudan Ma, Rongxin Fu, Jiaxi Peng, Yanbing Zhai, Jinhua Li, Wei Xu, Siyi Hu, Hanbin Ma, Aaron R. Wheeler, Shuailong Zhang","doi":"10.1016/j.eng.2024.08.018","DOIUrl":null,"url":null,"abstract":"Microproteomics, the profiling of protein expressions in small cell populations or individual cells, is essential for understanding complex biological systems. However, sample loss and insufficient sensitivity of analytical techniques pose severe challenges to this field. Microfluidics, particularly droplet-based microfluidics, provides an ideal approach by enabling miniaturized and integrated workflows to process samples and offers several advantages, including reduced sample loss, low reagent consumption, faster reaction times, and improved throughput. Droplet-based microfluidics manipulates droplets of fluids to function as discrete reaction units, enabling complex chemical reactions and biological workflows in a miniaturized setting. This article discusses a variety of on-chip functions of droplet-based microfluidics, including cell sorting, cell culture, and sample processing. We then highlight recent advances in the mass spectrometry (MS)-based analysis of single cells using droplet-based microfluidic platforms, including digital microfluidics (DMF). Finally, we review the integrated DMF–MS systems that enable automated and parallel proteomic profiling of single cells with high sensitivity and discuss the applications of the technology and its future perspectives.","PeriodicalId":11783,"journal":{"name":"Engineering","volume":null,"pages":null},"PeriodicalIF":10.1000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Droplet-Based Microfluidics with Mass Spectrometry for Microproteomics\",\"authors\":\"Hang Li, Yudan Ma, Rongxin Fu, Jiaxi Peng, Yanbing Zhai, Jinhua Li, Wei Xu, Siyi Hu, Hanbin Ma, Aaron R. Wheeler, Shuailong Zhang\",\"doi\":\"10.1016/j.eng.2024.08.018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Microproteomics, the profiling of protein expressions in small cell populations or individual cells, is essential for understanding complex biological systems. However, sample loss and insufficient sensitivity of analytical techniques pose severe challenges to this field. Microfluidics, particularly droplet-based microfluidics, provides an ideal approach by enabling miniaturized and integrated workflows to process samples and offers several advantages, including reduced sample loss, low reagent consumption, faster reaction times, and improved throughput. Droplet-based microfluidics manipulates droplets of fluids to function as discrete reaction units, enabling complex chemical reactions and biological workflows in a miniaturized setting. This article discusses a variety of on-chip functions of droplet-based microfluidics, including cell sorting, cell culture, and sample processing. We then highlight recent advances in the mass spectrometry (MS)-based analysis of single cells using droplet-based microfluidic platforms, including digital microfluidics (DMF). Finally, we review the integrated DMF–MS systems that enable automated and parallel proteomic profiling of single cells with high sensitivity and discuss the applications of the technology and its future perspectives.\",\"PeriodicalId\":11783,\"journal\":{\"name\":\"Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":10.1000,\"publicationDate\":\"2024-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1016/j.eng.2024.08.018\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1016/j.eng.2024.08.018","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

微观蛋白质组学是对小细胞群或单个细胞中蛋白质表达情况的分析,对于了解复杂的生物系统至关重要。然而,样品丢失和分析技术灵敏度不足给这一领域带来了严峻挑战。微流控技术,尤其是基于液滴的微流控技术,提供了一种理想的方法,它实现了样品处理工作流程的微型化和集成化,并具有多种优势,包括减少样品损失、降低试剂消耗、加快反应时间和提高通量。基于液滴的微流控技术可将液滴作为离散反应单元进行操作,从而在微型化环境中实现复杂的化学反应和生物工作流程。本文讨论了液滴微流体技术的各种片上功能,包括细胞分拣、细胞培养和样品处理。然后,我们重点介绍了利用液滴微流控平台(包括数字微流控(DMF))进行基于质谱(MS)的单细胞分析的最新进展。最后,我们回顾了实现高灵敏度单细胞自动并行蛋白质组分析的 DMF-MS 集成系统,并讨论了该技术的应用及其未来前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Droplet-Based Microfluidics with Mass Spectrometry for Microproteomics
Microproteomics, the profiling of protein expressions in small cell populations or individual cells, is essential for understanding complex biological systems. However, sample loss and insufficient sensitivity of analytical techniques pose severe challenges to this field. Microfluidics, particularly droplet-based microfluidics, provides an ideal approach by enabling miniaturized and integrated workflows to process samples and offers several advantages, including reduced sample loss, low reagent consumption, faster reaction times, and improved throughput. Droplet-based microfluidics manipulates droplets of fluids to function as discrete reaction units, enabling complex chemical reactions and biological workflows in a miniaturized setting. This article discusses a variety of on-chip functions of droplet-based microfluidics, including cell sorting, cell culture, and sample processing. We then highlight recent advances in the mass spectrometry (MS)-based analysis of single cells using droplet-based microfluidic platforms, including digital microfluidics (DMF). Finally, we review the integrated DMF–MS systems that enable automated and parallel proteomic profiling of single cells with high sensitivity and discuss the applications of the technology and its future perspectives.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Engineering
Engineering Environmental Science-Environmental Engineering
自引率
1.60%
发文量
335
审稿时长
35 days
期刊介绍: Engineering, an international open-access journal initiated by the Chinese Academy of Engineering (CAE) in 2015, serves as a distinguished platform for disseminating cutting-edge advancements in engineering R&D, sharing major research outputs, and highlighting key achievements worldwide. The journal's objectives encompass reporting progress in engineering science, fostering discussions on hot topics, addressing areas of interest, challenges, and prospects in engineering development, while considering human and environmental well-being and ethics in engineering. It aims to inspire breakthroughs and innovations with profound economic and social significance, propelling them to advanced international standards and transforming them into a new productive force. Ultimately, this endeavor seeks to bring about positive changes globally, benefit humanity, and shape a new future.
期刊最新文献
Digital Twins for Engineering Asset Management: Synthesis, Analytical Framework, and Future Directions Understanding the Resilience of Urban Rail Transit: Concepts, Reviews, and Trends Direct Ethylene Purification from Cracking Gas via a Metal–Organic Framework Through Pore Geometry Fitting Utilization of Bubbles and Oil for Microplastic Capture from Water Robust, Flexible, and Superhydrophobic Fabrics for High-Efficiency and Ultrawide-Band Microwave Absorption
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1