scholarly journals A beginner’s guide to mass spectrometry–based proteomics

2020 ◽  
Vol 42 (5) ◽  
pp. 64-69
Author(s):  
Ankit Sinha ◽  
Matthias Mann

Mass spectrometry (MS)-based proteomics is the most comprehensive approach for the quantitative profiling of proteins, their interactions and modifications. It is a challenging topic as a firm grasp requires expertise in biochemistry for sample preparation, analytical chemistry for instrumentation and computational biology for data analysis. In this short guide, we highlight the various components of a mass spectrometer, the sample preparation process for conversion of proteins into peptides, and quantification and analysis strategies. The advancing technology of MS-based proteomics now opens up opportunities in clinical applications and single-cell analysis.

The Analyst ◽  
2019 ◽  
Vol 144 (3) ◽  
pp. 872-891 ◽  
Author(s):  
Emily E. Kempa ◽  
Katherine A. Hollywood ◽  
Clive A. Smith ◽  
Perdita E. Barran

We review the state of the art in HTS using mass spectrometry with minimal sample preparation from complex biological matrices. We focus on industrial and biotechnological applications.


Author(s):  
Dinesh K. Patel ◽  
Sayan Deb Dutta ◽  
Ki-Taek Lim

2017 ◽  
Vol 90 ◽  
pp. 14-26 ◽  
Author(s):  
Yunyun Yang ◽  
Yanying Huang ◽  
Junhui Wu ◽  
Ning Liu ◽  
Jiewei Deng ◽  
...  

2014 ◽  
Vol 86 (8) ◽  
pp. 3809-3816 ◽  
Author(s):  
Xiaoyun Gong ◽  
Yaoyao Zhao ◽  
Shaoqing Cai ◽  
Shujie Fu ◽  
Chengdui Yang ◽  
...  

Author(s):  
Luis F. Schachner ◽  
Alexander S. Lee ◽  
Neil L. Kelleher

Abstract The disassembly and digestion of nucleosome particles in current proteomics approaches forfeits correlations among histones and blurs nucleosome-level information. We developed Nuc-MS which analyzes whole nucleosomes and displays their histone modifications and variants in a single mass spectrum. In this protocol, we provide step-by-step instructions for preparation of mononucleosomes for mass spectrometry (MS) analysis, and parameter sets for Nuc-MS data acquisition and data analysis.


2021 ◽  
Author(s):  
E. Celeste Welch ◽  
Anubhav Tripathi

While sample preparation techniques for the chemical and biochemical analysis of tissues are fairly well advanced, the preparation of complex, heterogenous samples for single-cell analysis can be difficult and challenging. Nevertheless, there is growing interest in preparing complex cellular samples, particularly tissues, for analysis via single-cell resolution techniques such as single-cell sequencing or flow cytometry. Recent microfluidic tissue dissociation approaches have helped to expedite the preparation of single cells from tissues through the use of optimized, controlled mechanical forces. Cell sorting and selective cellular recovery from heterogenous samples have also gained traction in biosensors, microfluidic systems, and other diagnostic devices. Together, these recent developments in tissue disaggregation and targeted cellular retrieval have contributed to the development of increasingly streamlined sample preparation workflows for single-cell analysis technologies, which minimize equipment requirements, enable lower processing times and costs, and pave the way for high-throughput, automated technologies. In this chapter, we survey recent developments and emerging trends in this field.


2019 ◽  
Vol 10 (1) ◽  
pp. 429-455 ◽  
Author(s):  
Bing Shao ◽  
Hui Li ◽  
Jianzhong Shen ◽  
Yongning Wu

Nontargeted workflows for chemical hazard analyses are highly desirable in the food safety and integrity fields to ensure human health. Two different analytical strategies, nontargeted metabolomics and chemical database filtering, can be used to screen unknown contaminants in food matrices. Sufficient mass and chromatographic resolutions are necessary for the detection of compounds and subsequent componentization and interpretation of candidate ions. Analytical chemistry–based technologies, including gas chromatography–mass spectrometry (GC-MS), liquid chromatography–mass spectrometry (LC-MS), nuclear magnetic resonance (NMR), and capillary electrophoresis–mass spectrometry (CE-MS), combined with chemometrics analysis are being used to generate molecular formulas of compounds of interest. The construction of a chemical database plays a crucial role in nontargeted detection. This review provides an overview of the current sample preparation, analytical chemistry–based techniques, and data analysis as well as the limitations and challenges of nontargeted detection methods for analyzing complex food matrices. Improvements in sample preparation and analytical platforms may enhance the relevance of food authenticity, quality, and safety.


2021 ◽  
pp. 1033-1049
Author(s):  
Dinesh K. Patel ◽  
Sayan Deb Dutta ◽  
Ki-Taek Lim

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