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Progress and pitfalls of using isobaric mass tags for proteome profiling.
Expert Review of Proteomics ( IF 3.8 ) Pub Date : 2020-02-20 , DOI: 10.1080/14789450.2020.1731309
Loïc Dayon 1, 2 , Michael Affolter 1
Affiliation  

Introduction: Quantitative proteomics using mass spectrometry is performed via label-free or label-based approaches. Labeling strategies rely on the incorporation of stable heavy isotopes by metabolic, enzymatic, or chemical routes. Isobaric labeling uses chemical labels of identical masses but of different fragmentation behaviors to allow the relative quantitative comparison of peptide/protein abundances between biological samples.Areas covered: We have carried out a systematic review on the use of isobaric mass tags in proteomic research since their inception in 2003. We focused on their quantitative performances, their multiplexing evolution, as well as their broad use for relative quantification of proteins in pre-clinical models and clinical studies. Current limitations, primarily linked to the quantitative ratio distortion, as well as state-of-the-art and emerging solutions to improve their quantitative readouts are discussed.Expert opinion: The isobaric mass tag technology offers a unique opportunity to compare multiple protein samples simultaneously, allowing higher sample throughput and internal relative quantification for improved trueness and precision. Large studies can be performed when shared reference samples are introduced in multiple experiments. The technology is well suited for proteome profiling in the context of proteomic discovery studies.

中文翻译:

使用等压质量标签进行蛋白质组图谱分析的进展和陷阱。

简介:使用质谱的定量蛋白质组学是通过无标记或基于标记的方法进行的。标记策略依赖于通过代谢,酶促或化学途径掺入稳定的重同位素。等压标记使用质量相同但片段化行为不同的化学标记,以便相对定量比较生物样品之间的肽/蛋白质丰度。涵盖的领域:自从蛋白质组学研究以来,我们对等压质量标签的使用进行了系统的综述成立于2003年。我们专注于其定量性能,其多重进化以及它们在临床前模型和临床研究中相对定量蛋白质的广泛应用。当前的限制,主要与量化比率失真有关,专家意见:等压质量标签技术提供了一次独特的机会,可以同时比较多个蛋白质样品,从而实现更高的样品通量和内部相对定量,从而提高检测效率。真实性和准确性。当在多个实验中引入共享参考样品时,可以进行大型研究。该技术非常适合在蛋白质组发现研究中进行蛋白质组分析。允许更高的样品通量和内部相对定量,以提高真实性和精确度。当在多个实验中引入共享参考样品时,可以进行大型研究。该技术非常适合蛋白质组发现研究中的蛋白质组分析。允许更高的样品通量和内部相对定量,以提高真实性和精确度。当在多个实验中引入共享参考样品时,可以进行大型研究。该技术非常适合在蛋白质组发现研究中进行蛋白质组分析。
更新日期:2020-04-20
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