Literature DB >> 33725447

Quantitative Top-Down Proteomics in Complex Samples Using Protein-Level Tandem Mass Tag Labeling.

Dahang Yu1, Zhe Wang1, Kellye A Cupp-Sutton1, Yanting Guo1, Qiang Kou2, Kenneth Smith3, Xiaowen Liu2, Si Wu1.   

Abstract

Labeling approaches using isobaric chemical tags (e.g., isobaric tagging for relative and absolute quantification, iTRAQ and tandem mass tag, TMT) have been widely applied for the quantification of peptides and proteins in bottom-up MS. However, until recently, successful applications of these approaches to top-down proteomics have been limited because proteins tend to precipitate and "crash" out of solution during TMT labeling of complex samples making the quantification of such samples difficult. In this study, we report a top-down TMT MS platform for confidently identifying and quantifying low molecular weight intact proteoforms in complex biological samples. To reduce the sample complexity and remove large proteins from complex samples, we developed a filter-SEC technique that combines a molecular weight cutoff filtration step with high-performance size exclusion chromatography (SEC) separation. No protein precipitation was observed in filtered samples under the intact protein-level TMT labeling conditions. The proposed top-down TMT MS platform enables high-throughput analysis of intact proteoforms, allowing for the identification and quantification of hundreds of intact proteoforms from Escherichia coli cell lysates. To our knowledge, this represents the first high-throughput TMT labeling-based, quantitative, top-down MS analysis suitable for complex biological samples.

Entities:  

Keywords:  isobaric labeling; liquid chromatography; mass spectrometry; quantitative proteomics; tandem mass tags (TMT); top-down proteomics

Mesh:

Substances:

Year:  2021        PMID: 33725447      PMCID: PMC8323476          DOI: 10.1021/jasms.0c00464

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  48 in total

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  2 in total

1.  Optimization of protein-level tandem mass tag (TMT) labeling conditions in complex samples with top-down proteomics.

Authors:  Yanting Guo; Dahang Yu; Kellye A Cupp-Sutton; Xiaowen Liu; Si Wu
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2.  Proteoform-Selective Imaging of Tissues Using Mass Spectrometry.

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