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An economic and robust TMT labeling approach for high throughput proteomic and metaproteomic analysis

Marybeth Creskey, Leyuan Li, Zhibin Ning, Emily EF Brown, Janice Mayne, Krystal Walker, Anna Ampaw, Robert Ben, Xu Zhang, Daniel Figeys
doi: https://doi.org/10.1101/2022.07.30.502163
Marybeth Creskey
aRegulatory Research Division, Centre for Oncology, Radiopharmaceuticals and Research, Biologic and Radiopharmaceutical Drugs Directorate, Health Products and Food Branch, Health Canada, Ottawa, Canada
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Leyuan Li
bSchool of Pharmaceutical Sciences, Ottawa Institute of Systems Biology and Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Canada
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Zhibin Ning
bSchool of Pharmaceutical Sciences, Ottawa Institute of Systems Biology and Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Canada
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Emily EF Brown
aRegulatory Research Division, Centre for Oncology, Radiopharmaceuticals and Research, Biologic and Radiopharmaceutical Drugs Directorate, Health Products and Food Branch, Health Canada, Ottawa, Canada
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Janice Mayne
bSchool of Pharmaceutical Sciences, Ottawa Institute of Systems Biology and Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Canada
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Krystal Walker
bSchool of Pharmaceutical Sciences, Ottawa Institute of Systems Biology and Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Canada
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Anna Ampaw
cDepartment of Chemistry, Faculty of Science, University of Ottawa, Ottawa, Canada
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Robert Ben
cDepartment of Chemistry, Faculty of Science, University of Ottawa, Ottawa, Canada
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Xu Zhang
aRegulatory Research Division, Centre for Oncology, Radiopharmaceuticals and Research, Biologic and Radiopharmaceutical Drugs Directorate, Health Products and Food Branch, Health Canada, Ottawa, Canada
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  • For correspondence: dfigeys@uottawa.ca xu.zhang@hc-sc.gc.ca
Daniel Figeys
bSchool of Pharmaceutical Sciences, Ottawa Institute of Systems Biology and Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Canada
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  • For correspondence: dfigeys@uottawa.ca xu.zhang@hc-sc.gc.ca
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Abstract

Multiplexed quantitative proteomics using tandem mass tag (TMT) is increasingly used in –omic study of complex samples. While TMT-based proteomics has the advantages of the higher quantitative accuracy, fewer missing values, and reduced instrument analysis time, it is limited by the increased cost due to the use of labeling reagents. In addition, current TMT labeling workflows involve repeated small volume pipetting of reagents in volatile organic solvents, which may increase the sample-to-sample variations and is not readily suitable for high throughput applications. In this study, we demonstrated that the TMT labeling procedures could be streamlined by using pre-aliquoted dry TMT reagents in a 96 well plate or 12-tube strip. As little as 50 μg dry TMT per channel effectively labels 6-12 μg peptides, yielding efficient TMT labeling efficiency (∼99%) in both microbiome and mammalian cell line samples. This streamlined workflow decreases reagent loss and reduces inter-sample variations. We applied this workflow to analyze 97 samples in a study to evaluate whether ice recrystallization inhibitors improve the cultivability and activity of frozen microbiota. The results demonstrated tight sample clustering corresponding to groups and consistent microbiome responses to prebiotic treatments. This study supports the use of TMT reagents that are pre-aliquoted, dried, and stored for streamlined and robust quantitative proteomics and metaproteomics in high throughput applications.

Competing Interest Statement

The authors have declared no competing interest.

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Posted August 02, 2022.
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An economic and robust TMT labeling approach for high throughput proteomic and metaproteomic analysis
Marybeth Creskey, Leyuan Li, Zhibin Ning, Emily EF Brown, Janice Mayne, Krystal Walker, Anna Ampaw, Robert Ben, Xu Zhang, Daniel Figeys
bioRxiv 2022.07.30.502163; doi: https://doi.org/10.1101/2022.07.30.502163
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An economic and robust TMT labeling approach for high throughput proteomic and metaproteomic analysis
Marybeth Creskey, Leyuan Li, Zhibin Ning, Emily EF Brown, Janice Mayne, Krystal Walker, Anna Ampaw, Robert Ben, Xu Zhang, Daniel Figeys
bioRxiv 2022.07.30.502163; doi: https://doi.org/10.1101/2022.07.30.502163

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