Xu Zhang
Adjunct Professor
Research Interests
Explore related searches
Contact this professor
Get a free first email built on one of their papers, ready for you to edit and send yourself.
About
Xu Zhang is an Adjunct Professor at the University of Ottawa, Canada. His research focuses on metaproteomics, with recent publications addressing the functional and taxonomic relationships within microbiomes, colorectal cancer cell differentiation models, and the development of innovative proteomic analysis techniques. Notable contributions include the Operational Taxon-Function Framework and advancements in high-throughput assays for studying the human gut microbiome's response to xenobiotics.
Articles (11)
Year:
2025
Year:
2024
Year:
2024
Year:
2024
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 additional reagent cost. In addition, current TMT labeling workflows involve repeated small volume pipetting of reagents in volatile 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 was used to label 6–12 μg peptides, yielding high TMT labeling efficiency (∼99%) in both microbiome and mammalian cell line samples. 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 robust quantitative proteomics and metaproteomics in high throughput applications.
Year:
2023
Year:
2023
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Year:
2021
Collaborators (4)
Daniel Figeys
-
Ewelina Wójcik
Head of R&D
-
Zhibin Ning
University of Ottawa
Qing Wu
University of Ottawa
Make your next move.
Prepare your application
Review drafts before you send them.