bioRxiv · 10.1101/2020.10.15.340638
An improved comprehensive strategy for deep and quantitative N-glycomics based on optimization of sample preparation, isotope-based data quality control and quantification, new N-glycan libraries and new algorithms
Abstract
Withdrawal statement"The authors have withdrawn their manuscript because the authors need to re-organize the data and writing, meanwhile more experimental evidence from human cellular N-glycome will be added to support their viewpoints. In this preprint, only one human cell line, Acute Promyelocytic Leukemia (APL) cells, was deeply investigated to show the N-glycome landscape. To provide the shared features of human N-glycome, more human cells should be investigated. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author."
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Guan, Y., Hu, J., Cao, W., Cui, W., Yang, F., Krisp, C., Lin, L., Zhang, M., Voss, H., Schuster, R., Yan, G., Fuh, M. M., Thaysen-Andersen, M., H. Packer, N., Shen, H., Yang, P., Schlüter, H.. 2020-10-15. An improved comprehensive strategy for deep and quantitative N-glycomics based on optimization of sample preparation, isotope-based data quality control and quantification, new N-glycan libraries and new algorithms. https://doi.org/10.1101/2020.10.15.340638
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