MassIVE MSV000083570

Partial Public

An integrated strategy for high-sensitive and multi-level glycoproteome analysis from low micrograms of protein samples

Description

In this study, we aimed to develop a simple and integrated spintip-based glycoproteomics technology, termed Glyco-SISPROT, for challenging the lowest starting material limitation and achieving comprehensive view of glycoproteome with shortest sample processing time. By carefully integrating and optimizing SCX, C18 and Concanavalin A packing material and their combination in spintip format, both predigested peptides and protein lysates could be processed by Glyco-SISPROT with high efficiency. More importantly, deglycopeptide, intact glycopeptide and glycans released by multiple glycosidases could be readily collected from the same Glyco-SISPROT workflow for LC-MS analysis. To the best of our knowledge, this approach should be one of the most comprehensive glycoproteomic approach by using limited protein starting material. One significant benefit of Glyco-SISPROT is that whole processing time was dramatically reduced from a few days to only 6 hours with good reproducibility when protein lysates were directly processed by Glyco-SISPROT. [doi:10.25345/C5KG8N] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: glycoproteomics

Contact

Principal Investigators:
(in alphabetical order)
Ruijun Tian, SUSTech, China
Submitting User: Peiwu_1213
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Experimental Design
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Identification Results
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Quantification Results
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Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
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