Proteomics

Dataset Information

0

Profiling of a high mannose-type N-glycosylated lipase using hydrophilic interaction chromatography-mass spectrometry


ABSTRACT: We report the use of hydrophilic interaction liquid chromatography-mass spectrometry (HILIC-MS) to profile intact glycoform distributions of high mannose-type N-glycosylated proteins, using an industrially produced fungal lipase for the food industry as an example. We compared these results with conventional reversed phase LC-MS (RPLC-MS) and sodium dodecyl sulfate–polyacrylamide gel-electrophoresis (SDS-PAGE). HILIC appeared superior in resolving lipase heterogeneity, facilitating mass assignment of N-glycoforms and sequence variants. Fractions representing the four main HILIC elution bands for lipase were subjected to SDS-PAGE confirming that HILIC retention increased with the number of glycosylation sites (0-3) occupied. Additional bottom-up proteomic analysis of the fractions enabled the identification of the most abundant glycosylation sites. Compared to RPLC-MS, HILIC-MS provided a stronger reduction of the sample complexity delivered to the mass spectrometer, facilitating the assignment of the masses of glycoforms and sequence variants as well as increasing the number of glycoforms detected (69 more proteoforms, 177% increase). The HILIC-MS method required relatively short analysis time (< 30 min), in which over 100 glycoforms were distinguished. We suggest that HILIC-MS can be used to characterize bioengineering processes aimed at steering protein glycoform expression as well as to check the consistency of product batches.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Aspergillus Niger Atcc 13496

TISSUE(S): Vegetative Cell (sensu Fungi)

SUBMITTER: Andrea Gargano  

LAB HEAD: Andrea Gargano

PROVIDER: PXD016215 | Pride | 2020-05-04

REPOSITORIES: Pride

Similar Datasets

2023-02-08 | PXD030670 | Pride
2023-01-11 | PXD038606 | Pride
2021-08-12 | MSV000087977 | MassIVE
2024-02-24 | PXD050098 | JPOST Repository
2015-06-30 | E-GEOD-53940 | biostudies-arrayexpress
2011-09-26 | GSE32394 | GEO
2023-07-17 | GSE235013 | GEO
2023-07-17 | GSE235011 | GEO
2023-07-17 | GSE235010 | GEO
2021-08-31 | E-MTAB-10433 | biostudies-arrayexpress