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Liquet-Weiland, B.

Publications and source records attributed to Liquet-Weiland, B..

2 recordsLinked to original sources

Tumor- and immune-derived N-acetyl-β-D-hexosaminidase drive colorectal cancer and stratify patient risk

Non-invasive prognostic markers are needed to improve survival of colorectal cancer (CRC) patients. Towards this goal, we applied integrative systems glycobiology approaches to tumor tissues and PBMCs from CRC patients and matching controls as well as to a CRC patient-derived cell line. Firstly, quantitative glycomics and glycoproteomics revealed that non-canonical paucimannosidic proteins from monocytic and cancer cell origins are prominent signatures in CRC tumor tissues, and that their expression associates with CRC progression. Guided by these associations, we then showed that N-acetyl-{beta}-D-hexosaminidase (Hex) facilitates paucimannosidic protein biosynthesis in CRC cells and is intimately involved in processes underpinning CRC metastasis (adhesion, migration, invasion, proliferation). Finally, Hex activity was found to be elevated in PBMCs and plasma from patients with advanced CRC relative to matching controls while plasma Hex activity correlated strongly with CRC patient survival. Our study opens avenues for better prognostication, disease risk stratification and therapeutic interventions in CRC. HighlightsO_LI* Non-canonical truncated glycans of immune and cancer origins dominate in CRC tumors C_LIO_LI* N-acetyl-{beta}-D-hexosaminidase, a truncating glycoenzyme, drives tumorigenesis in CRC C_LIO_LI* Activity of plasma N-acetyl-{beta}-D-hexosaminidase stratifies risk in CRC patients C_LI

cancer biology↗

Community Evaluation of Glycoproteomics Informatics Solutions Reveals High-Performance Search Strategies of Glycopeptide Data

Glycoproteome profiling (glycoproteomics) is a powerful yet analytically challenging research tool. The complex tandem mass spectra generated from glycopeptide mixtures require sophisticated analysis pipelines for structural determination. Diverse software aiding the process have appeared, but their relative performance remains untested. Conducted through the HUPO Human Proteome Project - Human Glycoproteomics Initiative, this community study, comprising both developers and users of glycoproteomics software, evaluates the performance of informatics solutions for system-wide glycopeptide analysis. Mass spectrometry-based glycoproteomics datasets from human serum were shared with all teams. The relative team performance for N- and O-glycopeptide data analysis was comprehensively established and validated through orthogonal performance tests. Excitingly, several high-performance glycoproteomics informatics solutions were identified. While the study illustrated that significant informatics challenges remain, as indicated by a high discordance between annotated glycopeptides, lists of high-confidence (consensus) glycopeptides were compiled from the standardised team reports. Deep analysis of the performance data revealed key performance-associated search variables and led to recommendations for improved "high coverage" and "high accuracy" glycoproteomics search strategies. This study concludes that diverse software for comprehensive glycopeptide data analysis exist, points to several high-performance search strategies, and specifies key variables that may guide future software developments and assist informatics decision-making in glycoproteomics.

biochemistry↗