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Protein Glycosylation01:25

Protein Glycosylation

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Glycosylation, the most common post-translational modification for proteins, serves diverse functions. Adding sugars to proteins makes the proteins more resistant to proteolytic digestion. Glycosylated proteins can act as markers and receptors to promote cell-cell adhesion. Additionally, they have many essential quality control functions in the cell, such as correct protein folding and facilitating transport of misfolded proteins to the cytosol, which can be degraded.
Glycosylation occurs in...
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Glycomics-Guided Glycoproteomics Facilitates Comprehensive Profiling of the Glycoproteome in Complex Tumor Microenvironments
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Recent advances in computational algorithms and software for large-scale glycoproteomics.

Daniel A Polasky1, Alexey I Nesvizhskii2

  • 1University of Michigan Department of Pathology, Ann Arbor, MI, USA.

Current Opinion in Chemical Biology
|December 16, 2022
PubMed
Summary
This summary is machine-generated.

New informatics methods improve glycopeptide analysis in large-scale glycoproteomics. These approaches use glycan fragmentation for better peptide and glycan identification, addressing current data analysis challenges.

Keywords:
Database SearchFalse Discovery RateGlycopeptide IdentificationGlycoproteomicsSoftware

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Area of Science:

  • Biochemistry
  • Computational Biology
  • Mass Spectrometry

Background:

  • Glycoproteomics aims to characterize glycosylation events across the proteome.
  • Recent advances in tandem mass spectrometry have enabled larger, more comprehensive glycopeptide datasets.
  • This necessitates the development of improved computational methods for data analysis.

Purpose of the Study:

  • To review novel glycoproteomics search methods utilizing glycan fragmentation.
  • To discuss the implications of these methods for large-scale glycoproteomics.
  • To highlight current challenges and future directions in glycoproteomics data analysis.

Main Methods:

  • Review of emerging glycoproteomics search algorithms.
  • Discussion of glycan fragmentation strategies for glycopeptide identification.
  • Analysis of informatics challenges in glycopeptide annotation and quantitation.

Main Results:

  • New search methods enable separate identification of peptide and glycan components.
  • These methods offer potential for more comprehensive glycoproteomics datasets.
  • Key challenges remain in glycan assignment validation and quantitation.

Conclusions:

  • Advanced informatics methods are crucial for interpreting large-scale glycoproteomics data.
  • Addressing challenges in validation and quantitation is essential for reproducible glycopeptide analysis.
  • The future of glycoproteomics relies on robust computational tools for annotation and quantitation.