Translating N‐glycan analytical applications into clinical strategies for ovarian cancer
Autor: | Arun V. Everest-Dass, Martin K. Oehler, Mark R. Condina, Gurjeet Kaur, Manuela Klingler-Hoffmann, Matthew T. Briggs, Georgia Arentz, Nicolle H. Packer, Peter Hoffmann |
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Přispěvatelé: | Briggs, Matthew T, Condina, Mark R, Klingler-Hoffmann, Manuela, Arentz, Georgia, Everest-Dass, Arun V, Kaur, Gurjeet, Oehler, Martin K, Packer, Nicolle H, Hoffmann, Peter |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
0301 basic medicine
Protein glycosylation Glycan Glycosylation Clinical Biochemistry Computational biology mass spectrometry imaging Biology FFPE Chemistry Techniques Analytical Mass Spectrometry Mass spectrometry imaging 03 medical and health sciences chemistry.chemical_compound Polysaccharides medicine Humans MALDI Ovarian Neoplasms Tumor microenvironment 030102 biochemistry & molecular biology tissue medicine.disease 030104 developmental biology ovarian cancer chemistry N-glycan biology.protein Posttranslational modification Female Protein folding Ovarian cancer |
Popis: | Protein glycosylation, particularly N‐linked glycosylation, is a complex post‐translational modification (PTM), which plays an important role in protein folding and conformation, regulating protein stability and activity, cell‐cell interaction, and cell signalling pathways. This review focuses on analytical techniques, primarily mass spectrometry‐based techniques, to qualitatively and quantitatively assess N‐glycosylation while successfully characterising compositional, structural and linkage features with high specificity and sensitivity. The analytical techniques explored in this review include liquid chromatography electrospray ionisation tandem mass spectrometry (LC‐ESI‐MS/MS) and matrix‐assisted laser desorption/ionisation time‐of‐flight mass spectrometry (MALDI‐TOF‐MS), which have been used to analyse clinical samples, such as serum, plasma, ascites and tissue. Targeting the aberrant N‐glycosylation patterns observed in MALDI mass spectrometry imaging (MSI) offers a platform to visualise N‐glycans in tissue‐specific regions. Our studies on the intra‐patient (i.e. a comparison of tissue‐specific regions from the same patient) and inter‐patient (i.e. a comparison of tissue‐specific regions between different patients) variation of early‐ and late‐stage ovarian cancer (OC) patients identified specific N‐glycan differences that improve our understanding of the tumour microenvironment and potentially improve therapeutic strategies for the clinic. Refereed/Peer-reviewed |
Databáze: | OpenAIRE |
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