Matthew T Briggs1,2, Yin Ying Ho1, Gurjeet Kaur3, Martin K Oehler4,5, Arun V Everest-Dass6,7, Nicolle H Packer6,7, Peter Hoffmann1,2. 1. Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, Australia, 5005. 2. Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, Australia, 5005. 3. Institute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Pulau Pinang, Malaysia. 4. Department of Gynaecological Oncology, Royal Adelaide Hospital, Adelaide, South Australia, 5005, Australia. 5. Robinson Institute, University of Adelaide, Adelaide, Australia, 5005. 6. ARC Centre for Nanoscale BioPhotonics (CNBP), University of Adelaide, Adelaide, Australia, 5005. 7. Biomolecular Frontiers Research Centre, Macquarie University, Sydney, Australia, 2109.
Abstract
RATIONALE: Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) of the proteome of a tissue has been an established technique for the past decade. In the last few years, MALDI-MSI of the N-glycome has emerged as a novel MALDI-MSI technique. To assess the accuracy and clinical significance of the N-linked glycan spatial distribution, we have developed a method that utilises MALDI-MSI followed by liquid chromatography coupled to tandem mass spectrometry (LC/MS/MS) in order to assign glycan structures to the differentiating MALDI-MSI glycan masses released from the tissue glycoproteins. METHODS AND RESULTS: Our workflow presents a comprehensive list of instructions on how to (i) apply MALDI-MSI to spatially map the N-glycome across formalin-fixed paraffin-embedded (FFPE) clinical samples, (ii) structurally characterise N-glycans extracted from consecutive FFPE tissue sections by LC/MS/MS, and (iii) match relevant N-glycan masses from MALDI-MSI with confirmed N-glycan structures determined by LC/MS/MS. CONCLUSIONS: Our protocol provides groups that are new to this technique with instructions how to establish N-glycan MALDI-MSI in their laboratory. Furthermore, the method assigns N-glycan structural detail to the masses obtained in the MALDI-MS image.
RATIONALE: Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) of the proteome of a tissue has been an established technique for the past decade. In the last few years, MALDI-MSI of the N-glycome has emerged as a novel MALDI-MSI technique. To assess the accuracy and clinical significance of the N-linked glycan spatial distribution, we have developed a method that utilises MALDI-MSI followed by liquid chromatography coupled to tandem mass spectrometry (LC/MS/MS) in order to assign glycan structures to the differentiating MALDI-MSI glycan masses released from the tissue glycoproteins. METHODS AND RESULTS: Our workflow presents a comprehensive list of instructions on how to (i) apply MALDI-MSI to spatially map the N-glycome across formalin-fixed paraffin-embedded (FFPE) clinical samples, (ii) structurally characterise N-glycans extracted from consecutive FFPE tissue sections by LC/MS/MS, and (iii) match relevant N-glycan masses from MALDI-MSI with confirmed N-glycan structures determined by LC/MS/MS. CONCLUSIONS: Our protocol provides groups that are new to this technique with instructions how to establish N-glycan MALDI-MSI in their laboratory. Furthermore, the method assigns N-glycan structural detail to the masses obtained in the MALDI-MS image.
Authors: Yea-Rin Lee; Matthew T Briggs; Clifford Young; Mark R Condina; Julia S Kuliwaba; Paul H Anderson; Peter Hoffmann Journal: Anal Bioanal Chem Date: 2022-09-20 Impact factor: 4.478
Authors: Clifford Young; Mark R Condina; Matthew T Briggs; Edward S X Moh; Gurjeet Kaur; Martin K Oehler; Peter Hoffmann Journal: Front Chem Date: 2021-06-11 Impact factor: 5.221
Authors: Andrew Smith; Isabella Piga; Manuel Galli; Martina Stella; Vanna Denti; Marina Del Puppo; Fulvio Magni Journal: Int J Mol Sci Date: 2017-12-01 Impact factor: 5.923
Authors: Yea-Rin Lee; Matthew T Briggs; Mark R Condina; Hamish Puddy; Paul H Anderson; Peter Hoffmann; Julia S Kuliwaba Journal: Int J Mol Sci Date: 2020-09-03 Impact factor: 5.923