Matthew Briggs

Dr. Matthew Briggs

University of South Australia, Future Industries Institute
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2016 in Molecular & Cellular Proteomics
Verified
Journal Article
Open access
PDF file
AEArun Everest-Dass
Arun Everest-Dass
Matthew BriggsMatthew Briggs
Matthew Briggs
GKGurjeet Kaur
Gurjeet Kaur
MOMartin K. Oehler
Martin K. Oehler
PHPeter Hoffmann
Peter Hoffmann
NPNicolle H. Packer
Nicolle H. Packer
Ovarian cancer is a fatal gynaecological malignancy in adult women with a five-year overall survival rate of only 30%. Glycomic and glycoproteomic profiling studies have reported extensive protein glycosylation pattern alterations in ovarian cancer. Therefore, spatio-temporal investigation of these glycosylation changes may unearth tissue-specific changes that occur in the development and progression of ovarian cancer. A novel method for investigating tissue-specific N-linked glycans is using matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) on formalin-fixed paraffin-embedded (FFPE) tissue sections that can spatially profile N-glycan compositions released from proteins in tissue-specific regions. In this study, tissue regions of interest (e.g. tumor, stroma, adipose tissue and necrotic areas) were isolated from FFPE tissue sections of advanced serous ovarian cancers (n = 3). PGC-LC-ESI-MS/MS and MALDI-MSI were used as complementary techniques to firstly generate structural information on the tissue-specific glycans in order to then obtain high resolution images of the glycan structure distribution in ovarian cancer tissue. The N-linked glycan repertoires carried by the proteins in these tissue regions were structurally characterized for the first time in FFPE ovarian cancer tissue regions, using enzymatic peptide-N-glycosidase F (PNGase F) release of N-glycans. The released glycans were analyzed by porous graphitized carbon liquid chromatography (PGC-LC) and collision induced electrospray negative mode MS fragmentation analysis. The N-glycan profiles identified by this analysis were then used to determine the location and distribution of each N-glycan on FFPE ovarian cancer sections that were treated with PNGase F using high resolution MALDI-MSI. A tissue-specific distribution of N-glycan structures identified particular regions of the ovarian cancer sections. For example, high mannose glycans were predominantly expressed in the tumor tissue region whereas complex/hybrid N-glycans were significantly abundant in the intervening stroma. Therefore, tumor and non-tumor tissue regions were clearly demarcated solely on their N-glycan structure distributions.

2 December 2014 in Analytical and Bioanalytical Chemistry
Verified
Journal Article
Open access
PDF file
JGJohan O.R. Gustafsson
Johan O.R. Gustafsson
Matthew BriggsMatthew Briggs
Matthew Briggs
MCMark Rocco Condina
Mark Rocco Condina
LWLyron J. Winderbaum
Lyron J. Winderbaum
MPMatthias Pelzing
Matthias Pelzing
PHPeter Hoffmann
Peter Hoffmann
Recent developments in spatial proteomics have paved the way for retrospective in situ mass spectrometry (MS) analyses of formalin-fixed paraffin-embedded clinical tissue samples. This type of analysis is commonly referred to as matrix-assisted laser desorption/ionization (MALDI) imaging. Recently, formalin-fixed paraffin-embedded MALDI imaging analyses were augmented to allow in situ analyses of tissue-specific N-glycosylation profiles. In the present study, we outline an improved automated sample preparation method for N-glycan MALDI imaging, which uses in situ PNGase F-mediated release and measurement of N-linked glycans from sections of formalin-fixed murine kidney. The sum of the presented data indicated that N-glycans can be cleaved from proteins within formalin-fixed tissue and characterized using three strategies: (i) extraction and composition analysis through on-target MALDI MS and liquid chromatography coupled to electrospray ionization ion trap MS; (ii) MALDI profiling, where N-glycans are released and measured from large droplet arrays in situ; and (iii) MALDI imaging, which maps the tissue specificity of N-glycans at a higher resolution. Thus, we present a complete, straightforward method that combines MALDI imaging and characterization of tissue-specific N-glycans and complements existing strategies.

16 August 2019 in Proteomics
Verified
Journal Article
Closed access
PDF file
Sayantani ChatterjeeSayantani Chatterjee
Sayantani Chatterjee
LLLing Y. Lee
Ling Y. Lee
RKRebeca Kawahara
Rebeca Kawahara
JAJodie L. Abrahams
Jodie L. Abrahams
BABarbara Adamczyk
Barbara Adamczyk
MTMorten Thaysen-Andersen
Morten Thaysen-Andersen

1 January 2017
Verified
Book Chapter
Closed access
GAG. Arentz
G. Arentz
PMP. Mittal
P. Mittal
CZC. Zhang
C. Zhang
YHY.-Y. Ho
Y.-Y. Ho
Matthew BriggsMatthew Briggs
Matthew Briggs
PHPeter Hoffmann
Peter Hoffmann

31 July 2019 in Proteomics
Verified
Journal Article
Open access
PDF file
Matthew BriggsMatthew Briggs
Matthew Briggs
MCMark Rocco Condina
Mark Rocco Condina
YHYin Ying Ho
Yin Ying Ho
AEArun V. Everest‐Dass
Arun V. Everest‐Dass
PMParul Mittal
Parul Mittal
PHPeter Hoffmann
Peter Hoffmann
Epithelial ovarian cancer is one of the most fatal gynecological malignancies in adult women. As studies on protein N‐glycosylation have extensively reported aberrant patterns in the ovarian cancer tumor microenvironment, obtaining spatial information will uncover tumor‐specific N‐glycan alterations in ovarian cancer development and progression. matrix‐assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) is employed to investigate N‐glycan distribution on formalin‐fixed paraffin‐embedded ovarian cancer tissue sections from early‐ and late‐stage patients. Tumor‐specific N‐glycans are identified and structurally characterized by porous graphitized carbon‐liquid chromatography‐electrospray ionization‐tandem mass spectrometry (PGC‐LC‐ESI‐MS/MS), and then assigned to high‐resolution images obtained from MALDI‐MSI. Spatial distribution of 14 N‐glycans is obtained by MALDI‐MSI and 42 N‐glycans (including structural and compositional isomers) identified and structurally characterized by LC‐MS. The spatial distribution of oligomannose, complex neutral, bisecting, and sialylated N‐glycan families are localized to the tumor regions of late‐stage ovarian cancer patients relative to early‐stage patients. Potential N‐glycan diagnostic markers that emerge include the oligomannose structure, (Hex)6 + (Man)3(GlcNAc)2, and the complex neutral structure, (Hex)2 (HexNAc)2 (Deoxyhexose)1 + (Man)3(GlcNAc)2. The distribution of these markers is evaluated using a tissue microarray of early‐ and late‐stage patients.

15 June 2016 in Proteomics
Verified
Journal Article
Closed access
PDF file
Matthew BriggsMatthew Briggs
Matthew Briggs
JKJulia S. Kuliwaba
Julia S. Kuliwaba
DMDzenita Muratovic
Dzenita Muratovic
AEArun Everest-Dass
Arun Everest-Dass
NPNicolle H. Packer
Nicolle H. Packer
PHPeter Hoffmann
Peter Hoffmann