15 results match your criteria: "Prince of Wales Clinical Research Sciences[Affiliation]"

Amino Acid Composition Determination From the Fractional Mass of Peptides.

J Mass Spectrom

October 2024

JEOL USA Inc, Peabody, Massachusetts, USA.

A peptide's fractional mass is directly associated with its elemental composition and thus amino acid composition. Here it is demonstrated that a peptide's fractional mass alone can be a useful identifier or indicator of that composition for small to mid-sized peptides (5-7 amino acids) and can significantly reduce the number of viable amino acid compositions for larger peptides (> 8 residues) to include or exclude certain possibilities. Separate consideration of the integer portion of the peptide's mass helps to reduce the number of possibilities where many duplicate fractional mass values are found.

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Objective: The rapid detection and differentiation of strains of the BA.2.86 lineage including the new sub-variant JN.

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It is demonstrated, for the first time, that a mass spectrometry approach (known as phylonumerics) can be successfully implemented for structural phylogenetics investigations to chart the evolution of a protein's structure and function. Illustrated for the compact globular protein myoglobin, peptide masses produced from the proteolytic digestion of the protein across animal species generate trees congruent to the sequence tree counterparts. Single point mutations calculated during the same mass tree building step can be followed along interconnected branches of the tree and represent a viable structural metric.

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25 Years Responding to Respiratory and Other Viruses with Mass Spectrometry.

Mass Spectrom (Tokyo)

December 2023

Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, NSW, Australia.

This review article presents the development and application of mass spectrometry (MS) approaches, developed in the author's laboratory over the past 25 years, to detect; characterise, type and subtype; and distinguish major variants and subvariants of respiratory viruses such as influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). All features make use of matrix-assisted laser desorption ionisation (MALDI) mass maps, recorded for individual viral proteins or whole virus digests. A MALDI-based immunoassay in which antibody-peptide complexes were preserved on conventional MALDI targets without their immobilisation led to an approach that enabled their indirect detection.

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A selected ion monitoring (SIM) approach combined with high resolution mass spectrometry is employed to identify and distinguish common SARS-CoV2 omicron and recombinant variants in clinical specimens. Mutations within the receptor binding domain (RBD) within the surface spike protein of the virus result in a combination of peptide segments of unique sequence and mass that were monitored to detect BA.2.

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In the wake of the SARS-CoV2 pandemic, a point has been reached to assess the limitations and strengths of the analytical responses to virus identification and characterisation. Mass spectrometry has played a growing role in this area for over two decades, and this review highlights the benefits of mass spectrometry (MS) over PCR-based methods together with advantages of high mass resolution, high mass accuracy strategies over conventional MALDI-ToF and ESI-MS/MS instrumentation. This review presents the development and application of high resolution mass spectrometry approaches to detect, characterise, type and subtype, and distinguish variants of the influenza and SARS-CoV-2 respiratory viruses.

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The evolution of the SARS-CoV2 coronavirus spike S-protein is studied using a mass spectrometry based protein phylogenetic approach. A study of a large dataset comprising sets of peptide masses derived from over 3000 proteins of the SARS-CoV2 virus shows that the approach is capable of resolving and correctly displaying the evolution of the major variants of concern. Using these numerical datasets, through a pairwise comparison of sets of proteolytic peptide masses for each protein, the tree is built without the need for the sequence data itself or any sequence alignment.

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Mass mapping using high resolution mass spectrometry has been applied to identify and rapidly distinguish the omicron sub-variants across the BA.1-BA.5 lineages.

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Following the birth of the field of mass spectrometry at the end of World War I, it was several decades before the first commercial mass spectrometers became available. In the interim, many physicists interested in the nature of matter, and their application to studies in nuclear physics, constructed their own. A young physics postgraduate student, John Roger Bird, was the first to do so in Australia.

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A mass tree, phylonumerics approach, is implemented for the first time with expressed protein mass data acquired in biotyping applications. It is shown, for two separate and diverse bacterial datasets, that the MassTree algorithm can be used to build phylogenetic trees in a single step that mirror those output by biotyping analysis software in the form of a main spectral profile (MSP) dendrogram or alike. Adapted for these applications to accommodate higher mass inputs and large mass error tolerances for pairwise matching, the mass tree algorithm and approach offers an alternative to commercial biotyping platforms by utilizing datasets acquired from any mass spectrometer without the need for specialized and expensive software.

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Mass mapping using high resolution mass spectrometry has been applied to identify and rapidly distinguish the omicron variant of the SARS-CoV2 coronavirus strains from other major variants of concern. Insertions, deletions and mutations within the surface spike protein result in associated mass differences in the mass maps that distinguish the variant from the originating strain and the preceding alpha, beta, gamma and delta variants of concern. The same mass map profiles can also be used to construct phylogenetic trees, without the need for protein (or gene) sequences or their alignment, in order to chart and study the origins of the variants, or any other strains.

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Joseph John Thomson investigates the paranormal.

Eur J Mass Spectrom (Chichester)

October 2021

Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, Australia.

Joseph John Thomson is best known for detecting two isotopes of neon within cathode ray tubes that lay the foundation of the field of mass spectrometry. He was awarded the 1906 Nobel Prize in Physics for the discovery of the electron and for his work on the conduction of electricity in gases in the same devices. He is less known for his strong religious beliefs and his interest in psychical research and the paranormal.

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Mass mapping using high-resolution mass spectrometry has been applied to identify and rapidly distinguish SARS-CoV-2 coronavirus strains across five major variants of concern. Deletions or mutations within the surface spike protein across these variants, which originated in the UK, South Africa, Brazil and India (known as the alpha, beta, gamma and delta variants respectively), lead to associated mass differences in the mass maps. Peptides of unique mass have thus been determined that can be used to identify and distinguish the variants.

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This article reviews the many and varied mass spectrometry based responses to the SARS-CoV2 coronavirus amidst a continuing global healthcare crisis. Although RT-PCR is the most prevalent molecular based surveillance approach, improvements in the detection sensitivities with mass spectrometry coupled to the rapid nature of analysis, the high molecular precision of measurements, opportunities for high sample throughput, and the potential for in-field testing, offer advantages for characterising the virus and studying the molecular pathways by which it infects host cells. The detection of biomarkers by MALDI-TOF mass spectrometry, studies of viral peptides using proteotyping strategies, targeted LC-MS analyses to identify abundant peptides in clinical specimens, the analysis of viral protein glycoforms, proteomics approaches to understand impacts of infection on host cells, and examinations of point-of-care breath analysis have all been explored.

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Protein phylogenetics with mass spectrometry. A comparison of methods.

Anal Methods

March 2021

Infectious Disease Responses Laboratory, Prince of Wales Clinical Research Sciences, Sydney, NSW 2031, Australia.

Advances in protein mass spectrometry have provided the ability to identify and sequence proteins with unprecedented speed, sensitivity and accuracy. These benefits now offer advantages for studies of protein evolution and phylogeny avoiding the need to generate and align DNA sequences which can prove time consuming, costly and difficult in the case of large genomes and for highly diverse organisms. The methods of phylogenetic analysis using protein mass spectrometry can be classified into three categories: (1) de novo protein sequencing followed by multiple sequence alignment for classical phylogenetic reconstruction, (2) direct phylogenetic reconstruction using expressed protein mass profiles exploited in microbial biotyping applications, and (3) the construction of trees using proteolytic peptide mass map or fingerprint data.

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