Publications by authors named "B MacLean"

Targeted mass spectrometry (MS) methods are powerful tools for the selective and sensitive analysis of peptides identified in global discovery experiments. Selected reaction monitoring (SRM) is the most widely accepted clinical MS method due to its reliability and performance. However, SRM and parallel reaction monitoring (PRM) are limited in throughput and are typically used for assays with around 100 targets or fewer.

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Article Synopsis
  • Reproductive-aged women are at a higher risk of iron deficiency (ID), prompting the development of a non-invasive screening tool to identify this condition and assess its acceptability among women.
  • A study in Western Australia screened 640 women aged 18-49, revealing important statistics such as 28% had heavy menstrual bleeding (HMB) and 12% were anaemic, with significant correlations found between hand grip strength and hemoglobin levels.
  • The screening was well received, showing high recruitment rates, and suggests future tools could benefit from factors like hand grip strength and the prevalence of HMB in the assessment process.
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A thorough evaluation of the quality, reproducibility, and variability of bottom-up proteomics data is necessary at every stage of a workflow, from planning to analysis. We share vignettes applying adaptable quality control (QC) measures to assess sample preparation, system function, and quantitative analysis. System suitability samples are repeatedly measured longitudinally with targeted methods, and we share examples where they are used on three instrument platforms to identify severe system failures and track function over months to years.

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Unlabelled: Proteomics has emerged as a powerful tool for studying cancer biology, developing diagnostics, and therapies. With the continuous improvement and widespread availability of high-throughput proteomic technologies, the generation of large-scale proteomic data has become more common in cancer research, and there is a growing need for resources that support the sharing and integration of multi-omics datasets. Such datasets require extensive metadata including clinical, biospecimen, and experimental and workflow annotations that are crucial for data interpretation and reanalysis.

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