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Chan, M. Y. Y.

Publications and source records attributed to Chan, M. Y. Y..

2 recordsLinked to original sources

Minimal-invasive myocardial infarction model reproduces patient immune responses and reveals a pathogenic role for immature neutrophils

Myocardial infarction (MI) triggers a systemic neutrophil response, yet the roles of distinct neutrophil subsets in cardiac remodeling remain unclear. Studying this requires murine models that accurately mirror human neutrophil dynamics. Here, we show that a minimally invasive intact-chest MI model is more pathophysiologically relevant than the standard open-chest approach for investigating post-MI immune responses. In the open-chest model, surgical trauma disrupts bone marrow homeostasis, releases large numbers of immature neutrophils, and masks MI-specific immune mechanisms. In contrast, the intact-chest model preserves bone marrow integrity and induces only a modest rise in circulating immature neutrophils, closely reflecting MI patient profiles. We further demonstrate that accumulation of immature neutrophils in the infarcted heart exacerbates cardiac dysfunction. Beyond neutrophils, the overall cardiac immune landscape differs markedly between both models. Collectively, our findings establish the intact-chest model as superior for studying post-MI inflammation and reveal immature neutrophils as mediators of adverse cardiac remodeling.

immunology↗

MRMhub: one-stop solution for automated processing of large-scale targeted metabolomics data

Data processing and quality control are essential for complex targeted mass spectrometry (MS) assays in large-scale metabolomics studies. However, existing software solutions have significant gaps in robustness and scalability. We report MRMhub, a one-stop solution for streamlined processing of large-scale targeted MS data. MRMhub consists of a novel peak integration engine with unique algorithmic design to address the scalability challenge and a comprehensive collection of post-acquisition data processing and analytical quality control tools. The ensemble facilitates rapid and consistent processing of complex chromatograms, quantification, drift and batch correction, quality assessment and control, feature filtering, and data/workflow sharing and reporting. MRMhub can process data from highly complex assays in population-scale studies within minutes, with full digital footprints warranting reproducibility and traceability. We demonstrate its performance using two large-scale lipidomics data sets. We distribute the source code and data sets freely for community development.

bioinformatics↗