Understanding how industrialization reshapes the human metaorganism requires integrating microbiome ecology with host physiology across globally diverse populations. Here, we generate multivariate data from the Global Microbiome Conservancy cohort, including gut microbiome, immunoglobulin A (IgA) sequencing, host genot...
M. Poyet, M. Rühlemann, A. Schaan et al.· Cell· 1 citation
Standard metagenomics resolves microbial communities only in relative terms and at coarse taxonomic resolution, obscuring how individual strains change in absolute abundance and evolve within a host1–6. We present long-read quantiomics (LRQ), a quantitative metagenomics platform coupling long-read sequencing with plasm...
M. O. Din, C. Brennan, Jian-Shu Zhao et al.· bioRxiv· 0 citations
Interactions between diet and commensal gut microbiota profoundly impact the levels of immunomodulatory systemic metabolites, including several that are associated with disease in people with MS (pwMS), and individual gut microbiota-produced metabolites are sufficient to worsen disease in a mouse model of MS.
T. Montgomery, Emily A. Nelson, Lauren A. Downs et al.· mSystems· 0 citations
Dietary response is modulated by gut microbiome composition and that integrated microbiomic-metabolomic analyses can predict drivers of disease worsening in MS, indicate that dietary response is modulated by gut microbiome composition.
T. Montgomery, Emily A. Nelson, Lauren A. Downs et al.· Journal of Immunology· 0 citations
Joint Robust Principal Component Analysis (Joint-RPCA), a method designed with these statistical properties in mind and broadly applicable to multi-omics settings with similar challenges, reveals replicable and interpretable multi-omic patterns.
Bianca Cordazzo Vargas, C. Martino, A. Dilmore et al.· Molecular Systems Biology· 1 citation
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