Project description:Metagenome data from soil samples were collected at 0 to 10cm deep from 2 avocado orchards in Channybearup, Western Australia, in 2024. Amplicon sequence variant (ASV) tables were constructed based on the DADA2 pipeline with default parameters.
Project description:Collagenase digestion (d) and cellular outgrowth (og) are the current modalities of meniscus fibrochondrocytes (MFC) isolation for bioengineering and mechanobiology related studies. However, how these modalities may impact study outcomes are unknown. Here, we show og- and d-isolated MFC have distinct proliferative capacity, transcriptomic profiles via RNA sequencing (RNAseq), extracellular matrix (ECM)-forming and migratory capacities. Our data show that microtissue models developed from og-isolated MFC display a contractile phenotype with higher expressions of α-smooth muscle actin (ACTA2) and transgelin (TAGLN) and are mechanically stiffer than their counterparts from d-MFC. Moreover, we introduce a novel method of MFC designated digestion-after-outgrowth (dog). The transcriptomic prolife of dog-MFC are distinct from d-and og-MFC including a higher expression of mechanosensing caveolae-associated caveolin-1 (CAV1). Additionally, dog-MFC were superior chondrogenically and generated larger-size microtissue models containing a higher frequency of smaller collagen fiber diameters. Thus, we demonstrate that the modalities of MFC isolation influences the downstream outcomes of bioengineering and mechanobiology-related studies.
Project description:Host-microbiome-dietary interactions play crucial roles in regulating human health, yet direct functional assessment of their interplays, cross-regulations and downstream disease impacts remains challenging. We adopted metagenome-informed metaproteomics (MIM), in both mice and humans, to simultaneously explore host, dietary, and species-level microbiome interactions across diverse scenarios, including commensal and pathogen colonization, nutritional modifications, and antibiotic-induced perturbations. Implementation of MIM in murine auto-inflammation and in human IBD characterized a ‘compositional dysbiosis’ and a concomitant, species-specific ‘functional dysbiosis’ driven by suppressed commensal responses to inflammatory host signals. Microbiome transfers unraveled early-onset kinetics of these host-commensal cross-responsive patterns, while predictive analyses identified candidate fecal host-microbiome IBD biomarker protein pairs outperforming S100A8/S100A9 (calprotectin). Importantly, a simultaneous fecal nutrient assessment enabled determination of IBD-related consumption patterns, dietary treatment compliance and small-intestinal digestive aberrations. Collectively, a parallelized dietary-bacterial-host MIM assessment functionally uncovers trans-kingdom interactomes shaping gastrointestinal ecology, while offering personalized diagnostic and therapeutic insights into microbiome-associated disease.
