Project description:High-intensity physical activity has major impacts in different parts of the body. However, the regulatory coordination between different tissues to support the high physical demands is poorly understood. Here we performed a multi-omics analysis of blood plasma, urine and saliva from a group of firefighters that underwent a 45-minute intense exercise session. The plasma analysis showed signatures of tissue damage and acute repair response. This is accompanied by lipolysis, glycolysis and amino acid degradation towards supplying the high-energetic demands. Concomitantly, the urine analysis showed a strong regulation of the renin-angiotensin system towards excretion of catabolites, reabsorption of nutrients and balance of the body fluids. The saliva showed a decrease in inflammatory molecules and increase in antimicrobial peptides, possibly towards improving the circulatory and respiratory capacity. Overall, our data show signatures of coordinated action between different organs towards supplying the demands of high-intensity physical activity.
Project description:This project has the aim to understand the systemic regulation of physiological processes during a high-demand exercise session. The exercise session consisted of a group of 13 volunteer firefighters that run for 45 min (~2 miles) with full combat gear in a hilly terrain in Santa Clarita, CA. Blood, urine and saliva were collected prior and after the exercise session and submitted to multi-omics analysis.
Project description:This project has the aim to understand the systemic regulation of physiological processes during a high-demand exercise session. The exercise session consisted of a group of 13 volunteer firefighters that run for 45 min (~2 miles) with full combat gear in a hilly terrain in Santa Clarita, CA. Blood, urine and saliva were collected prior and after the exercise session and submitted to multi-omics analysis.
Project description:This project has the aim to understand the systemic regulation of physiological processes during a high-demand exercise session. The exercise session consisted of a group of 13 volunteer firefighters that run for 45 min (~2 miles) with full combat gear in a hilly terrain in Santa Clarita, CA. Blood, urine and saliva were collected prior and after the exercise session and submitted to multi-omics analysis.
Project description:This project has the aim to understand the systemic regulation of physiological processes during a high-demand exercise session. The exercise session consisted of a group of 13 volunteer firefighters that run for 45 min (~2 miles) with full combat gear in a hilly terrain in Santa Clarita, CA. Blood, urine and saliva were collected prior and after the exercise session and submitted to multi-omics analysis.
Project description:Purpose The role of intestinal flora in carcinogenesis and chemotherapy efficacy has been increasingly studied; however, comparisons between oral and intestinal flora remain limited. This study aimed to identify the microbial changes in urothelial carcinoma (UC) by analyzing oral saliva and stool samples from healthy individuals and patients. We also examined the association between microbial composition and immune checkpoint inhibitor (ICI) response. Methods A total of 20 healthy individuals and 38 patients with UC were analyzed. Among them, 27 patients with UC underwent ICI treatment. Oral saliva and stool samples were analyzed for 16S rRNA sequences to assess bacterial composition. Operational taxonomic units were generated, and phylogenetic analysis was performed using the 16S Metagenomics app whithin the Illumina BaseSpace Sequence Hub. Results Patients with UC showed higher Veillonellaceae and Prevotellaceae levels in saliva and stool, with lower levels of these bacteria associated with more prolonged overall survival and progression-free survival, particularly Veillonellaceae in stool. A higher neutrophil-to-lymphocyte ratio correlated with increased levels of these bacteria. Conclusion Veillonellaceae and Prevotellaceae are potential microbial biomarkers of survival outcomes and ICI efficacy in patients with UC. Non-invasive oral microbial sampling may facilitate personalized cancer treatment strategies.
Project description:The consolidation of contextual fear memories requires the crosstalk among multiple brain regions, including the hippocampus and amygdala. Despite the advance in single cell transcriptomic techniques, tracing the dynamic gene expression across the hippocampal-amygdala circuit remain challenging. Here we integrated high resolution spatial transcriptomics with single nuclei multi-omics techniques to systematically investigate the spatiotemporally transcriptional programs across the hippocampal-amygdala circuit during the encoding and retrieval of contextual fear memory. It reveals highly dynamic gene expression in the subregions of hippocampus and amygdala. Our data provide new insights into the transcriptional programs underlying consolidation of memory.
Project description:The consolidation of contextual fear memories requires the crosstalk among multiple brain regions, including the hippocampus and amygdala. Despite the advance in single cell transcriptomic techniques, tracing the dynamic gene expression across the hippocampal-amygdala circuit remain challenging. Here we integrated high resolution spatial transcriptomics with single nuclei multi-omics techniques to systematically investigate the spatiotemporally transcriptional programs across the hippocampal-amygdala circuit during the encoding and retrieval of contextual fear memory. It reveals highly dynamic gene expression in the subregions of hippocampus and amygdala. Our data provide new insights into the transcriptional programs underlying consolidation of memory.
Project description:Multi-omics single-cell profiling of surface proteins, gene expression and lymphocyte immune receptors from hospitalised COVID-19 patient peripheral blood immune cells and healthy controls donors. Identification of the coordinated immune cell compositional and state changes in response to SARS-CoV-2 infection or LPS challenge, compared to healthy control immune cells.
Project description:This SuperSeries is composed of the following subset Series: GSE32691: Autoantibody profile timecourse of UNK GSE32874: Personal Omics Profiling Reveals Dynamic Molecular Phenotypes and Actionable Medical Risks Refer to individual Series