Serum, urine metabolite bio-marker standard workflow construction
BGI has industry-leading mass spectrum analysis platform, including LTQ-ORBITRAP, QTRAP 5500 high-resolution, accurate mass systems, and developed bioinformatics pipeline based on R scripts. Scientific cooperation invitation is surging. Serum and urine predispose SOP and data analysis SOP establishment provides standardized, reproducible technology for BGI metabolomics projects and transomics scientific research.
Lipid is essential for energy storage and transport (triacylglycerols), cellular binding and recognition and other biological processes (glycolipids), signaling (steroid hormones), digestion (bile salts), and metabolism (fatty acids, ketone bodies, and vitamin D). Disorders of lipid metabolism include Alzheimer’s disease, diabetes, obesity, and atherosis. Target lipidomics has been applied to pharmaceutical chemistry, molecular physiology, molecular aetiology, functional genomics, nutriology, and environment and health research area. This project aims to establish target lipidomics work standard, and quantify lipid metabolite in samples employing known blocks.
Transomics study of radiation-resistant microbiome
This project integrates BGI high-throughput genome sequencing technology, bacteria genome denovo assembly, transcriptome sequencing, and metabolite profiling to study radiation resistant trait related gene and underlying mechanism in bacteria.
Dyslipidemia related spermatogenesis disorder biomarker detection and clinical intervention
Based on proteomics and metabolomics profiling strategy and biochemistry, cell biology, molecular biology knowledge, we systematically deploy research on dyslipidemia related spermatogenesis disorder, elucidate the mechanism and corresponding biomarker and molecular target for male infertility and provide data for clinical diagnosis and intervention.
Pediatric pulmonary artery hypertension metabolomics study
LC-MS method based metabolomics technology was adopted to scan plasma sample from pulmonary artery hypertension children that eventually develop heart disease. We aim to find the metabolite spectrum difference between case and controls and the altered disease causal pathways.
Human intestinal tract microbiome colonies and host cardiovascular disease co-metabolite research
Human intestinal tract symbiosis microbiome colonies are proved to be closely related with host cardiovascular disease, whereas the specific microbiome and host interaction and its contribution to disease genesis and development mechanism are not clear. This project aims to analyze the intestinal and oral microbiome colony constitution and structure between cardiovascular cases and healthy control groups and isolate vital disease causal species, and provide landmark to disease prevention and target to therapy. High-resolution mass spectrometry technology and metabolomics data facilitate the cardiovascular disease research by discriminating significantly differently expressed metabolite in case and control and trace the active associated pathway. The integrated approach reveals the intestinal microbiome and co-metabolite spectrum impact to host phenotype, and cardiovascular etiology and pathogenesis.