Systematic analysis based on multi-omics data has shown the potential to reveal the underlying molecular mechanisms of complex biological systems. As an innovator of lysosomes, CD BioSciences is committed to creating lysosome-based technologies to help your research worry-free. Here, we provide comprehensive lysosomalomics analysis services. Our professional team will ensure that you get the most satisfactory lysosome service.
Introduction of Lysosomalomics
With the continuous emergence of new technologies in histology, the development of histological research towards quantification and high throughput has been accelerated. By integrating and analyzing bulk data from different biomolecular levels such as genome, transcriptome, proteome, metabolome and lipidome. It also combines GO functional analysis, metabolic pathway enrichment, molecular interactions and other biofunctional analysis to systematically and comprehensively resolve biomolecular functions and regulatory mechanisms. We all know that lysosomes are organelles that exist in almost all eukaryotic cells. Lysosomes are essential for the maintenance of energy and metabolic homeostasis, signal transduction, and recycling of damaged proteins and organelles. Their functions have been widely demonstrated to be involved in a variety of physiological and pathological processes. Therefore, a multi-omics approach provides a powerful tool to comprehensively analyze their metabolic distribution and explore the associated enzymes and proteins.
Fig. 1. Detection of single-lysosome metabolome by SLMS. (Allemailem K S, et al., 2021)
Our services for Lysosomalomics Analysis
Traditional approaches to study proteins, lipids, and metabolites in organelles include the use of microcentrifugation or density gradient centrifugation to separate subcellular compartments. However, heterogeneity makes the study of individual lysosomal proteins, lipids and metabolites crucial to further reveal the function and regulation of lysosomes. With many years of experience in lysosome engineering, CD BioSciences combines multi-omics to comprehensively analyze lysosomal metabolism and lipid profiles, as well as explore related enzymes and proteins.
Lysosomes exhibit great heterogeneity in size, morphology and number per cell. We combine genomic, transcriptomic, proteomic, metabolomic, and lipidomic technologies to classify lysosomes, probe the ability of lysosome type-specific changes, and screen key metabolic pathways or protein, gene, metabolic, and lipid products for subsequent in-depth experimental analysis and application. Our goal is to provide researchers with a basis for labeling these lysosomes and determining their specific functions by characterizing their multi-omics profile. Here, our lysosome structural analysis services include but are not limited to:
Available Advantages
- Advanced lysosomal multi-omics mass spectrometry platform.
- Integrating different levels of expression level analysis to enable full-spectrum analysis of the histology.
- Simultaneous investigation of biological questions from both "cause" and "effect" directions, with more obvious validation of each other.
- Analyzing the molecular regulation-phenotype correlation mechanism, and systematically analyze the lysosomal biomolecular function and regulation mechanism.
- From the massive data, we can identify the authenticity and select the key metabolic pathways or genes and metabolites for subsequent in-depth experimental analysis and application.
CD BioSciences continues to exploit the potential of lysosomes in an iterative process of insight and innovation. We are committed to providing professional and economical lysosome service projects to global customers. Each project will be custom designed to the client's requirements and described in a detailed project report. We look forward to working with you to discover the charm of lysosomes in our cooperation. If you are interested in our services, please feel free to contact us.
Reference
- Zhu H, Li Q, Liao T, et al. (2021) Metabolomic profiling of single enlarged lysosomes. Nat Methods. 18(7): 788-798.