The cell is the most basic unit of the life activities and morphological structure of the organism, the life movement of the organism is realized at the cellular level, and the life activity and state of the cell affect the growth and differentiation, metabolism and reproduction, movement and communication, heredity and evolution, aging and death of the organism. The study of individual cells is of great significance for understanding life processes. Conventional metabolomics methods are homogenized for a large number of cells, so that cellular heterogeneous properties are ignored, and changes in metabolites in individual cells are essential for the study of physiological and pathological mechanisms. Single-cell metabolomics is one of the most powerful tools for high-throughput metabolite analysis at the single-cell level, which is essential for studying metabolism and cell function, cell development, cellular energy balance, and cell-to-cell interactions by identifying the composition and differences of metabolites within a single cell.
Figure Single-cell metabolomics service flow. （li et al, 2021）
Customer** order - confirmation of sample information and analysis needs - sample preparation - single-cell sorting - single-cell quenching - mass spectrometry analysis - qualitative and quantitative analysis of metabolites - univariate multivariate statistical analysis - differential metabolite analysis - function enrichment and annotation analysis - result delivery.
Our advantages
1. No need for labeling, can analyze multiple components at the same time;
2. The sensitivity of the detection is high, which can fully cover the material content of a single cell;
3. Wide dynamic range, which can cover metabolites at different concentration levels;
4. Comprehensive data analysis to mine the information of substances of interest.
Applicable scenarios
1. Research on biomarkers;
2. Analysis of molecular mechanism and mechanism;
3. Research on targets;
4. Research on the mechanism of action.
Experimental cycle
In general, 30 working days from the receipt of the sample.
If the sample size is large, you need to coordinate the specific experiment cycle with the sales manager.
Sample Acceptance Criteria
Customer orders and fill in project information
To register or log in to our official website, please fill in the project name, select the project type, fill in the personal information and the specific information required to submit the project according to the page prompts, including:
1. Sample**, content, status and other basic information;
2. The specific needs of bio-information analysis.
Experiment information
During the experiment, the customer can log in to the management system at any time to view the real-time progress of the project. When the experiment is completed, the system will automatically notify the customer via SMS and send the experiment report to view**. After the experiment is completed, the test report and test results can be viewed or printed and permanently retained.
Experimental deliverables
1. Complete final report;
2. Experimental raw data;
3. The results of bioinformatics analysis include:
A. Data quality control analysis (QC, RSD);
b. Differential analysis of metabolites: (univariate statistical analysis of T test, PCA, OPLS-DA, differential metabolite heat map, differential metabolite volcano map, Wayne diagram, differential metabolite VIP map, etc.);
c. Functional annotation analysis: hierarchical clustering analysis, KEGG annotation analysis, KEGG enrichment analysis;
d. Advanced data analysis: regression analysis, trend cluster analysis, random forest analysis, ROC analysis.