The transcriptome, which represents the intermediate state of gene expression, is a collection of comprehensive transcriptional data about a cell at a specific developmental stage or physiological condition. The broad study of tiny molecules (commonly referred to as metabolites) in cells, biological fluids, tissues, or organisms is known as metabolomics. Correlating gene expression and metabolic phenotypes for combined analysis helps to rapidly target key genes and metabolic pathways.
Our company provides a specialized integrated metabolomic and transcriptomic analysis service that integrates metabolomic and transcriptomic data through metabolic pathways to find genes and metabolites involved in significant changes in the same biological process, enabling quick targeting of key genes.
Service Overview
Our company provides one-stop integrated analysis services for transcriptomics and metabolomics, from experimental design, and sample detection to data analysis, to meet various assay needs. We integrate transcriptomics and metabolomics analysis, normalize and statistically analyze batch data from transcriptome and metabolome, and establish data relationships between different levels of molecules.
We also combine functional analysis, metabolic pathway enrichment, molecular interactions and other biofunctional analysis to systematically and comprehensively analyze biomolecular functions and regulatory mechanisms, and finally achieve a comprehensive understanding of the general trends and directions of biological changes, and then propose a model of molecular biological change mechanisms, and screen out key metabolic pathways or genes and metabolites for subsequent in-depth experimental analysis and application.
Our company will eventually provide a detailed technical report that includes:
- Experimental procedures
- Relevant experimental parameters
- Mass spectra graph
- Raw data
- Transcriptomics and metabolomics analysis results
Research Capabilities
Our company's services are analyzed as follows.
| 1. Correlation analysis of differential genes. | a. Expression fpkm values for each sample of differential genes.
b. Differential gene correlation analysis results.
c. Correlation analysis filtering and heat map analysis. |
| 2. Correlation analysis between differential metabolites. | a. Correspondence between transcriptome and metabolome samples.
b. Metabolite screening based on differential m/z annotation results. |
| 3. Significant differential gene and metabolite pathway statistics. |
| 4. Differential gene-differential metabolite correlation analysis. | a. Results of differential gene-differential metabolite correlation analysis and screening.
b. Heat map analysis.
c. Network diagram analysis results. |
Service Process
Fig.1 Technical route to integrated metabolomic and transcriptomic analysis services.
Sample Requirements
- Transcriptome sequencing samples: Cells, tissues, whole blood, total RNA, etc.
- Recommended starting amount of total RNA: 2 μg, minimum 1 μg, concentration ≥ 50 ng/μL
- Metabolomic samples: Cells, tissues, urine, whole blood, serum, plasma, etc.
- Recommended starting volume (single): Plasma or serum > 300 μL, urine > 5 mL, tissue > 100 mg, cells > 107.
Technical Advantages
- We use comprehensive transcriptome data and the latest metabolome database to analyze the interconnection between transcriptome and metabolome throughout the year.
- We can achieve a full spectrum analysis of genes and metabolites by analyzing expression levels at different levels.
- Integrating transcriptomic and metabolomic data, we can dig deeper into the genes and metabolites involved in the regulatory process to reveal the real gene expression regulatory network.
- With mature research portfolio solutions, we helpsusers to publish their research results quickly.
If you are looking for smarter, higher quality solutions that incorporate best practices, please feel free to contact us.
Reference
- Bowen B. P, et al. (2010). "Dealing with the Unknown: Metabolomics and Metabolite Atlases." Journal of the American Society for Mass Spectrometry. 21(9): 1471-1476.
Related Services
It should be noted that our service is only used for research, not for clinical use.
