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    Integrative Transcriptomics-Metabolomics Analysis Service

      Transcriptomics is the collection of complete transcription information within cells at specific developmental stages or physiological conditions, representing the intermediate state of gene expression. Metabolomics is the large-scale study of small molecules (commonly referred to as metabolites) within cells, biofluids, tissues, or organisms. Metabolites are the final products of gene transcription under internal and external regulation and are the material basis of an organism's phenotype. By performing integrated analysis of transcriptomics and metabolomics on biological samples, the intrinsic changes of organisms can be analyzed from both causal and resultant levels, allowing for a more systematic and comprehensive understanding of molecular functions and regulatory mechanisms. This enables the prediction of major trends and directions of biological changes, the proposal of models for molecular biological change mechanisms, and the selection of key metabolic pathways, genes, or metabolites for further in-depth research and application.

       

      MtoZ Biolabs' transcriptome sequencing service, based on the Illumina high-throughput sequencing platform, can detect the overall transcription levels of any species at the single nucleotide level. Combined with metabolomics analysis services based on various technical means such as GC-MS, LC-MS, and NMR, targeted and untargeted metabolomics analysis of multiple samples can be achieved. Integrating customizable bioinformatics analysis methods, MtoZ Biolabs provides you with a one-stop integrated analysis service of transcriptomics and metabolomics from experimental design, sample detection, to data analysis, meeting various detection needs.

       

      Deliverables

      In the technical report, MtoZ Biolabs will provide you with detailed technical information, including:

      1. Experimental Procedures

      2. Related Experimental Parameters 

      3. Mass Spectrometry Images

      4. Raw Data

      5. Results of Transcriptomics and Metabolomics Analysis

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