Transcriptome/Proteome + Metabolome

Service Description

BGI offers multi-omics services to look across genomics, transcriptomics, epigenomics, proteomics and metabolomics, with the flexibility to customize solutions that meet your specific needs. All projects are supported by a bioinformatics infrastructure that is second to none.

Transcriptome/Proteome + Metabolome Correlation Analysis

Transcriptome/Proteome + metabolome correlation analysis enables researchers to explore the biological problems from the two directions of “cause” and “result”, and understand the regulation mechanism of biological system and explain the influence of gene function and environmental factors on biological phenotype1,2.

Project Workflow


[1] Gao H Y. et al. Transcriptomics and metabolomics analyses reveal the differential accumulation of phenylpropanoids between Cinnamomum cassia Presl and Cinnamomum cassia Presl var. macrophyllum Chu. Industrial Crops and Products, Volume 148, 2020, 112282, ISSN 0926-6690, doi: 10.1016/j.indcrop.2020.112282.
[2] Li Y N, Chen X. et al. Hepatotoxicity study of combined exposure of DEHP and ethanol: A comprehensive analysis of transcriptomics and metabolomics. Food Chem Toxicol. 2020 Jul; 141: 111370. doi: 10.1016/j.fct.2020.111370.

How to order

Request a Quote

Send us a no obligation request for quote and our dedicated sales team will reply to you within 24 hours.

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Mass Spectrometry Service Specification

Transcriptome sequencing platform: 16S/Metagenome services.
Proteome platform: Untargeted and Targeted Quantitative Proteomics services.
Metabolome platform: Untargeted/Targeted Metabolomics and Lipidomics services.

  • Quality Standard

    Quality Standard

    • Summary includes data analysis
    • Reports provided in PDF format, RAW files available upon request
  • Turn Around Time

    Turn Around Time

    • Typical 2 weeks from LC-MS/MS raw data acceptance to data report delivery

Sample Requirements

Sample selection for Transcriptome/Proteome and Metabolome should be as consistent as possible. At least 2 groups. At least 3 biological replicates in each group.

Data Analysis

Data Analysis

  • Correlation cluster analysis

  • Correlation network interaction analysis

  • sPLSDA analysis

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