Proteome + Transcriptome

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.

Proteome + Transcriptome Correlation Analysis

Using a multi-omics approach to correlate transcriptomics with proteomics data provides a more comprehensive overview of expression patterns and enables researchers to interpret deeper biological implications1,2.

Project Workflow


[1] Becker K, Bluhm A, Casas-Vila N. et al. Quantifying post-transcriptional regulation in the development of Drosophila melanogaster. Nat Commun. 2018 Nov 26;9(1):4970.
[2] Dai F, Wang Z. et al. Transcriptomic and proteomic analyses of mulberry (Morus atropurpurea) fruit response to Ciboria carunculoides. J Proteomics. 2019 Feb 20;193:142-153.

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.

Create an Online myBGI Account

Create a myBGI account to view all our sample and shipping documentation and to manage your project moving forwards. It's quick, free and easy!

Mass Spectrometry Service Specification

Transcriptome sequencing platform: RNA-seq services.
Proteome platform: Untargeted and Targeted Quantitative Proteomics 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 and Proteome should be as consistent as possible. At least 2 groups. At least 3 biological replicates in each group.

Data Analysis

Data Analysis

  • Correlation at identification and quantitation level

  • Correlation at function level

  • Transcription factor association

  • Correlation at network level

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