Metaproteomics

Service Description

BGI has extensive experience in the field of metaproteomics spanning microorganisms research across human fecal samples, water samples, and fermentation liquor samples.

 

Metaproteomics

Since its inception in 2004, metaproteomics aims at the large-scale characterization of all proteins expressed by environmental microbiota at a given point in time, which can better promote the in-depth study of the diversity, structure and potential gene function of the microbial community1.

Project Workflow

DDA analysis can be carried out if there are no suitable library construction samples:






Protein extraction

Protein digestion

Individual samples

LC-MS/MS (DDA)

DIA analysis can be carried out if there are suitable library construction samples:

References

[1] Kleiner M. Metaproteomics: Much More than Measuring Gene Expression in Microbial Communities. mSystems. 2019 May-Jun; 4(3): e00115-19.

How to order

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Mass Spectrometry Service Specification

Metaproteomics services are performed using nano-flow liquid chromatography and cutting-edge mass spectrometer (Q Exactive HF/HF-X and Orbitrap Fusion Lumos).

  • Sample Preparation and Services

    Sample Preparation and Services

    • The QC analysis of enzymatic hydrolysis is strictly controlled by LC-MS
    • DDA-Spectral Library generated using HPLC technology and sample fractionation
  • Quality Standard

    Quality Standard

    • Summary includes all methods and data analysis
    • Reports provided in Excel or PDF format, RAW files available upon request
  • Turn Around Time

    Turn Around Time

    • Typical 4-5 weeks from sample QC acceptance to data report delivery

Sample Requirements

We accept protein samples in a variety of formats. For attaining maximum proteome coverage, we recommend utilizing our sample fractionation services, performed using our off-line HPLC platform.

Please be sure to send the sample after enrichment.

Data Analysis

Data Analysis

  • Data analysis and validation performed with Mascot

  • Protein Analysis

  • Species analysis

  • Diversity analysis

  • Function Analysis

  • Correlation Analysis

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