We care for your samples from the start through to the result reporting. Highly experienced laboratory professionals follow strict quality procedures to ensure the integrity of your results.

Proteomics and metabolomics data are increasingly combined with genomics

information in multi-omics studies to enhance basic research and drug devel-

opment projects. BGI has pioneered the field of multi-omics and o�ers

advanced proteomics and bioinformatics solutions to support our clients’

research.

Liquid chromatography system: I-CLASS, ACQUITY UPLC, Transcend II,

Vanquish, LC-20AD XR, LC-20AD nano, Ultimate 3000, Ultimate 3000

nanoLC, Eksigent nanoLC, nano ACQUITY…

Orbitrap: Q Exactive HF-X, Q Exactive HF, Q Exactive, LTQ Orbitrap velos

ETD, Orbitrap Fusion Lumos

Triple Quad: SCIEX triple quadrupole series, Waters Xevo TQS, TQD, Thermo

TSQ Altis

Q-TOF: SCIEX triple TOF series, Waters Xevo G2-XS QTOF

MALDI-TOF: Bruker Ultraflextreme TOF/TOF

GC-MS: Agilent 7890B GC System/5977A MSD, Thermo TRACE 1300/TSQ

9000

ICP-MS: Agilent 7700 Series

We apply state-of-the-art LC-MS/MS systems and techniques to o�er validated

proteomics and metabolomics workflows including:

Instrumention

Embrace the Future of Multi-omics

SERVICE OVERVIEWMASS SPECTROMETRY PLATFORM

Experiment QC

Data QC

Delivery QC

SAMPLE PREPARATION

LC-MS/MS

RAW DATA OUTPUT

BIOINFORMATICSANALYSIS

· Protein identification — gel spot/band, proteome profiling

· Quantitative proteomics analysis — iTRAQ and DIA

· Targeted protein quantification and validation — MRM/PRM

· Post-translational modifications — phosphorylation, acetylation,

glycosylation, etc.

· Protein-protein interactions — IP/CO-IP

· Untargeted metabolomics — water/lipid soluble

· Targeted small molecule analysis (vitamins, amino acids,

hormone, etc.)

DIA (Data-independent acquisition) technology as a label-free quantitative method, overcoming the drawbacks of high expense and limitation on comparison group number of isotopes labeling, is ideal for large-scale protein identification and quantification to obtain information such as changes in protein expression levels.

Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry,

Nature communications, 2017.8 (BGI contribution No.10)

The study recruited 11 mass spectrometry laboratories in di�erent locations around the world and used the same experimen-

tal and analytical procedures to conduct a comprehensive assessment for SWATH (DIA) technology. This study evaluated the

protein datasets identified and quantified by all participants with reproducibility, linear dynamic range, and sensitivity very

close to SRM, the protein quantification gold standard. This study is the basis for the application of SWATH-MS technology in

the field of large-scale protein quantification.

Confidence from data performance and experiences

Figure 1. The number of proteins detected in SWATH-MS analyses is shown ordered by site of data collection.

Figure 2. The CV of protein abundances for the 4077 proteins that were detected in >80% all samples in di�erent sites.

DIA quantification in BGI shows high coverage and reproducibility

Mass Spectrometry Platform at BGI

Using a multi-omics approach to correlate transcriptomics with proteomics/metabolism data usually provides a more comprehensive overview of expression patterns and interpret deeper biological implications. As a genomics-based company, today we are ambitious in accelerating the development of multi-omics.

Mycorrhizal fungi colonize orchid seeds and induce germination. This symbiotic germination is a critical developmental

process in the lifecycle of all orchid species. Researchers found that 32 proteins were co-up-regulated at both the proteomic

and transcriptomic levels during symbiotic germination compared to asymbiotic germination. These proteins appear to

induce higher and earlier expression of some key proteins involved in lipid and carbohydrate metabolism and thus improves

the e�ciency of utilization of stored substances present in the embryo.

iTRAQ and RNA-Seq analyses provide new insights into regulation mechanism of symbiotic germination of Dendrobium

o�cinale seeds (Orchidaceae), Journal of proteome research, 2017.5 (BGI contribution)

Obtain a “panorama” of gene expression by proteome and transcriptome correlation analysis

MS Publications over the years

Figure 3. Comparison of expression ratios from transcriptomic (y-axis) and proteomic (x-axis) profiling based on quantitative proteins and correlated

genes at each compared group. Significant expression changes were labeled in colors: blue point, proteins only; green point, transcripts only; red

point, both. A1, A2 represent developmental stage 2, stage 3 in asymbiotic germination and S1, S2 represent stage 2, stage 3 in symbiotic germina-

tion. AG: asymbiotic germination; SG: symbiotic germination.

Among these, 85 are BGI indepen-dent publications with total IF 432;14 C-HPP feature articles

161 778Total IF

2009 20102011

20122013

2014

2015

2016

2017

2019

2018

Mass Spectrometry Platform at BGI

To learn more

To learn how your research can benefit from BGI’s extensive experience in proteomics, visit www.bgi.com, write to us viainfo@bgi-international.com or contact your local BGI o�ce.

BGI Americas

One Broadway, 14th Floor

Cambridge, MA 02142,

USA

Tel: +1 617 500-2741

BGI Europe

Ole Maaløes Vej 3,

DK-2200 Copenhagen N,

Denmark

Tel: +45 7026 0806

BGI Asia-Pacific

16 Dai Fu Street,

Tai Po Industrial Estate,

New Territories, Hong Kong

Tel: +852 36103510

We Sequence, You Discover

BGI Genomics BGI_Genomics BGIGenomics

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KobeWuhan

Shenzhen Hong Kong

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Brisbane

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Mass Spectrometry Platform at BGI

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and specifications in this publication are subject to change without notice.

Published May 2019, version 1.0

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