We have developed innovative solutions for optimizing the process of accurately quantifying proteins in complex biological matrices and other complex mixtures.
Label-Free DIA Quantitative Proteomics
Data-Independent Acquisition (DIA) is a label-free quantitative technique which provides highly consistent quantitation and broad proteome coverage1. We create a customized spectral library with your specific sample and then analyze individual samples using nano-flow LC-MS/MS with DIA scanning and quantitation2.
Label-Free DIA Quantitative Proteomics service is ideal for long-term projects or projects with large sample sets which require accurate and reproducible quantitation.
Project Workflow
Pooled samples
Individual samples
Sample preparation
HPLC-UV Fractionation
LC-MS/MS DDA Analysis
DDA library generation and updates
LC-MS/MS DIA analysis
Quantitation and bioinformatics
References
[1]. Wong, J. W. H., & Cagney, G. (2009). An Overview of Label-Free Quantitation Methods in Proteomics by Mass Spectrometry. Proteome Bioinformatics, 273–283.doi:10.1007/978-1-60761-444-9_18.
[2]. Searle BC, Pino LK, Egertson JD, Ting YS, Lawrence RT, MacLean BX, Villén J, MacCoss MJ. Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry. Nat Commun. 2018 Dec 3;9(1):5128. doi: 10.1038/s41467-018-07454-w.
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Mass Spectrometry Service Specification
Label-Free DIA Quantitative Proteomics services are performed using nano-flow liquid chromatography and high resolution Orbitrap mass spectrometry.
Sample Preparation and Services
Digestion performed using sequencing-grade trypsin or alternative proteolysis
DDA-Spectral Library generated using UHPLC-UV technology and sample fractionation
180 min nano-flow LC-MS/MS using a Q Exactive HF-X Orbitrap mass spectrometer
Mass Spec Services Quality Standard
Summary including all methods and data analysis
Reports provided in Excel or PDF format, RAW files available upon request
Turn Around Time
Typical 20 working days 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 UHPLC-UV platform.
Sample type
Amount and Concentration
Minimum sample volume
Protein sample in liquid solution
Recommended
400 µg with fractionation; 2 µg/µL
200 µL
Minimum Required
100 µg with fractionation; 1 µg/µL
100 µL
Data Analysis
Advanced Bioinformatics
GO (Gene ontology) category analysis
COG (Cluster of Orthologous Groups of proteins) category analysis