This service offers identification and quantification of the proteome in your complex samples without chemical modifications. The data generated by this service is a complete catalogue of the proteins present in your samples together with a statistical analysis result demonstrating the abundance of each identified protein in your samples. This service enables researchers to compare the proteome difference in their treated vs untreated, diseased vs normal, over-expressed vs control, gene silenced vs control, knockout vs wild type, mutant vs wild type groups, etc, with a relatively good accuracy. For better accuracy and reproducibility, please refer to our TMT Labeling Quantification Service. ​ Your samples (several test groups and control group) will be digested with Trypsin and cleaned by C18 cartridges. To improve the sensitivity, we suggest the basic Reverse Phase LC (bRPLC) to further fractionate the cleaned sample into 96 fraction and then pooled to 24 fractions, which are subject to 24 Mass Spectrometry Analysis runs by the world’s most advanced Orbitrap LC-MS/MS system.

Data analysis, including data validation, visualization and quantification, are performed with commercial softwares and Complete Omics’ unique R packages and scripts. Report will be sent to you in Excel format as well as a summary in PDF format. We will also provide you any details you need for your papers’ MATERIALS AND METHODS section. We will make sure you understand your result and help you with your paper writing with free follow-up services.

Sample types we accept:

1, 2D gel spots, SDS-PAGE bands

2, Cell Lysates and Tissue Lysates

3, Biofluids, such as plasma*, serum*, saliva, tear, etc.

*We provide High Abundance Protein Depletion Service to significantly (100-500 folds) increase the depth of your biofluid proteomics analysis by removing top abundant proteins from your samples. Read more for details​.

4, FFPE slide/ FFPE extract

5, Customized sample types (please contact us to discuss)

Collaboration with Yale University

Sept 16, 2021 | BALTIMORE –  Complete Omics’ Clinical Proteomics team announced a collaboration with Professor Dianqing (Dan) Wu from Yale University on a series of quantitative proteomics focusing on leveraging…

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Collaboration with Taipei Medical University

Aug 30, 2021 | BALTIMORE –  Complete Omics’ Clinical Genomics team announced a collaboration with Professor Ching-shuen Wang from Taipei Medical University on a series of RNA-seq projects leveraging our…

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Collaboration with Duke University

July 18, 2021 | BALTIMORE –  Complete Omics’ Clinical Proteomics team announced a collaboration with Dr. Yiping He from Duke University on a series of grants focusing on leveraging our…

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