Introduction:

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 Columbia University

Mar 30, 2022 | BALTIMORE –  Complete Omics’ Clinical Proteomics team announced a collaboration with Professor Kam W. Leong, Samuel Y. Sheng professor of Biomedical Engineering, and his team from…

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Collaboration with Tel Aviv University

Mar 20, 2022 | BALTIMORE –  Complete Omics’ Clinical Proteomics team announced a collaboration with Professor Miguel Weil from Department of Cell Research and Immunology at the Tel Aviv University…

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Detecting and Absolutely Quantifying Patient-specific Neoantigens from Limited Input of Biopsy Sample — An Integrated Pipeline for Neoantigen-targeted Cancer Treatments

Neoantigens derived from HERVs represent a new group of cancer therapeutic targets. In a collaborating project, Complete Omics identified and quantified HERVs derived neoantigens and provided solid evidence for developing…

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Some of our impacts