The single-cell proteomes enabled us to deconstruct cell populations and infer protein abundance relationships. Comparison between single-cell proteomes and transcriptomes indicated coordinated mRNA and protein covariation. Yet many genes exhibited functionally concerted and distinct regulatory patterns at the mRNA and the protein levels, suggesting that post-transcriptional regulatory mechanisms contribute to proteome remodeling during lineage specification, especially for developmental genes. Single-cell Proteomics is broadly applicable to measuring proteome configurations of single cells and linking them to functional phenotypes, such as cell type and differentiation potentials. Complete Omics is a pioneer in sensitive assay for trace amount of biological material, and our CompleteONE service is dedicated to offer single-cell proteomics in a qualitative and quantitative manner for any biological question you may have.

Data analysis, including data validation, visualization and quantification, are performed with commercial softwares and Complete Omics’ unique R packages and scripts dedicated to CompleteONE services. 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, Tissue culture for cells

2, Isolated single cell samples

3, 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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