CellSurfer Platform v1.0 - Cell Surface N-glycoproteins

Lead Developer: Linda Berg Luecke

Combining our recent analytical and bioinformatic developments into a streamlined platform, CellSurfer, we can now efficiently complete discovery, data analysis, and cell-type specific marker prioritization in just 3 days.

Module 1: Prepare
Semi-automated discovery of cell surface N-glycoproteins from 100 - 1000 ug total protein (0.2 - 10 million cells) using microscale cell surface capture (uCSC). This method provides high specificity (>85%) capture of cell surface N-glycoproteins.

Module 2: Process
Veneer, an automated web-based bioinformatic tool, rapidly curates search engine results. Veneer enhances consistency in data curation, reduces curation time, calculates key parameters used to assess the quality of experimental output and aid in troubleshooting, and annotates the dataset to facilitate biological interpretation.

Module 3: Prioritize
Automated bioinformatic analyses with SurfaceGenie, CIRFESS, and VISUN to prioritize targets of interest for downstream applications.

Reference:

Berg Luecke L, Waas M, Littrell J, Castro C, Wojtkiewicz M, Burkovetskaya M, Schuette EN, Buchberger AR, Mahr C, Anderson DA, Boheler KR, Gundry RL, Surfaceome mapping of primary human heart cells with CellSurfer uncovers cardiomyocyte surface protein LSMEM2 and proteome dynamics in failing hearts. Nature Cardiovascular Research, 2023.