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bioRxiv · 10.1101/575969

SurfaceGenie: A web-based application for integrating predictive and experimental data for rational candidate surface marker prioritization

Waas, M.·Terai Snarrenberg, S.·Littrell, J.·Jones Lipinski, R.·Hansen, P.·Corbett, J.·Gundry, R.
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Abstract

MotivationCell-type specific surface proteins can be exploited as valuable markers for a range of applications including immunophenotyping live cells, targeted drug delivery, and in vivo imaging. Despite their utility and relevance, the unique combination of molecules present at the cell surface are not yet described for most cell types. A significant challenge in analyzing omic discovery datasets is the selection of candidate markers that are most applicable for downstream applications. ResultsHere, we developed GenieScore, a prioritization metric that integrates a consensus-based prediction of cell surface localization with user-input data to rank-order candidate cell-type specific surface markers. In this report, we demonstrate the utility of GenieScore for analyzing human and rodent data from proteomic and transcriptomic experiments in the areas of cancer, stem cell, and islet biology. We also demonstrate that permutations of GenieScore, termed IsoGenieScore and OmniGenieScore, can efficiently prioritize co-expressed and intracellular cell-type specific markers, respectively. Availability and ImplementationCalculation of GenieScores and lookup of SPC scores is made freely accessible via the SurfaceGenie web-application: www.cellsurfer.net/surfacegenie.

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Waas, M., Terai Snarrenberg, S., Littrell, J., Jones Lipinski, R., Hansen, P., Corbett, J., Gundry, R.. 2019-03-12. SurfaceGenie: A web-based application for integrating predictive and experimental data for rational candidate surface marker prioritization. https://doi.org/10.1101/575969

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