Author

Rebekah L. Gundry

Medical College of WisconsinORCID 0000-0002-9263-833XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1 Neuroscience· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Assay:proteomics· 4 Research Focus:cell type annotation· 3 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Matthew WaasiD· 3 shared Jack LittrelliD· 2 shared Allison D. EbertiD· 1 shared Ellen Ngar-Yun PooniD· 1 shared Emily WelbyiD· 1 shared Erin M. KroppiD· 1 shared John A. CorbettiD· 1 shared Kenneth R. BoheleriD· 1 shared

Activity by Year

2019-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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3 shared papersBioinformatics

Matthew WaasORCID

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Author profile →

4 papers

Recent·Most cited

Astrocyte targeted SMN1 gene therapy and forskolin application improves astrocyte filopodia actin defects and motor neuron synaptic dysfunction in human SMA disease pathology

Emily Welby, Xiaojie Liu, Melinda S. Wojtkiewicz, Linda Berg Luecke, Rebekah L. Gundry, Qingsong Liu, Allison D. Ebert

bioRxiv · Mar 27, 2026 · PreprintNeuroscience

CIRFESS: An interactive resource for querying the set of theoretically detectable peptides for cell surface and extracellular enrichment proteomic studies

Matthew Waas, Jack Littrell, Rebekah L. Gundry

CIRFESS identifies theoretically detectable peptides for cell surface and extracellular proteomic studies by integrating prediction strategies and annotations.

Journal of the American Society for Mass Spectrometry · Mar 26, 2020Peer-reviewedBioinformatics

SurfaceGenie: A web-based application for prioritizing cell-type specific marker candidates

Matthew Waas, Shana Terai Snarrenberg, Jack Littrell, Rachel A. Jones, Polly A. Hansen, John A. Corbett, Rebekah L. Gundry

SurfaceGenie prioritizes cell-type specific surface markers using GenieScore, demonstrating its utility on human and rodent data from cancer, stem cell, and islet biology.

Bioinformatics · Feb 5, 2020Peer-reviewedSystems Biology

Are these cardiomyocytes? Protocol development reveals impact of sample preparation on the accuracy of identifying cardiomyocytes by flow cytometry

Matthew Waas, Ranjuna Weerasekera, Erin M. Kropp, Marisol Romero‐Tejeda, Ellen Ngar-Yun Poon, Kenneth R. Boheler, Paul W. Burridge, Rebekah L. Gundry

The paper develops a standardized protocol for accurately identifying cardiomyocytes using flow cytometry by evaluating anti-troponin antibodies and sample preparation methods.

Stem Cell Reports · Jan 27, 2019Peer-reviewedDevelopmental Biology