Author

M. Rappleye

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioengineering· 3

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Assay:fluorescence / live-cell microscopy· 2 Organism:mouse· 2 Research Focus:cell signaling & trafficking· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1

Frequent Co-Authors

A. Berndt· 3 shared J. D. Lee· 3 shared N. Smith· 2 shared S. J. Wait· 2 shared A. Gordon-Fennel· 1 shared A. K. Matarasso· 1 shared A. Suko· 1 shared C. A. Zamorano· 1 shared

Activity by Year

2022-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersBioengineering

A. Berndt

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Machine Learning Ensemble Directed Engineering of Genetically Encoded Fluorescent Calcium Indicators.

S. J. Wait, M. Rappleye, J. D. Lee, N. Smith, A. Berndt

This study uses machine learning to predict and engineer improved fluorescent calcium indicators, identifying variants with faster kinetics and larger responses.

Nature Computational Science · Mar 21, 2024Peer-reviewedBioengineering

Structure-guided engineering of a fast genetically encoded sensor for real-time H2O2 monitoring.

J. D. Lee, W. Won, K. Kimball, Y. Wang, F. Yeboah, K. Evitts, C. Neiswanger, S. Schattauer, M. Rappleye, S. B. Bremner, C. Chun, N. Smith, D. L. Mack, J. E. Young, C. J. Lee, , A. Berndt

This paper develops a fast, sensitive genetically encoded H2O2 sensor (oROS-G) and demonstrates its use in monitoring H2O2 dynamics in various cell types and models.

bioRxiv · Jan 31, 2024 · PreprintBioengineering

Opto-MASS: a high-throughput engineering platform for genetically encoded fluorescentsensors enabling all optical in vivo detection of monoamines and neuropeptides

M. Rappleye, A. Gordon-Fennel, D. C. Castro, A. K. Matarasso, C. A. Zamorano, C. Stine, S. J. Wait, J. D. Lee, J. D. Siebart, A. Suko, N. C. Smith, J. Muster, K. A. Matreyek, D. M. Fowler, G. D. Stuber, , A. Berndt

The paper introduces Opto-MASS, a high-throughput platform for engineering fluorescent sensors to detect monoamines and neuropeptides in vivo by screening thousands of variants in mammalian cells.

bioRxiv · Jun 1, 2022 · PreprintBioengineering