Intensity modulation of trichromatic split fluorescent proteins for live cell mapping

Current fluorescent protein-based multiplexed cell labeling techniques suffer from limited discrimination power due to stochastic color selection and large gene sizes from tandem repeats of multiple fluorescent proteins. We developed Caterpie, a rationally designed system using engineered split fluorescent proteins that enables deterministic identification of 20 distinct cell populations with 97% accuracy and reduced gene sizes. Through computational structure-guided design, we engineered enhanced split mNeonGreen3A and split sfCherry3C variants that achieve performance comparable to split CFP2, the best-performing split fluorescent protein. Our systematic library of trichromatic 11th β-strand tags with up to 12 tandem repeats enables predictable, high-fidelity labeling for precise cell targeting. This technology addresses critical limitations in simultaneous identification of multiple defined cell populations.

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Publication Details

Journal
Cell Reports Methods
Published
2026-03-01
DOI
https://doi.org/10.1016/j.crmeth.2026.101363
Primary Topic
Advanced Fluorescence Microscopy Techniques
Type
article
Field-Weighted Citation Impact
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article

Intensity modulation of trichromatic split fluorescent proteins for live cell mapping

Brian Kuhlman, K. Roger Aoki, Tomoaki Kinjo, Akihiro MATSUDA et al.
Cell Reports Methods
Advanced Fluorescence Microscopy Techniques
article

Intensity modulation of trichromatic split fluorescent proteins for live cell mapping

Brian Kuhlman, K. Roger Aoki, Tomoaki Kinjo, Akihiro MATSUDA, Yohei Kondo, Kenta Terai, Mamoru Ishii
article en

Abstract

Current fluorescent protein-based multiplexed cell labeling techniques suffer from limited discrimination power due to stochastic color selection and large gene sizes from tandem repeats of multiple fluorescent proteins. We developed Caterpie, a rationally designed system using engineered split fluorescent proteins that enables deterministic identification of 20 distinct cell populations with 97% accuracy and reduced gene sizes. Through computational structure-guided design, we engineered enhanced split mNeonGreen3A and split sfCherry3C variants that achieve performance comparable to split CFP2, the best-performing split fluorescent protein. Our systematic library of trichromatic 11th β-strand tags with up to 12 tandem repeats enables predictable, high-fidelity labeling for precise cell targeting. This technology addresses critical limitations in simultaneous identification of multiple defined cell populations.

Cell Reports Methods
University of North Carolina at Chapel Hill (US), Kyoto University (JP), Nagoya University (JP), Tokushima University (JP)
Openalex Percentile: Top 6%
Advanced Fluorescence Microscopy Techniques
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