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DOI 10.64898/2026.06.26.734876

Медицинская библиотека · bioRxiv : the preprint server for biology · 2026

Genetic Code Expansion for Site-Specific Encoding of a Switchable, Intrinsic Fluorophore-Quencher Pair to Monitor Protein Dynamics.

Giri Priyanda, Venkatesh Yarra, Mathis Moriah H, Hurley Christina M, Jones Chloe M, Eteme Olivier Ndogo, Hostetler Zachary M, Cooley Richard B, Kohli Rahul M, Mehl Ryan A, Petersson E James

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Аннотация

Precisely modifying proteins at multiple sites in their native, folded structures offers unique opportunities to answer molecular and cellular-level biological questions. Here, we present a genetic code expansion strategy for site-specific integration of a fluorophore-quencher pair comprising two non-canonical amino acids-acridonylalanine (Acd) and methyltetrazinyl phenylalanine (Tet)- into a protein expressed in E. coli. The Acd and Tet pair requires no post-translational labeling, and quenching can be switched off by biorthogonal or photochemical reactions of Tet for convenient internal control experiments. Mechanistic studies based on Stern-Volmer quenching, fluorescence lifetime measurements, and "proline ruler" peptides established the distance dependence of quenching. As proof-of-concept, we applied this strategy to study: 1) calmodulin, a calcium-sensing protein, 2) RecA, a DNA damage sensor in bacteria, and 3) LexA, a transcriptional repressor whose activation by RecA governs acquired antibiotic resistance in bacteria. Using these proteins, we demonstrate that dual Acd/Tet labeling provides molecular-level insights into protein dynamics, enables high-throughput drug screening, and advances tools for studying protein structure-function relationships.

Для цитирования: Giri Priyanda, Venkatesh Yarra, Mathis Moriah H, Hurley Christina M, Jones Chloe M, Eteme Olivier Ndogo, Hostetler Zachary M, Cooley Richard B, Kohli Rahul M, Mehl Ryan A, Petersson E James. Genetic Code Expansion for Site-Specific Encoding of a Switchable, Intrinsic Fluorophore-Quencher Pair to Monitor Protein Dynamics.. bioRxiv : the preprint server for biology. 2026. DOI: 10.64898/2026.06.26.734876.
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