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PreprintCC BYbioRxiv

Biosensor-enabled single-molecule enzyme activity profiling for function-based molecular counting

3 more authors
  1. 1The University of Tokyo

Abstract

Single-molecule enzyme activity analysis enables proteoform-resolved quantification of catalytically active enzyme molecules but remains limited by the need for enzyme-specific fluorogenic substrates, particularly for enzymes involved in central metabolism. Here we establish a biosensor-based framework that integrates genetically encoded fluorescent metabolite biosensors with single-molecule enzyme activity profiling (SEAP), enabling native enzymatic reactions to be monitored without enzyme-specific fluorogenic substrates. By employing different biosensors, the framework was applied to distinct metabolic enzymes, including lactate dehydrogenase and pyruvate kinase. Biosensor-based SEAP enables absolute quantification of active enzyme molecules, transforming conventional activity measurements (U/mL) into molecular abundance (molecules/mL). Applying this approach to single-cell functional proteoform analysis revealed functional heterogeneity in lactate dehydrogenase activity during T-cell activation. In addition, analysis of circulating enzymes showed that much of the plasma lactate dehydrogenase pool could be quantitatively accounted for by physiological erythrocyte turnover. These results establish genetically encoded fluorescent protein-based metabolite biosensors as modular optical transducers for single-molecule functional enzyme analysis across cellular and circulating samples.

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BibTeX
@misc{komatsu2026biosensorenabled,
  title = {{Biosensor-enabled single-molecule enzyme activity profiling for function-based molecular counting}},
  author = {T. Komatsu and S. Imai and M. Tajima and Y. Sugiura and T. Iwasaka and M. Minoda and Y. Kagami and K. Honda and T. Terai and R. Tsuchiya and R. Kojima and Y. Urano and H. Kusuhara and T. Mizuno and R. E. Campbell},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.18.752564},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.18.752564v1},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - Biosensor-enabled single-molecule enzyme activity profiling for function-based molecular counting
AU  - T. Komatsu
AU  - S. Imai
AU  - M. Tajima
AU  - Y. Sugiura
AU  - T. Iwasaka
AU  - M. Minoda
AU  - Y. Kagami
AU  - K. Honda
AU  - T. Terai
AU  - R. Tsuchiya
AU  - R. Kojima
AU  - Y. Urano
AU  - H. Kusuhara
AU  - T. Mizuno
AU  - R. E. Campbell
PY  - 2026
DA  - 2026/09/18
PB  - bioRxiv
DO  - 10.64898/2026.09.18.752564
UR  - https://www.biorxiv.org/content/10.64898/2026.09.18.752564v1
AB  - Single-molecule enzyme activity analysis enables proteoform-resolved quantification of catalytically active enzyme molecules but remains limited by the need for enzyme-specific fluorogenic substrates, particularly for enzymes involved in central metabolism. Here we establish a biosensor-based framework that integrates genetically encoded fluorescent metabolite biosensors with single-molecule enzyme activity profiling (SEAP), enabling native enzymatic reactions to be monitored without enzyme-specific fluorogenic substrates. By employing different biosensors, the framework was applied to distinct metabolic enzymes, including lactate dehydrogenase and pyruvate kinase. Biosensor-based SEAP enables absolute quantification of active enzyme molecules, transforming conventional activity measurements (U/mL) into molecular abundance (molecules/mL). Applying this approach to single-cell functional proteoform analysis revealed functional heterogeneity in lactate dehydrogenase activity during T-cell activation. In addition, analysis of circulating enzymes showed that much of the plasma lactate dehydrogenase pool could be quantitatively accounted for by physiological erythrocyte turnover. These results establish genetically encoded fluorescent protein-based metabolite biosensors as modular optical transducers for single-molecule functional enzyme analysis across cellular and circulating samples.
ER  -