henhaobio
Sign in

bioRxivBiophysics

A Genetically Encoded BRET-based SARS-CoV-2 Mpro Protease Activity Sensor

A. M. Geethakumari, W. S. Ahmed, S. H. Rasool, A. H. Fatima, S. M. N. Uddin, M. H. Aouida, K. H. Biswas

PDFDOIPreprint

Abstract

The SARS-CoV-2 main protease, Mpro, is critical for its replication and is an appealing target for designing anti-SARS-CoV-2 agents. In this regard, a number of assays have been developed based on its cleavage sequence preferences to monitor its activity. These include the usage of Fluorescence Resonance Energy Transfer (FRET)-based substrates in vitro and a FlipGFP reporter, one which fluoresces after Mpro-mediated cleavage, in live cells. Here, we have engineered a pair of genetically encoded, Bioluminescence Resonance Energy Transfer (BRET)-based sensors for detecting SARS-CoV-2 Mpro proteolytic activity in living host cells as well as in vitro assays. The sensors were generated by sandwiching Mpro N-terminal autocleavage sites, either AVLQSGFR (short) or KTSAVLQSGFRKME (long), in between the mNeonGreen and nanoLuc proteins. Co-expression of the sensor with the Mpro in live cells resulted in its cleavage in a dose- and time-dependent manner while mutation of the critical C145 residue (C145A) in Mpro completely abrogated the sensor cleavage. Importantly, the BRET-based sensors displayed increased sensitivities and specificities as compared to the recently developed FlipGFP-based Mpro sensor. Additionally, the sensors recapitulated the inhibition of Mpro by the well-characterized pharmacological agent GC376. Further, in vitro assays with the BRET-based Mpro sensors revealed a molecular crowding-mediated increase in the rate of Mpro activity and a decrease in the inhibitory potential of GC376. The sensor developed here will find direct utility in studies related to drug discovery targeting the SARS-CoV-2 Mpro and functional genomics application to determine the effect of sequence variation in Mpro.

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISFatima '26Hou '22Ma '20Moghadasi '20Issa '25Rossetti '20
76% semantic matchBiophysics
Asma Fatima, Anupriya M. Geethakumari, S.M. Nasir Uddin+6 more·Biosensors and Bioelectronics·May 23, 2026· 2 citations