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Imaging the cellular dynamics of metabolites and signaling molecules is critical for understanding various metabolism and signal transduction pathways. Genetically encoded RNA-based sensors are emerging powerful tools for this purpose. However, it was challenging to use these sensors to precisely determine the intracellular concentrations of target analytes. To solve this problem, we have recently developed ratiometric sensors using an orthogonal pair of RNA/fluorophore conjugates: Broccoli/DFHBI-1T (3,5-difluoro-4-hydroxybenzylidene-1-trifluoroethyl-imidazolinone) and DNB (dinitroaniline-binding aptamer)/SR-DN (sulforhodamine B-dinitroaniline). The cellular DNB-to-Broccoli fluorescence intensity ratio can be directly applied to quantify the target concentrations at the single-cell level. Unfortunately, due to the instability of the SR-DN dye, this ratiometric sensor is difficult to use for monitoring target dynamics. Herein, by replacing SR-DN with a stable TMR (tetramethylrhodamine)-DN dye, we developed a ratiometric sensor system based on Broccoli/DFHBI-1T and DNB/TMR-DN, which can be used for dynamic imaging in living cells. We believe these advanced genetically encoded ratiometric sensors can be widely used for intracellular studies of various target analytes.
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http://dx.doi.org/10.1021/acsabm.9b01237 | DOI Listing |
bioRxiv
August 2025
Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
RNA-based biosensors have emerged as essential tools in synthetic biology and diagnostics, enabling precise and programmable responses to diverse RNA inputs. However, the time to design, produce, and screen high-performance RNA sensors remains a critical challenge. The fundamental rules governing RNA-RNA interactions-specifically the structure-function relationships that determine sensor performance-remain poorly understood.
View Article and Find Full Text PDFbioRxiv
August 2025
Department of Biomedical Engineering, Boston University, Boston, Massachusetts, 02215, United States.
Engineered programmable RNA sensors have been applied in low-cost diagnostics, endogenous RNA detection, and multi-input genetic circuits. However, designing, producing, and screening high-performance RNA sensors remains time consuming and labor intensive. Here, we present an automated plasmid assembly pipeline using liquid handling robotics to enable high-throughput construction of plasmids with arbitrary sequences.
View Article and Find Full Text PDFACS Sens
August 2025
Department of Biopharmacy, School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin 130021, China.
Aiming at realizing field detection during HIV-1 patient screening in developing countries and point of care testing (POCT) of virus levels in HIV-1 patients receiving medication, an urgent demand for portable nucleic acid detection technology with low cost and sensitivity is raised. To solve this, a CRISPR/Cas13a-based electrochemical detection platform by a multiple combined crRNAs strategy is developed. This sensing platform is based on the Ion Current Rectification regulation through a Porous Anodic Alumina membrane decorated with ssRNA chains, which are trans-cleavage substrates for activated Cas13a and become shorter when the target gene exists, resulting in an altered motion of transmembrane ions.
View Article and Find Full Text PDFDev Biol
October 2025
Laboratory for Soft Matter and Biophysics, Department of Physics and Astronomy, KU Leuven, Celestijnenlaan 200D, 3001, Leuven, Belgium. Electronic address:
RNA-based/associated biosensors represent a rapidly expanding area of research, providing highly sensitive tools for detecting and monitoring RNA in diverse biological contexts. These sensors offer the ability to track RNA localization, modifications, and interactions in real-time, making them particularly well-suited for developmental biology research. Despite their demonstrated utility in fields such as diagnostics, synthetic biology and environmental science, the application of RNA biosensors in developmental biology has only begun to emerge within the past decade.
View Article and Find Full Text PDFAnal Chem
September 2025
State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Cellular targets can be imaged using biosensors composed of RNA. However, current RNA-based sensors encounter several challenges, including low brightness, poor photostability, slow response kinetics, and green background noise. In addition, these sensors are often limited to detecting cellular single rather than multiple targets, or are unable to image targets within subcellular compartments.
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