Improved Optical Multiplexing with Temporal DNA Barcodes.

Area of Science:

• Biophysics
• Molecular Biology
• Nanotechnology

Background:

• Studying complex biological dynamics requires advanced microscopy techniques.
• Optical multiplexing in fluorescence microscopy faces challenges with simultaneous observation of multiple targets.
• Existing multiplexing methods often involve complex procedures, multiple reporters, or intricate nanostructure assembly.

Purpose of the Study:

• To develop a simplified and efficient method for optical multiplexing.
• To enable simultaneous study of multiple biological objects using a time-based approach.
• To create unique temporal barcodes for each DNA device using a single fluorescent reporter.

Main Methods:

• Programming short DNA strands (DNA devices) to undergo unique conformation changes.
• Utilizing universal fluorescent reporters that bind transiently to DNA devices.
• Modeling DNA device behavior using continuous-time Markov chains and stochastic simulation.
• Employing nanostructure-based devices and machine learning for barcode classification.

Main Results:

• Demonstrated distinct temporal barcodes from a small set of DNA devices using a single dye color.
• Designed a larger library of temporal barcodes using nanostructure-based devices.
• Successfully used machine learning to classify these temporal barcodes.
• Validated the feasibility of the time-based approach through simulations.

Conclusions:

• The proposed time-based approach offers improved optical multiplexing with minimal effort and inexpensive reporters.
• DNA devices programmed with unique hybridization kinetics generate distinct temporal barcodes.
• This method holds promise for advancing fluorescence microscopy and studying dynamic biological processes.