Griddient: a microfluidic array to generate reconfigurable gradients on-demand for spatial biology applications

Area of Science:

• Biotechnology
• Microfluidics
• Cancer Research

Background:

• Biological tissues feature complex spatial-temporal gradients crucial for physiological and pathological processes.
• Existing in vitro models fail to accurately replicate these dynamic microenvironmental gradients, limiting research.
• Challenges include lack of dynamic control, complexity, and poor suitability for high-throughput applications.

Purpose of the Study:

• To design and validate Griddent, a novel platform for generating controllable and reversible gradients in a 3D microenvironment.
• To overcome the limitations of current in vitro technologies in mimicking complex biological gradients.
• To enable advanced studies in spatial biology, including cancer progression.

Main Methods:

• Development of the Griddent platform, featuring an array of 32 microfluidic chambers.
• Integration with a 384-well array via optimized diffusion ports for gradient stability and loading.
• Compatibility with various microscopy techniques and spatial biology applications.

Main Results:

• Successful design and implementation of a user-friendly platform for generating stable 3D gradients.
• Demonstrated capability for controllable and reversible gradient generation.
• Platform validated for studying complex biological processes, with application in cancer progression research.

Conclusions:

• Griddent offers a significant advancement in in vitro modeling of biological microenvironments.
• The platform facilitates high-throughput, dynamic studies of gradient-dependent biological phenomena.
• Griddent is a valuable tool for investigating cancer progression and other complex biological processes.