Scalable and multiplexed recorders of gene regulation dynamics across weeks

"Gene expression is dynamically regulated by gene regulatory networks comprising multiple regulatory components to mediate cellular functions1. An ideal tool for analyzing these processes would track multiple-component dynamics with both spatiotemporal resolution and scalability within the same cells, a capability not yet achieved. Here, we present CytoTape, a genetically encoded, modular protein tape recorder for multiplexed and spatiotemporally scalable recording of gene regulation dynamics continuously for up to three weeks, physiologically compatible, with single-cell, minutes-scale resolution."

"An ideal tool for analyzing these processes would track multiple-component dynamics with both spatiotemporal resolution and scalability within the same cells, a capability not yet achieved. Here, we present CytoTape, a genetically encoded, modular protein tape recorder for multiplexed and spatiotemporally scalable recording of gene regulation dynamics continuously for up to three weeks, physiologically compatible, with single-cell, minutes-scale resolution. CytoTape employs a flexible, thread-like, elongating intracellular protein self-assembly engineered via computationally assisted rational design, built on earlier XRI technology2."

Gene regulatory networks dynamically control gene expression through multiple interacting components that mediate cellular functions. CytoTape is a genetically encoded, modular protein tape recorder that records multiple regulatory-component dynamics with spatiotemporal scalability within the same cells. CytoTape supports continuous recording for up to three weeks while remaining physiologically compatible and providing single-cell, minutes-scale temporal resolution. The system uses a flexible, thread-like, elongating intracellular protein self-assembly constructed by computationally assisted rational design and builds on prior XRI technology. CytoTape enables multiplexed, long-duration tracking of gene regulation dynamics with high spatial and temporal fidelity.

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