Scalable and multiplexed recorders of gene regulation dynamics across weeks

Gene expression is dynamically controlled by gene regulatory networks comprising multiple regulatory components to mediate cellular functions<sup>1</sup>. An ideal tool for analysing these processes would track multi-component dynamics with both spatiotemporal resolution and scalability within the same cells, a capability not yet achieved. Here we present CytoTape, a genetically encoded, physiologically compatible, modular protein tape recorder for multiplexed and spatiotemporally scalable recording of gene regulation dynamics continuously for up to 3 weeks, with single-cell, up to minutes-scale resolution. CytoTape uses a flexible, thread-like, elongating intracellular protein self-assembly engineered via computationally assisted rational design, built on our earlier XRI technology<sup>2</sup>. We demonstrate its utility across multiple mammalian cell types, achieving simultaneous recording of five transcription factor activities and gene transcriptional activities. CytoTape reveals that divergent transcriptional trajectories correlate with transcriptional history and signal integration, and that distinct immediate early genes (IEGs) exhibit complex temporal correlations within single cells. We further extended CytoTape into CytoTape-vivo for scalable, spatiotemporally resolved single-cell recording in the living brain, enabling simultaneous weeks-long recording of doxycycline-dependent and IEG promoter-dependent gene expression histories across up to 14,123 neurons spanning multiple brain regions per mouse. Together, the CytoTape toolkit establishes a versatile platform for scalable and multiplexed analysis of cell physiological processes in vitro and in vivo.

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Publication Details

Journal
Nature
Published
2026-01-26
DOI
https://doi.org/10.1038/s41586-026-10156-9
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
22.24
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article

Scalable and multiplexed recorders of gene regulation dynamics across weeks

Bingxin Zhou, Michael T. Roberts, Boxuan Chang, Jason Ken Adhinarta et al.
1 citations
Nature
Single-cell and spatial transcriptomics
22.24
article

Scalable and multiplexed recorders of gene regulation dynamics across weeks

Bingxin Zhou, Michael T. Roberts, Boxuan Chang, Jason Ken Adhinarta, Changyang Linghu, Sethuramasundaram Pitchiaya, Bumjin Ko, Lirong Zheng, Denise J. Cai, Mehul Gautam, William Joesten, Eung Chang Kim, Bobae An, Jormay Lim, Emily Klyder, Yongjie Hou, Yixiao Yan, Dongqing Shi, Pietro Liò, Elie D. M. Huez, Edward S. Boyden, Donglai Wei, Michael Lin
article en
1 citations

Abstract

Gene expression is dynamically controlled by gene regulatory networks comprising multiple regulatory components to mediate cellular functions<sup>1</sup>. An ideal tool for analysing these processes would track multi-component dynamics with both spatiotemporal resolution and scalability within the same cells, a capability not yet achieved. Here we present CytoTape, a genetically encoded, physiologically compatible, modular protein tape recorder for multiplexed and spatiotemporally scalable recording of gene regulation dynamics continuously for up to 3 weeks, with single-cell, up to minutes-scale resolution. CytoTape uses a flexible, thread-like, elongating intracellular protein self-assembly engineered via computationally assisted rational design, built on our earlier XRI technology<sup>2</sup>. We demonstrate its utility across multiple mammalian cell types, achieving simultaneous recording of five transcription factor activities and gene transcriptional activities. CytoTape reveals that divergent transcriptional trajectories correlate with transcriptional history and signal integration, and that distinct immediate early genes (IEGs) exhibit complex temporal correlations within single cells. We further extended CytoTape into CytoTape-vivo for scalable, spatiotemporally resolved single-cell recording in the living brain, enabling simultaneous weeks-long recording of doxycycline-dependent and IEG promoter-dependent gene expression histories across up to 14,123 neurons spanning multiple brain regions per mouse. Together, the CytoTape toolkit establishes a versatile platform for scalable and multiplexed analysis of cell physiological processes in vitro and in vivo.

Nature
Boston College (US), Howard Hughes Medical Institute (US), McGovern Institute for Brain Research (US), University of Cambridge (GB), University of Michigan (US), Michigan Medicine (US), Massachusetts Institute of Technology (US), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 2%
Single-cell and spatial transcriptomics
22.24
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