Genetically encoded assembly recorder temporally resolves cellular history

Y Yuqing Yan J Jiaxi Lu Z Zhe Li Z Zuohan Zhao T Timothy F. Shay S Shunzhi Wang Y Yaping Lei Y Yimei Wang W Wei Chen P Patrick Parker H Hongru Yang A Aileen Qi Y Yongzhi Sun D Dwight E. Bergles D David Baker D Dingchang Lin

Abstract

Abstract Cells constantly change their molecular state in response to internal and external cues 1 . Mapping cellular activity in tissues with spatiotemporal precision is essential for understanding organ physiology, pathology and regenerative processes. Current cell-sensing modalities primarily rely on either end point analysis that takes static snapshots 2 or real-time sensing that monitors a small subset of cells 3,4 . Here we introduce granularly expanding memory for intracellular narrative integration (GEMINI), an in cellulo recording platform that leverages a computationally designed protein assembly as an intracellular memory device to record the history of individual cells. GEMINI grows predictably within live cells, capturing cellular events as tree-ring-like fluorescent patterns for imaging-based retrospective readout. Absolute chronological information of activity histories is attainable with hour-level accuracy. GEMINI effectively maps differential NF-κB-mediated transcriptional changes, resolving fast dynamics of 15 min and providing quantifiable signal amplitudes. In a xenograft model, GEMINI records inflammation-induced signalling dynamics across tissue, revealing spatial heterogeneity linked to vascular density. When expressed in the mouse brain, GEMINI minimally impacts neuronal functions and can resolve both transcriptional changes and activity patterns of neurons. Together, GEMINI provides a robust and generalizable means for spatiotemporal mapping of cell dynamics underlying physiological and pathological processes in both culture and intact tissues.

Article Details

Journal Nature
Volume / Issue Vol. 652, Issue 8111
Published April 23, 2026
Pages 1049-1059
ISSN 0028-0836
Publisher Nature Portfolio

Journal Info

Nature

Nature Portfolio

ISSN: 0028-0836 Health Sciences

Authors (16)

Y

Yuqing Yan

J

Jiaxi Lu

Z

Zhe Li

Z

Zuohan Zhao

T

Timothy F. Shay

S

Shunzhi Wang

Y

Yaping Lei

Y

Yimei Wang

W

Wei Chen

P

Patrick Parker

H

Hongru Yang

A

Aileen Qi

Y

Yongzhi Sun

D

Dwight E. Bergles

D

David Baker

D

Dingchang Lin