ArticleNature chemical biology2026
Genetic recording and in situ readout of single-cell signaling memory.
Article in Nature chemical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Intensity and duration of biological signals encode a few pathways to direct diverse cellular behaviors, yet quantifying these features in single cells remains difficult. To address this challenge, we developed INSCRIBE, which uses a CRISPR base editor to mutate genomic targets at rates proportional to signaling activity. Edits are recovered at the endpoint through a new ratiometric readout strategy from images of two fluorescence channels. We engineered human cells to record WNT and BMP activity. Following defined exogenous stimulations, INSCRIBE accurately recovered signal intensity in dose-response experiments and exposure duration in time-course experiments. Applying INSCRIBE revealed a persistent memory in the BMP pathway, where progeny of high-responding cells remained more sensitive to subsequent BMP stimulation for up to 3 weeks. Together, our results establish a scalable platform for genetic recording and in situ readout of signaling activity in single cells, advancing quantitative analysis of cell-cell communication during development and disease.
Identifiers
41813882What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.