Evidence map›Paper›PMID 40060462›Full record

ArticlebioRxiv : the preprint server for biology2025

Genetically encoded protein oscillators for FM streaming of single-cell data.

Rohith Rajasekaran, Thomas M Galateo, Zhejing Xu, Dennis T Bolshakov, Elliott W Z Weix, Scott M Coyle

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rohith RajasekaranDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.
Thomas M GalateoDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.
Zhejing XuDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.
Dennis T BolshakovDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.
Elliott W Z WeixDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.
Scott M CoyleDepartment of Biochemistry, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA.

Funding

Chemistry-Biology Interface Training ProgramT32GM008505 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BLACKWELL, HELEN E. · 1993 to 2023
$9.8M
Biotechnology Training ProgramT32GM135066 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI SCOTT M. COYLE, BRIAN G FOX · 2020 to 2026
$7.0M
Cellular FM-radios: seeing, probing, and perturbing single-cell protein activity dynamics in biological systems with frequency-barcoded spatiotemporal signaling circuitsDP2GM154329 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI SCOTT M. COYLE · 2023 to 2026
$2.3M
Chemistry-Biology Interface Training ProgramT32GM152341 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Helen E. Blackwell · 2024 to 2026
$1.6M
NIGMS NIH HHS DP2 GM154329NIGMS NIH HHS T32 GM008505NIGMS NIH HHS T32 GM135066NIGMS NIH HHS T32 GM152341
6 · The paper itself

Abstract

Radios and cellphones use frequency modulation (FM) of an oscillating carrier signal to reliably transmit multiplexed data while rejecting noise. Here, we establish a biochemical analogue of this paradigm using genetically encoded protein oscillators (GEOs) as carrier signals in circuits that enable continuous, real-time FM streaming of single-cell data. GEOs are constructed from evolutionarily diverse MinDE-family ATPase and activator modules that generate fast synthetic protein oscillations when co-expressed in human cells. These oscillations serve as a single-cell carrier signal, with frequency and amplitude controlled by GEO component levels and activity. We systematically characterize 169 ATPase/activator GEO pairs and engineer composite GEOs with multiple competing activators to develop a comprehensive platform for waveform programming. Using these principles, we design circuits that modulate GEO frequency in response to cellular activity and decode their responses using a calibrated machine-learning model to demonstrate sensitive, real-time FM streaming of transcription and proteasomal degradation dynamics in single cells. GEOs establish a dynamically controllable biochemical carrier signal, unlocking noise-resistant FM data-encoding paradigms that open new avenues for dynamic single-cell analysis.

Identifiers

PMID40060462
PMCPMC11888400

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Registered trials

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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 OpenQuestion graph.