Evidence map›Paper›PMID 40203826›Full record

ArticleCell2025

Fast, accurate, and versatile data analysis platform for the quantification of molecular spatiotemporal signals.

Xuelong Mi, Alex Bo-Yuan Chen, Daniela Duarte, Erin Carey, Charlotte R Taylor, Philipp N Braaker, Mark Bright, Rafael G Almeida, Jing-Xuan Lim, Virginia M S Ruetten and 15 more

Abstract read
In one paragraph

Article in Cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Xuelong MiBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA.
Alex Bo-Yuan ChenJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA; Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA; Graduate Program in Neuroscience, Harvard Medical School, Boston, MA 02115, USA.
Daniela DuarteWaitt Advanced Biophotonics Center, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Erin CareyWaitt Advanced Biophotonics Center, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA.
Charlotte R TaylorDepartment of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, CA, USA; Neuroscience Graduate Program, University of California, San Francisco, San Francisco, CA, USA.
Philipp N BraakerCentre for Discovery Brain Sciences, University of Edinburgh, Edinburgh BioQuarter, Edinburgh EH16 4SB, UK.
Mark BrightBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA.
Rafael G AlmeidaCentre for Discovery Brain Sciences, University of Edinburgh, Edinburgh BioQuarter, Edinburgh EH16 4SB, UK.
Jing-Xuan LimJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA.
Virginia M S RuettenJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA; Gatsby Computational Neuroscience Unit, UCL, London W1T 4JG, UK.
Yizhi WangBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA.
Mengfan WangBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA.
Weizhan ZhangDepartment of Automation, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China.
Wei ZhengBradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USA.
Michael E ReitmanDepartment of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, CA, USA; Neuroscience Graduate Program, University of California, San Francisco, San Francisco, CA, USA.
Yongkang HuangIDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China; New Cornerstone Science Laboratory, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Xiaoyu WangState Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China.
Lei LiIDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China; New Cornerstone Science Laboratory, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing 100084, China.
HanFei DengState Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai 200032, China.
Song-Hai ShiIDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China; New Cornerstone Science Laboratory, Tsinghua-Peking Center for Life Sciences, Beijing Frontier Research Center for Biological Structure, School of Life Sciences, Tsinghua University, Beijing 100084, China.
Kira E PoskanzerDepartment of Biochemistry & Biophysics, University of California, San Francisco, San Francisco, CA, USA; Neuroscience Graduate Program, University of California, San Francisco, San Francisco, CA, USA; Kavli Institute for Fundamental Neuroscience, San Francisco, CA, USA.
David A LyonsCentre for Discovery Brain Sciences, University of Edinburgh, Edinburgh BioQuarter, Edinburgh EH16 4SB, UK.
Axel NimmerjahnWaitt Advanced Biophotonics Center, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA. Electronic address: animmerj@salk.edu.
Misha B AhrensJanelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA 20147, USA. Electronic address: ahrensm@janelia.hhmi.org.
Guoqiang YuDepartment of Automation, Tsinghua University, Beijing 100084, China; IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing 100084, China; Beijing National Research Center for Information Science and Technology, Beijing 100084, China. Electronic address: yug@tsinghua.edu.cn.

Funding

Spinal Circuits for the Control of Dextrous MovementU19NS112959 · NINDS · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI AZIM, EIMAN · 2019 to 2023
$14.3M
Novel Genetically Encoded Indicators for Interrogating Neuron-Astrocyte Communication Across TimescalesU19NS123719 · NINDS · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI EROGLU, CAGLA, NIMMERJAHN, AXEL · 2021 to 2025
$10.7M
Decoding Astrocyte Signaling in Neural Circuitry with Novel Computational Modeling and Analytical ToolsR01MH110504 · NIMH · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI YUE WANG · 2017 to 2026
$6.1M
A Functional Taxonomy of Cortical AstrocytesR01NS099254 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Evan Harriman Feinberg · 2017 to 2026
$4.1M
Non-Neuronal Sleep/Wake Control in CortexR01MH121446 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DAVIS, GRAEME W, PAZ, JEANNE T · 2020 to 2024
$1.9M
NIMH NIH HHS R01 MH110504NIMH NIH HHS R01 MH121446NINDS NIH HHS R01 NS099254NINDS NIH HHS U19 NS112959NINDS NIH HHS U19 NS123719Wellcome Trust
6 · The paper itself

Abstract

Optical recording of intricate molecular dynamics is becoming an indispensable technique for biological studies, accelerated by the development of new or improved biosensors and microscopy technology. This creates major computational challenges to extract and quantify biologically meaningful spatiotemporal patterns embedded within complex and rich data sources, many of which cannot be captured with existing methods. Here, we introduce activity quantification and analysis (AQuA2), a fast, accurate, and versatile data analysis platform built upon advanced machine-learning techniques. It decomposes complex live-imaging-based datasets into elementary signaling events, allowing accurate and unbiased quantification of molecular activities and identification of consensus functional units. We demonstrate applications across a wide range of biosensors, cell types, organs, animal models, microscopy techniques, and imaging approaches. As exemplar findings, we show how AQuA2 identified drug-dependent interactions between neurons and astroglia, as well as distinct sensorimotor signal propagation patterns in the mouse spinal cord.

Indexed as

Data AnalysisAnimalsAstrocytesBiosensing TechniquesHumansMachine LearningMiceNeuronsSignal TransductionSpatio-Temporal AnalysisSpinal CordAQuA2astrocytescell interaction analysisfunctional unitsglial cellsimage analysismachine learningmolecular spatiotemporal signalsneuronstime-lapse imaging

Identifiers

PMID40203826
PMCPMC12708059

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.