Evidence map›Paper›PMID 40299972›Full record

ArticlePLoS biology2025

A sensitive soma-localized red fluorescent calcium indicator for in vivo imaging of neuronal populations at single-cell resolution.

Shihao Zhou, Qiyu Zhu, Minho Eom, Shilin Fang, Oksana M Subach, Chen Ran, Jonnathan Singh Alvarado, Praneel S Sunkavalli, Yuanping Dong, Yangdong Wang and 10 more

Abstract read
In one paragraph

Article in PLoS biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Shihao ZhouSchool of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Qiyu ZhuIDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
Minho EomSchool of Electrical Engineering, KAIST, Daejeon, Republic of Korea.
Shilin FangInstitute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Oksana M SubachComplex of NBICS Technologies, National Research Center "Kurchatov Institute", Moscow, Russia.
Chen RanDepartment of Neuroscience, Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, California, United States of America.
Jonnathan Singh AlvaradoDivision of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States of America.
Praneel S SunkavalliDivision of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States of America.
Yuanping DongSchool of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Yangdong WangSchool of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Jiewen HuInstitute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Hanbin ZhangSchool of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Zhiyuan WangInstitute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Xiaoting SunSchool of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Tao YangSchool of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.
Yu MuInstitute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.ORCID 0000-0001-9297-4854
Young-Gyu YoonSchool of Electrical Engineering, KAIST, Daejeon, Republic of Korea.
Zengcai V GuoIDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.
Fedor V SubachComplex of NBICS Technologies, National Research Center "Kurchatov Institute", Moscow, Russia.
Kiryl D PiatkevichSchool of Life Sciences, Westlake University, Hangzhou, Zhejiang, China.ORCID 0000-0002-7777-9468

Funding

Nikon A1-R multi-photon microscope for a core microscopy facilityS10OD026817 · OD · SCRIPPS RESEARCH INSTITUTE, THE · PI HENDERSON, SCOTT C. · 2019 to 2019
$837k
Deconstructing brainstem circuits for visceral sensesK01DK132957 · NIDDK · SCRIPPS RESEARCH INSTITUTE, THE · PI Chen Ran · 2023 to 2026
$586k
NIDDK NIH HHS K01 DK132957NIH HHS S10 OD026817
6 · The paper itself

Abstract

Recent advancements in genetically encoded calcium indicators, particularly those based on green fluorescent proteins, have optimized their performance for monitoring neuronal activities in a variety of model organisms. However, progress in developing red-shifted GECIs, despite their advantages over green indicators, has been slower, resulting in fewer options for end users. In this study, we explored topological inversion and soma-targeting strategies, which are complementary to conventional mutagenesis, to re-engineer a red genetically encoded calcium indicator, FRCaMP, for enhanced in vivo performance. The resulting sensors, FRCaMPi and soma-targeted FRCaMPi (SomaFRCaMPi), exhibit up to 2-fold higher dynamic range and peak ΔF/F0 per single AP compared to widely used jRGECO1a in neurons both in culture and in vivo. Compared to jRGECO1a and FRCaMPi, SomaFRCaMPi reduces erroneous correlation of neuronal activity in the brains of mice and zebrafish by two- to 4-fold due to diminished neuropil contamination without compromising the signal-to-noise ratio. Under wide-field imaging in primary somatosensory and visual cortices in mice with high labeling density (80-90%), SomaFRCaMPi exhibits up to 40% higher SNR and decreased artifactual correlation across neurons. Altogether, SomaFRCaMPi improves the accuracy and scale of neuronal activity imaging at single-neuron resolution in densely labeled brain tissues due to a 2-3-fold enhanced automated neuronal segmentation, 50% higher fraction of responsive cells, up to 2-fold higher SNR compared to jRGECO1a. Our findings highlight the potential of SomaFRCaMPi, comparable to the most sensitive soma-targeted GCaMP, for precise spatial recording of neuronal populations using popular imaging modalities in model organisms such as zebrafish and mice.

Indexed as

CalciumLuminescent ProteinsNeuronsSingle-Cell AnalysisAnimalsBrainFluorescent DyesHumansMiceMice, Inbred C57BLRed Fluorescent ProteinSomatosensory CortexVisual CortexZebrafishCalciumFluorescent DyesLuminescent ProteinsRed Fluorescent Protein

Identifiers

PMID40299972
PMCPMC12040222

What OpenQuestion holds

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LicenceCC BY
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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.