Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing 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.
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
11 authors.
Shuzhang LiuCollege of Chemistry and Molecular Engineering, Synthetic, and Functional Biomolecules Center, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of the Ministry of Education, PKU-IDG/McGovern Institute for Brain Research, Beijing Advanced Center of RNA Biology (BEACON), Peking University, Beijing 100871, China.ORCID 0009-0006-7635-1546
Jing LingPeking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.ORCID 0000-0003-4620-9507
Beichen XiePeking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.ORCID 0009-0003-8246-3059
Yuan ZhangCollege of Future Technology, Institute of Molecular Medicine, National Biomedical Imaging Center, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Peking University, Beijing 100871, China.ORCID 0009-0003-8643-8985
Luxin PengCollege of Chemistry and Molecular Engineering, Synthetic, and Functional Biomolecules Center, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of the Ministry of Education, PKU-IDG/McGovern Institute for Brain Research, Beijing Advanced Center of RNA Biology (BEACON), Peking University, Beijing 100871, China.ORCID 0000-0003-3843-4923
Luming YangPeking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.
Yi YuPeking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.ORCID 0000-0001-9396-0817
Junye LinCollege of Chemistry and Molecular Engineering, Synthetic, and Functional Biomolecules Center, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of the Ministry of Education, PKU-IDG/McGovern Institute for Brain Research, Beijing Advanced Center of RNA Biology (BEACON), Peking University, Beijing 100871, China.
Chao TangPeking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.ORCID 0000-0003-1474-3705
Zhixing ChenPeking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.ORCID 0000-0001-5962-7359
Peng ZouCollege of Chemistry and Molecular Engineering, Synthetic, and Functional Biomolecules Center, Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of the Ministry of Education, PKU-IDG/McGovern Institute for Brain Research, Beijing Advanced Center of RNA Biology (BEACON), Peking University, Beijing 100871, China.ORCID 0000-0002-9798-5242
Funding
No grant is acknowledged in the PubMed record.
6 · The paper itself
Abstract
Membrane potential dynamics are crucial to the physiology of electrically excitable cells, such as neurons, cardiomyocytes, and pancreatic islet cells. Fluorescence voltage indicators have enabled the visualization of electrical activities at the single-cell level across large cell populations. However, most existing indicators have a negative fluorescence-voltage response, resulting in a high background signal when cells are at their resting state. To reduce background interference during voltage imaging, we developed a positive-going hybrid voltage indicator (HVI
Indexed as
Myocytes, CardiacNeuronsAction PotentialsAnimalsHumansIslets of LangerhansMembrane PotentialsMice
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.
Positive-going hybrid indicators for voltage imaging in excitable cells and tissues. · full record | OpenQuestion