Evidence map›Paper›PMID 39073033›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Optogenetic Strategies for Optimizing the Performance of Phospholipids Biosensors.

Yuanfa Yao, Xiayan Lou, Luhong Jin, Weiyun Sun, Jingfang Liu, Yunyue Chen, Sunying Cheng, Tengjiao Zhao, Shuwei Ke, Luhao Zhang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. 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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Optogenetic Strategies for Optimizing the Performance of Phospholipids Biosensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
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

13 authors.

Yuanfa YaoInstitute of Pharmacology, College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, China.ORCID 0000-0003-0110-8817
Xiayan LouInstitute of Pharmacology, College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, China.
Luhong JinSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Weiyun SunInstitute of Pharmacology, College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, China.
Jingfang LiuDepartment of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education, State Key Laboratory of Extreme Photonics and Instrumentation, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, 310027, China.
Yunyue ChenDepartment of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education, State Key Laboratory of Extreme Photonics and Instrumentation, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, 310027, China.
Sunying ChengInstitute of Pharmacology, College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, China.
Tengjiao ZhaoInstitute of Pharmacology, College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, China.
Shuwei KeInstitute of Pharmacology, College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, China.
Luhao ZhangSchool of Information Science and Technology, Hangzhou Normal University, Hangzhou, Zhejiang, 311121, China.
Yingke XuDepartment of Biomedical Engineering, Key Laboratory of Biomedical Engineering of Ministry of Education, State Key Laboratory of Extreme Photonics and Instrumentation, Zhejiang Provincial Key Laboratory of Cardio-Cerebral Vascular Detection Technology and Medicinal Effectiveness Appraisal, Zhejiang University, Hangzhou, 310027, China.
Lian HeDepartment of Pharmacology, Joint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, School of Medicine, Southern University of Science and Technology, Shenzhen, 518055, China.
Hanbing LiInstitute of Pharmacology, College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, 310014, China.

Funding

Cross Scientific Research Fund of Zhejiang University of Technology 2022JCY27Key Technologies Research and Development Program 2021YFC2101001Natural Science Foundation of Zhejiang Province LZ24H310002
6 · The paper itself

Abstract

High-performance biosensors play a crucial role in elucidating the intricate spatiotemporal regulatory roles and dynamics of membrane phospholipids. However, enhancing the sensitivity and imaging performance remains a significant challenge. Here, optogenetic-based strategies are presented to optimize phospholipid biosensors. These strategies involves presequestering unbound biosensors in the cell nucleus and regulating their cytosolic levels with blue light to minimize background signal interference in phospholipid detection, particularly under conditions of high expression levels of biosensor. Furthermore, optically controlled phase separation and the SunTag system are employed to generate punctate probes for substrate detection, thereby amplifying biosensor signals and enhancing visualization of the detection process. These improved phospholipid biosensors hold great potential for enhancing the understanding of the spatiotemporal dynamics and regulatory roles of membrane lipids in live cells and the methodological insights in this study might be valuable for developing other high-performance biosensors.

Indexed as

Biosensing TechniquesOptogeneticsPhospholipidsHumansPhospholipidsoptogenticsphase separationphosphatidic acidphospholipase Dphospholipid biosensors

Identifiers

PMID39073033
PMCPMC11422808

What OpenQuestion holds

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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.