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  2. A novel genetically encoded indicator for deciphering cytosolic and mitochondrial nitric oxide in live cells

A novel genetically encoded indicator for deciphering cytosolic and mitochondrial nitric oxide in live cells

  • Biochem Biophys Res Commun. 2025 Feb 16:749:151345. doi: 10.1016/j.bbrc.2025.151345.
Haoqi Li 1 Zijie Cheng 1 Huimin Li 2 Yun Yin 2 Yuqing Li 1 Tao Chen 3 Xin Dong 1 Qingxun Hu 4 Dan Wu 5
Affiliations

Affiliations

  • 1 Shanghai Engineering Research Center of Organ Repair, Department of Pharmacy, School of Medicine, Shanghai University, Shanghai, 200444, China.
  • 2 Department of Pharmacy, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
  • 3 Qinghai Key Laboratory of Qinghai-Tibet Plateau Biological Resources, Chinese Academy of Science, Northwest Institute of Plateau Biology, Xining, 810008, China.
  • 4 Shanghai Engineering Research Center of Organ Repair, Department of Pharmacy, School of Medicine, Shanghai University, Shanghai, 200444, China. Electronic address: qingxh@shu.edu.cn.
  • 5 Department of Pharmacy, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China. Electronic address: wu_dan@tongji.edu.cn.
Abstract

Nitric oxide (NO) has been highlighted as a key gaseous signaling molecule in the body, playing a central role in various physiological and pathological processes. However, a comprehensive analysis of NO metabolism dynamics in living cells remains a significant challenge. To address this, we have developed and characterized a novel genetically encoded NO fluorescence sensor, GefiNO, to investigate NO metabolism dynamics in living cells and subcellular organelles. In the study, we described the protein detection capabilities and subcellular spatiotemporal localization of GefiNO sensors. By analyzing NO metabolic responses in macrophages of different subtypes, we provide a comprehensive view of NO dynamics at the cellular level. The GefiNO sensor represents a valuable tool for monitoring extensive NO dynamics in living cells and offers potential for uncovering new insights into cellular metabolic mechanisms.

Keywords

Biosensor; Live-cell imaging; Nitric oxide.

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