4.6 Article

Visualization of Autophagy Progression by a Red-Green-Blue Autophagy Sensor

期刊

ACS SENSORS
卷 5, 期 12, 页码 3850-3861

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acssensors.0c00809

关键词

autophagic flux; autophagy progression; fluorescent sensor; pH ratiometric sensor; RGB-LC3

资金

  1. National Research Council of Science & Technology (NST) grant by the Korea government [CRC-15-04-KIST]
  2. Brain Research Program through the National Research Foundation of Korea (NRF) [2017M3C7A1043842]
  3. Original Technology Research Program - NRF [2016M3C7A1904344]
  4. KIST institutional grants [2V05820]
  5. KIST grant [2Z05790-19-034]
  6. Institute for Information and Communications Technology Planning and Evaluation (IITP) - Korea govenment [2017-0-01779, 2019-0-00075]
  7. Institute for Information & Communication Technology Planning & Evaluation (IITP), Republic of Korea [2017-0-01779-004] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  8. National Research Foundation of Korea [2017M3C7A1043842] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

Autophagy is a major degradation process of cytosolic components and misfolded proteins that is crucial for cellular homeostasis and for the pathogenesis of diverse diseases. Autophagy is initiated by the formation of phagophores, which mature to autophagosomes. The autophagosomes then fuse to lysosomes to form autolysosomes. Different stages of autophagy can be deregulated to cause autophagy-related diseases, and thus, an accurate detection of each stage of autophagy progression is critical for efficient therapeutic strategies for these diseases. To identify the different stages of autophagy progression, here, we developed a new autophagy flux sensor, named red-green-blue-LC3 (RGB-LC3). RGB-LC3 is composed of LC3 and red-green-blue (RGB) fluorescent proteins, which were carefully chosen by considering their separate spectral profiles, stability, brightness, and most importantly different pH sensitivities. Utilizing this RGB-LC3 and the predicted pH, we could clearly identify phagophores, autophagosomes, fusion stage, early autolysosomes, and mature autolysosomes in live cells. Furthermore, the RGB-LC3 sensor was successfully applied to distinguish different effects of A beta monomers and oligomers on autophagy flux. Therefore, we developed a new autophagy flux sensor, RGB-LC3, which may be a valuable tool to further investigate the molecular mechanisms of autophagy and to develop efficient therapeutic strategies for autophagy-related diseases.

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