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题名

Surface-enhanced Raman scattering spatial fingerprinting decodes the digestion behavior of lysosomes in live single cells

作者
通讯作者Chen, Zhou; Ye, Jian
发表日期
2024-06-01
DOI
发表期刊
ISSN
2688-3988
EISSN
2688-268X
卷号5期号:3
摘要
["Lysosome, the digestive organelle in eukaryotic cells, plays an important role in the degradation and recirculation of cellular products as well as in maintaining the stability of cellular metabolic microenvironment. Surface-enhanced Raman scattering (SERS) is a molecular fingerprint technology with high detection sensitivity and photostability, suited for revealing various intracellular molecular information by inducing endocytosis of SERS-active nanoparticles. However, it remains challenging to selectively extract the molecular information of specific organelles (e.g., lysosomes) from a high-dimensional spectral set. Herein, we proposed a novel paradigm by combining label-free SERS spectroscopy with confocal fluorescence imaging to investigate the digestion behavior of lysosomes in cells. The structural similarity algorithm was innovatively introduced and exhibited its effectiveness in screening out the wavenumbers in the SERS spectral set with high correlation with the metabolic behaviors of lysosomes. With comprehensive experiments on HeLa single cells, we captured the intracellular macromolecular digestion phenomenon and discovered the changing pattern of cellular SERS spectra after starvation-induced autophagy, and analyzed the molecular information within the lysosomes in three-dimensional space.","The authors have developed an approach by combining label-free surface-enhanced Raman spectroscopy with confocal fluorescence imaging to decode the digestion behavior of lysosomes in live single cells with the assistance of the structural similarity algorithm. image"]
关键词
相关链接[来源记录]
收录类别
ESCI ; EI
语种
英语
学校署名
其他
资助项目
Science and Technology Commission of Shanghai Municipality[21511102100] ; Shanghai Jiao Tong University[YG2024LC09] ; null[82272054]
WOS研究方向
Science & Technology - Other Topics ; Materials Science
WOS类目
Nanoscience & Nanotechnology ; Materials Science, Biomaterials
WOS记录号
WOS:001205008500001
出版者
来源库
Web of Science
引用统计
被引频次[WOS]:1
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/788621
专题工学院_电子与电气工程系
作者单位
1.Shanghai Jiao Tong Univ, Sch Biomed Engn, Shanghai 200030, Peoples R China
2.Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen, Peoples R China
3.Shanghai Jiao Tong Univ, Ren Ji Hosp, Sch Med, State Key Lab Syst Med Canc, Shanghai, Peoples R China
4.Shanghai Jiao Tong Univ, Inst Med Robot, Shanghai, Peoples R China
5.Shanghai Jiao Tong Univ, Ren Ji Hosp, Sch Med, Shanghai Key Lab Gynecol Oncol, Shanghai, Peoples R China
6.Shanghai Jiao Tong Univ, Natl Engn Res Ctr Adv Magnet Resonance Technol Dia, Sch Biomed Engn, Shanghai, Peoples R China
推荐引用方式
GB/T 7714
Liu, Fugang,Sun, Zhirui,Li, Bingyi,et al. Surface-enhanced Raman scattering spatial fingerprinting decodes the digestion behavior of lysosomes in live single cells[J]. VIEW,2024,5(3).
APA
Liu, Fugang,Sun, Zhirui,Li, Bingyi,Liu, Jiaqing,Chen, Zhou,&Ye, Jian.(2024).Surface-enhanced Raman scattering spatial fingerprinting decodes the digestion behavior of lysosomes in live single cells.VIEW,5(3).
MLA
Liu, Fugang,et al."Surface-enhanced Raman scattering spatial fingerprinting decodes the digestion behavior of lysosomes in live single cells".VIEW 5.3(2024).
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