Visualizing DNA/RNA, Proteins, and Small Molecule Metabolites within Live Cells

被引:3
作者
Jia, Dongling [1 ]
Cui, Minhui [1 ]
Ding, Xianting [2 ]
机构
[1] Shanghai Univ Med & Hlth Sci, Sch Pharm, Shanghai 201318, Peoples R China
[2] Shanghai Jiao Tong Univ, Inst Personalized Med, Sch Biomed Engn, Shanghai 200030, Peoples R China
基金
中国国家自然科学基金;
关键词
live-cell imaging; proteins imaging; RNAs imaging; small-molecule metabolites imaging; METAL-IONS; FLUORESCENT-PROBES; LIVING CELLS; DYNAMICS; VIVO; TRANSLATION; MICROSCOPY; CRISPR; SEGMENTATION; PROTEOMICS;
D O I
10.1002/smll.202404482
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Live cell imaging is essential for obtaining spatial and temporal insights into dynamic molecular events within heterogeneous individual cells, in situ intracellular networks, and in vivo organisms. Molecular tracking in live cells is also a critical and general requirement for studying dynamic physiological processes in cell biology, cancer, developmental biology, and neuroscience. Alongside this context, this review provides a comprehensive overview of recent research progress in live-cell imaging of RNAs, DNAs, proteins, and small-molecule metabolites, as well as their applications in molecular diagnosis, immunodiagnosis, and biochemical diagnosis. A series of advanced live-cell imaging techniques have been introduced and summarized, including high-precision live-cell imaging, high-resolution imaging, low-abundance imaging, multidimensional imaging, multipath imaging, rapid imaging, and computationally driven live-cell imaging methods, all of which offer valuable insights for disease prevention, diagnosis, and treatment. This review article also addresses the current challenges, potential solutions, and future development prospects in this field. This work reviews the updated advances in live-cell imaging of RNAs, DNAs, proteins, and metabolites, and their applications to molecular diagnosis, immunological diagnosis, and biochemical research. It summarizes the advanced live-cell imaging techniques, such as high-resolution, low-abundance, multidimensional, multipath, rapid imaging, and computationally driven imaging methods, providing critical insights into the current challenges and future opportunities in the relevant fields. image
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页数:34
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