4.8 Article

Multiplexed live-cell profiling with Raman probes

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NATURE COMMUNICATIONS
卷 12, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41467-021-23700-0

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  1. National Institute of Health [GM128214]

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The research team developed a multi-parameter measurement system that can simultaneously quantify cell surface proteins, endocytosis activities, and metabolic dynamics of single live cells. This technique allows for analysis of 14 parameters under drug perturbations, enabling powerful clustering, correlation, and network analysis.
Single-cell multiparameter measurement has been increasingly recognized as a key technology toward systematic understandings of complex molecular and cellular functions in biological systems. Despite extensive efforts in analytical techniques, it is still generally challenging for existing methods to decipher a large number of phenotypes in a single living cell. Herein we devise a multiplexed Raman probe panel with sharp and mutually resolvable Raman peaks to simultaneously quantify cell surface proteins, endocytosis activities, and metabolic dynamics of an individual live cell. When coupling it to whole-cell spontaneous Raman micro-spectroscopy, we demonstrate the utility of this technique in 14-plexed live-cell profiling and phenotyping under various drug perturbations. In particular, single-cell multiparameter measurement enables powerful clustering, correlation, and network analysis with biological insights. This profiling platform is compatible with live-cell cytometry, of low instrument complexity and capable of highly multiplexed measurement in a robust and straightforward manner, thereby contributing a valuable tool for both basic single-cell biology and translation applications such as high-content cell sorting and drug discovery. Currently relatively few functional probes for Raman-based live-cell profiling exist. Here the authors build on their previous ultra-bright Raman dots to devise a 14-plexed Raman probe panel to quantify cell surface proteins, endocytosis activities and metabolic dynamics of single live cells.

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