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Single cell analysis at the nanoscale

Authors: Zheng, Xin Ting; Li, Chang Ming;

Single cell analysis at the nanoscale

Abstract

The fundamental life processes such as signal transduction, intracellular trafficking, protein degradation, and DNA repair often occur in nanometric subcellular compartments. It is essential to conduct single cell analysis specifically at the nanoscale to fully understand the critical cellular processes while providing important medical applications. However, there are great challenges in achieving high spatial resolution in single cells for uncovering spatial heterogeneity, high sensitivity for biomolecule detections and high specificity in complicated cellular environment. In this tutorial review, we survey recent progress toward single cell analysis at the nanoscale by emphasizing how the advancement in nanotechnology has brought a plethora of nanotools to interrogate single cells with high spatiotemporal resolutions. In particular, analysis principle, nanoscale probe fabrication, high resolution cellular analysis, data collection and processing are introduced. New cell biochemistry and biology insights revealed by the unique single cell analysis methods are highlighted. The perspectives on future opportunities and unsolved challenges are also discussed.

Country
Singapore
Related Organizations
Keywords

Neoplasms, COS Cells, Chlorocebus aethiops, Animals, Humans, Nanotechnology, HeLa Cells, Nanostructures

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
101
Top 10%
Top 10%
Top 1%
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