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Protein Dynamics in Living Cells

Protein Dynamics in Living Cells

Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
Fluorescent recovery after photobleaching (FRAP) is a fluorescent-protein-based detection technique used to quantify protein movement rates within the cell. This method exposes a small portion of the cell to an intense laser beam. The laser beam causes permanent photobleaching of the fluorophore-tagged proteins in the exposed region. As the bleached...

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Author Spotlight: Image-Based Methods to Study Membrane Trafficking Events in Stomatal Lineage Cells

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Advanced imaging techniques for tracking drug dynamics at the subcellular level.

Chengying Zhang¹, Zhiqi Tian¹, Rui Chen²

¹Department of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.

Advanced Drug Delivery Reviews

|June 29, 2023

Summary

Super-resolution microscopy (SRM) advances biomedicine, particularly for imaging living cells. This review highlights SRM

Keywords:

Absorption and transport Distribution Drug design Metabolism and excretion Nanoparticles Super-resolution microscopy

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Area of Science:

Biomedical Imaging
Cellular Biology
Pharmacology

Background:

Optical microscopy is crucial for biomedical advancements.
Super-resolution microscopy (SRM) is a key technique for live-cell imaging.
SRM addresses challenges in biological research with clinical potential.

Purpose of the Study:

To review recent advancements in super-resolution microscopy (SRM).
To highlight SRM applications in assessing drug dynamics at the subcellular level.
To explore SRM's role in understanding drug mechanisms and efficacy.

Main Methods:

Review of recent scientific literature on super-resolution microscopy.
Analysis of SRM techniques for subcellular imaging.
Case studies on SRM applications in drug delivery and kinetics.

Main Results:

SRM enables high-resolution imaging of cellular structures and processes.
SRM provides insights into drug distribution and behavior within cells.
SRM facilitates the study of drug-target interactions and therapeutic efficacy.

Conclusions:

SRM is a powerful tool for advancing biological research and drug development.
SRM offers significant potential for clinical applications, particularly in personalized medicine.
Further development of SRM techniques will enhance understanding of subcellular drug dynamics.