Protein Nano-clusters

Protein nanoclusters are nanoscale assemblies of proteins that organize individual molecules into localized, functional structures, offering bioengineers a way to control molecular interactions and material properties. They form when proteins associate through noncovalent forces such as electrostatic attraction, hydrophobic interactions, hydrogen bonding, or engineered affinity tags, with solution conditions including concentration, pH, and ionic strength influencing cluster size and stability. By concentrating catalytic, binding, or signaling components, protein nanoclusters can support biosensors, targeted delivery systems, biomimetic materials, and synthetic-cell design, while providing a platform for studying how nanoscale organization shapes biological function.

Protein Nano-clusters - Related Videos

Research

JoVE Journal - Biology

Fluorescence Imaging with One-nanometer Accuracy (FIONA)

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Cited by 11 •

2014

Single fluorophores can be localized with nanometer precision using FIONA. Here a summary of the FIONA technique is reported, and how to carry out FIONA experiments is described.

Spatial Separation of Molecular Conformers and Clusters

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Cited by 3 •

2014

We present a technique that allows the spatial separation of different conformers or clusters present in a molecular beam. An electrostatic deflector is used to separate species by their mass-to-dipole moment ratio, leading to the production of gas-phase ensembles of a single conformer or cluster stoichiometry.

Ligand Nano-cluster Arrays in a Supported Lipid Bilayer

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Cited by 3 •

2017

We present a protocol to functionalize glass with nanometric protein patches surrounded by a fluid lipid bilayer. These substrates are compatible with advanced optical microscopy and are expected to serve as platform for cell adhesion and migration studies.

Research

JoVE Journal - Engineering
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Sub-nanometer Resolution Imaging with Amplitude-modulation Atomic Force Microscopy in Liquid

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Cited by 39 •

2016

We present a method for achieving sub-nanometer resolution images with amplitude-modulation (tapping mode) atomic force microscopy in liquid. The method is demonstrated on commercial atomic force microscopes. We explain the rationale behind our choices of parameters and suggest strategies for resolution optimization.

JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics

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Cited by 13 •

2021

We present a systems biology tool JUMPn to perform and visualize network analysis for quantitative proteomics data, with a detailed protocol including data pre-processing, co-expression clustering, pathway enrichment, and protein-protein interaction network analysis.

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