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Peering at Brain Polysomes with Atomic Force Microscopy

Authors :
Marta Marchioretto
Lorenzo Lunelli
Paola Bernabò
Gabriella Viero
V. Vaghi
Alice Bolner
Source :
Journal of visualized experiments 2016 (2016). doi:10.3791/53851, info:cnr-pdr/source/autori:Lunelli L, Bernabò P, Bolner A, Vaghi V, Marchioretto M, Viero G/titolo:Peering at brain polysomes with atomic force microscopy/doi:10.3791%2F53851/rivista:Journal of visualized experiments/anno:2016/pagina_da:/pagina_a:/intervallo_pagine:/volume:2016
Publication Year :
2016
Publisher :
MyJove Corporation, 2016.

Abstract

The translational machinery, i.e., the polysome or polyribosome, is one of the biggest and most complex cytoplasmic machineries in cells. Polysomes, formed by ribosomes, mRNAs, several proteins and non-coding RNAs, represent integrated platforms where translational controls take place. However, while the ribosome has been widely studied, the organization of polysomes is still lacking comprehensive understanding. Thus much effort is required in order to elucidate polysome organization and any novel mechanism of translational control that may be embedded. Atomic force microscopy (AFM) is a type of scanning probe microscopy that allows the acquisition of 3D images at nanoscale resolution. Compared to electron microscopy (EM) techniques, one of the main advantages of AFM is that it can acquire thousands of images both in air and in solution, enabling the sample to be maintained under near physiological conditions without any need for staining and fixing procedures. Here, a detailed protocol for the accurate purification of polysomes from mouse brain and their deposition on mica substrates is described. This protocol enables polysome imaging in air and liquid with AFM and their reconstruction as three-dimensional objects. Complementary to cryo-electron microscopy (cryo-EM), the proposed method can be conveniently used for systematically analyzing polysomes and studying their organization.

Details

ISSN :
1940087X
Database :
OpenAIRE
Journal :
Journal of Visualized Experiments
Accession number :
edsair.doi.dedup.....595061ce510fafda3d3bcbc8482693eb