Back to Search Start Over

A robust method for particulate detection of a genetic tag for 3D electron microscopy

Authors :
James Rae
Charles Ferguson
Nicholas Ariotti
Richard I Webb
Han-Hao Cheng
James L Mead
James D Riches
Dominic JB Hunter
Nick Martel
Joanne Baltos
Arthur Christopoulos
Nicole S Bryce
Maria Lastra Cagigas
Sachini Fonseka
Marcel E Sayre
Edna C Hardeman
Peter W Gunning
Yann Gambin
Thomas E Hall
Robert G Parton
Source :
eLife, Vol 10 (2021)
Publication Year :
2021
Publisher :
eLife Sciences Publications Ltd, 2021.

Abstract

Genetic tags allow rapid localization of tagged proteins in cells and tissues. APEX, an ascorbate peroxidase, has proven to be one of the most versatile and robust genetic tags for ultrastructural localization by electron microscopy (EM). Here, we describe a simple method, APEX-Gold, which converts the diffuse oxidized diaminobenzidine reaction product of APEX into a silver/gold particle akin to that used for immunogold labelling. The method increases the signal-to-noise ratio for EM detection, providing unambiguous detection of the tagged protein, and creates a readily quantifiable particulate signal. We demonstrate the wide applicability of this method for detection of membrane proteins, cytoplasmic proteins, and cytoskeletal proteins. The method can be combined with different EM techniques including fast freezing and freeze substitution, focussed ion beam scanning EM, and electron tomography. Quantitation of expressed APEX-fusion proteins is achievable using membrane vesicles generated by a cell-free expression system. These membrane vesicles possess a defined quantum of signal, which can act as an internal standard for determination of the absolute density of expressed APEX-fusion proteins. Detection of fusion proteins expressed at low levels in cells from CRISPR-edited mice demonstrates the high sensitivity of the APEX-Gold method.

Details

Language :
English
ISSN :
2050084X
Volume :
10
Database :
Directory of Open Access Journals
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
edsdoj.648e408e3f416f9efd1c844760a3c8
Document Type :
article
Full Text :
https://doi.org/10.7554/eLife.64630