There is a newer version of the record available.

Published October 22, 2020 | Version 1.0.0.

Mapping GPIIb/IIIa on murine blood platelets with expansion microscopy

Authors/Creators

  • 1. Rudolf Virchow Center for Integrative and Translational Bioimaging, University of Würzburg, Würzburg, Germany

Description

Mapping GPIIb/IIIa on murine blood platelets with expansion microscopy

We visualize the membrane architecture of platelets by mapping platelet integrin GPIIb/IIIa by super-resolution fluorescence. Our approach combines colocalization and expansion microscopy and successfully interrogates highly abundant receptors and their interactions where conventional methods fail in such dense 3D scenarios.

Here we provide a selection of typical images of receptor distributions on unexpanded and expanded murine platelets and the code for simulation of platelet receptor distributions including a user manual.

Sample images: 

Unexpanded, 4x expanded and 10x expanded resting murine platelets on glycine coated coverslips were imaged on a SP5 confocal microscope (detailed methods can be found in the manuscript).

There are three different labeling combinations:

  • Case I: directly immunolabeled with monoclonal antibodies antibodies carrying Alexa Fluor 488 (MWReg30, green channel) or Alexa Fluor 594 (JON6, magenta channel) can bind simultaneously on the same GPIIb/IIIa receptor -> high colocalization
  • Case II: directly immunolabeled with a monoclonal antibody targeting GPIIb/IIIa (MWReg30) carrying either Alexa Fluor 594 or Alexa Fluor 488) -> low colocalizaiton
  • Case III: directly immunolabeld with monoclonal antibodies carrying Alexa Fluor 488 targeting GPIIb/IIIa (JON6) and carrying Alexa Fluor 594 targeting GPIX (p0p6) -> low colocalization

The provided sample images are .ims (Imaris) files contain the raw data, chromatic aberration corrected data & deconvolved data as consecutive time points, as well as the cropped image stack of a single platelet with the masked data used for colocalization analysis.

MatLab Scipts: 3D-Image simulation of Platelet Receptor Distributions

The provided MatLab scripts allow to create 2-color, 3D image stacks based on simulated platelet receptor distributions and the image resolution provided by confocal microscopy and sample expansion. Refer to the user manual for a detailed description of how to set up and run the simulation.

Files

10xexpanded-CaseI.zip

Files (1.4 GB)

Name Size
md5:5daeb36c06a2a0fe2d96c077185d0034
132.9 MB Preview Download
md5:ebdcd0a9911ef51d4a3525dfcdd8a6a4
376.1 MB Preview Download
md5:bb6c81d5888351f3fbfbbe1c0073e226
334.0 MB Preview Download
md5:ff5b7b99c03169be39910e8cb30ba931
168.8 MB Preview Download
md5:06540ffe98e23499488d6c307df87a08
182.1 MB Preview Download
md5:e1ab70dbe446a31c207cd41d82e865fe
153.5 MB Preview Download
md5:1ad095f0bca31c642ba8f71385ffd3db
13.3 kB Preview Download
md5:a06a1e385a2ec2a58c988ba38521e958
29.7 MB Preview Download
md5:3a62d19edb396f65af486bdf29573141
24.5 MB Preview Download
md5:e40c51ab1836cc1db0545520a082f002
15.0 MB Preview Download
md5:86755c7ec66ae0139836e6110f729a75
391.0 kB Preview Download