Counting proteins in single cells with addressable droplet microarrays

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Title: Counting proteins in single cells with addressable droplet microarrays
Author(s): Chatzimichail, S
Supramaniam, P
Ces, O
Salehi-Reyhani, S
Item Type: Journal Article
Abstract: Often cellular behaviour and cellular responses are analysed at the population level where the responses of many cells are pooled together as an average result masking the rich single cell behaviour within a complex population. Single cell protein detection and quantification technologies have made a remarkable impact in recent years. Here we describe a practical and flexible single cell analysis platform based on addressable droplet microarrays. This study describes how the absolute copy numbers of target proteins may be measured with single cell resolution. The tumour suppressor p53 is the most commonly mutated gene in human cancer, with more than 50% of total cancer cases exhibiting a non-healthy p53 expression pattern. The protocol describes steps to create 10nL droplets within which single human cancer cells are isolated and the copy number of p53 protein is measured with single molecule resolution to precisely determine the variability in expression. The method may be applied to any cell type including primary material to determine the absolute copy number of any target proteins of interest.
Publication Date: 7-Jun-2018
Date of Acceptance: 31-May-2017
URI: http://hdl.handle.net/10044/1/54308
DOI: https://dx.doi.org/10.3791/56110
ISSN: 1940-087X
Publisher: Journal of Visualized Experiments
Journal / Book Title: Jove-Journal of Visualized Experiments
Volume: 137
Publication Status: Published
Article Number: e56110
Embargo Date: 2020-06-07
Appears in Collections:Chemistry
Biological and Biophysical Chemistry
Faculty of Natural Sciences



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