Imperial College London
Alternate

Professor Oscar Ces

Faculty of Natural Sciences, Department of Chemistry

Head of Department, August von Hofmann Chair of Chemistry
 
 
 
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Contact

 

+44 (0)20 7594 3754o.ces Website

 
 
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Location

 

G04AMolecular Sciences Research HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Chatzimichail:2018:10.3791/56110,
author = {Chatzimichail, S and Supramaniam, P and Ces, O and Salehi-Reyhani, S},
doi = {10.3791/56110},
journal = {Jove-Journal of Visualized Experiments},
title = {Counting proteins in single cells with addressable droplet microarrays},
url = {http://dx.doi.org/10.3791/56110},
volume = {137},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Chatzimichail,S
AU  - Supramaniam,P
AU  - Ces,O
AU  - Salehi-Reyhani,S
DO  - 10.3791/56110
PY  - 2018///
SN  - 1940-087X
TI  - Counting proteins in single cells with addressable droplet microarrays
T2  - Jove-Journal of Visualized Experiments
UR  - http://dx.doi.org/10.3791/56110
UR  - http://hdl.handle.net/10044/1/54308
VL  - 137
ER  -
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