Imperial College London
Portrait Picture

Dr Ed Cohen

Faculty of Natural Sciences, Department of Mathematics

Reader in Statistics
 
 
 
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Contact

 

+44 (0)20 7594 3986e.cohen

 
 
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Location

 

536Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Mersmann:2022:10.1038/s41598-022-20506-y,
author = {Mersmann, S and Emma, J and Will, M and Leo, J and Grove, J and Cohen, E},
doi = {10.1038/s41598-022-20506-y},
journal = {Scientific Reports},
title = {A novel and robust method for counting components within bio-molecular complexes using fluorescence microscopy and statistical modelling},
url = {http://dx.doi.org/10.1038/s41598-022-20506-y},
volume = {12},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Cellular biology occurs through myriad interactions between diverse molecular components, many of which assemble in to specific complexes. Various techniques can provide a qualitative survey of which components are found in a given complex. However, quantitative analysis of the absolute number of molecules within a complex (known as stoichiometry) remains challenging. Here we provide a novel method that combines fluorescence microscopy and statistical modelling to derive accurate molecular counts. We have devised a system in which batches of a given biomolecule are differentially labelled with spectrally distinct fluorescent dyes (label A or B), and mixed such that B-labelled molecules are vastly outnumbered by those with label A. Complexes, containing this component, are then simply scored as either being positive or negative for label B. The frequency of positive complexes is directly related to the stoichiometry of interaction and molecular counts can be inferred by statistical modelling. We demonstrate this method using complexes of Adenovirus particles and monoclonal antibodies, achieving counts that are in excellent agreement with previous estimates. Beyond virology, this approach is readily transferable to other experimental systems and, therefore, provides a powerful tool for quantitative molecular biology.
AU  - Mersmann,S
AU  - Emma,J
AU  - Will,M
AU  - Leo,J
AU  - Grove,J
AU  - Cohen,E
DO  - 10.1038/s41598-022-20506-y
PY  - 2022///
SN  - 2045-2322
TI  - A novel and robust method for counting components within bio-molecular complexes using fluorescence microscopy and statistical modelling
T2  - Scientific Reports
UR  - http://dx.doi.org/10.1038/s41598-022-20506-y
UR  - http://hdl.handle.net/10044/1/100086
VL  - 12
ER  -
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