Imperial College London

Professor Molly Stevens

Faculty of EngineeringDepartment of Materials

Professor of Biomedical Materials and Regenerative Medicine
 
 
 
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Contact

 

+44 (0)20 7594 6804m.stevens

 
 
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Location

 

208Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Jumeaux:2018:10.1002/cbic.201700592,
author = {Jumeaux, C and Wahlsten, O and Block, S and Kim, E and Chandrawati, R and Howes, PD and Hook, P and Stevens, MM},
doi = {10.1002/cbic.201700592},
journal = {ChemBioChem},
pages = {434--438},
title = {MicroRNA detection by DNA-mediated liposome fusion},
url = {http://dx.doi.org/10.1002/cbic.201700592},
volume = {19},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Membrane fusion is a process of fundamental importance in biological systems that involves highly selective recognition mechanisms for the trafficking of molecular and ionic cargos. Mimicking natural membrane fusion mechanisms for the purpose of biosensor development holds great potential for amplified detection because relatively few highly discriminating targets lead to fusion and an accompanied engagement of a large payload of signal-generating molecules. In this work, sequence-specific DNA-mediated liposome fusion is used for the highly selective detection of microRNA. The detection of miR-29a, a known flu biomarker, is demonstrated down to 18nm within 30min with high specificity by using a standard laboratory microplate reader. Furthermore, one order of magnitude improvement in the limit of detection is demonstrated by using a novel imaging technique combined with an intensity fluctuation analysis, which is coined two-color fluorescence correlation microscopy.
AU - Jumeaux,C
AU - Wahlsten,O
AU - Block,S
AU - Kim,E
AU - Chandrawati,R
AU - Howes,PD
AU - Hook,P
AU - Stevens,MM
DO - 10.1002/cbic.201700592
EP - 438
PY - 2018///
SN - 1439-4227
SP - 434
TI - MicroRNA detection by DNA-mediated liposome fusion
T2 - ChemBioChem
UR - http://dx.doi.org/10.1002/cbic.201700592
UR - http://hdl.handle.net/10044/1/54417
VL - 19
ER -