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Analysis of alternative splicing events for cancer diagnosis using a multiplexing nanophotonic biosensor

Overview of attention for article published in Scientific Reports, January 2017
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Title
Analysis of alternative splicing events for cancer diagnosis using a multiplexing nanophotonic biosensor
Published in
Scientific Reports, January 2017
DOI 10.1038/srep41368
Pubmed ID
Authors

César S. Huertas, Santos Domínguez-Zotes, Laura M. Lechuga

Abstract

Personalized medicine is a promising tool not only for prevention, screening and development of more efficient treatment strategies, but also for diminishing the side effects caused by current therapies. Deciphering gene regulation pathways provides a reliable prognostic analysis to elucidate the origin of grave diseases and facilitate the selection of the most adequate treatment for each individual. Alternative splicing of mRNA precursors is one of these gene regulation pathways and enables cells to generate different protein outputs from the same gene depending on their developmental or homeostatic status. Its deregulation is strongly linked to disease onset and progression constituting a relevant and innovative class of biomarker. Herein we report a highly selective and sensitive nanophotonic biosensor based on the direct monitoring of the aberrant alternative splicing of Fas gene. Unlike conventional methods, the nanobiosensor performs a real-time detection of the specific isoforms in the fM-pM range without any cDNA synthesis or PCR amplification requirements. The nanobiosensor has been proven isoform-specific with no crosshybridization, greatly minimizing detection biases. The demonstrated high sensitivity and specificity make our nanobiosensor ideal for examining significant tumor-associated expression shifts of alternatively spliced isoforms for the early and accurate theranostics of cancer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 64 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 17%
Researcher 10 15%
Student > Ph. D. Student 10 15%
Unspecified 8 12%
Student > Bachelor 6 9%
Other 12 18%
Unknown 8 12%
Readers by discipline Count As %
Engineering 16 25%
Biochemistry, Genetics and Molecular Biology 9 14%
Unspecified 8 12%
Agricultural and Biological Sciences 6 9%
Chemistry 4 6%
Other 12 18%
Unknown 10 15%