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Nanobiotechnology 2018
Page 46
Nano Research & Applications
ISSN: 2471-9838
E u r o S c i C o n C o n f e r e n c e o n
Nanotech & Nanobiotechnology
J u l y 1 2 - 1 3 , 2 0 1 8
P a r i s , F r a n c e
H
eparin sulphate is closely related to heparan sulphate that plays a role in extracellular matrix modulation. Heparinase is
a bacterial enzyme that breaks down heparin and heparan sulphate into small fragments. Heparanase is the mammalian
enzyme that cleaves heparan and heparin sulphate but at more restricted regions. Detection of heparanase is quite important in
early diagnosis of metastasis and cancer spreading. Herein, heparin sulphate was attached to the surface of silica nanoparticles
(NPs) via intrachain carboxylate conjugation using cabodiimide chemistry. FRET based quenching was utilised to detect the
fluorophore fluorescence changes using two different models. Model I adopted the attachment of fluorescein labelled heparin to
the surface of black hole quencher 1-incorporated NPs. The achieved quenching effciency was ~30% compared to fluorescent
heparin attached to blank NPs as a control. In model II, BHQ 2 conjugated heparin was attached to the surface of core-shell
NPs containing TAMRA in the shell and either blank core or 7-Methoxycoumarin incorporated core. NPs with different shell
thicknesses were prepared ranging from 12 nm to 75 nm. The quenching effciency of the 12 nm shell-NPs was ~ 42% using blank
core. The quenching effciency of 12 nm shell was also tested using Comarin incorporated core as internal standard to achieve
more accurate results. In this system ratiometric method was developed, where the quenching effciency was calculated based
on the florescence ratio of TAMRA in the shell to coumarin in the core. The calculated quenching effciency was ~ 10% which is
lower than that predicted by blank core system. The developed system could be further employed as sensing tool for heparinase
and heparanase to detect metastatic cancer cells.
paxaaj@nottingham.ac.ukDevelopment of heparinase nanosensors for
metastatic cancer cells detection
Abdolelah Jaradat, Jonathan Aylott, Kenton Arkill and Cameron
Alexander
University of Nottingham, UK
Nano Res Appl 2018, Volume 4
DOI: 10.21767/2471-9838-C2-012