Browsing by Author "Rashidi, Mohammad-Reza"

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Advances in Nanomaterial Based Optical Biosensing and Bioimaging of Apoptosis Via Caspase-3 Activity: a Review
(Springer Wien, 2018) Khalilzadeh, Balal; Shadjou, Nasrin; Kanberoglu, Gulsah Saydan; Afsharan, Hadi; de la Guardia, Miguel; Charoudeh, Hojjatollah Nozad; Rashidi, Mohammad-Reza
Caspase-3 plays a vital role in intrinsic and extrinsic pathways of programed cell death and in cell proliferation. Its detection is an important tool for early detection of some cancers and apoptosis-related diseases, and for monitoring the efficacy of pharmaceuticals and of chemo- and radiotherapy of cancers. This review (with 72 references) summarizes nanomaterial based methods for signal amplification in optical methods for the determination of caspase-3 activity. Following an introduction into the field, a first large section covers optical assays, with subsections on luminescent and chemiluminescence, fluorometric (including FRET based), and colorimetric assays. Further section summarize methods for bioimaging of caspase-3. A concluding section covers current challenges and future perspectives.
Development of a Reliable Microrna Based Electrochemical Genosensor for Monitoring of Mir-146a, as Key Regulatory Agent of Neurodegenerative Disease
(Elsevier Science Bv, 2019) Khalilzadeh, Balal; Rashidi, Mohammad; Soleimanian, Alireza; Tajalli, Habib; Kanberoglu, Gulsah Saydan; Baradaran, Behzad; Rashidi, Mohammad-Reza
A MicroRNA (miR) based electrochemical method for quantification of miR-146a, a known biomarker for neurodegenerative disease, was developed. In this bioassay, the capture microRNA (C-miR) was self-assembled on the gold surface and used for quantification of target microRNA (T-miR) of miR-146a. For this purpose, an optimized concentration of C-miR was immobilized on the surface of gold electrode and used for capture of target analyte (T-miR). All of preparation steps were characterized by electrochemical techniques (cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS)) and atomic force microscopy (AFM). At the optimized conditions, the linear dynamic range, limit of quantification and relative standard deviation of the proposed bioassay were obtained as 10 pM to 1 mu M, 10 pM and 1.59%, respectively. The unprocessed human serum sample was used as a real sample and the results fully confirm that the designed microRNA based biosensor is capable for detection of miR-146a as neurodegenerative disease biomarker. The developed method offers a more precise and high sensitive tool to be used in clinical applications for early detection of neurodegenerative disease like Alzheimer's and Parkinson. (C) 2019 Elsevier B.V. All rights reserved.