Legumain Targeting Peptide Conjugated Fluorescent Porous Silicon Nanoparticles for Breast Cancer Imaging

2016 ◽  
Vol 102 ◽  
pp. 45-50 ◽  
Author(s):  
Jayasree S. Kanathasan ◽  
Varghese Swamy ◽  
Uma Devi Palanisamy ◽  
Ammu Kutty G.K. Radhakrishnan

Porous silicon (PSi) with a suite of most desirable biomaterial properties has attracted great attention as a multifunctional nanoplatform for bioimaging and drug delivery. Various surface functionalization treatments have been reported for PSi to use as an active tumor cell targeting nanovector. In this study, we investigated surface functionalization treatments using a peptide that is specific to the emerging biomarker legumain. The PSi nanoparticles were coated with dextran and subsequently two types of legumain targeting peptide, Y-shaped and linear chain, were conjugated to produce the functionalized PSi. The functionalized (ligand-conjugated) PSi materials were characterized for morphology, size, functional groups, and fluorescence response using electron and fluorescence microscopy and vibrational spectroscopy techniques. Fluorescence microscopy imaging with two excitation wavelengths (450 nm and 600 nm) suggests comparable fluorescence response of the conjugated PSi to “bare” PSi and the suitability of the PSi functionalized with peptide for bioimaging.

2016 ◽  
Vol 26 (20) ◽  
pp. 3405-3416 ◽  
Author(s):  
Neha Shrestha ◽  
Francisca Araújo ◽  
Mohammad-Ali Shahbazi ◽  
Ermei Mäkilä ◽  
Maria João Gomes ◽  
...  

Materials ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 580 ◽  
Author(s):  
Rae Kang ◽  
Seo Lee ◽  
Sangrim Kang ◽  
Jinyoung Kang ◽  
Junho Hur ◽  
...  

Porous silicon nanoparticles (pSiNPs) have been utilized within a wide spectrum of biological studies, as well as in chemistry, chemical biology, and biomedical fields. Recently, pSiNPs have been constantly coming under the spotlight, mostly in biomedical applications, due to their advantages, such as controlled-release drug delivery in vivo by hydrolysis-induced degradation, self-reporting property through long life-time photoluminescence, high loading efficiency of substrate into pore, and the homing to specific cells/organ/bacteria by surface functionalization. However, the systematic degradation rate analysis of surface-functionalized pSiNPs in different biological media has not been conducted yet. In this paper, we prepared four different surface-functionalized pSiNPs samples and analyzed the degradation rate in six different media (DI H2O (deionized water), PBS (phosphate-buffered saline), HS (human serum), DMEM (Dulbecco’s modified Eagle’s medium), LB (lysogeny broth), and BHI (brain heart infusion)). The obtained results will now contribute to understanding the correlation between surface functionalization in the pSiNPs and the degradation rate in different biological media. The characterized data with the author’s suggestions will provide useful insights in designing the new pSiNPs formulation for biomedical applications.


2021 ◽  
Author(s):  
Byungji Kim ◽  
Qinglin Yang ◽  
Leslie W. Chan ◽  
Sangeeta N. Bhatia ◽  
Erkki Ruoslahti ◽  
...  

RNAi-mediated immunotherapy provided by fusogenic porous silicon nanoparticles demonstrates superior therapeutic efficacy against both Gram-positive and Gram-negative bacterial infections compared with first-line antibiotics.


2002 ◽  
Vol 8 (5) ◽  
pp. 847-852 ◽  
Author(s):  
Ivan Martin ◽  
Maddalena Mastrogiacomo ◽  
Gianluca De Leo ◽  
Anita Muraglia ◽  
Francesco Beltrame ◽  
...  

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Zahra Amini Farsani ◽  
Volker J. Schmid

AbstractCo-localization analysis is a popular method for quantitative analysis in fluorescence microscopy imaging. The localization of marked proteins in the cell nucleus allows a deep insight into biological processes in the nucleus. Several metrics have been developed for measuring the co-localization of two markers, however, they depend on subjective thresholding of background and the assumption of linearity. We propose a robust method to estimate the bivariate distribution function of two color channels. From this, we can quantify their co- or anti-colocalization. The proposed method is a combination of the Maximum Entropy Method (MEM) and a Gaussian Copula, which we call the Maximum Entropy Copula (MEC). This new method can measure the spatial and nonlinear correlation of signals to determine the marker colocalization in fluorescence microscopy images. The proposed method is compared with MEM for bivariate probability distributions. The new colocalization metric is validated on simulated and real data. The results show that MEC can determine co- and anti-colocalization even in high background settings. MEC can, therefore, be used as a robust tool for colocalization analysis.


Sign in / Sign up

Export Citation Format

Share Document