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Although numerous molecular methods for spinal muscular atrophy (SMA) detection have been exploited, most of them are laborious, time consuming and costly. Recently, gold nanoparticles (AuNPs) have attracted attention in the field of colourimetric bioanalysis, because AuNP aggregation can be tracked with the naked eye as well as ultraviolet–visible (UV–vis) peak analysis. Here, based on a non-cross...
To construct biologically interpretable features and facilitate Muscular Dystrophy (MD) sub-types classification, we propose a novel integrative scheme utilizing PPI network, functional gene sets information, and mRNA profiling. The workflow of the proposed scheme includes three major steps: First, by combining protein-protein interaction network structure and gene co-expression relationship into...
The paper outlines a methodology and presents a tool to help biomedical researchers in interpreting complex experiments by automatically discovering gene networks and underlying biological processes (revealed by gene-expression patterns) that usually are extracted manually using existing tools. The proposed method, first, starts by mining specialized medical literature available on the Web to discover...
Local gene network pattern (LGNP) is a useful tool to display complex relationship between multiple genes. A diabetes-specific local gene network (LGN) was constructed with 29 genes (including 9 diabetes susceptibility genes and 20 extra genes to join them) that participate in 30 biological pathways. Further analysis indicated diabetes-specific LGN has close relations with carbohydrate metabolism,...
The human mesenchymal stem cells can differentiate into cardiomyocytes, osteoblasts, chondroblasts, adipocytes, endothelial, hepatocyte and neuron cells, when hMSCs are exposed to certain physical and chemical stimulants. It is hoped that the differentiation of hMSCs into certain cell types in certain in-vitro conditions can provide for treatment of the certain disease and pathologic situation. The...
Cell printing is an emerging technology for engineering complex 3D tissue/organ structures. In this study, the proliferation of primary rat bladder smooth muscle cells (SMCs) in printed cell-laden collagen droplets was quantified. The results showed that the bioprinting system is capable of printing viable cells, while keeping their proliferation ability in a 3D collagen matrix.
Cardiovascular molecular imaging is a rapidly evolving field of research, aiming to image and quantify molecular and cellular targets in vivo. Natriuretic peptides (NPs) can acts as a potent inhibitor of vascular smooth muscle cell migration and proliferation through activation of the clearance receptor (NPR-C). In this study, the potential use of a C-type NP fragment (C-ANF) to image the NPR-C receptor...
Arrhythmias and sudden cardiac death have a circadian pattern of occurrence in humans. We hypothesized that a circadian pattern of arrhythmias is also present in transgenic mice with cardiac-specific overexpression of tumor necrosis factor alpha, which develop a dilated cardiomyopathy, arrhythmias and heart failure. To test this hypothesis, telemetry monitors were implanted and 24 hr, ambulatory ECG...
The blood-brain barrier (BBB) is a specialized brain protection system consisting of endothelial cell, tight junctions and glial processes. BBB is the major limiting factor to therapeutic agents to the brain for disease treatment. Focused ultrasound (FUS) in the presence of microbubbles has the capability to deliver large molecules across BBB. In this study, we qualitatively and quantitatively analyzed...
For the critical task of gene module discovery in genomic research, we present a model-based hierarchical data clustering and visualization algorithm, visual statistical data analyzer (VISDA), which effectively exploits human-data interaction to improve the clustering outcome. Guided by a diagnostic tree, we apply VISDA to a muscular dystrophy dataset that contains a number of different phenotypic...
For the critical task of gene module discovery in genomic research, we present a model-based hierarchical data clustering and visualization algorithm, visual statistical data analyzer (VISDA), which effectively exploits human-data interaction to improve the clustering outcome. Guided by a diagnostic tree, we apply VISDA to a muscular dystrophy dataset that contains a number of different phenotypic...
Heart failure has been identified as a serious international problem, in particular for aging groups, posing both an increasing number of patients on waiting lists in countries susceptible with Medicare systems and increasing financial burdens. It may be imperative to develop a marker that can identify such problems at an early stage. It is believed that certain proteins have crucial roles in early...
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