Tumor resistance to chemotherapeutic drugs is a common problem that limits the efficacy of these drugs in the clinical setting. The mechanisms for how tumors develop resistance to chemotherapeutic ...
The tagged microarray marker (TAM) method allows high-throughput differentiation between predicted alternative PCR products. Typically, the method is used as a molecular marker approach to determining ...
RNA interference technology, which is used in cell biology, has revolutionized functional research of the gene products in the last ten years. Now researchers have developed a method which allows a ...
Genotoxins cause DNA damage, which can result in genomic instability. The genetic changes induced have far-reaching consequences, often leading to diseases such as cancer. A wide range of genotoxins ...
The standard approach for preprocessing spotted microarray data is to subtract the local background intensity from the spot foreground intensity, to perform a log2 transformation and to normalize the ...
Here, we describe the optimization of a miniaturized cell spot microarray (CSMA) method, which facilitates utilization of the transfection microarray technique for disparate RNAi analyses. To promote ...
Abstract: Microarray image gridding is one important step of microarray image analysis to determine 2D image coordinates of all array spots in the hybridized gene chip image. Accuracy of microarray ...
We have developed a novel microarray system based on three technologies: 1) molecular beacons designed to interact with DNA targets at room temperature (25–27°C), 2) tridimensional silk-based ...
Division of Biology, OSEL/CDRH/FDA. Tuberculosis is the second leading cause of adult mortality among infectious diseases and is responsible for about 2 million deaths per year worldwide. The World ...
We developed a microarray-based system for screening small molecules in mammalian cells. This system is compatible with image-based screens and requires fewer than 100 cells per compound. Each ...
Abstract: Microarray techniques have revolutionized genomic research by making it possible to monitor the expression of thousands of genes in parallel. Data clustering analysis has been extensively ...
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