Title : 
Bead-Immobilized Molecular Beacons for High Throughput SNP Genotyping Via a Microfluidic System
         
        
            Author : 
Sochol, R.D. ; Mahajerin, A. ; Casavant, B.P. ; Singh, P. ; Dueck, M. ; Lee, L.P. ; Lin, L.
         
        
            Author_Institution : 
Berkeley Sensor & Actuator Center, Univ. of California at Berkeley, Berkeley, CA
         
        
        
        
        
        
            Abstract : 
This paper reports the first demonstration of single nucleotide polymorphism (SNP) genotyping via molecular beacon probes immobilized on polystyrene microbead substrates within a dynamic microfluidic system. Additionally, we present an optimized bead immobilization technique, micropost array trapping (muPAT), for high-density and high-throughput arraying of beads. Quantitative detection was achieved at room temperature for three label-free DNA oligonucleotide sequences based on the genome of the Hepatitis C Virus (HCV) in humans. SNP detection technology is integral for the realization of personalized medicine and genetic disease identification, and this system offers a promising technique for fast, sensitive, and cost-effective SNP genotyping.
         
        
            Keywords : 
DNA; biological techniques; diseases; genetics; genomics; microfluidics; microorganisms; molecular biophysics; optimisation; patient treatment; DNA oligonucleotide sequences; Hepatitis C Virus; SNP genotyping; bead immobilization; bead immobilized molecular beacons; dynamic microfluidic system; genetic disease identification; micropost array trapping; molecular beacon probes; personalized medicine; polystyrene microbead substrates; single nucleotide polymorphism; Bioinformatics; DNA; Genomics; Humans; Liver diseases; Microfluidics; Probes; Sequences; Temperature sensors; Throughput;
         
        
        
        
            Conference_Titel : 
Micro Electro Mechanical Systems, 2009. MEMS 2009. IEEE 22nd International Conference on
         
        
            Conference_Location : 
Sorrento
         
        
        
            Print_ISBN : 
978-1-4244-2977-6
         
        
            Electronic_ISBN : 
1084-6999
         
        
        
            DOI : 
10.1109/MEMSYS.2009.4805379