Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Biological or biochemical
Reexamination Certificate
2009-07-29
2010-10-26
Skowronek, Karlheinz R (Department: 1631)
Data processing: measuring, calibrating, or testing
Measurement system in a specific environment
Biological or biochemical
C435S001200, C435S006120
Reexamination Certificate
active
07822556
ABSTRACT:
Methods and applications of Global Patter Recognition (GPR), including a system for analyzing the results of real-time polymerase chain reaction (RT-PCR) experiments employing micro-titer and/or microarray plates and robotic plate readers is described. The system employs a set of self-normalizing housekeeping primers or oligonucleotides on the plates/arrays and an algorithmic approach to normalizing expression data from all primers on the plate based on the reaction products of several of the self-normalizing gene primers oligonucleotides. Normalization is accomplished using simplex reactions involving these self-normalizing primers/oligonucleotides; the normalization parameters are then useable across all control and experimental reactions of the plate/array. A ranked list of genes whose amount of change is statistically significant can be determined. The accuracy of this list is enhanced by the data normalization aspect of the system. Other applications of GPR are also disclosed herein.
REFERENCES:
patent: 6180349 (2001-01-01), Ginzinger et al.
patent: 6263287 (2001-07-01), Zheng et al.
patent: 2002/0103604 (2002-08-01), Liu et al.
patent: 2003/0190689 (2003-10-01), Crosby et al.
patent: 2006/0129331 (2006-06-01), Akilesh et al.
patent: 1 037 158 (2000-09-01), None
patent: 1 138 783 (2001-10-01), None
patent: WO-99/54510 (1999-10-01), None
patent: WO-02/08461 (2002-01-01), None
patent: WO-02/08461 (2002-01-01), None
Bilban et al. (Current issues in Mol. Biol., vol. 4, p. 57-64).
Tseng, et al.,Issues in cDNA microarray analysis: quality filtering, channel normalization, models of variations and assessment of gene defects, Nucleic Acid Research, vol. 12 (29), 2549-2557 (2001).
Hamalainen, et al., “Identification and Validation of Endogenous Reference Genes for Expression Profiling of T Helper Cell Differentiation by Quantitative Real-Time RT-PCR”, Analytical Biochemistry 299, 63-70 (2001).
Zhang, et al., “Selection of normalizer genes in conducting relative gene expression analysis of embryos”, Birth Defects Research (part A), 67:533-544 (2003).
Claverie, “Computational methods for the identification of differential and coordinated gene expression”, Human Molecular Genetics, vol. 8, 1821-1832 (1999).
Zien, et al., “Centralization: a new method for the normalization of gene expression data”, Bioinformatics, vol. 17 Suppl. 1, S323-331 (2001).
Jo Vandesompele, et al., “Accurate normalization of real-time quantitative RT-PCR data by genometric averaging of multiple control genes”, Genome Biology, 3(7) 1-12 (2002).
Akilesh, et al., “Global pattern recognition, a software algorithm for gene expression analysis”, http://www.jax.org/staff/roopenian/labsite/gene—expression.html, updated Jul. 8, 2003.
Akilesh, et al., “Customzied molecular phenotyping by quantitative gene expression and pattern recognition analysis”, Genome Research, 13(7):1719-1727 (2003).
International Search Report from PCT/US2007/002167, Mar. 11, 2008.
Ginzinger, “Gene quantification using real-time quantitative PCR: An emerging technology hits the mainstream”, Experimental Hematology, 30:503-512 (2002).
Suzuki, et al., “Comparative study between DNA copy nubmer abberations determined by quantitative microsatellite analysis and clinical outcome in patients with Stomach cancer”, Clinical Cancer Research, 10:3013-3019 (2004).
Akilesh Shreeram
Roopenian Derry
Shaffer Daniel J.
McDermott Will & Emery LLP
Skowronek Karlheinz R
The Jackson Laboratory
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