Methods of classifying drug responsiveness using...

Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Biological or biochemical

Reexamination Certificate

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C702S020000, C703S011000, C536S023100, C435S006120

Reexamination Certificate

active

07343247

ABSTRACT:
The invention provides a method of determining a comparative expression profile in an individual by comparing the expression levels of a sample of molecules in a population of molecules in a specimen from the individual with a health-associated reference expression region of the sample of molecules, wherein expression levels within the health-associated reference expression region indicate a reference expression profile and wherein expression levels outside the health-associated reference expression region indicate a perturbed expression profile. The invention also provides methods of diagnosing a disease or a health state in an individual by comparing the expression level of a sample of molecules in a specimen from the individual with a health-associated reference expression region of the sample of molecules. The invention additionally provides a method of classifying a population by drug responsiveness.

REFERENCES:
patent: 5814445 (1998-09-01), Belyavsky et al.
patent: 6020135 (2000-02-01), Levine et al.
patent: 6153115 (2000-11-01), Le et al.
patent: 6188988 (2001-02-01), Barry et al.
patent: 6194217 (2001-02-01), Matson
patent: 6203987 (2001-03-01), Friend et al.
patent: 6218122 (2001-04-01), Friend et al.
patent: 6251601 (2001-06-01), Bao et al.
patent: 6324479 (2001-11-01), Friend et al.
patent: 6346381 (2002-02-01), Cohen et al.
patent: 6774120 (2004-08-01), Ferber
patent: 2001/0018182 (2001-08-01), Friend et al.
patent: WO 97/05553 (1997-02-01), None
patent: WO98/53319 (1998-11-01), None
patent: WO 99/11822 (1999-03-01), None
patent: WO 99/57130 (1999-11-01), None
patent: WO 00/11208 (2000-02-01), None
patent: WO00/70340 (2000-11-01), None
Aebersold et al., “Equipping scientists for the new biology,”Nature Biotechnology18:359 (2000).
Alper J., “Weighing DNA for fast genetic diagnosis,”Science279:2044-2045 (1998)
Anderson,An Introduction to Multivariate Statistical Analysis, second ed., chapter 6, pp. 195-243 Wiley, New York (1984).
Burton and Harding, “Hydrophobic charge induction chromatography: salt independent protein adsorption and facile elution with aqueous buffers,”J. Chromatography314:71-81 (1998).
Eichler et al., “Peptide, peptidomimetic, and organic synthetic combinatorial libraries,”Med. Res. Rev. 15:481-496 (1995).
Ellington and Szostak, “In vitro selection of RNA molecules that bind specific ligands,”Nature346:818-822 (1990).
Emili and Cagney, “Large-scale functional analysis using peptide or protein arrays,”Nature Biotech. 18:393-397 (2000).
Famulok M., “Oligonucleotide aptamers that recognize small molecules,”Current Opinion in Structural Biology9:324-329 (1999).
Famulok and Mayer, “Aptamers as tools in molecular biology and immunolgoy,”Curr. Top. Microbiol. Immunol. 243:123-136 (1999).
Fang et al., “Designing a novel molecular beacon for surface-immobilized DNA hybridization studies,”J. Am. Chem. Soc. 121:2921-2922 (1999).
Fang et al., “Single and multiple molecular beacon probes for DNA hybridization studies on a silica glass surface,”SPIE3602:149-155 (1999).
Francis et al., “Combinatorial libraries of transition-metal complexes, catalysts and materials,”Curr. Opin. Chem. Biol. 2:422-428 (1998).
Freund and Schapire, “A decision-theoretic generalization of on-line learning and an application to boosting,”J. Computer System Sciences55:119-139 (1997).
GeneExpress : Integrated solutions for drug discovery and development, www.genelogic.com printed Mar. 23, 2000.
“Gene Logic completes atlas of normal human gene expression,” www.genelogic.com printed Mar. 23, 2000.
“Gene Logic and Fujisawa Pharmaceutical sign collaborative discovery research alliance; companies to identify gene expression profiles for diabetes therapeutics, ” www.genelogic.com printed Mar. 23, 2000.
Gold et al., “Diversity of oligonucleotide functions,”Annu. Rev. Biochem. 64:763-797 (1995).
Golub et al , “Molecular classification of cancer: class discovery and class prediction by gene expression monitoring,”Science286:531-537 (1999).
Gygi et al., “Quantitative analyis of complex protein mixtures using isotope-coded affinity tags,”Nature Biotechnol. 17:994-999 (1999).
Hermann and Patel, “Adaptive recognition by nucleic acid aptamers,”Science287:820-825 (2000).
Hollstein et al.,“p53 mutations in human cancers,”Science253:49-53 (1991).
Hughes et al., “Functional discovery via a compendium of expression profiles,”Cell102:109-126 (2000).
Jayasena S., “Aptamers: an emerging class of molecules that rival antibodies in diagnostics,”Clin. Chem. 45:1628-1650 (1999).
Joyce G., “In vitro evolution of nucleic acids,”Curr. Opin. Struct. Biol. 4:331-336 (1994).
Li and Breaker, “Deoxyribozymes: new players in the ancient game of biccatalysis,”Current Opinion in Structural Biology9:315-323 (1999).
Lorsch and Szostak, “Chance and necessity in the selection of nucleic acid catalysts,”Acc. Chem. Res. 29:103-110 (1996).
Sofia M., “Carbohydrate-based combinatorial libraries,”Mol. Divers. 2:75-94 (1998).
Sutcliffe et al., “TOGA: An automated parsing technology for analyzing expression of nearly all genes,”Proc. Natl. Acad. Sci. USA97:1976-1981 (2000).
Suzuki et al., “Insulin resistance associated with decreased levels of insulin-receptor messenger ribonuclic acid: evidence of a de novo mutation in the maternal allele,”J. Clin. Endocrinol. Metab, 80:1214-1220(1995).
Taira et al., “Human diabetes associated with a delection of the tryosine kinase domain of the insulin receptor,”Science245:63-66 (1989).
Taylor S., “Lilly lecture: molecular mechanisms of insulin resistance,”Diabetes41:1473-1490 (1992).
Tietz Textbook Clinical Chemistry, 2nd ed., Burtis and Ashwood, eds., W.B. Saunders Co., Philadelphia, pp. 958-984, 992-997, 1053-1087, 1211-1228, 1320-1350, 1354-1372, 1743-1772, 1887-1913 and 2059-2066 (1994).
Tietz Textbook Clinical Chemistry, 3rd ed., Burtis and Ashwood, eds., W.B. Saunders Co., Philadelphia, Chapters 2 and 11-14, pp. 42-72 and 265-355 (1999).
Tokino and Nakamura, “The role of p53-target genes in human cancer,”Critical Reviews in Oncology/Hematology33:1-6 (2000).
Tuerk and Gold, “Systemic evolution of ligands by exponential enrichment; RNA ligands to T4 DNA polymerase,”Science249:505-510 (1990).
Walt, D., “Bead-based fiber-optic arrays,”Science287:451-452 (2000).
Wang X., “Role of p53 and apostosis in carcinogenesis,”Anticancer Research19:4759-4771 (1999).
Abe S., “Training of a Fuzzy Classifier with Ellipsoidal Regions by Dynamic Cluster Generation,”Knowledge-Based Intelligent Electronic Systems, Second International Conference, 126-131 (1998).
Alon et al, “Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays,”Proc. Natl. Acad. Sci. USA96:6745-6750 (1999).
Ben-Dor et al. “Tissue Classification with Gene Expression Profiles,”RECOMB 2000 Proceedings of the Fourth Annual International Conference on Computational MolecularBiology, vol. Conf. 4, 54-64 (2000).
Claverie J-M, “Computational methods for the identification of differential and coordinated gene expression,”Human Molecular Genetics8:1821-1832 (1999).
Scherf et al, “A gene expression database for the molecular pharmacology of cancer,”Nature Genetics24:236-244 (2000).
Temayo et al, “Interpreting patterns of gene expression with self-organizing maps: Methods and application to hematopoietic differentiation ,”Proc. Natl. Acad. Sci. USA96:2907-2912 (1999).
Hughs et al., “Functional discovery via a compendium of expression profiles”Cell102:109-126 (2000).
Leethanakul et al., “Distinct pattern of expression of diffe

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