Identifying antigen clusters for monitoring a global state...

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

Reexamination Certificate

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C424S193100, C424S130100, C424S131100, C424S138100, C424S139100, C435S007100

Reexamination Certificate

active

08010298

ABSTRACT:
Method, system and an article of manufacture for clustering and thereby identifying predefined antigens reactive with undetermined immunoglobulins of sera derived from patient subjects in need of diagnosis of disease or monitoring of treatment.

REFERENCES:
patent: 3849550 (1974-11-01), Teitelbaum et al.
patent: 5114844 (1992-05-01), Cohen et al.
patent: 5578303 (1996-11-01), Cohen et al.
patent: 5671848 (1997-09-01), Cohen et al.
patent: 5763158 (1998-06-01), Bohannon
patent: 5780034 (1998-07-01), Cohen et al.
patent: 5800808 (1998-09-01), Konfino et al.
patent: 5858804 (1999-01-01), Zanzucchi et al.
patent: 5981700 (1999-11-01), Rabin
patent: 6048898 (2000-04-01), Konfino et al.
patent: 6054430 (2000-04-01), Konfino et al.
patent: 7276341 (2007-10-01), Harley et al.
patent: 2004/0014069 (2004-01-01), Cohen et al.
patent: 2005/0260770 (2005-11-01), Cohen et al.
patent: 0417271 (1998-12-01), None
patent: WO 99/39210 (1999-08-01), None
Communication Pursuant to Article 96(2) EPC Dated Aug. 28, 2006 From the European Patent Office Re.: Application No. 01961032.8.
Office Action Dated Apr. 2, 2008 From the Israeli Patent Office Re.: Application No. 153832.
Official Action Dated Mar. 1, 2007 From the US Patent and Trademark Office Re.: U.S. Appl. No. 10/332,241.
Official Action Dated Sep. 19, 2007 From the US Patent and Trademark Office Re.: U.S. Appl. No. 10/332,241.
Official Action Dated Jul. 22, 2008 From the US Patent and Trademark Office Re.: U.S. Appl. No. 10/332,241.
Communication Pursuant to Article 94(3) EPC Dated Aug. 31, 2009 From the European Patent Office Re.: Application No. 01961032.8.
Communication Pursuant to Article 96(2) EPC Dated Jun. 25, 2007 From the European Patent Office Re.: Application No. 01961032.8.
Examiner's Report Dated Jan. 6, 2006 From the Australian Government, IP Australia Re.: Application No. 2001282414.
Office Action Dated Dec. 3, 2008 From the Israeli Patent Office Re.: Application No. 153832 and Its Translation Into English.
Official Action Dated Jun. 12, 2009 From the US Patent and Trademark Office Re.: U.S. Appl. No. 11/094,142.
Official Action Dated Sep. 15, 2006 From the US Patent and Trademark Office Re.: U.S. Appl. No. 10/332,241.
Official Action Dated Apr. 21, 2006 From the US Patent and Trademark Officie Re.: U.S. Appl. No. 10/332,241.
Response Dated Nov. 12, 2009 to Official Action of Jun. 12, 2009 From the US Patent and Trademark Office Re.: U.S. Appl. No. 11/094,142.
Abulafia-Lapid et al. “T Calls and Autoantibodies to Human HSP70 in Type 1 Diabetes in Children” Journal of Autoimmunology, 20: 313-321, 2003.
Abulafia-Lapid et al. “T Cell Proliferative Responses of Type 1 Diabetes Patients and Healthy Individuals to Human Hsp60 and Its Peptides”, Journal of Autoimmunology, 12: 121-129, 1999.
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. USA, 96: 6745-6750, 1999. p. 6749, r-h Col.
Batstra et al. “Prediction and Diagnosis of Type 1 Diabetes Using Beta-Cell Autoantibodies”, Clin. Lab., 47(9-10): 497-507, 2001. Abstract.
Cahill “Protein Arrays: A High-Throughput Solution for Proteomics Research?”, Trends in Biotechnology, 18: 47-51, 2000.
Domany “Superparamagnetic Clustering of Data—The Definitive Solution of an Ill-Posed Problem”, Physica A, 263: 158-169, 1999. p. 166-168.
Eisen et al. “Cluster Analysis and Display of Genome-Wide Expression Patterns”, Proc. Natl. Acad. Sci. USA, 95(25): 14863-14868, 1998.
Ferreira et al. “Instability of Natural Antibody Repertoires in Systemic Lupus Erythematosus Patients, Revealed by Multiparametric Analysis of Serum Antibody Reactivities”, Scandinavian Journal of Immunology, 45: 331-341, Mar. 1997.
Fraley et al. “How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis”, Technical Report No. 329, Department of Statistics, University of Washington, Seattle, WA, P.I, 1-19, 1998.
Getz et al. “Coupled Two-Way Clustering Analysis of Gene Microarray Data”, Proc. Natl. Acad. Sci. USA, 97(22): 12079-12084, 2000. p. 12079, 12084.
Golub et al. “Molecular Classification of Cancer: Class Discovery and Class Predicition by Gene Expression Monitoring”, Science, XP002207658, 286(5439): 531-537, 1999.
Ito et al. “Cell Proliferation in Childhood Acute Leukemia. Comparison of Ki-67 and Proliferating Cell Nuclear Antigen Immunocytochemical and DNA Flow Cytometric Analysis”, Cancer, 69(8): 2176-2182, 1992.
Joos et al. “A Microarray Enzyme-Linked Immunosorbent Assay for Autoimmune Diagnostics”, Electrophoresis, 21: 2641-2650, 2000.
Könen-Waisman et al. “Self and Foreign 60-Kilodalton Heat Shock Protein T Cell Epitope Peptides Serve as immunogenic Carriers for a T Cell-Independent Sugar Antigen”, The Journal of Immunology, 154: 5977-5985, 1995.
Lieberman et al. “A Comprehensive Guide to Antibody and T-Cell Responses in Type 1 Diabetes”, Tissue Antigens, 62: 359-377, 2003.
Lossos et al. “Anticardiolipin Antibodies in Acute Myeloid Leukemia: Prevalence and Clinical Significance”, American Journal of Hematology, 57: 139-143, 1998.
Mor et al. “IL-2 and TNF Receptors as Targets of Regulatory T-T Interactions”, The Journal of Immunology, 157: 4855-4861, 1996.
Oliva et al. “Automated Classification of Antibody Complementarity Determining Region 3 of the Heavy Chain (H3) Loops Into Canonical Forms and Its Application to Protein Structure Prediction”, Jounal of Molecular Biology, 279(5):1193-1210, 1998. p. 1193-1194.
Pal et al. “Identification and Purification of Cytolytic Antibodies Directed Against O-Acetylated Sialic Acid in Childhood Acute Lymphoblastic Leukemia”, Glycobiology, 10(6): 539-549, 2000.
Quintana et al. “Cluster Analysis of Human Autoantibody Reactivities in Health and in Type 1 Diabetes Mellitus: a Bio-Informatic Approach to Immune Complexity”, Journal of Autoimmunity, 21: 65-75, 2003.
Quintana et al. “Functional Immunomics: Microarray Analysis of IgG Autoantibody Repertoires Predicts the Future Response of Mice to Induced Diabetes”, PNAS Early Ed., p. 1-7, 2004.
Robinson et al. “Autoantigen Microarrays for Multiplex Characterization of Autoantibody Responses”, Nature Medicine, 8(3): 295-301, 2002.
Robinson et al. “Protein Microarrays Guide Tolerizing DNA Vaccine Treatment of Autoimmune Encephalomyelitis”, Nature Biotechnology, 21(9): 1033-1039, 2003.
Office Action Dated Mar. 8, 2010 From the Israeli Patent Office Re.: Application No. 153832 and Its Translation Into English.
Official Action Dated Mar. 16, 2010 From the US Patent and Trademark Office Re.: U.S. Appl. No. 11/094,142.
Response Dated Feb. 25, 2010 to Communication Pursuant to Article 94(3) EPC of Aug. 31, 2009 From the European Patent Office Re.: Application No. 01961032.8.
Response Dated Sep. 16, 2010 to Official Action of Mar. 16, 2010 From the US Patent and Trademark Office Re.: U.S. Appl. No. 11/094,142.
Response Dated Jul. 8, 2010 to Office Action of Mar. 8, 2010 From the Israeli Patent Office Re.: Application No. 153832.

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