Methods of normalization in microRNA detection assays

Chemistry: molecular biology and microbiology – Measuring or testing process involving enzymes or... – Involving nucleic acid

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C435S091100, C536S023100, C536S024300

Reexamination Certificate

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07993831

ABSTRACT:
This application describes methods of quantifying a target miRNA in a biological sample by measuring the amounts of a target miRNA and at least one reference oncomir in a reaction volume, and normalizing the amount of target miRNA to the amount of one or more reference oncomirs.

REFERENCES:
patent: 5736333 (1998-04-01), Livak et al.
patent: 2005/0266418 (2005-12-01), Chen et al.
patent: 2006/0078894 (2006-04-01), Winkler et al.
patent: 2008/0306018 (2008-12-01), Croce et al.
Ota, A. et al., Cancer Research, vol. 64, pp. 3087-3095 (2004).
Lim et al., Genes & Dev., vol. 17, pp. 991-1008 (2003).
Abruzzo et al., “Validation of oligonucleotide microarray data using microfluidic low-density arrays: a new statistical method to normalize real-time RT-PCR data,”BioTechniques38:785-792 (2005).
Andersen et al., “Normalization of Real-Time Quantitative Reverse Transcription-PCR Data: A Model-Based Variance Estimation Approach to Identify Genes Suited for Normalization, Applied to Bladder and Colon Cancer Data Sets,”Cancer Research64:5245-5250 (2004).
Applied Biosystems User Bulletin #2, “ABI Prism 7700 Sequence Detection System,” P/N 4303859B (2001).
Bandres et al., “Identification by Real-time PCR of 13 mature microRNAs differentially expressed in colorectal cancer in non-tumoral tissues,”Molecular Cancer5:29 (2006).
Bijwaard et al., “Detection ofSYT-SSXFusion Transcripts in Archival Synovial Sarcomas by Real-Time Reverse Transcriptase-Polymerase Chain Reaction,”Journal of Molecular Diagnostics4(1):59-64 (2002).
Calin et al., “MicroRNA-Cancer Connection: The Beginning of a New Tale,”Cancer Res66(15):7390-7394 (2006).
Chen et al., “Real-time quantification of microRNAs by stem-loop RT-PCR,”Nucleic Acids Research33(20):e179 (2005).
Chen et al., “Differential Patterns of MicroRNA Expression in Neuroblastoma Are Correlated with Prognosis, Differentiation, and Apoptosis,”Cancer Research67(3):976-983 (Feb. 2007).
Cummins et al., “The colorectal microRNAome,”Proc. Natl. Acad. Sci.103(10):3687-3692 (2006).
Davoren et al., “Comparison of endogenous control genes for normalisation of relative quantitative real-time PCR data in a study characterising microRNA expression in human breast cancer tissues,” qPCR 2007 Symposium, Freising-Weihenstephan, Germany, Mar. 26, 2007. http://qpcr2007.gene-quantification.info/.
de Kok et al., “Normalization of gene expression measurements in tumor tissues: comparison of 13 endogenous control genes,”Laboratory Investigation85:154-159 (2005).
Erickson et al., “Assessment of normalization strategies for quantitative RT-PCR using microdissected tissue samples,”Lab Invest87(9):951-62 (Sep. 2007).
Garzon et al., “MicroRNA fingerprints during human megakaryocytopoiesis,”PNAS103(13):5078-5083 (2006).
Huber et al., “Variance stabilization applied to microarray data calibration and to the quantification of differential expression,”Bioinformatics18:S96-S104 (2002).
Inamura et al., “let-7 microRNA expression is reduced in bronchioloaveolar carcinoma, a non-invasive carcinoma, and is not correlated with prognosis,”Lung Cancer58:392-396 (2007).
Iorio et al., “MicroRNA Gene Expression Deregulation in Human Breast Cancer,”Cancer Research65(16):7065-7070 (2005).
Jansen et al., “Efficient and easy detection of MLL-AF4, MLL-AF9 and MLL-ENL fusion gene transcripts by multiplex real-time quantitative RT-PCR in TaqMan and LightCycler,”Leukemia19(11):2016-2018 (2005).
Kemppainen et al., “microRNAs as biomarkers in blood and other biofluids,” poster presented at Keystone meeting “MicroRNAs and siRNAs: Biological Functions and Mechanisms (J5),” Keystone, CO. Jan. 28-Feb. 2, 2007. http://asuragen.com/pdfs/posters/biomarkers.pdf.
Lee et al., “Expression profiling identifies microRNA signature in pancreatic cancer,”Int. Journal Cancer120(5):1046-1054 (2007).
Li et al., “Antiprimer Quenching-Based Real-Time PCR and Its Application to the Analysis of Clinical Cancer Samples,”Clin. Chem. 52(4):624-633 (2006).
Mattie et al., “Optimized high-throughput microRNA expression profiling provides novel biomarker assessment of clinical prostate and breast cancer biopsies,”Molecular Cancer5:24 (2006).
Michael et al., “Reduced Accumulation of Specific MicroRNAs in Colorectal Neoplasia,”Molecular Cancer Research1:882-891 (2003).
Molenkamp et al., “Simultaneous detection of five different DNA targets by real-time Taqman PCR using the Roche LightCycler480: Application in viral molecular diagnostics,”J. Virol Methods141(2):205-11 (2007).
Payungporn et al. “Single step multiplex real-time RT-PCR for H5N1 influenza A virus detection,”J. Virol Methods131(2):143-147 (2006).
Pfaffl, “Relative mRNA quantification using real-time qRT-PCR: Recent advances and new perspectives,” BioTechnica 2005, Oct. 19, 2005, Hannover.
Pfaffl, “Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper—Excel-based tool using pair-wise correlations,”Biotechnol Lett. 26(6):509-15 (2004).
Schouten et al., “Relative quantification of 40 nucleic acid sequences by multiplex ligation-dependent probe amplification,”Nucleic Acids Research30(12):e57 (2002).
Shingara et al., “An optimized isolation and labeling platform for accurate microRNA expression profiling,”RNA11:1461-1470 (2005).
Shulzhenko et al., “Selection of control genes for quantitative RT-PCR based on microarray data,”Biochemical and Biophysical Research Communication337:306-312 (2005).
Spinsanti et al., “Selection of reference genes for quantitative RT-PCR studies in striped dolphin (Stenella coeruleoalba) skin biopsies,”BMC Molecular Biology7:32 (2006).
Szabo et al., “Statistical modeling for selecting housekeeper genes,”Genome Biol. 5(8):R59 (2004).
Szafranzka et al., “MicroRNA expression alterations are linked to tumorigenesis and non-neoplastic processes in pancreatic ductal adenocarcinoma,”Oncogene26:1-11 (2007).
Vandesompele et al., “Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes,”Genome Biol. 3(7):research0034.1-0034.11 (2002).
Vandesompele, “Gene expression profiling: accurate normalisation and automated data-analysis,” qPCR Satellite Symposium, Mar. 11, 2005, Leipzig, Germany.
Vandesompele, “geNorm user manual,” Sep. 6, 2004. http://medgen.ugent.be/˜jvdesomp/genorm/.
Wiemer, “The role of microRNAs in cancer: No small matter,”European Journal of Cancer43:1529-1544 (2007).
Wong et al., “Real-time PCR for mRNA quantitation,”BioTechniques39(1): 1-11 (2005).
Zhang et al., “microRNAs exhibit high frequency genomic alterations in human cancer,”Proc. Natl. Acad. Sci. 103(24):9136-9141 (2005).

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