DATA PROCESSING, ANALYSIS METHOD OF GENE EXPRESSION DATA TO IDENTIFY ENDOGENOUS REFERENCE GENES

• Main Authors: Shin, Young Kee, Oh, En Sel, In, Yong-Ho, Kwon, Mi Jeong, Koh, Sang Seok
• Format: Patent
• Language: English; French; German
• Published: 17.06.2020
• Subjects: BEER; BIOCHEMISTRY; CHEMISTRY; COMPOSITIONS OR TEST PAPERS THEREFOR; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES; ENZYMOLOGY; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS; METALLURGY; MICROBIOLOGY; MUTATION OR GENETIC ENGINEERING; PHYSICS; PROCESSES OF PREPARING SUCH COMPOSITIONS; SPIRITS; VINEGAR; WINE

Disclosed are a data processing and analysis method of gene expression data for identifying endogenous reference genes and a composition for the quantitative analysis of gene expression, comprising a pair of primers and/or probes useful in the amplification of the identified endogenous reference genes. Introduced with the concepts of 'Zero's proportion' and CV, the method allows different datasets to be integrally analyzed, thereby searching for novel reference genes. By the method, 2,087 genes are first found as housekeeping genes which are expressed in most tissues, and the usefulness thereof in the relative quantification of different target genes is determined by analyzing their expression stability. Out of the 2,087 genes, 13 genes are found to show higher expression stability with lower expression levels across a wide range of samples than traditional reference genes such as GAPDH and ACTB, and therefore are suitable for the normalization of universal genes having relatively low expression levels.