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GeneChip, geNorm, and gastrointestinal tumors: novel reference genes for real-time PCR.

GeneChip, geNorm, and gastrointestinal tumors: novel reference genes for real-time PCR. Research Abstract Details 

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  • GeneChip, geNorm, and gastrointestinal tumors: novel reference genes for real-time PCR. Abstract Text:

    mark kiddMark Kidd,boaz nadlerBoaz Nadler,shrikant maneShrikant Mane,geeta eickGeeta Eick,maximillian malfertheinerMaximillian Malfertheiner,manish champaneriaManish Champaneria,roswitha pfragnerRoswitha Pfragner,irvin modlinIrvin Modlin,

    Accurate quantitation of target genes depends on correct normalization. Use of genes with variable tissue transcription (GAPDH) is problematic, particularly in clinical samples, which are derived from different tissue sources. Using a large-scale gene database (Affymetrix U133A) data set of 36 gastrointestinal (GI) tumors and normal tissues, we identified 8 candidate reference genes and established expression levels by real-time RT-PCR in an independent data set (n = 42). A geometric averaging method (geNorm) identified ALG9, TFCP2, and ZNF410 as the most robustly expressed control genes. Examination of raw C(T) values demonstrated that these genes were tightly correlated between themselves (R2 > 0.86, P < 0.0001), with low variability [coefficient of variation (CV) <12.7%] and high interassay reproducibility (r = 0.93, P = 0.001). In comparison, the alternative control gene, GAPDH, exhibited the highest variability (CV = 18.1%), was significantly differently expressed between tissue types (P = 0.05), was poorly correlated with the three reference genes (R2 < 0.4), and was considered the least stable gene. To illustrate the importance of correct normalization, the target gene, MTA1, was significantly overexpressed (P = 0.0006) in primary GI neuroendocrine tumor (NET) samples (vs. normal GI samples) when normalized by geNorm(ATZ) but not when normalized using GAPDH. The geNorm(ATZ) approach was, in addition, applicable to adenocarcinomas; MTA1 was overexpressed (P < 0.04) in malignant colon, pancreas, and breast tumors compared with normal tissues. We provide a robust basis for the establishment of a reference gene set using GeneChip data and provide evidence for the utility of normalizing a malignancy-associated gene (MTA1) using novel reference genes and the geNorm approach in GI NETs as well as in adenocarcinomas and breast tumors.

    GeneChip, geNorm, and gastrointestinal tumors: novel reference genes for real-time PCR. Publishing Authors By Initials

    m kiddM Kidd,b nadlerB Nadler,s maneS Mane,g eickG Eick,m malfertheinerM Malfertheiner,m champaneriaM Champaneria,r pfragnerR Pfragner,i modlinI Modlin,

    For similar biological factors: biological markers: tumor markers, biological research abstracts see: biological factors: biological markers: tumor markers, biological research

    PUBMED ID PMID:

    MEDLINE DATE:

    GeneChip, geNorm, and gastrointestinal tumors: novel reference genes for real-time PCR. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: Physiological genomics

    VOLUME: 30

    Page Numbers: 363-70

    Journal Abbreviation: Physiol. Genomics

    ISSN: 1531-2267

    DAY: 24

    MONTH: 04

    YEAR: 2007

    GeneChip, geNorm, and gastrointestinal tumors: novel reference genes for real-time PCR. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 9815683

    GeneChip, geNorm, and gastrointestinal tumors: novel reference genes for real-time PCR. Keywords Mesh Terms:

    KEYWORDS: Tumor Markers, Biological

    MESH TERMS: isolation & purification

    Chemical & Substance for Abstract: GeneChip, geNorm, and gastrointestinal tumors: novel reference genes for real-time PCR. Information

    Substance Name: Tumor Markers, Biological

    Registry Number: 0

    Grant and Affiliation Information for GeneChip, geNorm, and gastrointestinal tumors: novel reference genes for real-time PCR.

    AFFILIATION: Gastrointestinal Research Group, Yale University School of Medicine, New Haven, Connecticut, USA.

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United States NCI

    GRANT: R01-CA-115825

    ACRONYM: CA

    MEDLINETA: Physiol Genomics

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