Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: EC:1.2.1.13 (glyceraldehyde-3-phosphate dehydrogenase)
 6,511 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Dietary lipid supplements affect mammary lipid metabolism partly through changes in lipogenic gene expression. Quantitative PCR (qPCR) is a sensitive, reliable, and accurate technique for gene expression analysis. However, variation introduced in qPCR data by analytical or technical errors needs to be accounted for via normalization using appropriate internal control genes (ICG). Objectives were to mine individual bovine mammary microarray data on >13,000 genes across 66 cows from 2 independent studies to identify the most suitable ICG for qPCR normalization. In addition to unsupplemented control diets, cows were fed saturated or unsaturated lipids for 21 d or were infused with supplements (butterfat, conjugated linoleic acid mixture, long-chain fatty acids) into the abomasum to modify milk fat synthesis and fatty acid profiles. We identified 49 genes that did not vary in expression across the 66 samples. Subsequent gene network analysis revealed that 22 of those genes were not co-regulated. Among those COPS7A, CORO1B, DNAJC19, EIF3K, EMD, GOLGA5, MTG1, UXT, MRPL39, GPR175, and MARVELD1 (sample/reference expression ratio = 1 +/- 0.1) were selected for PCR analysis upon verification of goodness of BLAT/BLAST sequence and primer design. Relative expression of B2M, GAPDH, and ACTB, previously used as ICG in bovine mammary tissue, was highly variable (0.9 +/- 0.6) across studies. Gene stability analysis via geNorm software uncovered MRPL39, GPR175, UXT, and EIF3K as having the most stable expression ratio and, thus, suitable as ICG. Analysis also indicated that use of 3 ICG was most appropriate for calculating a normalization factor. Overall, the geometric average of MRPL39, UXT, and EIF3K is ideal for normalization of mammary qPCR data in studies involving lipid supplementation of dairy cows. These novel ICG could be used for normalization in similar studies as alternatives to the less-reliable ACTB, GAPDH, or B2M.
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PMID:Identification of internal control genes for quantitative polymerase chain reaction in mammary tissue of lactating cows receiving lipid supplements. 1938 58

Reverse-transcription quantitative-PCR (RT-qPCR) is commonly used for assessing the cellular response to changes in physiologic and pathologic conditions. The selection of stable endogenous control genes is an important step of any RT-qPCR study, as expression can vary depending on the experimental environment. Our objective was to identify endogenous control genes in circulating neutrophils isolated from cows during the peripartum period. To do this, we used microfluidics gene expression arrays (Fluidigm, San Francisco, CA) for RT-qPCR analysis. Selection of the endogenous control genes was based on previous research investigating gene expression in neutrophils. The selected genes included ACTB, B2M, G6PD, GAPDH, GCH1, GOLGA5, OSBPL2, PGK1, RPL13A, RPL19, RPS9, SDHA, SMUG1, SNRPA, TBP, UXT, and YWHAZ. Four genes (GAPDH, GOLGA5, PGK1, and UXT) did not provide satisfactory quantification results using the selected method and were therefore excluded from the analyses. The suitability of the remaining 13 genes for use as endogenous control genes was assessed using geNorm and Normfinder. The gene pair with the greatest stability using geNorm was RPL13A and RPL19, whereas Normfinder ranked RPL19 and YWHAZ as the most stable pair. The 2 genes deemed most suitable for the experimental design were RPL19 and YWHAZ, which were selected for subsequent gene expression analysis. This study highlights that genes used as endogenous controls for relative quantification should be assessed on an experimental basis, even if the genes have been used in previous research.
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PMID:Technical note: Evaluation of endogenous control gene expression in bovine neutrophils by reverse-transcription quantitative PCR using microfluidics gene expression arrays. 2862 80