Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts: Gene/Protein Disease Symptom Drug Enzyme Compound   Target Concepts: Gene/Protein Disease Symptom Drug Enzyme Compound

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Query: EC:1.2.1.13 (glyceraldehyde-3-phosphate dehydrogenase)
6,511 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Preeclampsia and diabetes are complications of pregnancy that contribute to maternal and perinatal mortality worldwide. Results emerging from molecular studies of placentae may elucidate etiologically important genomic alterations. Appropriate application of real time reverse transcription (RT) PCR in comparative gene expression studies requires endogenous housekeeping genes to normalize between sample variations. Ideal housekeeping genes must have stable tissue expression, but few have been specifically studied in the placenta. We sought to identify candidate control genes by analyzing seven functionally distinct housekeeping genes (B2M, GAPDH, HMBS, HPRT, SDHA, TBP, YWHAZ) for their expression stability and level in the placenta. mRNA isolated from 20 placentae was analyzed for gene expression using RT-PCR. Expression stability (M) was assessed using normalization strategies previously used for other tissues. TBP and SDHA were the most stable, with an average expression stability of M = 0.43, followed by YWHAZ (M = 0.44) > HPRT (M = 0.53) > HMBS (M = 0.57) > GAPDH (M = 0.61) > B2M (M = 0.69). The genes tested ranged in abundance, with an approximately 300-fold increase from the lowest (HMBS) to the highest (B2M). By using TBP, SDHA and YWHAZ, with greater expression stability than those housekeeping genes commonly used in placenta studies, gene expression profile comparisons will have more sensitivity and specificity.
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PMID:Evaluation of housekeeping genes in placental comparative expression studies. 1608 39

Laser microdissection combined with real-time RT-PCR presents an advanced tool to quantify particular RNA species in defined tissue areas. Dealing with infectious tissue samples increases the need to overcome the risk of infectivity and contamination during laser microdissection. Here, an useful method to control infectivity of frozen brain sections infected with the Borna disease virus (BDV), an enveloped RNA virus, is described. Various pre-treatments were applied prior to laser microdissection and subsequent real-time RT-PCR. Brain sections were incubated with Vennotrade mark Vet 1 super 1% or 70% ethanol for 30, 60 and 90min, followed by quantification of infectious virus and RNA recovery using laser microdissection. Total RNA specific for the BDV nucleoprotein (BDV-N) and the cellular genes glyceraldehyde-3-phosphate dehydrogenase (GAPDH), succinate-ubiquinone reductase (SDHA) and hypoxanthine phosphoribosyl-transferase-1 (HPRT) was measured by real-time RT-PCR and compared to BDV-infected control samples. After 30 min incubation with both disinfectants, no infectious virus was isolated, while sufficient cDNA copy numbers were amplified. As tissue morphology was best preserved after ethanol treatment, 30min incubation with 70% ethanol was selected as the method of choice to prevent infectivity of BDV. This procedure represents a suitable pre-treatment option to ensure adequate safety of virus infected central nervous system tissue.
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PMID:Preservation of RNA and destruction of infectivity in microdissected brain tissues of Lewis rats infected with the Borna disease virus. 1670 70

Laser microdissection combined with real-time RT-PCR represents a powerful method to analyse the transcription efficiency of defined cell types. Therefore, a RNA-preserving immunolabelling method was established to identify neurons and astrocytes in persistently BDV-infected rat brain sections for subsequent laser microdissection and quantitation of viral gene products by real-time RT-PCR. Firstly, to ensure an accurate measurement of viral RNA after immunolabelling, different reference genes (glyceraldehyde-3-phosphate dehydrogenase [GAPDH], succinate-ubiquinone reductase [SDHA], hypoxanthine phosphoribosyl-transferase-1 [HPRT]) were tested. Only normalisation with GAPDH yielded a stable relative expression of viral RNA encoding the nucleoprotein (BDV-N), the matrixprotein and the glycoprotein (intron I and intron II). The two remaining reference genes biased the ratios of BDV-transcripts in the immunolabelled brain sections significantly. Secondly, 100 immunolabelled neurons and astrocytes were harvested using laser microdissection and amplification of all viral transcripts revealed 681 and 168 (BDV-N), 573 and 254 (intron I), 324 and 133 (intron II) and 161 and 36 (GAPDH) absolute copy numbers in neurons and astrocytes, respectively. Thus, laser microdissection combined with real-time RT-PCR provides an effective tool for the analysis of cell-specific viral transcription efficiency and allows elucidating virus-host-interactions and virus persistence mechanisms in the CNS.
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PMID:A rapid method for gene expression analysis of Borna disease virus in neurons and astrocytes using laser microdissection and real-time RT-PCR. 1805 93

Quantitative real-time PCR (qRT-PCR) represents an effective molecular technique for the detection of mRNA expression in biological samples. Its sensitivity allows the quantification of slight changes in the regulation of gene transcription but is strictly dependent upon the method followed during the normalization procedure. Relative quantification determines changes in the steady-state mRNA levels of genes across multiple samples and it is assessed by comparison with the levels of one or more internal control RNA. In this context, the choice of constitutively expressed control genes, whose transcription is not affected by the contaminants, appears to be fundamental for the reliability of this technique. During this study, fibroblast cell cultures originated from integumentum biopsies, sampled in the cetacean species Stenella coeruleoalba, have been exposed for 6h to increasing concentrations of different mixtures of compounds with endocrine disruptor capacities (EDCs): organochlorines (OCs), polybrominated diphenyl ethers (PBDEs), and 17beta-estradiol. Ten common housekeeping genes have been tested for the expression of their transcripts in exposed cell cultures using qRT-PCR assays and raw data were analyzed with the two Excel applets geNorm and NormFinder. The genes encoding for SDHA, GAPDH and YWHAZ appear to be the most reliable controls, respectively, for the OC, PBDE and 17beta-estradiol treatments. These results clearly show that the transcription of even widely diffused control genes can be regulated by different treatments and underlie the importance of a careful selection of the optimal housekeeping genes in toxicological studies.
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PMID:Selection of reliable reference genes for qRT-PCR studies on cetacean fibroblast cultures exposed to OCs, PBDEs, and 17beta-estradiol. 1833 35

Validation of reference gene expression stabilities is a prerequisite for reliable normalization of qPCR data. The present study assessed the variation of six reference genes (ACTB, GAPDH, B2M, HPRT1, SDHA, YWHAZ) in Caco-2 cells under the influence of different growth supports and cultivation periods. Genes were ranked according to their stability using the geNorm software. To verify the influence of reference gene selection, ALPI gene expression during differentiation was quantified using the most or the least stable reference gene for normalization. Experimental conditions significantly affected the expression levels of reference genes. Whereas GAPDH and ACTB were revealed as most stable genes, SDHA was the least stable one. The extent of ALPI gene expression was significantly changed by the selection of the reference gene. This study provides a basis for qPCR studies related to both the differentiation process of Caco-2 cells and the elucidation of cell behaviour influenced by surface modifications.
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PMID:Validation of reference genes for qPCR studies on Caco-2 cell differentiation. 1847 53

Comparative gene expression studies in the placenta may provide insights into molecular mechanisms of important genomic alterations in pregnancy disorders. Endogenous reference genes often referred to as housekeeping genes, are routinely used to normalise gene expression levels. For this reason, it is important that these genes be empirically evaluated for stability between placental samples including samples from complicated pregnancies. To address this issue, six candidate housekeeping genes including several commonly used ones (ACTB, GAPDH, 18S rRNA, TBP, SDHA and YWHAZ) were investigated for their expression stability in placentae obtained from pregnancies complicated by idiopathic FGR (n=25) and gestation-matched control pregnancies (n=25). Real-time PCR was performed using pre-validated gene expression assay kits. The geNorm program was used for gene stability measure (M) for the entire housekeeping genes in all control and FGR-affected placental samples. Results showed that GAPDH and 18S rRNA were most stable, with an average expression stability of M=0.441 and 0.443, respectively, followed by YWHAZ (M=0.472). SDHA, ACTB and TBP were the least stable housekeeping genes (M=0.495, 0.548 and 1.737, respectively). We recommend geometric averaging of two or more housekeeping genes to determine relative gene expression levels between FGR-affected and control placentae.
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PMID:GAPDH, 18S rRNA and YWHAZ are suitable endogenous reference genes for relative gene expression studies in placental tissues from human idiopathic fetal growth restriction. 1868 3

Careful validation of reference genes used for the normalization of real-time RT-PCR data is required to obtain accurate results regarding gene expression. We evaluated the stability of seven commonly used reference genes in the cerebral cortex and hippocampus of rats 3 days following traumatic brain injury (TBI). HPRT, SDHA, and GUSB were found to be the most stable reference genes in the cerebral cortex, whereas B2MG, TBP, and GAPDH were the most stable in the hippocampus. The use of three reference genes was determined to be the optimal number for accurate normalization of data. To illustrate this point, when our gene of interest, substance P (SP), was normalized against the three most stable reference genes in both brain areas, we found no significant difference between injured and uninjured rats at the 3-day time point. However, when our SP data were normalized to each reference gene individually, SP mRNA level was highly variable depending on the reference gene chosen. The results of the present study highlight the importance of validating reference genes to be used for real-time RT-PCR analysis. The use of the most stable reference genes presented here will allow more accurate normalization of gene expression data in TBI.
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PMID:Validation of reference genes for normalization of real-time quantitative RT-PCR data in traumatic brain injury. 1871 51

Quantitative real-time PCR (qPCR) facilitates the quantification of mRNA expression. Accurate qPCR analysis of gene expression requires the normalisation of data using a reference or housekeeping gene which is expressed at a similar level in all tissues tested. GAPDH is the most well known and most widely used reference gene but many papers have demonstrated that it is not stably expressed in different tissues. The aim of this study was to measure reference gene stability in canine skin using real-time qPCR. Skin samples from healthy control dogs (n=7) and dogs with atopic dermatitis (lesional skin n=7 and non-lesional skin n=7) were used to quantify seven reference genes (IMP, CG14980, S7, HIRA, GAPDH, RPL13A and SDHA) in canine whole skin. Three different statistical programs (Bestkeeper, GeNorm and Normfinder) were used to assess the stability of the reference genes. The results confirmed that GAPDH is not a stably expressed reference gene in canine skin; this finding may influence interpretation of previous qPCR studies on canine skin using this as a reference gene. RPL13A and CG14980 were found to be the most stably expressed genes in canine whole skin and would be more suitable as reference genes in future studies.
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PMID:Reference genes for canine skin when using quantitative real-time PCR. 1882 65

Expression patterns of candidate genes with important functions in animal metabolism can help to identify potential molecular markers for cattle production traits. Reverse transcription followed by polymerase chain reaction is a method for rapid and accurate mRNA quantification. However, for exact comparison of mRNA quantity in various samples or tissues, it is important to choose appropriate reference genes. In cattle, little information is available on the expression stability of housekeeping genes (HKGs). The aim of the present study is to develop a set of reference genes that can be used for normalization of concentrations of mRNAs of genes expressed in the bovine liver, kidney, pituitary and thyroid. The study was performed on 6-, 9-, and 12-month-old bulls of dairy and meat cattle breeds. Six HKGs were investigated: ACTB, GAPDH, HPRTI, SDHA, TBP, and YWHAZ. The most stably expressed potential reference HKGs differed among tissues/organs examined: ACTB, TBP, YWHAZ, GAPDH, HPRTI, and SDHA in the liver; GAPDH and YWHAZ in the kidney; GAPDH and SDHA in the pituitary; and TBP and HPRTI in the thyroid. The results showed that the use of a single gene for normalization may lead to relatively large errors, so it is important to use multiple control genes based on a survey of potential reference genes applied to representative samples from specific experimental conditions.
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PMID:Evaluation of reference genes for studies of gene expression in the bovine liver, kidney, pituitary, and thyroid. 1902 84

Quantitative gene expression measurements from tumor tissue are frequently compared with matched normal and/or adjacent tumor tissue expression for diagnostic marker gene selection as well as assessment of the degree of transcriptional deregulation in cancer. Selection of an appropriate reference gene (RG) or an RG panel, which varies depending on cancer type, molecular subtypes, and the normal tissues used for interindividual calibration, is crucial for the accurate quantification of gene expression. Several RG panels have been suggested in breast cancer for making comparisons among tumor subtypes, cell lines, and benign/malignant tumors. In this study, expression patterns of 15 widely used endogenous RGs (ACTB, TBP, GAPDH, SDHA, HPRT, HMBS, B2M, PPIA, GUSB, YWHAZ2, PGK1, RPLP0, PUM1, MRPL19, and RPL41), and three candidate genes that were selected through analysis of two independent microarray datasets (IL22RA1, TC22, ZNF224) were determined in 23 primary breast tumors and their matched normal tissues using qRT-PCR. Additionally, 18S rRNA, ACTB, and SDHA were tested using randomly primed cDNAs from 13 breast tumor pairs to assess the rRNA/mRNA ratio. The tumors exhibited significantly lower rRNA/mRNA ratio when compared to their normals, on average. The expression of the studied RGs in breast tumors did not exhibit differences in terms of grade, ER, or PR status. The stability of RGs was examined based on two different statistical models, namely GeNorm and NormFinder. Among the 18 tested endogenous reference genes, ACTB and SDHA were identified as the most suitable reference genes for the normalization of qRT-PCR data in the analysis of normal matched tumor breast tissue pairs by both programs. In addition, the expression of the gelsolin (GSN) gene, a well-known downregulated target in breast tumors, was analyzed using the two most suitable genes and different RG combinations to validate their effectiveness as a normalization factor (NF). The GSN expression of the tumors used in this study was significantly lower than that of normals showing the effectivity of using ACTB and SDHA as suitable RGs in this set of tumor-normal tissue panel. The combinational use of the best performing two RGs (ACTB and SDHA) as a normalization factor can be recommended to minimize sample variability and to increase the accuracy and resolution of gene expression normalization in tumor-normal paired breast cancer qRT-PCR studies.
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PMID:Identification of endogenous reference genes for qRT-PCR analysis in normal matched breast tumor tissues. 1954 72


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