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Results for “differential gene expression”

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PubMed2003

Differentially expressed genes in neurofibromatosis 1-associated neurofibromas and malignant peripheral nerve sheath tumors.

Neurofibromas represent one of the hallmarks of neurofibromatosis 1 (NF1) patients. Tumor progression of neurofibromas to malignant peripheral nerve sheath tumors (MPNST) is a frequent and life threatening complication. To learn more about processes involved in malignant transformation, we evaluated differential gene expression in plexiform neurofibroma and MPNST from the same NF1 patient. Suppression subtractive hybridization (SSH) yielded 133 differentially expressed genes confirmed by reverse Northern blotting. Virtual Northern blots were employed to validate 23 genes. To independently verify differential expression, immunohistochemical analyses with antibodies to matrix metalloproteinase 13 (MMP13), platelet-derived growth factor receptor alpha (PDGFRA) and fibronectin (FN1) were performed on 9 dermal and 9 plexiform neurofibromas and 16 MPNST from 19 NF1 patients. All three proteins proved to be up-regulated in MPNST. MMP13 expression was observed in 44% of MPNST but was absent in neurofibromas. PDGFRA was expressed in all tumors, but the number of cells expressing it was below 30% in neurofibromas and over 50% in MPNST. Likewise, FN1 was expressed in all tumors, but less than 30% of the cells in neurofibromas and more than 70% of the cells in MPNST exhibited antibody binding. Our data point to several genes not previously recognized to be differentially expressed, and provide a framework for future studies on progression-associated gene expression in low- and high-grade nerve sheath tumors.

Adult↗

PubMed1996

Cloning differentially expressed genes by linker capture subtraction.

We have developed a simple and effective method, designated linker capture subtraction (LCS), for cloning differentially expressed genes between two cell types or between cells treated in two different ways. In the first step of the method, two mRNA populations are converted to double-stranded cDNAs, fragmented, and ligated to linkers for PCR amplification. In the second step, the linkered DNA (tester) from one mRNA population is hybridized to an excess of the unlinkered DNA (driver) from the other mRNA population, followed by incubation with mung bean nuclease which digests single-stranded DNA specifically. This leaves only tester-tester homohybrids to be amplified by PCR in the following step, so as to achieve an enrichment of tester-specific sequences. The amplified PCR products are then used as tester for another round of subtraction. The process of subtraction is carried out three times, and the final PCR products are inserted into a vector for clonal analysis. We have used the strategy to begin to clone and identify the genes expressed differentially between the human prostate cancer cell lines LNCaP and PC-3, which have different tumorigenic and metastatic potentials. We demonstrated strong enrichment of target sequences. We also report the identities of two of the genes expressed differentially in these cell lines. One is prostate-specific antigen (PSA) which is known to be expressed in LNCaP but not in PC-3. The other is vimentin, the differential expression of which has not been reported previously in these prostate cancer cells.

Base Sequence↗

PubMed2004

Leveraging two-way probe-level block design for identifying differential gene expression with high-density oligonucleotide arrays.

BACKGROUND: To identify differentially expressed genes across experimental conditions in oligonucleotide microarray experiments, existing statistical methods commonly use a summary of probe-level expression data for each probe set and compare replicates of these values across conditions using a form of the t-test or rank sum test. Here we propose the use of a statistical method that takes advantage of the built-in redundancy architecture of high-density oligonucleotide arrays. RESULTS: We employ parametric and nonparametric variants of two-way analysis of variance (ANOVA) on probe-level data to account for probe-level variation, and use the false-discovery rate (FDR) to account for simultaneous testing on thousands of genes (multiple testing problem). Using publicly available data sets, we systematically compared the performance of parametric two-way ANOVA and the nonparametric Mack-Skillings test to the t-test and Wilcoxon rank-sum test for detecting differentially expressed genes at varying levels of fold change, concentration, and sample size. Using receiver operating characteristic (ROC) curve comparisons, we observed that two-way methods with FDR control on sample sizes with 2-3 replicates exhibits the same high sensitivity and specificity as a t-test with FDR control on sample sizes with 6-9 replicates in detecting at least two-fold change. CONCLUSIONS: Our results suggest that the two-way ANOVA methods using probe-level data are substantially more powerful tests for detecting differential gene expression than corresponding methods for probe-set level data.

Analysis of Variance↗

PubMed2005

A novel transcriptome subtraction method for the detection of differentially expressed genes in highly complex eukaryotes.

We have designed a novel transcriptome subtraction method for the genome-scale analysis of differential gene expression in highly complex eukaryotes, in which suppression subtractive hybridization (SSH) is performed first to enrich the target and, after exchange of adapters, negative subtraction chain (NSC) is then used to eliminate the remaining background. NSC evolved from differential subtraction chain (DSC). We designed novel adapters which make the subtraction system more robust. SSH and NSC were then combined to successfully detect differentially expressed genes in Solanum. The combined technique improves qualitatively upon SSH, the only commercially available transcriptome subtraction system, by detecting target genes in the middle abundance class, to which most differentially expressed genes in highly complex eukaryotes are expected to belong. The main advantage of the combined technique with SSH/NSC is its ability to isolate differentially expressed genes quickly and cost-efficiently from non-standard models, for those microarrays are unavailable.

Gene Expression Profiling↗

PubMed2003

Expression analysis of subtractively enriched libraries (EASEL): a widely applicable approach to the identification of differentially expressed genes.

A variety of methods for high throughput analysis of differential gene expression has been developed over the past years. We have implemented the EASEL technique that adds flexibility, efficiency and wide-applicability to these methods. The EASEL procedure is unique as it integrates several well established techniques and thereby offers a combination of subtractive hybridization of 3' cDNA ends with macroarrays analysis and Serial Analysis of Gene Expression (SAGE). In addition, once a set of interesting, differentially expressed genes is identified, the material required for follow up studies to test the hypothesis that the gene is truly involved in the process of interest is readily available. In this report, we first present a step-by-step validation of the procedure, since several of the incorporated steps had to be tailored to meet specific requirements and implied drastic modifications of the original methods. Secondly, we applied EASEL to the identification of up-regulated gene products in the outflow tract region of the embryonic rat heart. Here we provide evidence that at least two among the differentially expressed genes detected, follistatin-like protein gene and membrane type 1-metallo proteinase gene, are selectively up-regulated in the outflow tract, suggesting their involvement in the development of this region during embryogenesis.

Animals↗

PubMed1999

A novel strategy for identifying differential gene expression: An improved method of differential display analysis.

We propose a novel alternative approach, an advanced method for recently developed strategies, for identifying differentially expressed genes. Firstly, double-stranded cDNAs were digested using Sau3AI and the 3'-end restriction fragments of the cDNA were ligated to a double-stranded adapter. Next, the restriction fragments were directly amplified using several combinations of adapter-specific primers and FITC-labeled oligo dT primers. The selected cDNA fragments were displayed on a polyacrylamide gel. Neither nested PCR nor purification of 3'-end fragments are necessary. We examined the validity of this approach by evaluating gene expression changes during granulocytic differentiation of HL-60 cells. This method can theoretically detect almost all gene expression changes more rapidly and through simpler manipulations than by any other approach.

Cell Differentiation↗

PubMed2001

The characterization of PPAR alpha ligand drug action in an in vivo model by comprehensive differential gene expression profiling.

Expression pharmacogenomics includes differential gene expression (DGE) profiling of drug responses in model systems to generate a set of differentially modulated drug-responsive genes which can serve as a surrogate measure for drug action. In this manner, expression pharmacogenomics bridges the fields of genomics and medicinal chemistry. Additionally, modulated genes can be organized into metabolic and signaling pathways that highlight the mechanism of drug activity in a selected tissue. Here, we describe the application of expression pharmacogenomics to characterize a drug response in the clinically relevant in vivo model, the Sprague-Dawley rat. Following oral dosing of rats with GW9578, a novel synthetic peroxisome proliferator activated receptor alpha (PPAR alpha) ligand indicated for lipid disorders, we applied GeneCalling, a differential mRNA transcript profiling technique, to rat liver cDNA. Following GW9578 treatment, 2.4% of the rat liver genes were differentially expressed. We confirmed the sequence identity of 50 distinctly modulated genes. DGE was observed among genes representative of at least six discrete metabolic pathways. Furthermore, we observed up-regulation of 20 genes involved in mitochondrial, peroxisomal and microsomal fatty acid oxidation, consistent with molecular biological and clinical data indicating PPAR alpha ligand principal efficacy to be through increasing fatty acid metabolism. Those pathways regulated in our study that are potentially contributory to target effect, non-target adverse effects, or of unknown consequence include xenobiotic detoxification and steroid modification. Finally, comprehensive drug response profiling can lead to the serendipitous discovery of novel disease indications. In this case, these results suggest a potential novel indication for GW9578 in the treatment of X-linked adrenoleukodystrophy. We have shown, therefore, that the organization of DGE results into metabolic and signaling pathways can elucidate mechanisms of pharmacologically desired (i.e., efficacious) and, where appropriate, undesired (i.e., potentially deleterious) effects.

Administration, Oral↗

PubMed1999

Differential gene expression in retina of myopic chicken eyes using mRNA differential display.

PURPOSE: To study differentially expressed genes in retina of experimental myopic chicken. METHODS: Experimental myopia in chicken was induced by form-deprivation. The mRNA in chicken retina was analyzed by using differential display. RESULTS: Experimental myopia was successfully induced in chicken through form-deprivation. Differentially expressed gene fragments were detected in retina of chicken with myopic development and recovery as compared with normal controls. CONCLUSION: The differential display of mRNA may be a useful way in cloning myopic-related genes.

Animals↗

PubMed2001

Differential gene expression during capillary morphogenesis in 3D collagen matrices: regulated expression of genes involved in basement membrane matrix assembly, cell cycle progression, cellular differentiation and G-protein signaling.

We have performed a screening analysis of differential gene expression using a defined in vitro model of human capillary tube formation. Gene array, differential display and cDNA library screening were used to identify both known and novel differentially expressed genes. Major findings include: the upregulation and functional importance of genes associated with basement membrane matrix assembly; the upregulation of growth factors, transcription factors, anti-apoptotic factors, markers of endothelial cell differentiation, JAK-STAT signalling molecules, adhesion receptors, proteinase inhibitors and actin regulatory proteins; and expression changes consistent with inhibition of cell cycle progression, increased cholesterol biosynthesis, decreased ubiquitin-proteasome mediated degradation, and activation of G-protein signaling pathways. Using DNA microarray analysis, the most induced genes at 8, 24 and 48 hours compared with those at 0 hours were jagged-1, stanniocalcin and angiopoietin-2, whereas the most repressed genes were connective tissue growth factor, fibulin-3 and RGS-5. In addition, the full length coding sequence of two novel regulated capillary morphogenesis genes (CMGs) are presented. CMG-1 encodes a predicted intracellular 65 kDa protein with coiled-coil domains. A CMG-1-green fluorescent protein (GFP) chimera was observed to target to an intracellular vesicular compartment. A second novel gene, CMG-2, was found to encode a predicted intracellular protein of 45 kDa containing a transmembrane segment and a CMG-2-GFP chimera was observed to target to the endoplasmic reticulum. A recombinant portion of CMG-2 was found to bind collagen type IV and laminin, suggesting a potential role in basement membrane matrix synthesis and assembly. These data further elucidate the genetic events regulating capillary tube formation in a 3D matrix environment.

Amino Acid Sequence↗

PubMed2006

Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression.

BACKGROUND: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level probe intensities, then deriving significance by comparing these expression levels between conditions. The proposed PL-LM (Probe-Level Linear Model) method implements a linear model applied on the probe-level data to directly estimate the treatment effect. A finite mixture of Gaussian components is then used to identify DEGs using the coefficients estimated by the linear model. This approach can readily be applied to experimental design with or without replication. RESULTS: On a wholly defined dataset, the PL-LM method was able to identify 75% of the differentially expressed genes within 10% of false positives. This accuracy was achieved both using the three replicates per conditions available in the dataset and using only one replicate per condition. CONCLUSION: The method achieves, on this dataset, a higher accuracy than the best set of tools identified by the authors of the dataset, and does so using only one replicate per condition.

Algorithms↗

PubMed2005

Differentially expressed genes in endothelial differentiation.

By screening differentially expressed genes in mouse embryonic stem (ES) cells by subtractive hybridization, we identified three conserved but uncharacterized genes encoding bromodomain containing 3 (BRD3), protein lysine methyltransferase (PLM), and kelch domain containing 2 (KLHDC2), which were downregulated during endothelial differentiation. An RNA blot study showed that these genes were markedly expressed in undifferentiated ES cells, whereas the expression was reduced upon endothelial differentiation; a study of mouse endothelium showed a significant reduction in the expression of BRD3. A study of human BRD3, located on chromosome 9 at q34, a region susceptible to genomic rearrangement, showed an altered expression in 4 of 12 patients with bladder cancer, compared with adjacent noncancerous tissues. Taken together with the result of siRNA inhibition showing the positive regulation of cell proliferation by BRD3, it is suggested that this molecule plays a role in allowing cells to enter the proliferative phase of the angiogenic process.

Animals↗

PubMed2000

Differential gene expression in mouse mammary adenocarcinomas in the presence and absence of wild type p53.

The tumor suppressor p53 transcriptionally regulates a large number of target genes that may affect cell growth and cell death pathways. To better understand the role of p53 loss in tumorigenesis, we have developed a mouse mammary cancer model, the Wnt-1 TG/p53 model. Wnt-1 transgenic females that are p53-/- develop mammary adenocarcinomas that arise sooner, grow faster, appear more anaplastic, and have higher levels of chromosomal instability than their Wnt-1 transgenic p53+/+ counterparts. In this study, we used several assays to determine whether the presence or absence of p53 affects gene expression patterns in the mammary adenocarcinomas. Most of the differentially expressed genes are increased in p53+/+ tumors and many of these represent known target genes of p53 (p21WAF/C1P1, cyclin G1, alpha smooth muscle actin, and cytokeratin 19). Some of these genes (cytokeratin 19, alpha smooth muscle actin, and kappa casein) represent mammary gland differentiation markers which may contribute to the inhibited tumor progression and are consistent with the more differentiated histopathology observed in the p53+/+ tumors. Several differentially expressed genes are growth regulatory in function (p21, c-kit, and cyclin B1) and their altered expression levels correlate well with the differing growth properties of the p53+/+ and p53-/- tumors. Thus, while tumors can arise and progress in the presence of functioning wild type p53, p53 may directly or indirectly regulate expression of an array of genes that facilitate differentiation and inhibit proliferation, contributing to a more differentiated, slow growing, and genomically stable phenotype.

Actins↗

PubMed2004

Indirect measurements of differential gene expression with cDNA microarrays.

The use of universal RNA reference sets is an increasingly common approach to molecular classification studies with cDNA microarrays. Here we evaluated the reliability of indirect measurements of fluorescence ratios with a common RNA reference as a means of identifying differentially expressed genes. Comparisons of direct and indirect measures of differential gene expression showed a strong overall correlation in fluorescence ratio measurements but also a high degree of false positives in our indirect measurements. These results indicated that the application of more stringent ratio filters may be required when assessing differential gene expression utilizing a common RNA reference in classification studies.

DNA, Complementary↗

PubMed2006

Histone acetylation is associated with differential gene expression in the rapid and robust memory CD8(+) T-cell response.

To understand the molecular basis for the rapid and robust memory T-cell responses, we examined gene expression and chromatin modification by histone H3 lysine 9 (H3K9) acetylation in resting and activated human naive and memory CD8(+) T cells. We found that, although overall gene expression patterns were similar, a number of genes are differentially expressed in either memory or naive cells in their resting and activated states. To further elucidate the basis for differential gene expression, we assessed the role of histone H3K9 acetylation in differential gene expression. Strikingly, higher H3K9 acetylation levels were detected in resting memory cells, prior to their activation, for those genes that were differentially expressed following activation, indicating that hyperacetylation of histone H3K9 may play a role in selective and rapid gene expression of memory CD8(+) T cells. Consistent with this model, we showed that inducing high levels of H3K9 acetylation resulted in an increased expression in naive cells of those genes that are normally expressed differentially in memory cells. Together, these findings suggest that differential gene expression mediated at least in part by histone H3K9 hyperacetylation may be responsible for the rapid and robust memory CD8(+) T-cell response.

Acetylation↗

PubMed2005

A robust statistical method for detecting differentially expressed genes.

DNA microarray technology allows researchers to monitor the expressions of thousands of genes under different conditions, and to measure the levels of thousands of different DNA molecules at a given point in the life of an organism, tissue or cell. A wide variety of different diseases that are characterised by unregulated gene expression, DNA replication, cell division and cell death, can be detected early using microarrays. One of the major objectives of microarray experiments is to identify differentially expressed genes under various conditions. The detection of differential gene expression under two different conditions is very important in biological studies, and allows us to identify experimental variables that affect different biological processes. Most of the tests available in the literature are based on the assumption of normal distribution. However, the assumption of normality may not be true in real-life data, particularly with respect to microarray data.A test is proposed for the identification of differentially expressed genes in replicated microarray experiments conducted under two different conditions. The proposed test does not assume the distribution of the parent population; thus, the proposed test is strictly nonparametric in nature. We calculate the p-value and the asymptotic power function of the proposed test statistic. The proposed test statistic is compared with some of its competitors under normal, gamma and exponential population setup using the Monte Carlo simulation technique. The application of the proposed test statistic is presented using microarray data. The proposed test is robust and highly efficient when populations are non-normal.

Journal Article↗

PubMed2002

[The use of gene expression differential display analysis technics in trauma research].

Gene is the regulation core of cell proliferation, differentiation and maturation. It is also the decisive factor of occurrence, progression and prognosis of many diseases. The changes in gene expression will inevitably lead to many kinds of abnormal in cells, tissue, organs even in whole biological organism. Trauma, as well as other stimulators, may bring a series complications through the abnormal expression of genes following injury. With the development of bioinformatics and molecular biology, a series of assays (so called gene expression differential display analysis technics, such as DNA microarray) have been established, which have been used to analyze differentially expressed genes effectively. These methods have been widely used in the research of tumor and other disease. This review will focus to some usage of the ways in traumatology.

Animals↗

PubMed2001

Improvement of RNA fingerprinting efficiency for the analysis of differential gene expression in human cardiac macro- and microvascular endothelial cells.

RNA fingerprinting by arbitrarily primed PCR (RAP-PCR) is a powerful tool to screen differential gene expression. However, PCR-based screening techniques show a high incidence of false positive results (40-90%). In order to increase the efficiency and feasibility of RAP-PCR, the original protocol was modified and applied to analyse differential gene expression in human coronary macro- (HCEC) and microvascular (HCMEC) endothelial cells. The major modifications introduced were: (i) the use of two primers for PCR amplification, instead of reverse-transcription primer alone; (ii) the use of three cycles at low stringency followed by further amplification at high stringency; (iii) optimization of amplification cycle number, template amount, and concentration of primers, dNTP, Mg(2+); (iv) detection of fingerprints by silver staining; and (v) direct sequencing using RAP-PCR primers. Analysis of untreated and TNF alpha -stimulated (100 U ml(-1)for 1, 4, and 24 h) HCEC and HCMEC displayed 11 differentially expressed products by 18 primer combinations. Confirmation of results by RT-PCR showed that the rate of false positives attributable to our screening method was less than 20%. Among detected RAP-PCR products, the expression of Mn-superoxide dismutase, A20 zinc finger protein, and three novel genes (A/a, 4/d, 7/c) was more strongly modulated by TNF in HCEC than HCMEC. A further novel gene (B/e) was strongly expressed in HCMEC while only barely detectable in HCEC. In conclusion, modification of RAP-PCR strongly reduced the incidence of false positives, eliminated a radioactive requirement, and allowed sequencing without prior cloning, supplying an improved technology able to identify new differentially expressed genes between macro- and microvascular endothelial cells.

Cells, Cultured↗

PubMed1998

Sp1 as a target site for metal-induced perturbations of transcriptional regulation of developmental brain gene expression.

Differential gene expression is partially regulated by zinc finger proteins (ZFP) such as Sp1, which may be potential targets for perturbations by environmental metals. In this paper, we discuss the selective effects of lead (Pb) and other heavy metals on the in vitro and in vivo DNA-binding of Sp1, and the developmental expression of its target genes. We have found that the presence of Pb, Zn and Cd in a DNA-binding assay differentially modulated the binding of Sp1 to its specific DNA sequence, while Ca, Mg and Ba, did not. In PC12 cells, cultured in the presence of low concentrations of Pb, a premature enhancement of Sp1 DNA-binding was observed. Similarly, Sp1 DNA-binding in the cerebellum of Pb-exposed animals was shifted to the first week after birth, while the developmental profile of a non-ZFP, NFkB, was not. Furthermore, selective premature peaks of myelin basic protein and proteolipid protein mRNA expression were observed to occur in a manner relative to the changes in Sp1 DNA-binding. Since these genes are high targets for Sp1, these data suggest that exposure to heavy metals may alter developmental gene expression and brain development through selective modulation of the transcriptional activity of Sp1.

Animals↗