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Results for “Gene Expression Profiling”

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PubMed2001

Organ-specific molecular classification of primary lung, colon, and ovarian adenocarcinomas using gene expression profiles.

Molecular classification of tumors based on their gene expression profiles promises to significantly refine diagnosis and management of cancer patients. The establishment of organ-specific gene expression patterns represents a crucial first step in the clinical application of the molecular approach. Here, we report on the gene expression profiles of 154 primary adenocarcinomas of the lung, colon, and ovary. Using high-density oligonucleotide arrays with 7129 gene probe sets, comprehensive gene expression profiles of 57 lung, 51 colon, and 46 ovary adenocarcinomas were generated and subjected to principle component analysis and to a cross-validated prediction analysis using nearest neighbor classification. These statistical analyses resulted in the classification of 152 of 154 of the adenocarcinomas in an organ-specific manner and identified genes expressed in a putative tissue-specific manner for each tumor type. Furthermore, two tumors were identified, one in the colon group and another in the ovarian group, that did not conform to their respective organ-specific cohorts. Investigation of these outlier tumors by immunohistochemical profiling revealed the ovarian tumor was consistent with a metastatic adenocarcinoma of colonic origin and the colonic tumor was a pleomorphic mesenchymal tumor, probably a leiomyosarcoma, rather than an epithelial tumor. Our results demonstrate the ability of gene expression profiles to classify tumors and suggest that determination of organ-specific gene expression profiles will play a significant role in a wide variety of clinical settings, including molecular diagnosis and classification.

Adenocarcinoma↗

PubMed2001

Expression domains in the skin of genes affected by the nude mutation and identified by gene expression profiling.

Although several genes affected by the nude mutation inactivating the transcription factor Whn have recently been identified, a comprehensive molecular analysis of the nude phenotype is still missing. Gene expression profiling of wildtype and nude mice back skin reveals several so far unknown differences in mRNA levels and demonstrates that microarray hybridization is ideal to identify even quantitative changes in expression. Some genes are upregulated in the absence of Whn. Most of the differentially expressed genes are downregulated in nude skin. Our results identify metallothionein IV among these genes. This is the first report on metallothionein IV expression in the murine hair follicle; its expression domain almost completely overlaps that of Whn.

Animals↗

PubMed2005

Mouse ovary developmental RNA and protein markers from gene expression profiling.

To identify genes involved in morphogenetic events during mouse ovary development, we started with microarray analyses of whole organ RNA. Transcripts for 60% of the 15,000 gene NIA panel were detected, and about 2000 were differentially expressed in nascent newborn compared to adult ovary. Highly differentially expressed transcripts included noncoding RNAs and newly detected genes involved in transcription regulation and signal transduction. The phased pattern of newborn mouse ovary differentiation allowed us to (1) extend information on activity and stage specificity of cell type-specific genes; and (2) generate a list of candidate genes involved in primordial follicle formation, including podocalyxin (Podxl), PDGFR-beta, and a follistatin-domain-encoding gene Flst1. Oocyte-specific transcripts included many (e.g., Deltex2, Bicd2, and Zfp37) enriched in growing oocytes, as well as a novel family of untranslated RNA's (RLTR10) that is selectively expressed in early stage follicles. The results indicate that global expression profiling of whole organ RNA provides sensitive first-line information about ovarian histogenesis for which no in vitro cell models are currently available.

Animals↗

PubMed2005

Gene expression profiling and phenotype analyses of S. cerevisiae in response to changing copper reveals six genes with new roles in copper and iron metabolism.

Exhaustive microarray time course analyses of Saccharomyces cerevisiae during copper starvation and copper excess reveal new aspects of metal-induced gene regulation. Aside from identifying targets of established copper- and iron-responsive transcription factors, we find that genes encoding mitochondrial proteins are downregulated and that copper-independent iron transport genes are preferentially upregulated, both during prolonged copper deprivation. The experiments also suggest the presence of a small regulatory iron pool that links copper and iron responses. One hundred twenty-eight genes with putative roles in metal metabolism were further investigated by several systematic phenotype screens. Of the novel phenotypes uncovered, hsp12-Delta and arn1-Delta display increased sensitivity to copper, cyc1-Delta and crr1-Delta show resistance to high copper, vma13-Delta exhibits increased sensitivity to iron deprivation, and pep12-Delta results in reduced growth in high copper and low iron. Besides revealing new components of eukaryotic metal trafficking pathways, the results underscore the previously determined intimate links between iron and copper metabolism and mitochondrial and vacuolar function in metal trafficking. The analyses further suggest that copper starvation can specifically lead to downregulation of respiratory function to preserve iron and copper for other cellular processes.

Amino Acid Motifs↗

PubMed2006

Pharmacologic inhibition of epigenetic modifications, coupled with gene expression profiling, reveals novel targets of aberrant DNA methylation and histone deacetylation in lung cancer.

Lung cancer is the leading cause of cancer-related deaths in the United States due, in large part, to the lack of early detection methods. Lung cancer arises from a complex series of genetic and epigenetic changes leading to uncontrolled cell growth and metastasis. Unlike genetic changes, epigenetic changes, such as DNA methylation and histone acetylation, are reversible with currently available pharmaceuticals and are early events in lung tumorigenesis detectable by non-invasive methods. In order to better understand how epigenetic changes contribute to lung cancer, and to identify new disease biomarkers, we combined pharmacologic inhibition of DNA methylation and histone deacetylation in non-small cell lung cancer (NSCLC) cell lines, with genome-wide expression profiling. Of the more than 200 genes upregulated by these treatments, three of these, neuronatin, metallothionein 3 and cystatin E/M, were frequently hypermethylated and transcriptionally downregulated in NSCLC cell lines and tumors. Interestingly, four other genes, cylindromatosis, CD9, activating transcription factor 3 and oxytocin receptor, were dominantly regulated by histone deacetylation and were also frequently downregulated in lung tumors. The majority of these genes also suppressed NSCLC growth in culture when ectopically expressed. This study therefore reveals new putative NSCLC growth regulatory genes and epigenetic disease biomarkers that may enhance early detection strategies and serve as therapeutic targets.

Acetylation↗

PubMed2002

[Investigation of the gene expression profile in spermatocytes].

OBJECTIVE: To investigate the gene expression profile in the mature spermatocytes and the molecular mechanism of the male infertility syndromes. METHODS: Restriction display PCR (RD-PCR), a new method of differential display technique, was used to collect plenty of gene fragments expressed in either normal or abnormal spermatocytes, the gene expression profile of which were demonstrated by these fragments(gene expression sequence tags, ESTs), in the form of cDNA fragments length polymorphism. These ESTs will be used to make DNA microarray as probes to further explore the gene expression profile in spermatocytes and to diagnose the male infertility. RESULTS: Lots of ESTs were expressed in either normal or abnormal spermatocytes and some differentially expressed ESTs have been collected and purified. CONCLUSION: Either for known or unknown genes, RD-PCR is very effective in rapid acquisition of large amount of ESTs with proper and similar length fit for making microarray as the probes.

Gene Expression Profiling↗

PubMed2003

Gene expression profiling of multiple histone deacetylase (HDAC) inhibitors: defining a common gene set produced by HDAC inhibition in T24 and MDA carcinoma cell lines.

Acetylation of histones in chromatin is one mechanism involved in the regulation of gene transcription and is tightly controlled by the balance of acetyltransferase and deacetylase (HDAC) activities. In cancer, some genes are repressed by the inappropriate recruitment of HDACs, e.g., tumor suppressor genes. To understand the genomic effects of HDAC inhibition on gene transcription we studied the gene expression profiles of T24 bladder and MDA breast carcinoma cells treated with three HDAC inhibitors, suberoylanilide hydroxamic acid, trichostatin A, and MS-27-275. The gene expression profiles of the HDAC inhibitors were generally similar to one another and differed substantially from those produced by structurally related inactive analogues; consequently, the changes in gene expression are mechanism-based. Hierarchical clustering of expression profiles demonstrated a greater similarity between the two hydroxamate-containing inhibitors (suberoylanilide hydroxamic acid and trichostatin A) than with MS-27-275. This difference was also supported by cell phenotypic experiments. As many genes were down-regulated as up-regulated by HDAC inhibitor treatment. Comparison of the data sets defined a common ("core") set of 13 genes regulated by all of the HDAC inhibitors in three cell lines, 8 up-regulated and 5 down-regulated. Ten of 13 genes were confirmed in dose response studies in T24 cells by quantitative-PCR. The core regulated genes are involved predominantly in cell cycle/apoptosis and DNA synthesis in response to HDAC inhibitors. These data will aide in understanding the complex set of events in cells in response to chromatin remodeling induced by HDAC inhibition, which may be responsible for antitumor effects.

Benzamides↗

PubMed2001

Gene expression profiling of clear cell renal cell carcinoma: gene identification and prognostic classification.

To better understand the molecular mechanisms that underlie the tumorigenesis and progression of clear cell renal cell carcinoma (ccRCC), we studied the gene expression profiles of 29 ccRCC tumors obtained from patients with diverse clinical outcomes by using 21,632 cDNA microarrays. We identified gene expression alterations that were both common to most of the ccRCC studied and unique to clinical subsets. There was a significant distinction in gene expression profile between patients with a relatively nonaggressive form of the disease [100% survival after 5 years with the majority (15/17 or 88%) having no clinical evidence of metastasis] versus patients with a relatively aggressive form of the disease (average survival time 25.4 months with a 0% 5-year survival rate). Approximately 40 genes most accurately make this distinction, some of which have previously been implicated in tumorigenesis and metastasis. To test the robustness and potential clinical usefulness of this molecular distinction, we simulated its use as a prognostic tool in the clinical setting. In 96% of the ccRCC cases tested, the prediction was compatible with the clinical outcome, exceeding the accuracy of prediction by staging. These results suggest that two molecularly distinct forms of ccRCC exist and that the integration of expression profile data with clinical parameters could serve to enhance the diagnosis and prognosis of ccRCC. Moreover, the identified genes provide insight into the molecular mechanisms of aggressive ccRCC and suggest intervention strategies.

Adenocarcinoma, Clear Cell↗

PubMed2004

Gene expression profiles of mouse aorta and cultured vascular smooth muscle cells differ widely, yet show common responses to dioxin exposure.

Exposure to environmental toxicants may play a role in the onset and progression of cardiovascular disease. Many environmental agents, such as dioxin, are risk factors for atherosclerosis because they may exacerbate an underlying disease by altering gene expression patterns. Expression profiling of vascular tissues allows the simultaneous analysis of thousands of genes and may provide predictive information particularly useful in early disease stages. Often, however, in vivo experiments are unfeasible for material or ethical reasons, and data from cultured cells must be used instead, even though it may not be known whether cultured cells and live tissues share common global responses to the same toxicant. In a search for genes responsive to dioxin exposure, we used oligonucleotide microarrays with DNA sequences from 13,433 genes to compare global gene expression profiles of C57BL/6 mice aortas with cultured vascular smooth muscle cells (vSMCs) of the same mice. Aorta segments and vSMCs differed in the expression of more than 4500 genes, many showing expression differences greater than 1000-fold. Integration of microarray data into Gene Ontology Project annotations showed that many of the genes differentially expressed belonged to the same biological process or metabolic pathway. Notwithstanding these results, a subset of 35 genes responded in the same fashion to dioxin exposure in both systems. Genes in this subset encoded phase I and phase II detoxification enzymes, signal transduction kinases and phosphatases, and proteins involved in DNA repair and the cell cycle. We conclude that vSMCS may be useful aorta surrogates to study early gene expression responses to dioxin exposure, provided that analyses focus on this subset of genes.

Animals↗

PubMed2003

Gene expression profile of aging in human muscle.

Studies of gene expression related to aging of skeletal muscle have included few subjects or a limited number of genes. We conducted the present study to produce more comprehensive gene expression profiles. RNA was extracted from vastus lateralis biopsies obtained from healthy young (21-27 yr old, n = 8) and older men (67-75 yr old, n = 8) and was analyzed with high-density oligonucleotide arrays. Of the approximately 44,000 probe sets on the arrays, approximately 18,000 yielded adequate signals for statistical analysis. There were approximately 700 probe sets for which t-tests or rank sum tests indicated a difference (P <or= 0.01) in mean expression between young and old and for which the estimated false discovery rate was <10%. Most of these differences were less than 1.5-fold in magnitude. Genes that encode proteins involved in energy metabolism and mitochondrial protein synthesis were expressed at a lower level in older muscle. Genes encoding metallothioneins, high-mobility-group proteins, heterogeneous nuclear ribonucleoproteins and other RNA binding/processing proteins, and components of the ubiquitin-proteasome proteolytic pathway were expressed at higher levels in older muscle. Expression of numerous genes involved with stress responses, hormone/cytokine/growth factor signaling, control of the cell cycle and apoptosis, and transcriptional regulation appeared to be affected by aging. More transcripts were detected in older muscle, suggesting dedifferentiation, an increased number of splice variants, or increased cellular heterogeneity. We conclude that in human skeletal muscle the expression of many genes tends to increase or decrease between the third and seventh decades. The changes are modest when averaged over all of the cells in the tissue.

Adult↗

PubMed2002

Gene expression profiling in silico: relative expression of candidate angiogenesis associated genes in renal cell carcinomas.

Recent advances in gene expression profiling have led to the development of comprehensive databases which can be queried in various manners. In the present report, we have taken a list of genes previously associated with angiogenesis, either in in vivo or in in vitro models, and queried a commercial database established by GeneLogic to determine the relative expression of these candidate genes in normal kidneys and in renal cell carcinomas (RCC). We identified a number of genes, including CXCR4, matrix metalloproteinase 9, thrombospondin 2, and vascular endothelial growth factor, that were highly expressed in RCC versus normal tissue. One gene, hevin, appears to be selectively upregulated in RCC in contrast to downregulation of this gene in lung and colon tumors. This approach provides a powerful means to identify potential markers of tumor vascularization.

Carcinoma, Renal Cell↗

PubMed2005

Cerebral gene expression profiles in sporadic Creutzfeldt-Jakob disease.

The pathomechanism of sporadic Creutzfeldt-Jakob disease (sCJD) in the central nervous system is insufficiently understood. The aims of this study were to identify differentially regulated genes in the frontal cortex of sCJD and to profile the gene expression patterns in sCJD by using Affymetrix HGU133A microarrays (Affymetrix, Santa Clara, CA). The microarray data were generated by dChip and analyzed by Significance Analysis of Microarray (SAM) software. A comparison between control and sCJD samples identified 79 upregulated and 275 downregulated genes, which showed at least 1.5- and 2-fold changes, respectively, in sCJD frontal cortex, with an estimated false discovery rate of 5% or less. The major alterations in sCJD brains included upregulation of the genes encoding immune and stress-response factors and elements involved in cell death and cell cycle, as well as prominent downregulation of genes encoding synaptic proteins. A comparison of the molecular subtypes of sCJD showed various expression patterns associated with particular subtypes. The range of the upregulated genes and the degree of the increased expression appeared to be correlated with the degree of the neuropathological alterations in particular subtypes. Conspicuously, sCJD brains showed a great similarity with ageing human brains, both in the global expression patterns and in the identified differentially expressed genes.

Aged↗

PubMed2006

Gene expression profiles of CD34+ cells in myelodysplastic syndromes: involvement of interferon-stimulated genes and correlation to FAB subtype and karyotype.

To gain insight into the poorly understood pathophysiology of the myelodysplastic syndromes (MDSs), we have determined the gene expression profiles of the CD34+ cells of 55 patients with MDS by using a comprehensive array platform. These profiles showed many similarities to reported interferon-gamma-induced gene expression in normal CD34+ cells; indeed the 2 most up-regulated genes, IFIT1 and IFITM1, are interferon-stimulated genes (ISGs). Alterations in the expression of ISGs may play a role in the hematologic features of MDS, such as peripheral blood cytopenias. Up-regulation of IFIT1 is a potential diagnostic marker for MDS. We determined whether distinct gene expression profiles were associated with specific FAB and cytogenetic groups. CD34+ cells from patients with refractory anemia with ringed sideroblasts (RARS) showed a particular gene expression profile characterized by up-regulation of mitochondrial-related genes and, in particular, of those of heme synthesis (eg, ALAS2). CD34+ cells from patients with the del(5q) had a distinct gene expression profile, characterized by down-regulation of genes assigned to 5q, and up-regulation of the histone HIST1 gene cluster at chromosome 6p21 and of genes related to the actin cytoskeleton. This study provides important and new insights into the pathophysiology of MDS.

Adaptor Proteins, Signal Transducing↗

PubMed2004

Monitoring therapy with gene expression profiling reveals physiological differences in drug action.

Gene expression profiling has become a versatile tool for biomedical research, which allows the assessment of a wide variety of basic questions in cellular regulation, in particular when a large number of molecular parameters have changed. There are various applications in drug research for which gene expression profiling is a very suitable approach. This includes: target identification, target validation, validation of drug specificity and monitoring of drug action during therapy. The focus of this article is the therapy monitoring and the interpretation of the gene expression profiles in respect to physiological differences of drug action. As an example, we will discuss changes in gene expression in blood samples from CML patients treated with the tyrosine kinase inhibitor (imatinib mesylate) and compare the observed effects on gene expression with the effects of IFNalpha treatment. In comparison with other examples of therapy monitoring the potential of this application of gene expression profiling for optimizing individual therapy will be discussed.

Animals↗

PubMed2007

Gene expression profiling of liver cells after copper overload in vivo and in vitro reveals new copper-regulated genes.

Copper toxicity in the liver is mediated by free-radical generation, resulting in oxidative stress. To prevent toxic accumulation of copper, liver cells adapt to high copper levels. Here, we used microarray analysis to compare the adaptive responses on global gene expression in liver cells exposed to high copper levels in vitro and in vivo. In HepG2 cells we identified two clusters of upregulated genes over time, an "early" cluster that comprised metallothionein genes and a "late" cluster, highly enriched in genes involved in proteasomal degradation and in oxidative stress response. Concomitant with the "late" cluster, we detected a significant downregulation of several copper metabolism MURR1 domain (COMMD) genes that were recently implicated in copper metabolism and inhibition of nuclear transcription factor kappaB (NF-kappaB) signaling. As metal-induced oxidative stress increases NF-kappaB activity, our data suggest a role for reduced COMMD protein levels in prolonged activation of NF-kappaB, thus inducing cell survival. Mice exposed to a copper diet that highly exceeded normal daily intake accumulated only twofold more hepatic copper than control mice. Although a moderate, but significant upregulation of a set of 22 genes involved in immunity, iron and cholesterol metabolism was detected, these cannot account for direct mechanisms involved in copper excretion. In conclusion, we identified a novel set of genes that represent a delayed response to copper overload, thus providing insight into the adaptive transcriptional response to copper-induced oxidative stress.

Adaptor Proteins, Signal Transducing↗

PubMed2005

Altered gene expression profiles by sodium/iodide symporter gene transfection in a human anaplastic thyroid carcinoma cell line using a radioactive complementary DNA microarray.

BACKGROUND: The sodium/iodide symporter (NIS) is a membrane glycoprotein that mediates active 131I uptake during the treatment of cancer of the thyroid gland and extrathyroidal tissues. NIS gene transfection, a gene-therapy modality, has been introduced in many types of cancer, such as prostate cancer and breast cancer, and has demonstrated a high potential for the treatment of non-thyroidal cancers. AIM: To investigate the pattern of NIS gene expression and provide evidence of its beneficial effects in human anaplastic cancer ARO cells by using a radioactive complementary DNA (cDNA) microarray. METHODS: For cDNA microarray data analysis, superimposed images and clustergrams were prepared from basic radioactivity data obtained using a phosphoimager system. Gene expression profiles were constructed using the Z-transformed values of genes related to cancer biology. RESULTS: Radioactive cDNA microarray studies showed that 11 genes were upregulated (Z ratio > 1.5) and 31 genes were downregulated (Z ratio < -1.5) in response to NIS gene transfection. Of these differentially expressed genes, 33% were related to cell proliferation and apoptosis. Moreover, NIS gene transfection into an anaplastic thyroid cancer cell line affected the expression of the protein tyrosine phosphatase (PTP) family and Ras oncogene family, including Ras, Rac and Rab. CONCLUSION: The identification of changes in the patterns of gene expression may provide a better understanding of the response of molecular mechanisms to NIS gene transfection.

Carcinoma↗

PubMed2006

[Gene expression profiling for prediction of response to chemotherapy].

Numerous genes whose expression is controlled by complex regulatory networks are involved in the development and progression of each cancer,and those genes will be the key factors for determining each characteristic of the tumor. The recent development of DNA microarray and related technologies provides an opportunity to perform more detailed characterization( profiling) of individual tumor cells. Indeed, the gene expression profile of a tumor provides a unique molecular portrait or signature that can be correlated with clinical behavior and drug responsiveness. The development of personalized( or customized) medicine and molecularly targeted drugs is enthusiastically awaited based on the results of research examining genomic diversity such as SNPs( single nucleotide polymorphisms), gene expression profiling with DNA microarrays, and analysis of protein expression and interactions.

Antineoplastic Agents↗

PubMed2006

Use of gene expression profiling to identify a novel glucocorticoid sensitivity determining gene, BMPRII.

Wide variation in glucocorticoid (Gc) sensitivity exists between individuals which may influence susceptibility to, and treatment response of, inflammatory diseases. To determine a genetic fingerprint of Gc sensitivity 100 healthy human volunteers were polarized into the 10% most Gc-sensitive and 10% most Gc-resistant following a low dose dexamethasone (0.25 mg) suppression test. Gene expression profiling of primary lymphocytes identified the 98 most significantly Gc regulated genes. These genes were used to build a subnetwork of Gc signaling, with 54 genes mapping as nodes, and 6 non-Gc regulated genes inferred as signaling nodes. Twenty four of the 98 genes showed a difference in Gc response in vitro dependent on the Gc sensitivity of their donor individuals in vivo. A predictive model was built using both partial least squares discriminate analysis and support vector machines that predicted donor glucocorticoid sensitivity with 87% accuracy. Discriminating genes included bone morphogenetic protein receptor, type II (BMPRII). Transfection studies showed that BMPRII modulated Gc action. These studies reveal a broad base of gene expression that predicts Gc sensitivity and determine a Gc signaling network in human primary T lymphocytes. Furthermore, this combined gene profiling, and functional analysis approach has identified BMPRII as a modulator of Gc signaling.

Adult↗