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Results for “expression profiling”

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PubMed2006

Gene expression profile of primary gastric cancer: towards the prediction of lymph node status.

BACKGROUND: The identification of gastric tumors associated with a higher risk of lymph node metastasis could help surgeons select patients who may benefit from extended lymph node dissection. The aim of this study was to screen the genome in the search of primary gastric cancer gene expression profiles that might predict lymph node status. METHODS: The gene expression profile was evaluated in frozen tumor samples obtained from 32 patients with primary gastric adenocarcinomas. The array consisted of a duplicated spot panel of 5,541 human genes. To classify node-positive (N+) and node-negative (N-) cases, a logistic regression model was fitted optimizing the Akaike Information Criteria after a stepwise gene selection. The accuracy was evaluated by means of leave-one-out cross validation. RESULTS: All patients underwent radical gastrectomy and extended lymphadenectomy. Of all the cases, 21 were N+ and 11 demonstrated no lymph node involvement (N-). After quality filtering, the analysis of variance selected a set of 136 genes potentially correlated with nodal involvement (P value <.05). Of these 136 genes, 5 were differentially expressed (adjusted P value <.05). After a stepwise gene selection, only three genes (Bik, aurora kinase B, eIF5A2) were retained in the logistic model, which could correctly predict lymph node status in 30 of 32 cases. CONCLUSIONS: If our findings were confirmed, the identified gene pattern might be used to tailor the extent of lymph node dissection on a single patient basis.

Biomarkers, Tumor↗

PubMed2001

Gene expression profile of ARPE-19 during repair of the monolayer.

BACKGROUND: The purpose of this study was to identify the profile of gene expression during retinal pigment epithelial (RPE) wound repair. METHODS: ARPE-19 cells derived from a human RPE cell line were grown for 4 weeks and injured by creating multiple concentric wounds. Unwounded cultures served as controls. During the proliferative phase of wound repair, total RNA was extracted from control and wounded cultures, and a [32P]dATP-labeled cDNA probe was synthesized and hybridized to Atlas Arrays (Clontech, Palo Alto, Calif.) containing 588 cDNAs. The autoradiograms obtained were then analyzed using the Molecular Dynamics software program. Semiquantitative PCR was carried out to confirm up-regulation of four genes associated with wound repair. ELISA was performed to quantitate the secreted MCP-1. RESULTS: In wounded cultures prominent up-regulation (greater than fivefold) was seen for genes encoding DNA synthesis and DNA repair proteins. A greater than threefold increase was seen for genes encoding mitogen-activated protein kinase, CD44, MCP-1 (monocyte chemotactic protein), thymosin beta-10, and HDGF (hepatoma-derived growth factor), among others. Genes encoding tumor suppressors were downregulated three- to five-fold in the wounded compared with the unwounded cultures. Semiquantitative PCR confirmed up-regulation of transcripts for thymosin beta-10, HDGF, CD44, and MCP-1. ELISA showed a 20% increase in secreted MCP-1. CONCLUSIONS: Gene array analysis revealed a differentiation program that included increased expression of genes involved in wound repair (adhesion molecules, cytokines, signal transducers), along with increased MCP-1 secretion. The RPE may be an early participant in the inflammatory response that occurs with proliferative vitreoretinopathy.

Cells, Cultured↗

PubMed2005

Gene expression profiling in a model of D-penicillamine-induced autoimmunity in the Brown Norway rat: predictive value of early signs of danger.

Idiosyncratic drug reactions (IDRs) cause significant morbidity and mortality. In an animal model of IDRs, 50-80% of Brown Norway rats exposed to D-penicillamine develop an autoimmune syndrome after several weeks of treatment. The symptoms of the IDR are similar to that observed in humans who take D-penicillamine. The mechanism of this reaction is unknown, and no effective biomarkers have been identified to predict susceptibility. We postulate that cell stress caused by drugs is required to initiate the response. We used a high-throughput approach to identify factors that might represent danger signals by profiling hepatic gene expression 6 h after dosing with D-penicillamine (150 mg/kg). Our results show that the drug-treated animals cluster into two distinct groups. One group exhibits substantial expression changes relative to control animals. The most significantly altered transcripts have a role in stress, energy metabolism, acute phase response, and inflammation. We used quantitative reverse transcriptase polymerase chain reaction to measure transcript levels in liver biopsies of 33 rats and found that resistant animals cluster together. This "resistant" cluster of animals contains 87.5% (7/8) resistant animals but only 48% (12/25) "sensitive" animals. This separation is statistically significant at the p = 0.01 level.

Animals↗

PubMed2005

Identification of molecular mechanisms for cellular drug resistance by combining drug activity and gene expression profiles.

Acquired drug resistance is a major problem in cancer treatment. To explore the genes involved in chemosensitivity and resistance, 10 human tumour cell lines, including parental cells and resistant subtypes selected for resistance against doxorubicin, melphalan, teniposide and vincristine, were profiled for mRNA expression of 7400 genes using cDNA microarray technology. The drug activity of 66 cancer agents was evaluated on the cell lines, and correlations between drug activity and gene expression were calculated and ranked. Hierarchical clustering of drugs based on their drug-gene correlations yielded clusters of drugs with similar mechanism of action. Genes correlated with drug sensitivity and resistance were imported into the PathwayAssist software to identify putative molecular pathways involved. A substantial number of both proapoptotic and antiapoptotic genes such as signal transducer and activator of transcription 1, mitogen-activated protein kinase 1 and focal adhesion kinase were found to be associated to drug resistance, whereas genes linked to cell cycle control and proliferation, such as cell division cycle 25A and signal transducer of activator of transcription 5A, were associated to general drug sensitivity. The results indicate that combined information from drug activity and gene expression in a resistance-based cell line panel may provide new knowledge of the genes involved in anticancer drug resistance and become a useful tool in drug development.

Antineoplastic Agents↗

PubMed2004

Adipose differentiation-related protein and regulators of lipid homeostasis identified by gene expression profiling in the murine db/db diabetic kidney.

We investigated the molecular basis of progressive diabetic renal injury in db/db mice by profiling kidney gene expression. Using high-density microarrays, we identified 482 RNA transcripts differentially expressed in 8-wk db/db vs. nondiabetic db/m kidneys, a time characterized by hyperglycemia but by little renal histopathology. By 16 wk significant mesangial expansion had developed. Sixteen-week db/db kidneys differentially expressed 639 RNA transcripts. Diabetic kidneys specifically expressed several genes normally found in adipocytes, including adipocyte differentiation-regulated protein (ADRP; or adipophilin in humans). ADRP mRNA was specifically upregulated 5.4-fold in 16-wk db/db kidneys. This finding was confirmed at the protein level by Western blotting, and immunohistochemistry localized ADRP diffusely to tubular epithelium throughout the cortex. ADRP is a perilipin family protein that forms lipid storage vesicles and controls triglyceride utilization; we showed that accumulation of lipid storage droplets correlated with the magnitude and localization of ADRP in db/db kidneys. Other genes involved in lipid transport, oxidation, and storage were differentially regulated in db/db kidneys, and peroxisome proliferator-activated receptor-alpha (PPAR alpha) has been shown to regulate their expression in adipocytes. In our experiments, PPAR alpha mRNA was elevated in db/db diabetic kidneys, and PPAR alpha protein was upregulated in glomeruli, cortical tubules, and renal arterial vessels of db/db mice. In conclusion, these studies furnish new RNA-based data for mechanistic investigation into renal injury in the diabetic kidney and identify a switch of kidney phenotype in favor of lipid accumulation in diabetic kidney.

Animals↗

PubMed2000

Expression profiling in reference bacteria: dreams and reality.

Profiling of gene expression in bacteria is now being used to uncover unknown genes expressed in particular genetic backgrounds or environmental conditions. Obtaining the best possible information from the expected avalanche of such experiments will require standardization of both experimental approach and statistical analysis. The first such experiments reveal challenges, pitfalls and reasonable solutions.

Bacillus subtilis↗

PubMed2003

Gene expression profiling of endocrine tumors using DNA microarrays: progress and promise.

Genomewide profiling of gene expression, made possible by the development of DNA microarray technology and more powerful by the sequencing of the human genome, has led to advances in tumor classification and biomarker discovery for the common types of human neoplasia. Application of this approach to the field of endocrine neoplasia is in its infancy, although some progress has been recently reported. In this review, the progress to date is summarized and the promise of DNA microarray analysis in conjunction with tissue array immunohistochemistry to significantly impact endocrine tumor diagnosis and prognosis is discussed.

DNA, Neoplasm↗

PubMed2000

Toward a molecular classification of the gliomas: histopathology, molecular genetics, and gene expression profiling.

As many as 100,000 new cases of brain tumor are diagnosed each year in the United States. About half of these are primary gliomas and the remaining half are metastatic tumors and non-glial primary tumors. Currently, gliomas are classified based on phenotypic characteristics. Recent progress in the elucidation of genetic alterations found in gliomas have raised the exciting possibility of using genetic and molecular analyses to resolve some of the problematic issues currently associated with the histological approach to glioma classification. Recently, immunohistochemical studies using novel proliferation markers have significantly advanced the assessment of tumor growth potential and the grading criteria of some tumor subtypes. Preliminary studies using cDNA array technologies suggest that the profiling of gene expression patterns may provide a novel and meaningful approach to glioma classification and subclassification. Furthermore, cDNA array technologies may also be used to identify candidate genes involved in glioma tumor development, invasion, and progression. This review summarizes current glioma classification schemes that are based on histopathological characteristics and discusses the potential for using cDNA array technology in the molecular classification of gliomas.

Brain Neoplasms↗

PubMed2005

Protein tyrosine-phosphatase expression profiling in gastric cancer tissues.

Protein phosphorylation is an important regulatory mechanism involved in signal transduction and cancers. In comparison to the extensive tyrosine-kinase oncogenesis research, there are only relatively few studies of protein tyrosine-phosphatase expression in cancers. The expression profile for tyrosine-phosphatases was investigated in gastric cancers using RT-PCR and molecular cloning. The present study showed a general PTP expression profile in gastric cancer tissues, with the identification of 22 distinct tyrosine-phosphatases. Following the examination of five PTPs (PTPRA, PTPRB, PTPRD, PTPRG and PTPRZ) using immunohistochemistry, strong association was observed between PTPRA/PTPRZ expression and gastric cancer progression including lymphovascular invasion and liver/peritoneal dissemination.

Aged↗

PubMed2003

Bacterial LPS and CpG DNA differentially induce gene expression profiles in mouse macrophages.

Bacterial DNA containing unmethylated CpG dinucleotides (CpG DNA) is a potent immune stimulating agent that holds strong promise in the treatment of many disorders. Studies have established that CpG DNA triggers an immune response through activated expression of genes in immune cells including macrophages. To dissect further the molecular mechanism(s) by which CpG DNA activates the immune system, we studied macrophage gene expression profiles in response to CpG DNA using microarray technology. Since CpG DNA is reported to use the TLR9 receptor that shares homology with the TLR4 receptor used by bacterial lipopolysaccharide (LPS), we also evaluated gene expression profiles in macrophages stimulated by LPS versus CpG DNA. Both CpG DNA and LPS modulate expression of a large array of genes. However, LPS modulated the expression of a much greater number of genes than did CpG DNA and all genes induced or repressed by CpG DNA were also induced or repressed by LPS. These data indicate that the CpG DNA signaling pathway through TLR9 activates only a subset of genes induced by the LPS TLR4 signaling pathway.

Animals↗

PubMed2002

Preliminary study of DNA microarray of human placenta gene expression profile.

OBJECTIVE: To prepare human placenta genechip for analyzing differential gene expressions. METHODS: The target gene amplified from Hybrid Hunter cDNA library was dotted onto the slides by the arrayer (PixSys 5500). Total RNA from K562 cells treated with or without arsenic trioxide was extracted, the mRNA purified and cDNA synthesized. Fluorescent labeling of the samples was performed by restriction display PCR, followed by hybridization with the microarray that was subsequently washed and scanned, with the derived signals analyzed by computer. RESULTS: A reliable and specific method for preparing and assessing gene expression profile microarray was established, with which a total of 45 differentially expressed gene fragments were isolated. CONCLUSION: The genechips can be helpful in the analysis of differential gene expressions.

Female↗

PubMed2004

Molecular features of the transition from prostatic intraepithelial neoplasia (PIN) to prostate cancer: genome-wide gene-expression profiles of prostate cancers and PINs.

To characterize the molecular feature in prostate carcinogenesis and the putative transition from prostatic intraepithelial neoplasia (PIN) to invasive prostate cancer (PC), we analyzed gene-expression profiles of 20 PCs and 10 high-grade PINs with a cDNA microarray representing 23,040 genes. Considering the histological heterogeneity of PCs and the minimal nature of PIN lesions, we applied laser microbeam microdissection to purify populations of PC and PIN cells, and then compared their expression profiles with those of corresponding normal prostatic epithelium also purified by laser microbeam microdissection. A hierarchical clustering analysis separated the PC group from the PIN group, except for three tumors that were morphologically defined as one very-high-grade PIN and two low-grade PCs, suggesting that PINs and PCs share some molecular features and supporting the hypothesis of PIN-to-PC transition. On the basis of this hypothesis, we identified 21 up-regulated genes and 63 down-regulated genes commonly in PINs and PCs compared with normal epithelium, which were considered to be involved in the presumably early stage of prostatic carcinogenesis. They included AMACR, OR51E2, RODH, and SMS. Furthermore, we identified 41 up-regulated genes and 98 down-regulated genes in the transition from PINs to PCs; those altered genes, such as POV1, CDKN2C, EPHA4, APOD, FASN, ITGB2, LAMB2, PLAU, and TIMP1, included elements that are likely to be involved in cell adhesion or the motility of invasive PC cells. The down-regulation of EPHA4 by small interfering RNA in PC cells lead to attenuation of PC cell viability. These data provide clues to the molecular mechanisms underlying prostatic carcinogenesis, and suggest candidate genes the products of which might serve as molecular targets for the prevention and treatment of PC.

Cell Division↗

PubMed2007

Gene expression profiling reveals a massive, aneuploidy-dependent transcriptional deregulation and distinct differences between lymph node-negative and lymph node-positive colon carcinomas.

To characterize patterns of global transcriptional deregulation in primary colon carcinomas, we did gene expression profiling of 73 tumors [Unio Internationale Contra Cancrum stage II (n = 33) and stage III (n = 40)] using oligonucleotide microarrays. For 30 of the tumors, expression profiles were compared with those from matched normal mucosa samples. We identified a set of 1,950 genes with highly significant deregulation between tumors and mucosa samples (P < 1e-7). A significant proportion of these genes mapped to chromosome 20 (P = 0.01). Seventeen genes had a >5-fold average expression difference between normal colon mucosa and carcinomas, including up-regulation of MYC and of HMGA1, a putative oncogene. Furthermore, we identified 68 genes that were significantly differentially expressed between lymph node-negative and lymph node-positive tumors (P < 0.001), the functional annotation of which revealed a preponderance of genes that play a role in cellular immune response and surveillance. The microarray-derived gene expression levels of 20 deregulated genes were validated using quantitative real-time reverse transcription-PCR in >40 tumor and normal mucosa samples with good concordance between the techniques. Finally, we established a relationship between specific genomic imbalances, which were mapped for 32 of the analyzed colon tumors by comparative genomic hybridization, and alterations of global transcriptional activity. Previously, we had conducted a similar analysis of primary rectal carcinomas. The systematic comparison of colon and rectal carcinomas revealed a significant overlap of genomic imbalances and transcriptional deregulation, including activation of the Wnt/beta-catenin signaling cascade, suggesting similar pathogenic pathways.

Adenocarcinoma↗

PubMed2003

RIKEN Arabidopsis full-length (RAFL) cDNA and its applications for expression profiling under abiotic stress conditions.

Full-length cDNAs are essential for the correct annotation of genomic sequences and for the functional analysis of genes and their products. 155,144 RIKEN Arabidopsis full-length (RAFL) cDNA clones were isolated. The 3'-end expressed sequence tags (ESTs) of all 155,144 RAFL cDNAs were clustered into 14,668 non-redundant cDNA groups, about 60% of predicted genes. The sequence database of the RAFL cDNAs is useful for promoter analysis and the correct annotation of predicted transcription units and gene products. Recently, cDNA microarray analysis has been developed for quantitative analysis of global and simultaneous analysis of expression profiles. RAFL cDNA microarrays were prepared, containing independent full-length cDNA groups for analysing the expression profiles of genes under various stress- and hormone-treatment conditions and in various mutants and transgenic plants. In this review, recent progress on transcriptome analysis using the RAFL cDNA microarray is highlighted.

Arabidopsis↗

PubMed2006

Ligand-binding activity and expression profile of annexins in Caenorhabditis elegans.

Mammalian annexins are implicated in several physiological mechanisms based on their calcium-dependent phospholipid/membrane binding and carbohydrate-binding activities. In this study, we investigated gene expression profiles of all four Caenorhabditis elegans annexins, nex-1, -2, -3 and -4, throughout the development, and compared phospholipid- and carbohydrate-binding properties of their protein products, NEX-1, -2, -3 and -4. We found that nex-1 and -3 are transcribed continuously during the developmental stages, while expression of nex-2 and -4 appeared to be temporal, peaking at the L1 stage followed by a gradual decrease toward the adult stage. NEX-1 and -3 were detected as single protein band in total worm extracts by immunoblotting, but NEX-2 was heterogenic in size. NEX-1, -2, and -3 showed the binding activities to phosphatidylserine, phosphatidylinositol and phosphatidylethanolamine, but not to phosphatidylcholine. In contrast to their uniform phospholipids-binding properties, their glycosaminoglycan-binding activities were distinctive. NEX-2 bound to heparan sulfate and chondroitin, NEX-3 bound only to heparan sulfate, and NEX-1 showed no lectin activities under tested conditions. NEX-4 had neither phospholipids- nor carbohydrate-binding properties. Differentiated expression profiles and ligand-binding properties of NEX-1, -2, -3 and -4, shown in our study, may represent distinctive roles for each C. elegans annexins.

Amino Acid Sequence↗

PubMed2002

Gene expression profiles--a new dynamic and functional dimension to the exploration of learning and memory.

Many experiments in the past have demonstrated the requirement of de novo gene expression during the long-term retention of learning and memory. Although previous studies implicated individual genes or genetic pathways in learning and memory they did not uncover the collective behaviors of the genes. In view of the broad variety of genes and the cross-talk of genetic pathways, gene expression profiles offer a new dynamic and functional dimension to the exploration of learning and memory. This review illustrates how DNA microarray-based gene expression profiling may help to dissect and analyze the complex mechanisms involved in gene regulation during the acquisition and storage of memory.

Animals↗

PubMed2005

Molecular classification of tamoxifen-resistant breast carcinomas by gene expression profiling.

PURPOSE: To discover a set of markers predictive for the type of response to endocrine therapy with the antiestrogen tamoxifen using gene expression profiling. PATIENTS AND METHODS: The study was performed on 112 estrogen receptor-positive primary breast carcinomas from patients with advanced disease and clearly defined types of response (ie, 52 patients with objective response v 60 patients with progressive disease) from start of first-line treatment with tamoxifen. Main clinical end points are the effects of therapy on tumor size and time until tumor progression (progression-free survival [PFS]). RNA isolated from tumor samples was amplified and hybridized to 18,000 human cDNA microarrays. RESULTS: Using a training set of 46 breast tumors, 81 genes were found to be differentially expressed (P < or = .05) between tamoxifen-responsive and -resistant tumors. These genes were involved in estrogen action, apoptosis, extracellular matrix formation, and immune response. From the 81 genes, a predictive signature of 44 genes was extracted and validated on an independent set of 66 tumors. This 44-gene signature is significantly superior (odds ratio, 3.16; 95% CI, 1.10 to 9.11; P = .03) to traditional predictive factors in univariate analysis and also significantly related with a longer PFS in univariate (hazard ratio, 0.54; 95% CI, 0.31 to 0.94; P = .03) as well as in multivariate analyses (P = .03). CONCLUSION: Our data show that gene expression profiling can be used to discriminate between breast cancer patients with progressive disease and objective response to tamoxifen. Additional studies are needed to confirm if the predictive signature might allow identification of individual patients who could benefit from other (adjuvant) endocrine therapies.

Adult↗

PubMed2003

Gene expression profiles associated with inflammation, fibrosis, and cholestasis in mouse liver after griseofulvin.

Erythropoietic protoporphyria patients can develop cholestasis, severe hepatic damage, fibrosis, and cirrhosis. We modeled this hepatic pathology in C57BL/6J and BALB/c mice using griseofulvin and analyzed 3,127 genes for alteration of expression in the liver before and during the onset of protoporphyria, cholestasis, inflammation, and hepatic fibrosis. The two mouse strains developed different levels of pathologic damage in response to the griseofulvin. Characteristic gene expression profiles could be associated with griseofulvin-induced gene expression, disruption of lipid metabolism, and the pathologic states of inflammation, early fibrosis, and cholestasis. Additionally, some genes individually indicated an alteration of homeostasis. or pathologic state; for example, fibroblast proliferation was potentially indicated by increased calcyclin (SA100a6) expression. Changes in cytochrome P450 (Cyp) gene expression were particularly pronounced, with increased expression of the Cyp2a, Cyp2b, and Cyp3a families. Decreased Cyp4a10 and Cyp4a14 expression was observed that could be associated with early pathologic change. A potential decrease in bile acid and steroid biosynthesis was indicated by the decreased expression of Cyp7b1 and Hsd3b4, respectively. DNA damage was indicated by induction of GADD45. This study illustrates how transcriptional programs can be associated with different stimuli in the same experiment. The time course of change in the gene expression profile compared with changes in pathology and clinical chemistry shows the potential of this approach for modeling causative, predictive, and adaptive changes in gene expression during pathologic change.

Animals↗