PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “expression profiling”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,081 records · Page 60Linked to original sources

Breast cancer expression profiling: the impact of microarray testing on clinical decision making.

The available clinical prognostic tools show an obvious limitation in predicting the outcome of breast cancer patients, and pathological features cannot classify tumours accurately. Microarray-based molecular classification of breast tumours or selection of gene expression panels to improve risk prediction or treatment outcomes are thought to be theoretically superior to established clinical and pathological criteria, based on guidelines such as the St Gallen and National Institute of Health consensus, or which use specific prognostic tools, such as the Nottingham Prognostic Index or Adjuvant-Online algorithm. Although two diagnostic tests based on gene expression profiling of breast cancer are commercially available, a new molecular classification and molecular forecasting of breast cancer based on expression profiling cannot outperform the standard tumour diagnostic at present. This review focuses on some important problems in the practical application of molecular profiling of breast cancer for clinical purposes.

Breast Neoplasms↗

Gene expression profiling reveals intrinsic differences between T-cell acute lymphoblastic leukemia and T-cell lymphoblastic lymphoma.

BACKGROUND: T-cell acute lymphoblastic leukemia (T-ALL) and T-cell lymphoblastic lymphoma (T-LL) and are often thought to represent a spectrum of a single disease. The malignant cells in T-ALL and T-LL are morphologically indistinguishable, and they share the expression of common cell surface antigens and cytogenetic characteristics. However, despite these similarities, differences in the clinical behavior of T-ALL and T-LL are observed. PROCEDURE: We analyzed the gene expression profiles of T-ALL and T-LL samples obtained from Children's Oncology Group (COG) tumor banks using DNA arrays. Immunohistochemistry was also performed to validate the expression of selected targets. RESULTS: Unsupervised hierarchical clustering of all samples showed complete segregation of T-ALL and T-LL into distinct clusters. Next, we identified the top 201 genes that best differentiated T-ALL from T-LL using significance analysis of microarrays (SAM), a supervised statistical approach. Genes representing several functional groups were differentially expressed in T-LL and T-ALL. Prediction analysis of microarrays (PAM) identified a subset of genes, which accurately classified all 19 T-ALL and T-LL samples with an overall misclassification error rate of 0. Immunohistochemical validation of protein expression of selected genes identified by microarray analysis confirmed overexpression of MLL-1 in T-LL tumor cells compared to T-ALL and CD47 in T-ALL tumors cells when compared to T-LL. CONCLUSIONS: Despite significant similarities between the malignant T-cell precursors, clear differences in the gene expression profiles were observed between T-ALL and T-LL implying underlying differences in the biology of the two entities.

Bone Marrow↗

In utero exposure to tributyltin chloride differentially alters male and female fetal gonad morphology and gene expression profiles in the Sprague-Dawley rat.

Tributyltin (TBT) is an environmental contaminant commonly used in anti-fouling agents for boats, as well as a by-product from several industrial processes. It has been shown to accumulate in organisms living in areas with heavy maritime traffic thereby entering the food chain. Here, we determined the consequences of in utero exposure to TBT on the developing fetal gonads in the Sprague-Dawley rat. Timed pregnant rats were gavaged either with vehicle or TBT (0.25, 2.5, 10 or 20 mg/kg) from days 0 to 19 or 8 to 19 of gestation. On gestational day 20, dams were sacrificed; fetal testes and ovaries were processed for light (LM) or electron microscopic (EM) evaluation and RNA was prepared for gene expression profiling. At the highest doses of TBT the number of Sertoli cells and gonocytes was reduced, there were large intracellular spaces between Sertoli cells and gonocytes and there was an increased abundance of lipid droplets in the Sertoli cells; EM studies revealed abnormally dilated endoplasmic reticulum in Sertoli cells and gonocytes. In the intertubular region between adjacent interstitial cells, immunostaining for the gap junctional protein connexin 43 was strong in controls, whereas it was reduced or completely absent in treated rats. In the ovaries, TBT (20 mg/kg, days 0-19; 10 mg/kg, days 8-19) reduced the number of germ cells by 44% and 46%, respectively. On examining gene expression profiles in the testis, 40 genes out of 1176 tested were upregulated more than two-fold over control. While no genes were upregulated in the TBT exposed fetal ovary, eight genes were downregulated. In conclusion, in utero exposure to TBT resulted in gender-specific alterations in gonadal development and gene expression profiles suggesting that there may be different adaptive changes to toxicity in developing male and female rats.

Abnormalities, Drug-Induced↗

Genome-wide expression profiling of the response to polyene, pyrimidine, azole, and echinocandin antifungal agents in Saccharomyces cerevisiae.

Antifungal compounds exert their activity through a variety of mechanisms, some of which are poorly understood. Novel approaches to characterize the mechanism of action of antifungal agents will be of great use in the antifungal drug development process. The aim of the present study was to investigate the changes in the gene expression profile of Saccharomyces cerevisiae following exposure to representatives of the four currently available classes of antifungal agents used in the management of systemic fungal infections. Microarray analysis indicated differential expression of 0.8, 4.1, 3.0, and 2.6% of the genes represented on the Affymetrix S98 yeast gene array in response to ketoconazole, amphotericin B, caspofungin, and 5-fluorocytosine (5-FC), respectively. Quantitative real time reverse transcriptase-PCR was used to confirm the microarray analyses. Genes responsive to ketoconazole, caspofungin, and 5-FC were indicative of the drug-specific effects. Ketoconazole exposure primarily affected genes involved in ergosterol biosynthesis and sterol uptake; caspofungin exposure affected genes involved in cell wall integrity; and 5-FC affected genes involved in DNA and protein synthesis, DNA damage repair, and cell cycle control. In contrast, amphotericin B elicited changes in gene expression reflecting cell stress, membrane reconstruction, transport, phosphate uptake, and cell wall integrity. Genes with the greatest specificity for a particular drug were grouped together as drug-specific genes, whereas genes with a lack of drug specificity were also identified. Taken together, these data shed new light on the mechanisms of action of these classes of antifungal agents and demonstrate the potential utility of gene expression profiling in antifungal drug development.

Anti-Bacterial Agents↗

Gene expression profiling of cell lines derived from T-cell malignancies.

The expression profiles of eight cell lines derived from T-cell malignancies were compared to CD4-positive T-cells using cDNA microarray technology. Unsupervised hierarchical clustering of 4364 genes demonstrated substantial heterogeneity resulting in four distinct groups. While no genes were found to be uniformly up- or down-regulated across all cell lines, we observed 111 over-expressed genes (greater than two-fold) and 1118 down-regulated genes (greater than two-fold) in the lymphomas as a group when compared to CD4-positive T-cells. These included genes involved in cytokine signaling, cell adhesion, cytoskeletal elements, nuclear transcription factors, and known oncogenes and tumor suppressor genes. Quantitative fluorescent reverse transcription-polymerase chain reaction analysis demonstrated 70% concordance with the microarray results. While freshly isolated malignant cells may differ in their individual expression patterns relative to established cell lines from the same diagnoses, we feel that the variety of different lymphocytic cell lines that we examined provides a representative picture of the molecular pathogenesis of T-cell malignancies.

CD4-Positive T-Lymphocytes↗

Expression profiling of vitamin D treated primary human keratinocytes.

Vitamin D has attracted much attention by its ability to stop cell proliferation and induce differentiation, which became of particular interest for the treatment of cancer and psoriasis. We performed an expression profile of 12 hours and 24 hours 1alpha,25-dihydroxyvitamin D(3) (1alpha,25(OH)(2)D(3)) treated primary human keratinocytes, to determine the changes in gene expression induced by the steroid in order to improve our understanding of the biological activity of 1alpha,25(OH)(2)D(3). This we expect to be useful for establishing a test system for vitamin D analogs or might open new therapeutic targets or uses for the hormone. For the filter array experiments a non-redundant set of 2135 sequence verified EST clones was used. The normalized raw data of 2 filters per time point were combined and subjected to SAM analysis to further increase the statistical significance. 86 positive and 50 negative genes were identified after 12 h. The numbers went down to 43 positive and 1 negative gene after 24 h of treatment. Fifteen genes are up-regulated over a longer period of time (12 h and 24 h). Results were verified by real-time PCR and/or Northern blots. Targets identified are involved in intracellular signaling, transcription, cell cycle, metabolism, cellular growth, constitution of the extracellular matrix or the cytoskeleton and apoptosis, immune responses, and DNA repair, respectively. Expression profiles showed an initial stop of proliferation and induction of differentiation, and resumed proliferation after prolonged incubation, most likely due to degradation of the hormone.

Base Sequence↗

Global expression profiling of yeast treated with an inhibitor of amino acid biosynthesis, sulfometuron methyl.

The expression pattern of 1,529 yeast genes in response to sulfometuron methyl (SM) was analyzed by DNA microarray technology. SM, a potent herbicide, inhibits acetolactate synthase, a branched-chain amino acid biosynthetic enzyme. Exposure of yeast cells to 0.2 microg/ml SM resulted in 40% growth inhibition, a Gcn4p-mediated induction of genes involved in amino acid and cofactor biosynthesis, and starvation response. The accumulation of intermediates led to the induction of stress response genes and the repression of genes involved in carbohydrate metabolism, nucleotide biosynthesis, and sulfur assimilation. Extended exposure to SM led to a relaxation of the initial response and induction of sugar transporter and ergosterol biosynthetic genes, as well as repression of histone and lipid metabolic genes. Exposure to 5 microg/ml SM resulted in >98% growth inhibition and stimulated a similar initial expression change, but with no relaxation after extended exposure. Instead, more stress response and DNA damage repair genes become induced, suggesting a serious cellular consequence. Other salient features of metabolic regulation, such as the coordinated expression of cofactor biosynthetic genes with amino acid biosynthetic ones, were evident from our data. A potential link between SM sensitivity and ergosterol metabolism was uncovered by expression profiling and confirmed by genetic analysis.

Acetolactate Synthase↗

Ultrasensitive DNA chip: gene expression profile analysis without RNA amplification.

We have developed a new DNA chip whose substrate has a unique minute columnar array structure made of plastic. The DNA chip exhibits ultrahigh sensitivity, up to 100-fold higher than that of reference DNA chips, which makes it possible to monitor gene expression profiles even with very small amounts of RNA (0.1-0.01 microg of total RNA) without amplification. Differential expression ratios obtained with the new DNA chip were validated against those obtained with quantitative real-time PCR assays. This novel microarray technology would be a powerful tool for monitoring gene expression profiles, especially for clinical diagnosis.

Gene Expression Profiling↗

Differential expression profiling of genes in a complete hydatidiform mole using cDNA microarray analysis.

OBJECTIVES: To gain a better understanding of the genes involved in the pathogenesis of gestational trophoblastic diseases, we evaluated the genome-wide expression levels of genes in complete hydatidiform mole (H-mole) as compared to normal placenta using cDNA microarray technique. METHODS: The expression profiles of complete H-mole tissues were compared with those of normal placenta using cDNA microarray technique. The data obtained from 10,305 human genes were normalized by the print-tip-based LOWESS method. Significance analysis of microarray (SAM) was used to identify genes with statistically significant changes in expression. The expression levels of genes which showed significant differences between normal early placenta and complete H-mole tissues were further confirmed by RT-PCR. RESULTS: A cDNA microarray analysis consisting of 10,305 human genes revealed significant changes in the expression of 213 genes, with 91 genes being upregulated and 122 being downregulated. SAM revealed significant changes in gene expression, including those associated with signal transduction, cell structure, transcription, and apoptosis. Further RT-PCR analysis of altered gene expression in mole tissues supported the microarray analysis results. We confirmed the upregulation of TLE4, CAPZA1, PRSS25, RNF130, and USP1 in complete H-mole tissues. Moreover, our study provides the first evidence that ELK3, LAMA3, LNK, STAT2, and TNFRSF25 are downregulated in complete H-mole compared to normal early placenta tissues. CONCLUSIONS: These findings provide a large body of information regarding gene expression profiles associated with complete H-mole tumorigenesis and allow the identification of potential targets for tumor prevention or therapy.

DNA, Complementary↗

Gene expression profiles of mouse submandibular gland development: FGFR1 regulates branching morphogenesis in vitro through BMP- and FGF-dependent mechanisms.

Analyses of gene expression profiles at five different stages of mouse submandibular salivary gland development provide insight into gland organogenesis and identify genes that may be critical at different stages. Genes with similar expression profiles were clustered, and RT-PCR was used to confirm the developmental changes. We focused on fibroblast growth factor receptor 1 (FGFR1), as its expression is highest early in gland development. We extended our array results and analyzed the developmental expression patterns of other FGFR and FGF isoforms. The functional significance of FGFR1 was confirmed by submandibular gland organ culture. Antisense oligonucleotides decreased expression of FGFR1 and reduced branching morphogenesis of the glands. Inhibiting FGFR1 signaling with SU5402, a FGFR1 tyrosine kinase inhibitor, reduced branching morphogenesis. SU5402 treatment decreased cell proliferation but did not increase apoptosis. Fgfr, Fgf and Bmp gene expression was localized to either the mesenchyme or the epithelium by PCR, and then measured over time by real time PCR after SU5402 treatment. FGFR1 signaling regulates Fgfr1, Fgf1, Fgf3 and Bmp7 expression and indirectly regulates Fgf7, Fgf10 and Bmp4. Exogenous FGFs and BMPs added to glands in culture reveal distinct effects on gland morphology. Glands cultured with SU5402 were then rescued with exogenous BMP7, FGF7 or FGF10. Taken together, our results suggest specific FGFs and BMPs play reciprocal roles in regulating branching morphogenesis and FGFR1 signaling plays a central role by regulating both FGF and BMP expression.

Animals↗

Expression profiling of epithelial plasticity in tumor progression.

Epithelial-to-mesenchymal transition (EMT), a switch of polarized epithelial cells to a migratory, fibroblastoid phenotype, is increasingly considered as an important event during malignant tumor progression and metastasis. To identify molecular players involved in EMT and metastasis, we performed expression profiling of a set of combined in vitro/in vivo cellular models, based on clonal, fully polarized mammary epithelial cells. Seven closely related cell pairs were used, which were modified by defined oncogenes and/or external factors and showed specific aspects of epithelial plasticity relevant to cell migration, local invasion and metastasis. Since mRNA levels do not necessarily reflect protein levels in cells, we used an improved expression profiling method based on polysome-bound RNA, suitable to analyse global gene expression on Affymetrix chips. A substantial fraction of all regulated genes was found to be exclusively controlled at the translational level. Furthermore, profiling of the above multiple cell pairs allowed one to identify small numbers of genes by cluster analysis, specifically correlating gene expression with EMT, metastasis, scattering and/or oncogene function. A small set of genes specifically regulated during EMT was identified, including key regulators and signaling pathways involved in cell proliferation, epithelial polarity, survival and trans-differentiation to mesenchymal-like cells with invasive behavior.

Animals↗

Intragraft gene expression profile during acute cellular rejection in clinical small bowel transplantation: a case report.

BACKGROUND: Acute cellular rejection (ACR) is a common complication of small bowel transplantation (SBTx) and the major cause of graft loss. However, little is known regarding the genetic graft response to ACR in clinical transplants. In this study, we have determined a genetic expression profile of intestinal graft response to ACR after living related (LR) SBTx. RESULTS: By identifying the expression profiles of reported markers of rejection we were able to identify 57 genes that had significantly increased (more than twofold) expression in response to ACR. Known markers of rejection identified: MMP-9, MMP-2, VIP, IFNgamma, IL-2R, MADCAM-1, HSP-60, and HSP-70 all had greater than twofold increased expression after ACR diagnosed (week 3 to week 6). The newly identified genes were: IFI27, EPST11, APAF1, LAP3, STK6, and MDK. CONCLUSION: Newly identified up-regulated genes in response to ACR in small bowel graft are involved in the immune response, cell adhesion, neurogenesis, cell division and proliferation, DNA replication/repair, protein ubiquitin/proteolysis, and apoptosis. TNFalpha up-regulated early at week 2 biopsy may be an early genetic marker of ACR in SBTx.

Biopsy↗

Gene expression profiles of microvascular endothelial cells after stimuli implicated in the pathogenesis of vasoocclusion.

Altered gene expression in endothelial cells interacting with sickle red blood cells (RBC) and other blood components, in particular the pro-inflammatory cytokines, is an essential step in the pathogenesis of vasoocclusive crises in sickle cell disease (SCD). Using cDNA arrays, we monitored gene expression profiles of human lung microvascular endothelial cells (HMVEC-L) after stimuli that are likely involved in the pathogenesis of vasoocclusion. We detected increased expression of multiple genes in HMVEC-L after their exposure to pro-inflammatory cytokines TNFalpha and IL-1beta and to RBC with increased external exposure of phosphatidylserine and RBC from a patient with SC hemoglobin. While some of these genes have previously been implicated in vascular damage, many represent new targets for investigation of the pathogenesis of vasoocclusion in SCD.

Cells, Cultured↗

Global expression profiling identifies signatures of tumor virulence in MMTV-PyMT-transgenic mice: correlation to human disease.

FVB/N-Tg (MMTV-PyMT)(634Mul)-transgenic mice develop multifocal mammary tumors with a high incidence of pulmonary metastasis. We have demonstrated previously that mammary tumors derived from transgene-positive F1 progeny in particular inbred strains display altered latency, tumor growth rates, and metastatic rates when compared with the FVB/NJ homozygous parent. To identify genes with expression that might be critical in modifying the biological behavior of MMTV-PyMT tumors, we performed a detailed comparative analysis of expression profiles from mammary tumors arising in the parental FVB/NJ background and F1 progeny from crosses with I/LnJ, LP/J, MOLF/Ei, and NZB/B1NJ mice. Compared with normal mammary glands, gene expression profiles of tumors from all five strains exhibited up-regulation of genes involved in cell growth (e.g., Cks1 and CDC25C) and down-regulation of cell adhesion molecules, with many genes associated previously with human breast cancer such as STAT2, CD24 antigen, gelsolin, and lipocalin2. To identify genes with significant variation in expression between the five different genotypes, significance analysis of microarrays (SAM) and one-way ANOVA were used. Three definable groupings of tumors were identified: (a) tumors derived in the LP/J F1 and MOLF/Ei F1 strains in which tumor growth and dissemination are suppressed and latency prolonged; (b) the most aggressive tumors from the FVB/NJ parental strain and I/LnJ F1 genomic backgrounds; and (c) an intermediate virulence phenotype with tumors from NZB/B1NJ-F1 crosses. These array based assessments correlated well with a composite phenotype ranking using a "virulence" index. The gene expression signature that is associated with a high metastatic rate in the mouse contains the same 17 genes described recently as the signature gene set predictive of metastasis in human tumors (1) with 16 of the 17 genes exhibiting the same directional change in expression associated with human metastases. These results demonstrate that the genetic analysis of mouse models of tumorigenesis may be highly relevant to human cancer and that the metastatic phenotype of a tumor may be affected by the germline genetic configuration of the host.

Animals↗

Protein expression profiles of non-small cell lung carcinomas: correlation with histological subtype.

Of the four major subtypes of lung cancer, three subtypes, namely squamous cell lung carcinomas, adenocarcinomas and large cell carcinomas are usually combined within the larger group of non-small cell lung carcinomas (NSCLC). However, the heterogeneity that exists within any given tumor has also been clearly demonstrated. In order to study whether or not the protein expression profile is different in the histological subtypes of NSCLC, the expression of several parameters including proto-oncogene and suppressor gene products, proliferative, apoptotic, angiogenic and resistance factors was evaluated immunohistochemically in 139 NSCLC (45 adenocarcinomas and 94 squamous cell lung carcinomas). In both histological subtypes the percentage of positively-stained parameters was determined. The expression of the proteins ERBB2, JUN, RAS and tissue factor was significantly higher in adenocarcinomas compared to squamous cell lung carcinomas. In contrast, all resistance proteins analyzed were more frequently expressed in squamous cell lung carcinomas in comparison to adenocarcinomas, though only GST-pi reached statistical significance. Apoptotic factors and angiogenic factors were higher in adenocarcinomas, but these differences did not reach statistical significance. In conclusion, the protein expression profiles of adenocarcinomas and squamous cell carcinomas differ from each other. Squamous cell lung carcinomas in comparison to adenocarcinomas are characterized by a down-regulation of some oncogenes and an up-regulation of several resistance factors. These findings could explain the different biological behaviour and treatment response of these tumours.

Adenocarcinoma↗

Perspectives and limitations of gene expression profiling in rheumatology: new molecular strategies.

The deciphering of the sequence of the human genome has raised the expectation of unravelling the specific role of each gene in physiology and pathology. High-throughput technologies for gene expression profiling provide the first practical basis for applying this information. In rheumatology, with its many diseases of unknown pathogenesis and puzzling inflammatory aspects, these advances appear to promise a significant advance towards the identification of leading mechanisms of pathology. Expression patterns reflect the complexity of the molecular processes and are expected to provide the molecular basis for specific diagnosis, therapeutic stratification, long-term monitoring and prognostic evaluation. Identification of the molecular networks will help in the discovery of appropriate drug targets, and permit focusing on the most effective and least toxic compounds. Current limitations in screening technologies, experimental strategies and bioinformatic interpretation will shortly be overcome by the rapid development in this field. However, gene expression profiling, by its nature, will not provide biochemical information on functional activities of proteins and might only in part reflect underlying genetic dysfunction. Genomic and proteomic technologies will therefore be complementary in their scientific and clinical application.

Animals↗

Gene expression profiling of potential peroxisome proliferator-activated receptor (PPAR) target genes in human hepatoblastoma cell lines inducibly expressing different PPAR isoforms.

BACKGROUND: Peroxisome proliferator-activated receptors (PPARs) are ligand-activated transcription factors and commonly play an important role in the regulation of lipid homeostasis. To identify human PPARs-responsive genes, we established tetracycline-regulated human hepatoblastoma cell lines that can be induced to express each human PPAR and investigated the gene expression profiles of these cells. RESULTS: The expression of each introduced PPAR gene was investigated using the various concentrations of doxycycline in the culture media. We found that the expression of each PPAR subtype was tightly controlled by the concentration of doxycycline in these established cell lines. DNA microarray analyses using these cell lines were performed with or without adding each subtype ligand and provided much important information on the PPAR target genes involved in lipid metabolism, transport, storage and other activities. Interestingly, it was noted that while ligand-activated PPARdelta induced target gene expression, unliganded PPARdelta repressed these genes. The real-time RT-PCR was used to verify the altered expression of selected genes by PPARs and we found that these genes were induced to express in the same pattern as detected in the microarray analyses. Furthermore, we analysed the 5'-flanking region of the human adipose differentiation-related protein (adrp) gene that responded to all subtypes of PPARs. From the detailed analyses by reporter assays, the EMSAs, and ChIP assays, we determined the functional PPRE of the human adrp gene. CONCLUSION: The results suggest that these cell lines are important tools used to identify the human PPARs-responsive genes.

Journal Article↗

Gene expression profiles in chondrosarcoma cells subjected to cyclic stretching and hydrostatic pressure. A cDNA array study.

Mechanical forces have a profound effect on cartilage tissue and chondrocyte metabolism. Strenuous loading inhibits the cellular metabolism, while optimal level of loading at correct frequency raises an anabolic response in chondrocytes. In this study, we used Atlas Human Cancer cDNA array to investigate mRNA expression profiles in human chondrosarcoma cells stretched 8% for 6 hours at a frequency of 0.5 Hz. In addition, cultures were exposed to continuous and cyclic (0.5 Hz) 5 MPa hydrostatic pressure. Cyclic stretch had a more profound effect on the gene expression profiles than 5 MPa hydrostatic pressure. Several genes involved with the regulation of cell cycle were increased in stretched cells, as well as mRNAs for PDGF-B, glucose-1-phosphate uridylyltransferase, Tiam1, cdc37 homolog, Gem, integrin alpha6, and matrix metalloproteinase-3. Among down-regulated genes were plakoglobin, TGF-alpha, retinoic acid receptor-alpha and Wnt8b. A smaller number of changes was detected after pressure treatments. Plakoglobin was increased under cyclic and continuous 5 MPa hydrostatic pressure, while mitogen-activated protein kinase-9, proliferating cell nuclear antigen, Rad6, CD9 antigen, integrins alphaE and beta8, and vimentin were decreased. Cyclic and continuous pressurization induces a number of specific changes. In conclusion, a different set of genes were affected by three different types of mechanical stimuli applied on chondrosarcoma cells.

Bone Neoplasms↗