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Results for “Gene expression profiling”

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PubMed2001

Global impact of sdiA amplification revealed by comprehensive gene expression profiling of Escherichia coli.

In Escherichia coli the amplification of sdiA, a positive activator of ftsQAZ, genes that are essential for septation, results in mitomycin C resistance. To help us understand this resistance phenotype, genes whose expression was altered by increased sdiA dosage were identified using a DNA microarray-based, comprehensive transcript profiling method. The expression of 62 genes was reduced by more than threefold; of these, 41 are involved in motility and chemotaxis. Moreover, the expression of 75 genes, 36 of which had been previously characterized, was elevated at least threefold. As expected, increased sdiA dosage led to significantly elevated sdiA and 'ddlB-ftsQAZ-lpxC operon expression. Transcription of two genes, uvrY and uvrC, located downstream of sdiA and oriented in the same direction, was elevated about 10-fold, although the intervening gene, yecF, of opposite polarity was unaffected by increased sdiA dosage. Three genes (mioC and gidAB) flanking the replication origin, oriC, were transcribed more often when sdiA dosage was high, as were 12 genes within 1 min of a terminus of replication, terB. Transcription of the acrABDEF genes, mapping in three widely spaced loci, was elevated significantly, while several genes involved in DNA repair and replication (e.g., nei, recN, mioC, and mcrC) were moderately elevated in expression. Such global analysis provides a link between septation and the response to DNA-damaging agents.

Bacterial Proteins↗
PubMed2004

A versatile assay for high-throughput gene expression profiling on universal array matrices.

We report a flexible, sensitive, and quantitative gene-expression profiling system for assaying more than 400 genes, with three probes per gene, for 96 samples in parallel. The cDNA-mediated annealing, selection, extension and ligation (DASL) assay targets specific transcripts, using oligonucleotides containing unique address sequences that can hybridize to universal arrays. Cell-specific gene expression profiles were obtained using this assay for hormone-treated cell lines and laser-capture microdissected cancer tissues. Gene expression profiles derived from this assay were consistent with those determined by qRT-PCR. The DASL assay has been automated for use with a bead-based 96-array matrix system. The combined high-throughput assay and readout system is accurate and efficient, and can cost-effectively profile the expression of hundreds of genes in thousands of samples.

Androgens↗
PubMed2002

Gene expression profiling in developing human hippocampus.

The gene expression profile of developing human hippocampus is of particular interest and importance to neurobiologists devoted to development of the human brain and related diseases. To gain further molecular insight into the developmental and functional characteristics, we analyzed the expression profile of active genes in developing human hippocampus. Expressed sequence tags (ESTs) were selected by sequencing randomly selected clones from an original 3'-directed cDNA library of 150-day human fetal hippocampus, and a digital expression profile of 946 known genes that could be divided into 16 categories was generated. We also used for comparison 14 other expression profiles of related human neural cells/tissues, including human adult hippocampus. To yield more confidence regarding differential expression, a method was applied to attach normalized expression data to genes with a low false-positive rate (<0.05). Finally, hierarchical cluster analysis was used to exhibit related gene expression patterns. Our results are in accordance with anatomical and physiological observations made during the developmental process of the human hippocampus. Furthermore, some novel findings appeared to be unique to our results. The abundant expression of genes for cell surface components and disease-related genes drew our attention. Twenty-four genes are significantly different from adult, and 13 genes might be developing hippocampus-specific candidate genes, including wnt2b and some Alzheimer's disease-related genes. Our results could provide useful information on the ontogeny, development, and function of cells in the human hippocampus at the molecular level and underscore the utility of large-scale, parallel gene expression analyses in the study of complex biological phenomena.

Adult↗
PubMed2005

Microarray gene expression profiling of cell lines from primary and metastatic tongue squamous cell carcinoma: possible insights from emerging technology.

BACKGROUND: To identify common gene expression patterns among two uniquely matched pairs of primary and metastatic oral squamous cell carcinoma (OSCC) cell lines derived from the same two patient donors. METHODS: Two pairs of cell lines derived from the primary tumors and lymph node metastases of the same two patients were used to obtain microarray-based gene expression profiles. Reverse transcriptase-polymerase chain reaction and immunohistochemistry were used to confirm observed changes for some of the candidate genes. RESULTS: Approximately 50% of the genes profiled were expressed in all four cell lines. Cluster analysis identified a group of 17 genes whose expression correlated inversely with metastatic progression. Only 10 common genes were differentially expressed in both pairs of primary and metastatic cells. A group of 28 highly expressed genes was common for both metastatic cell lines, among them some of the known metastasis-related genes such as laminin receptor, thymosin beta-4 and beta-10 and metallopanstimulin. CONCLUSIONS: Groups of presumed metastasis-related genes are highly heterogeneous and vary significantly between the two patients. Thus, it is unlikely that the metastatic phenotype of these OSCC cells is acquired by de-regulation of a single gene or a group of few genes. Most likely, multiple combinations of differentially expressed genes are involved in facilitating metastatic spread of these oral carcinoma cell lines.

Carcinoma, Squamous Cell↗
PubMed2006

Gene expression profiling of breast cancer.

Numerous genes are controlled by complex regulatory networks and involved in the development and progression of breast cancer, and these genes are the key factors determining each characteristic of the tumor. Gene expression profiling, a large scale analysis of gene expression, has created new possibilities for the molecular characterization of cancer. Systematic analysis of expression patterns of thousands of genes in tumor cells using DNA microarrays and correlation of these patterns to specific features of phenotypic variation may provide the basis for an improved taxonomy of cancer. These profiles have the potential to explain the genetic heterogeneity of breast cancer and allow treatment strategies to be planned in accordance with their probability of success in individual patients.

Antineoplastic Agents↗
PubMed2006

Alteration of hTERT full-length variant expression level showed different gene expression profiles and genomic copy number changes in breast cancer.

We analyzed hTERT splicing patterns with respect to telomerase activity in breast cancer. Using a cDNA microarray in 22 cell lines, we observed the difference in expression profiling based on the different levels of full-length variant expression with 71 selected genes. Using 33 known genes that act with the telomerase complex, we performed unsupervised clustering with all cell lines, and found a clustering tendency related to the full-length variant expression level. Using array-based CGH, highly altered genomic copy number changes were found more often in MCF-7 (159 genes) than in MDA-MB-231 (109 genes) and MDA-MB-435 (49 genes), suggesting more genomic changes in MCF-7 cells. On comparing MCF-7 with MDA-MB231 and MDA-MB-435 cell lines, we identified 8 genes with different copy numbers, including dystroglycan, which is located in the p12-21.2 area of chromosome 3. In conclusion, alterations in the level of the full-length variant of hTERT showed different gene expression profiles and genomic copy number changes in breast cancer, which require further study into their cause-and-effect relationship.

Alternative Splicing↗
PubMed2006

Gene expression profiles of small-cell lung cancers: molecular signatures of lung cancer.

To characterize the molecular mechanisms involved in the carcinogenesis and progression of small-cell lung cancer (SCLC) and identify molecules to be applied as novel diagnostic markers and/or for development of molecular-targeted drugs, we applied cDNA microarray profile analysis coupled with purification of cancer cells by laser-microbeam microdissection (LMM). Expression profiles of 32,256 genes in 15 SCLCs identified 252 genes that were commonly up-regulated and 851 transcripts that were down-regulated in SCLC cells compared with non-cancerous lung tissue cells. An unsupervised clustering algorithm applied to the expression data easily distinguished SCLC from the other major histological type of non-small cell lung cancer (NSCLC) and identified 475 genes that may represent distinct molecular features of each of the two histological types. In particular, SCLC was characterized by altered expression of genes related to neuroendocrine cell differentiation and/or growth such as ASCL1, NRCAM, and INSM1. We also identified 68 genes that were abundantly expressed both in advanced SCLCs and advanced adenocarcinomas (ADCs), both of which had been obtained from patients with extensive chemotherapy treatment. Some of them are known to be transcription factors and/or gene expression regulators such as TAF5L, TFCP2L4, PHF20, LMO4, TCF20, RFX2, and DKFZp547I048 as well as those encoding nucleotide-binding proteins such as C9orf76, EHD3, and GIMAP4. Our data provide valuable information for better understanding of lung carcinogenesis and chemoresistance.

Antineoplastic Agents↗
PubMed2004

Gene expression profiling of human erythroid progenitors by micro-serial analysis of gene expression.

We compared the expression profiles of highly purified human CD34+ cells and erythroid progenitor cells by micro-serial analysis of gene expression (microSAGE). Human CD34+ cells were purified from granulocyte colony-stimulating factor-mobilized blood stem cells, and erythroid progenitors were obtained by cultivating these cells in the presence of stem cell factor, interleukin 3, and erythropoietin. Our 10,202 SAGE tags allowed us to identify 1354 different transcripts appearing more than once. Erythroid progenitor cells showed increased expression of LRBA, EEF1A1, HSPCA, PILRB, RANBP1, NACA, and SMURF. Overexpression of HSPCA was confirmed by real-time polymerase chain reaction analysis. MicroSAGE revealed an unexpected preferential expression of several genes in erythroid progenitor cells in addition to the known functional genes, including hemoglobins. Our results provide reference data for future studies of gene expression in various hematopoietic disorders, including myelodysplastic syndrome and leukemia.

Antigens, CD34↗
PubMed2002

Open system gene expression profiling and identification of novel genes for targeted vaccine delivery.

Ongoing development of vaccines is limited by the techniques used to identify routes to immunization. Using open system gene expression profiling, researchers can now directly identify receptors used by M-cells in the transport of antigens to the mucosal immune system. These receptors will be ideal for targeted delivery of new synthetic vaccines. In addition, gene expression profiling will provide important new information on the biology of the M-cell and mucosal immune mechanisms.

Gene Expression Profiling↗
PubMed2004

Differentiation of DNA reactive and non-reactive genotoxic mechanisms using gene expression profile analysis.

Genotoxic stress triggers a variety of biological responses including the transcriptional activation of genes regulating DNA repair, cell survival and cell death. Here, we investigated whether gene expression profiles can differentiate between DNA reactive and DNA non-reactive mechanisms of genotoxicity. We analyzed gene expression profiles and micronucleus levels in L5178Y cells treated with cisplatin and sodium chloride. The assessment of cisplatin genotoxicity (up to six-fold increase in the number of micronuclei) and gene expression profile (increased expression of genotoxic stress-associated genes) was in agreement with cisplatin mode of action as a DNA adduct-forming agent. The gene expression profile analysis of cisplatin-treated cells identified a number of genes with robust up regulation of mRNA expression including genes associated with DNA damage (i.e. members of GADD45 family), early response (i.e. cFOS), and heat shock protein (i.e. HSP40 homologue). The gene expression changes correlated well with DNA damage as measured by DNA-protein crosslinks and platinum-DNA binding. To differentiate the genotoxic stress-associated expression profile of cisplatin from a general toxic stress, we have compared the gene expression profile of cisplatin-treated cells to cells treated with sodium chloride, which causes osmotic shock and cell lysis. Although the sodium chloride treatment caused a two-fold induction of micronuclei, the gene expression profile at equitoxic concentrations was remarkably distinct from the profile observed with cisplatin. The profile of sodium chloride featured a complete lack of expression changes in genes associated with DNA damage and repair. In summary, the gene expression profiles clearly distinguished between DNA reactive and non-reactive genotoxic mechanisms of cisplatin and sodium chloride. Our results suggest the potential utility of gene expression profile analysis for elucidating mechanism of action of genotoxic agents.

Animals↗
PubMed2004

Insights from the gene expression profiling of multiple myeloma.

Recent gene expression profiling using high throughput sequencing and microarray analysis of multiple myeloma has shed new light on this morphologically homogeneous yet clinically heterogeneous disease. The biology of the disease has been interrogated in studies, which reveal that patients have unique gene expression clusters that correlate with disease severity. These studies have also revealed that some myeloma cells have gene expression characteristics that resemble the molecular profile of late-stage B cells. Expression profiling can identify hallmark immunoglobulin translocations and other common structural genetic changes that impart prognostic significance. Molecular profiling has been demonstrated to be of value in pharmacogenomic studies predicting response to therapy and revealing novel therapeutic targets. These studies are providing insight into many previously unexplained features of this difficult disease.

Bone Marrow↗
PubMed2003

Gene expression profiling in clinically localized prostate cancer: a four-gene expression model predicts clinical behavior.

PURPOSE: New diagnostic and prognostic molecular markers are required for prostate cancer, one of the most common male malignancies in Western countries. Gene expression profiling may help to identify genes involved in prostate carcinogenesis, yield clinical biomarkers, and improve tumor classification. EXPERIMENTAL DESIGN: To identify fundamental differences between normal and neoplastic prostate tissue, we used real-time quantitative RT-PCR assays to quantify the mRNA expression of 291 selected genes in samples of normal prostate and of well-documented primary, clinically localized prostate tumors. RESULTS: Forty-six genes showed significantly different expression in tumors relative to normal prostate. The dysregulated genes belong notably to the extracellular membrane and extracellular membrane remodeling categories and are involved in angiogenesis. Furthermore, we obtained a four-gene (XLKD1/LYVE1, CGA, F2R/PAR1, and BCL-G) model that discriminated between the seven patients with and the seven patients without relapse, independently of stage and grade. CONCLUSIONS: Some dysregulated genes are good candidates for use as molecular markers and/or therapeutic targets. Furthermore, differential gene expression profiling of clinically localized prostate tumors from relapsing and nonrelapsing patients identified a set of four genes with a pattern of expression that defines a molecular signature that could predict the clinical behavior of this disease.

Aged↗
PubMed2002

Gene expression profiles of genistein-treated PC3 prostate cancer cells.

Our previous studies have shown that genistein inhibits the growth of PC3 prostate cancer cells and induces apoptosis by inhibiting nuclear factor kappaB (NF-kappaB) and Akt signaling pathways. To better understand the precise molecular mechanism(s) by which genistein exerts its effects on PC3 cells, we utilized cDNA microarray to interrogate 12,558 known genes to determine the gene expression profiles altered by genistein treatment. We found a total of 832 genes that showed a greater than twofold change after genistein treatment from two independent experiments with a high degree of concordance. Among these genes, 774 genes were down-regulated and 58 genes were up-regulated with genistein treatment. Cluster analysis showed nine different types of expression alternations. These genes were also subjected to cluster analysis according to their biological functions. We found that genistein regulated the expression of genes that are critically involved in the regulation of cell growth, cell cycle, apoptosis, cell signaling transduction, angiogenesis, tumor cell invasion and metastasis. Reverse transcription-polymerase chain reaction (RT-PCR) analysis was used to confirm the results of cDNA microarray, and the results of RT-PCR were consistent with the microarray data. We conclude that genistein affected the expression of a large number of genes that are related to the control of cell survival and physiologic behaviors. The gene expression profiles provide comprehensive molecular mechanism(s) by which genistein exerts its pleiotropic effects on cancer cells. Genistein-induced regulation of these genes may be further exploited for devising chemopreventive and/or therapeutic strategies for prostate cancer.

Base Sequence↗
PubMed1999

Reactivation of insulin-like growth factor binding protein 2 expression in glioblastoma multiforme: a revelation by parallel gene expression profiling.

We carried out a gene expression profiling study using cDNA array technology with 24 primary glioma tissues of low-grade (oligodendroglioma), intermediate-grade (anaplastic oligodendroglioma and anaplastic astrocytoma), and high-grade (glioblastomas multiforme) tumors and found that insulin-like growth factor binding protein 2 (IGFBP2) was consistently overexpressed only in glioblastoma multiforme. The cDNA array results were confirmed by Northern and Western blotting. The fact that the IGFBP2 gene, which is normally expressed in fetal cells and turned off in adult cells, becomes reactivated in the most advanced stage of glioma suggests that glioma progression is a result of dedifferentiation or results from a block of differentiation. Identification of IGFBP2 as a gene associated with glioma progression demonstrates the power and utility of high-throughput gene expression profiling in cancer gene discovery.

Gene Expression Regulation, Enzymologic↗
PubMed2001

Genome-wide analysis of developmental and sex-regulated gene expression profiles in Caenorhabditis elegans.

We have constructed DNA microarrays containing 17,871 genes, representing about 94% of the 18,967 genes currently annotated in the Caenorhabditis elegans genome. These DNA microarrays can be used as a tool to define a nearly complete molecular profile of gene expression levels associated with different developmental stages, growth conditions, or worm strains. Here, we used these full-genome DNA microarrays to show the relative levels of gene expression for nearly every gene during development, from eggs through adulthood. These expression data can help reveal when a gene may act during development. We also compared gene expression in males to that of hermaphrodites and found a total of 2,171 sex-regulated genes (P < 0.05). The sex-regulated genes provide a global view of the differences between the sexes at a molecular level and identify many genes likely to be involved in sex-specific differentiation and behavior.

Aging↗
PubMed2004

Gene expression profiling of choline-deprived neural precursor cells isolated from mouse brain.

Choline is an essential nutrient and an important methyl donor. Choline deficiency alters fetal development of the hippocampus in rodents and these changes are associated with decreased memory function lasting throughout life. Also, choline deficiency alters global and gene-specific DNA methylation in several models. This gene expression profiling study describes changes in cortical neural precursor cells from embryonic day 14 mice, after 48 h of exposure to a choline-deficient medium. Using Significance Analysis of Microarrays, we found the expression of 1003 genes to be significantly changed (from a total of 16,000 total genes spotted on the array), with a false discovery rate below 5%. A total of 846 genes were overexpressed while 157 were underexpressed. Classification by gene ontology revealed that 331 of these genes modulate cell proliferation, apoptosis, neuronal and glial differentiation, methyl metabolism, and calcium-binding protein classes. Twenty-seven genes that had changed expression have previously been reported to be regulated by promoter or intron methylation. These findings support our previous work suggesting that choline deficiency decreases the proliferation of neural precursors and possibly increases premature neuronal differentiation and apoptosis.

Animals↗
PubMed2005

Differential gene expression profiling between wild-type and ALAS2-null erythroblasts: identification of novel heme-regulated genes.

To identify erythroid-specific heme-regulated genes, we performed differential expression analysis between wild-type and heme-deficient erythroblasts, which had been prepared from wild-type and erythroid-specific delta-aminolevulinate synthase-null mouse ES cells, respectively. Among 8737 clones on cDNA array, 40 cDNA clones, including 34 unknown ESTs, were first selected by their high expression profiles in wild-type erythroblasts, and evaluated further for their erythroid-lineage specificity, expression in hematopoietic tissues in vivo, and heme-dependent expression, which yielded 11, 4, and 4 genes, respectively. Because of the selection strategy employed, the final 4 were considered as the newly identified erythroid-specific heme-regulated genes. These 4 genes were uncoupling protein 2, nucleolar spindle-associated protein, cellular nucleic acid-binding protein, and a novel acetyltransferase-like protein. These findings thus suggest that heme may regulate a wide variety of hitherto unrecognized genes, and further analysis of these genes may clarify their role in erythroid cell differentiation.

5-Aminolevulinate Synthetase↗
PubMed2006

Gene expression profiling during cellular differentiation in the embryonic pituitary gland using cDNA microarrays.

The anterior pituitary is comprised of five major hormone-secreting cell types that differentiate during embryonic development in a temporally distinct manner. Microarrays containing 5,128 unique cDNAs expressed in the chicken neuroendocrine system were produced and used to identify genes with potential involvement in the onset of thyroid-stimulating hormone beta-subunit (TSHbeta), growth hormone (GH), and prolactin (PRL) mRNA during embryonic development. We identified 352 cDNAs that were differentially expressed (P < or = 0.05) on embryonic day 10 (e10), e12, e14, or e17, the period of thyrotroph, somatotroph, and lactotroph differentiation. Self-organizing maps were used to identify genes that may function to initiate hormone gene transcription. Consistent with cellular ontogeny, TSHbeta mRNA increased steadily between e10 and e17, GH mRNA increased between e12 and e17, and PRL mRNA did not increase until e17. Expression of 141 genes increased in a manner similar to TSHbeta mRNA, and 64 genes decreased between e10 and e17. Although genes with these expression profiles are likely involved in development of the pituitary gland as a whole, some of these could be specifically associated with thyrotroph differentiation. Similarly, the expression profiles of 69 and 61 genes indicate a potential involvement in the induction of GH and PRL mRNA, respectively. Quantitative real-time RT-PCR was used to confirm microarray results for 31 genes. This is the first study to evaluate changes in anterior pituitary gene expression during embryonic development of any species using microarrays, and numerous transcription factors and signaling molecules not previously implicated in pituitary development were identified.

Animals↗