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At least 1,117 records · Page 62Linked to original sources
PubMed2004

Postnatal gene expression in the normal mouse cornea by SAGE.

PURPOSE: To provide a detailed gene expression profile of the normal postnatal mouse cornea. METHODS: Serial analysis of gene expression (SAGE) was performed on postnatal day (PN)9 and adult mouse (6 week) total corneas. The expression of selected genes was analyzed by in situ hybridization. RESULTS: A total of 64,272 PN9 and 62,206 adult tags were sequenced. Mouse corneal transcriptomes are composed of at least 19,544 and 18,509 unique mRNAs, respectively. One third of the unique tags were expressed at both stages, whereas a third was identified exclusively in PN9 or adult corneas. Three hundred thirty-four PN9 and 339 adult tags were enriched more than fivefold over other published nonocular libraries. Abundant transcripts were associated with metabolic functions, redox activities, and barrier integrity. Three members of the Ly-6/uPAR family whose functions are unknown in the cornea constitute more than 1% of the total mRNA. Aquaporin 5, epithelial membrane protein and glutathione-S-transferase (GST) omega-1, and GST alpha-4 mRNAs were preferentially expressed in distinct corneal epithelial layers, providing new markers for stratification. More than 200 tags were differentially expressed, of which 25 mediate transcription. CONCLUSIONS: In addition to providing a detailed profile of expressed genes in the PN9 and mature mouse cornea, the present SAGE data demonstrate dynamic changes in gene expression after eye opening and provide new probes for exploring corneal epithelial cell stratification, development, and function and for exploring the intricate relationship between programmed and environmentally induced gene expression in the cornea.

Animals↗
PubMed2002

Automated modelling of signal transduction networks.

BACKGROUND: Intracellular signal transduction is achieved by networks of proteins and small molecules that transmit information from the cell surface to the nucleus, where they ultimately effect transcriptional changes. Understanding the mechanisms cells use to accomplish this important process requires a detailed molecular description of the networks involved. RESULTS: We have developed a computational approach for generating static models of signal transduction networks which utilizes protein-interaction maps generated from large-scale two-hybrid screens and expression profiles from DNA microarrays. Networks are determined entirely by integrating protein-protein interaction data with microarray expression data, without prior knowledge of any pathway intermediates. In effect, this is equivalent to extracting subnetworks of the protein interaction dataset whose members have the most correlated expression profiles. CONCLUSION: We show that our technique accurately reconstructs MAP Kinase signaling networks in Saccharomyces cerevisiae. This approach should enhance our ability to model signaling networks and to discover new components of known networks. More generally, it provides a method for synthesizing molecular data, either individual transcript abundance measurements or pairwise protein interactions, into higher level structures, such as pathways and networks.

Computational Biology↗
PubMed2004

A computational approach for ordering signal transduction pathway components from genomics and proteomics Data.

BACKGROUND: Signal transduction is one of the most important biological processes by which cells convert an external signal into a response. Novel computational approaches to mapping proteins onto signaling pathways are needed to fully take advantage of the rapid accumulation of genomic and proteomics information. However, despite their importance, research on signaling pathways reconstruction utilizing large-scale genomics and proteomics information has been limited. RESULTS: We have developed an approach for predicting the order of signaling pathway components, assuming all the components on the pathways are known. Our method is built on a score function that integrates protein-protein interaction data and microarray gene expression data. Compared to the individual datasets, either protein interactions or gene transcript abundance measurements, the integrated approach leads to better identification of the order of the pathway components. CONCLUSIONS: As demonstrated in our study on the yeast MAPK signaling pathways, the integration analysis of high-throughput genomics and proteomics data can be a powerful means to infer the order of pathway components, enabling the transformation from molecular data into knowledge of cellular mechanisms.

Computational Biology↗
PubMed2006

Probe set algorithms: is there a rational best bet?

Affymetrix microarrays have become a standard experimental platform for studies of mRNA expression profiling. Their success is due, in part, to the multiple oligonucleotide features (probes) against each transcript (probe set). This multiple testing allows for more robust background assessments and gene expression measures, and has permitted the development of many computational methods to translate image data into a single normalized "signal" for mRNA transcript abundance. There are now many probe set algorithms that have been developed, with a gradual movement away from chip-by-chip methods (MAS5), to project-based model-fitting methods (dCHIP, RMA, others). Data interpretation is often profoundly changed by choice of algorithm, with disoriented biologists questioning what the "accurate" interpretation of their experiment is. Here, we summarize the debate concerning probe set algorithms. We provide examples of how changes in mismatch weight, normalizations, and construction of expression ratios each dramatically change data interpretation. All interpretations can be considered as computationally appropriate, but with varying biological credibility. We also illustrate the performance of two new hybrid algorithms (PLIER, GC-RMA) relative to more traditional algorithms (dCHIP, MAS5, Probe Profiler PCA, RMA) using an interactive power analysis tool. PLIER appears superior to other algorithms in avoiding false positives with poorly performing probe sets. Based on our interpretation of the literature, and examples presented here, we suggest that the variability in performance of probe set algorithms is more dependent upon assumptions regarding "background", than on calculations of "signal". We argue that "background" is an enormously complex variable that can only be vaguely quantified, and thus the "best" probe set algorithm will vary from project to project.

Algorithms↗
PubMed2001

MtnK, methylthioribose kinase, is a starvation-induced protein in Bacillus subtilis.

BACKGROUND: Methylthioadenosine, the main by-product of spermidine synthesis, is degraded in Bacillus subtilis as adenine and methylthioribose. The latter is an excellent sulfur source and the precursor of quorum-sensing signalling molecules. Nothing was known about methylthioribose recycling in this organism. RESULTS: Using trifluoromethylthioribose as a toxic analog to select for resistant mutants, we demonstrate that methylthioribose is first phosphorylated by MtnK, methylthioribose kinase, the product of gene mtnK (formerly ykrT), expressed as an operon with mtnS (formerly ykrS) in an abundant transcript with a S-box leader sequence. Although participating in methylthioribose recycling, the function of mtnS remained elusive. We also show that MtnK synthesis is boosted under starvation condition, in the following decreasing order: carbon-, sulfur- and nitrogen-starvation. We finally show that this enzyme is part of the family Pfam 01633 (choline kinases) which belongs to a large cluster of orthologs comprizing antibiotic aminoglycoside kinases and protein serine/threonine kinases. CONCLUSIONS: The first step of methylthioribose recycling is phosphorylation by MTR kinase, coded by the mtnK (formerly ykrT) gene. Analysis of the neighbourhood of mtnK demonstrates that genes located in its immediate vicinity (now named mtnUVWXYZ, formerly ykrUVWXYZ) are also required for methylthioribose recycling.

Bacillus subtilis↗
PubMed2004

Targeted mutagenesis of the Sap47 gene of Drosophila: flies lacking the synapse associated protein of 47 kDa are viable and fertile.

BACKGROUND: Conserved proteins preferentially expressed in synaptic terminals of the nervous system are likely to play a significant role in brain function. We have previously identified and molecularly characterized the Sap47 gene which codes for a novel synapse associated protein of 47 kDa in Drosophila. Sequence comparison identifies homologous proteins in numerous species including C. elegans, fish, mouse and human. First hints as to the function of this novel protein family can be obtained by generating mutants for the Sap47 gene in Drosophila. RESULTS: Attempts to eliminate the Sap47 gene through targeted mutagenesis by homologous recombination were unsuccessful. However, several mutants were generated by transposon remobilization after an appropriate insertion line had become available from the Drosophila P-element screen of the Bellen/Hoskins/Rubin/Spradling labs. Characterization of various deletions in the Sap47 gene due to imprecise excision of the P-element identified three null mutants and three hypomorphic mutants. Null mutants are viable and fertile and show no gross structural or obvious behavioural deficits. For cell-specific over-expression and "rescue" of the knock-out flies a transgenic line was generated which expresses the most abundant transcript under the control of the yeast enhancer UAS. In addition, knock-down of the Sap47 gene was achieved by generating 31 transgenic lines expressing Sap47 RNAi constructs, again under UAS control. When driven by a ubiquitously expressed yeast transcription factor (GAL4), Sap47 gene suppression in several of these lines is highly efficient resulting in residual SAP47 protein concentrations in heads as low as 6% of wild type levels. CONCLUSION: The conserved synaptic protein SAP47 of Drosophila is not essential for basic synaptic function. The Sap47 gene region may be refractory to targeted mutagenesis by homologous recombination. RNAi using a construct linking genomic DNA to anti-sense cDNA in our hands is not more effective than using a cDNA-anti-sense cDNA construct. The tools developed in this study will now allow a detailed analysis of the molecular, cellular and systemic function of the SAP47 protein in Drosophila.

Alternative Splicing↗
PubMed2006

An optimized grapevine RNA isolation procedure and statistical determination of reference genes for real-time RT-PCR during berry development.

BACKGROUND: Accuracy in quantitative real-time RT-PCR is dependent on high quality RNA, consistent cDNA synthesis, and validated stable reference genes for data normalization. Reference genes used for normalization impact the results generated from expression studies and, hence, should be evaluated prior to use across samples and treatments. Few statistically validated reference genes have been reported in grapevine. Moreover, success in isolating high quality RNA from grapevine tissues is typically limiting due to low pH, and high polyphenolic and polysaccharide contents. RESULTS: We describe optimization of an RNA isolation procedure that compensates for the low pH found in grape berries and improves the ability of the RNA to precipitate. This procedure was tested on pericarp and seed developmental series, as well as steady-state leaf, root, and flower tissues. Additionally, the expression stability of actin, AP47 (clathrin-associated protein), cyclophilin, EF1-alpha (elongation factor 1-alpha), GAPDH (glyceraldehyde 3-phosphate dehydrogenase), MDH (malate dehydrogenase), PP2A (protein phosphatase), SAND, TIP41, alpha-tubulin, beta-tubulin, UBC (ubiquitin conjugating enzyme), UBQ-L40 (ubiquitin L40) and UBQ10 (polyubiquitin) were evaluated on Vitis vinifera cv. Cabernet Sauvignon pericarp using three different statistical approaches. Although several of the genes proved to be relatively stable, no single gene outperformed all other genes in each of the three evaluation methods tested. Furthermore, the effect of using one reference gene versus normalizing to the geometric mean of several genes is presented for the expression of an aquaporin and a sucrose transporter over a developmental series. CONCLUSION: In order to quantify relative transcript abundances accurately using real-time RT-PCR, we recommend that combinations of several genes be used for normalization in grape berry development studies. Our data support GAPDH, actin, EF1-alpha and SAND as the most relevant reference genes for this purpose.

Aquaporins↗
PubMed2002

Profound effect of normalization on detection of differentially expressed genes in oligonucleotide microarray data analysis.

BACKGROUND: Oligonucleotide microarrays measure the relative transcript abundance of thousands of mRNAs in parallel. A large number of procedures for normalization and detection of differentially expressed genes have been proposed. However, the relative impact of these methods on the detection of differentially expressed genes remains to be determined. RESULTS: We have employed four different normalization methods and all possible combinations with three different statistical algorithms for detection of differentially expressed genes on a prototype dataset. The number of genes detected as differentially expressed differs by a factor of about three. Analysis of lists of genes detected as differentially expressed, and rank correlation coefficients for probability of differential expression shows that a high concordance between different methods can only be achieved by using the same normalization procedure. CONCLUSIONS: Normalization has a profound influence of detection of differentially expressed genes. This influence is higher than that of three subsequent statistical analysis procedures examined. Algorithms incorporating more array-derived information than gene-expression values alone are urgently needed.

Animals↗
PubMed2005

A DNA microarray survey of gene expression in normal human tissues.

BACKGROUND: Numerous studies have used DNA microarrays to survey gene expression in cancer and other disease states. Comparatively little is known about the genes expressed across the gamut of normal human tissues. Systematic studies of global gene-expression patterns, by linking variation in the expression of specific genes to phenotypic variation in the cells or tissues in which they are expressed, provide clues to the molecular organization of diverse cells and to the potential roles of the genes. RESULTS: Here we describe a systematic survey of gene expression in 115 human tissue samples representing 35 different tissue types, using cDNA microarrays representing approximately 26,000 different human genes. Unsupervised hierarchical cluster analysis of the gene-expression patterns in these tissues identified clusters of genes with related biological functions and grouped the tissue specimens in a pattern that reflected their anatomic locations, cellular compositions or physiologic functions. In unsupervised and supervised analyses, tissue-specific patterns of gene expression were readily discernable. By comparative hybridization to normal genomic DNA, we were also able to estimate transcript abundances for expressed genes. CONCLUSIONS: Our dataset provides a baseline for comparison to diseased tissues, and will aid in the identification of tissue-specific functions. In addition, our analysis identifies potential molecular markers for detection of injury to specific organs and tissues, and provides a foundation for selection of potential targets for selective anticancer therapy.

Cluster Analysis↗
PubMed2006

Genomic features of Bordetella parapertussis clades with distinct host species specificity.

BACKGROUND: The respiratory pathogen Bordetella parapertussis is a valuable model in which to study the complex phenotype of host specificity because of its unique two-species host range. One subset of strains, including the sequenced representative, causes whooping cough in humans, while other strains infect only sheep. The disease process in sheep is not well understood, nor are the genetic and transcriptional differences that might provide the basis for host specificity among ovine and human strains. RESULTS: We found 40 previously unknown genomic regions in an ovine strain of B. parapertussis using subtractive hybridization, including unique lipopolysaccharide genes. A microarray survey of the gene contents of 71 human and ovine strains revealed further differences, with 47 regions of difference distinguishing the host-restricted subgroups. In addition, sheep and human strains displayed distinct whole-genome transcript abundance profiles. We developed an animal model in which sheep were inoculated with a sheep strain, human strain, or mixture of the two. We found that the ovine strain persisted in the nasal cavity for 12 to 14 days, while the human strain colonized at lower levels and was no longer detected by 7 days post-inoculation. The ovine strain induced less granulocyte infiltration of the nasal mucosa. CONCLUSION: Several factors may play a role in determining host range of B. parapertussis. Human- and ovine-associated strains have differences in content and sequence of genes encoding proteins that mediate host-pathogen contact, such as lipopolysaccharide and fimbriae, as well as variation in regulation of toxins, type III secretion genes, and other virulence-associated genes.

Animals↗
PubMed2005

Growth hormone increases hsc70/hsp70 expression and protects against apoptosis in whole blood preparations from silver sea bream.

Preparations of whole blood, from silver sea bream (Sparus sarba), were used for heat shock protein 70 (hsp70) and apoptosis studies. It was found that the expression of both gene members of the hsp70 family (hsc70 and hsp70) were upregulated during acute heat shock. The transcript abundance of both of these genes was increased when cells were exposed to growth hormone (GH) at concentrations of 10 and 100 ng/mL. It was also found that GH at concentrations of 10 and 100 ng/mL could protect whole blood from camptothecin-induced apoptosis as determined by DNA fragmentation analysis.

Animals↗
PubMed2006

Identification of novel genes regulated by chorionic gonadotropin in baboon endometrium during the window of implantation.

Chorionic gonadotropin (CG) is an early embryo-derived signal that is known to support the corpus luteum. An in vivo baboon model was used to study the direct actions of human CG (hCG) on the endometrium, during the periimplantation period. Endometrial gene expression was analyzed using microarrays. The endometrial biopsies were taken from hCG-treated (n = 5) and control (n = 6) animals on d 10 after ovulation. Class comparison identified 61 genes whose transcript levels differed between control and hCG-treated samples (48 increased, 13 decreased in mean expression level more than 2.5-fold; P < 0.01). Real-time PCR of transcript abundance confirmed up-regulation of several of these, including SerpinA3, matrix metalloproteinase 7, leukemia inhibitory factor (LIF), IL-6, and Complement 3 (P </= 0.05). Analysis of protein abundance in endometrial flushings showed increased LIF and IL-6 protein in uterine flushings from hCG-treated animals compared with controls. Complement C3 and Superoxide dismutase 2 that were also up-regulated, were further evaluated by immunocytochemistry. Complement C3 showed a marked increase in stromal staining in response to hCG, whereas and superoxide dismutase 2 localization was most markedly increased in the glandular epithelial cells. Expression of Soluble Frizzled Related Protein 4, the most highly down-regulated gene, was also validated by PCR. Our experiments have shown that hCG induces alterations in the endometrial expression of genes that regulate embryo attachment, extracellular matrix remodeling and the modulation of the immune response around the implanting blastocyst. Several of these genes, including LIF and gp130, have been shown to be essential for implantation in other species. This study provides strong evidence that the preimplantation embryo itself influences the development of the receptive endometrium via secreted paracrine signals.

Animals↗
PubMed1991

Thymosin gene expression is modulated by pregnant mare's serum gonadotropin, human chorionic gonadotropin, and prostaglandin F2 alpha in the immature rat ovary.

We have investigated thymosin beta 10 mRNA levels in the PMSG/hCG-treated immature rat ovary. Thymosin beta 10 mRNA was constitutively expressed as a single (greater than 600-nucleotide) abundant transcript in the immature rat ovary. Administration of a single dose (50 IU/rat) of PMSG to immature rats resulted in a gradual increase in steady state ovarian thymosin beta 10 mRNA content detectable as early as 12 h and maximal (2-to 3-fold stimulation above preinjection levels) 48 h after PMSG treatment. Ovarian thymosin beta 10 mRNA levels declined thereafter. In separate experiments treatment of PMSG (50 IU)-primed rats with hCG (25 IU) precipitated a dramatic (80%) inhibition of ambient ovarian thymosin beta 10 protein and thymosin beta 10 mRNA; both parameters remained suppressed for the duration of the hormone-induced pseudopregnancy (15 days). HPLC analysis also indicated the presence in the ovary of thymosin beta 4, a variant member of the same protein family; in general, ovarian thymosin beta 4 levels fluctuated in a manner reciprocal to that exhibited by thymosin beta 10. A luteolytic dose of prostaglandin F2 alpha (500 micrograms/rat) had little impact on ovarian thymosin beta 10 gene expression. These findings show that 1) PMSG stimulation of ovarian thymosin beta 10 biosynthesis involves increased expression of the thymosin beta 10 gene; 2) decreased expression of thymosin beta 10 is associated with luteinization, while increased thymosin beta 4 levels characterize this process; and that 3) thymosin beta 4 and beta 10 are coexpressed in this tissue and may play a significant but, as of yet, undefined role(s) in the ovary.

Animals↗
PubMed1994

Altered gene expression for tumor necrosis factor-alpha and its receptors during drug and dietary modulation of insulin resistance.

As obesity is a major risk factor for noninsulin-dependent diabetes mellitus, adipose tissue may generate a mediator that influences the activity of insulin on various target tissues. Recent evidence suggests that a cytokine, tumor necrosis factor-alpha (TNF alpha), may serve this role. This study investigates whether the expression of TNF alpha and its receptors is modulated during drug treatment to reduce insulin resistance. The effects of moderate weight loss by dietary restriction were also examined. We show here that a marked induction of TNF alpha mRNA occurs in adipose tissues from a mouse model of obesity-linked diabetes (KKAy) compared to that in nondiabetic mice (C57). Likewise, RNA transcripts encoding TNF R2 receptors (p75) were significantly increased in fat tissues of the obese diabetic animals. In muscle from these diabetic animals, RNA transcripts encoding both TNF R1 (p55) and R2 were significantly elevated, although R2 transcript abundance was less elevated than in fat. We also observed that the overexpression of mRNA for TNF alpha and both of its receptors could be at least partly normalized by treatment of the diabetic animals with the insulin-sensitizing agent pioglitazone. Treating of the obese diabetic animals by food restriction reduced the expression of mRNA for TNF R2 in muscle, but not fat. These results clearly indicate that gene expression for the TNF systems can be regulated by an insulin-sensitizing drug and reduction of body weight. Such findings support a role for this cytokine in the insulin-resistant diabetic state and show its modulation by therapies that reverse the disorder.

Animals↗
PubMed1994

Stimulation of glucagon-like peptide-1 secretion by muscarinic agonist in a murine intestinal endocrine cell line.

Studies on the cholinergic regulation of intestinal L-cells have been focused on the release of enteroglucagon, but the signal transduction pathways were not defined. These were here investigated by using as index the release of immunoreactive glucagon-like peptide-1 (GLP-1) from the endocrine cell line STC-1, that has been shown to contain proglucagon mRNA transcripts. Abundant GLP-1 immunoreactivity was revealed in STC-1 cells at immunocytochemistry and by RIA. The cell content was 4927 +/- 689 pg/10(6) cells, as measured with antiserum 199D that recognizes specifically the C-terminal amidated forms of GLP-1. The secretion of GLP-1 over a 2-h incubation period amounted to 1.4 +/- 0.3% of the total GLP-1 cell content and was significantly increased by 10 microM forskolin and 100 nM 12-O-tetradecanoylphorbol 13-acetate to 206% and 574% of control values, respectively. The cholinergic agonist carbachol stimulated GLP-1 secretion in a concentration-dependent manner, maximal release was observed at 1 mM carbachol (228% of the control value). Binding of the muscarinic antagonist [N-methyl-]scopolamine ([3H]NMS) on cell homogenates was time dependent, specific, and saturable. Scatchard analysis revealed one class of receptors (Kd, 14 pM; binding capacity, 20 fmol/mg protein). Carbachol (0.1 microM to 1 mM) dose dependently displaced [3H] NMS binding and increased the intracellular calcium concentration without modification of adenylate cyclase activity. The order of potency of different antagonists, showing a preferential affinity for M1, M2, and M3 muscarinic receptor subtypes, to inhibit [3H]NMS binding, the carbachol-induced increase in intracellular calcium, and carbachol-stimulated GLP-1 secretion, was as follows: atropine (nonselective) > 4-diphenylacetoxy-N-methylpiperidine methiodide (M3) > pirenzepine (M1) > AF-DX 116 (M2). The results of the present study, therefore, demonstrate that secretion of GLP-1 induced by cholinergic agonist depends on muscarinic M3-subtype receptors in the endocrine intestinal cell line STC-1. This system may prove useful to study the cellular mechanisms of GLP-1 secretion.

Calcium↗
PubMed1994

Expression of the genes encoding the insulin-like growth factors (IGF-I and II), the IGF and insulin receptors, and IGF-binding proteins-1-6 and the localization of their gene products in normal and polycystic ovary syndrome ovaries.

To discern the potential role of the insulin-like growth factors (IGFs) in polycystic ovary syndrome (PCOS), we examined the expression of the genes encoding the IGFs, IGF receptors (IGFr), insulin receptor (Ir), and IGF-binding proteins (IGFBPs-1-6) as well as the localization of the gene products in specific cellular compartments of normal and PCOS human ovaries. Messenger ribonucleic acid (mRNA) was localized by in situ hybridization with specific 35S-labeled human antisense RNA probes, and protein was detected by immunohistochemistry using specific antisera. Thecal cells, but not granulosa cells (GC), of small antral follicles (3-6 mm) from PCOS ovaries expressed both IGF-I and IGF-II transcripts. Abundant IGF-Ir mRNA was found only in GC, IGF-IIr mRNA was found in both granulosa and thecal cells, and Ir mRNA was detected in all cell types, including granulosa, thecal, and stromal cells. Localization of the gene products revealed no IGF-I immunoreactivity; however, immunostaining for each of the other gene products was colocalized with its corresponding mRNA. The cellular distribution of mRNA and protein in PCOS follicles was indistinguishable from that observed in small antral follicles from normal ovaries. In dominant follicles, however, IGF-I mRNA was no longer detectable, but abundant IGF-II mRNA was expressed exclusively in GC. Although IGF-Ir mRNA was expressed in GC, IGF-IIr mRNA was found in both granulosa and thecal cells. In follicles taken from PCOS ovaries, no IGFBP-1 mRNA was detected, IGFBP-2 mRNA was abundant in both granulosa and thecal cells, moderate IGFBP-3 mRNA was found only in thecal cells, IGFBP-4 and -5 mRNAs were present in all cellular compartments, and IGFBP-6 mRNA was not detected. Localization of the gene products by immunostaining revealed that each protein colocalized with its corresponding mRNA. The cellular distribution of IGFBP mRNA and protein in PCOS follicles was also indistinguishable from that in small antral follicles of normal ovaries, but remarkable differences were found in dominant follicles, where abundant IGFBP-1 mRNA was seen exclusively in GC, IGFBP-2 mRNA in thecal cells, and IGFBP-3 mRNA in both granulosa and thecal cells. Moderate expression of the IGFBP-4 and IGFBP-5 genes was seen in all cell types, including stromal cells, but no IGFBP-6 mRNA was detected. Again, each of the gene products colocalized with its corresponding mRNA. We conclude the following.(ABSTRACT TRUNCATED AT 400 WORDS)

Adult↗
PubMed2001

Aberrant expression of Cyr61, a member of the CCN (CTGF/Cyr61/Cef10/NOVH) family, and dysregulation by 17 beta-estradiol and basic fibroblast growth factor in human uterine leiomyomas.

Uterine leiomyomas are the most common tumors of the reproductive tract, afflicting women between the ages of 30--55 yr. Although considered to be the leading cause of hysterectomies in the United States, little is known of the etiology and mechanisms of pathogenesis in leiomyomas. Accordingly, rapid analysis of differential expression (RADE) was employed to identify genes that are abnormally expressed in leiomyomas. Of the several genes identified, Cyr61, a member of the CCN family of growth and angiogenic regulators, was shown to be markedly down-regulated at the messenger ribonucleic acid (mRNA) and protein levels in leiomyoma tumors compared with the matched uterine myometrial controls (n = 38). In addition, in situ hybridization experiments corroborated the lack of Cyr61 expression in leiomyoma cells, whereas abundant transcript levels were identified in adjacent myometrial smooth muscle cells. To elucidate the mechanisms of Cyr61 gene regulation in leiomyomas, we determined the effects of ovarian steroids, basic fibroblast growth factor (bFGF), and serum, on Cyr61 expression using an ex vivo culture system. Treatment of human myometrial explants with 17 beta-estradiol and bFGF up-regulated Cyr61 transcripts, whereas the progesterone receptor agonist, R5020 (alone or in combination with 17 beta-estradiol), had no effect. Paradoxically, neither 17 beta-estradiol nor bFGF was capable of up-regulating Cyr61 mRNA in leiomyoma explants despite elevated levels of ER alpha mRNA, suggesting a possible defect in steroid and growth factor regulation. Thus, dysregulation of Cyr61 by estrogen and bFGF may contribute to down-regulation of Cyr61 in leiomyomas, which, in turn, may predispose uterine smooth muscle cells toward sustained growth.

Adult↗
PubMed1988

Cloning of a gene encoding an antigen associated with the centrosome in Drosophila.

The monoclonal antibody Bx63 recognizes a centrosomal antigen of Drosophila melanogaster by indirect immunofluorescence and identifies two proteins, with apparent molecular weights of 185 x 10(3) and 66 x 10(3), on Western blots. We have used this antibody to isolate five clones (lambda cs1, -2, -3, -4 and lambda j63) from lambda gt11 expression libraries of Drosophila DNA. Using polyclonal anti-centrosomal sera raised against both immunoaffinity-purified Bx63 antigen and electrophoretically purified fusion protein from clone lambda cs3, we have demonstrated that the fusion proteins encoded by four of these clones (lambda cs1-4) share at least two epitopes with the 185 x 10(3) Mr centrosomal antigen. This indicates that clones lambda cs1-4 contain DNA from the gene coding for this protein. The four clones are independent isolates from a single chromosomal site, which we show by in situ hybridization to correspond with salivary gland chromosome region 88E 4-8. A low-abundance transcript of approximately 4.0 x 10(3) bases corresponding to the cloned gene is detected in all stages of the Drosophila life-cycle.

Animals↗