891 resultados para I Gene-expression


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Induction of interferon-beta (IFN-beta) gene expression is a tightly regulated process, and a plethora of studies identified the signal transduction pathway TANK-binding kinase-1 (TBK-1)/IFN regulatory factor-3 (IRF-3) as essential to the induction of IFN-beta gene expression. Data regarding the role of p38 and JNK are rare, however. We investigated the contribution of these kinases to IFN-beta expression in human macrophages treated with poly(I:C), lipopolysaccharide (LPS), Sendai virus, or vesicular stomatitis virus (VSV). We found that all the stimuli induced IFN-beta mRNA, albeit to a different extent. Whereas LPS and VSV induced the phosphorylation of p38 and JNK, neither poly(I:C) nor Sendai virus led to the detection of phosphospecific signals. When inhibiting p38, a VSV-triggered IFN-beta mRNA response was inhibited, whereas inhibiting JNK suppressed an LPS-triggered response, but only when macrophages were primed with IFN-gamma. Neither poly(I:C)-induced nor Sendai virus-induced IFN-beta mRNA expression was affected when p38 and JNK were inhibited. Collectively, the data show that the contribution of p38 and JNK to the expression of IFN-beta occurs in a stimulation-specific manner in human macrophages.

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A number of molecular tools enable us to study the mechanisms of muscle plasticity. Ideally, this research is conducted in view of the structural and functional consequences of the exercise-induced changes in gene expression. Muscle cells are able to detect mechanical, metabolic, neuronal and hormonal signals which are transduced over multiple pathways to the muscle genome. Exercise activates many signaling cascades--the individual characteristic of the stress leading to a specific response of a network of signaling pathways. Signaling typically results in the transcription of multiple early genes among those of the well known for and jun family, as well as many other transcription factors. These bind to the promoter regions of downstream genes initiating the structural response of muscle tissue. While signaling is a matter of minutes, early genes are activated over hours leading to a second wave of transcript adjustments of structure genes that can then be effective over days. Repeated exercise sessions thus lead to a concerted accretion of mRNAs which upon translation results in a corresponding protein accretion. On the structural level, the protein accretion manifests itself for instance as an increase in mitochondrial volume upon endurance training or an increase in myofibrillar proteins upon strength training. A single exercise stimulus carries a molecular signature which is typical both for the type of stimulus (i.e. endurance vs. strength) as well as the actual condition of muscle tissue (i.e. untrained vs. trained). Likewise, it is clearly possible to distinguish a molecular signature of an expressional adaptation when hypoxic stress is added to a regular endurance exercise protocol in well-trained endurance athletes. It therefore seems feasible to use molecular tools to judge the properties of an exercise stimulus much earlier and at a finer level than is possible with conventional functional or structural techniques.

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Different life-cycle stages of Trypanosoma brucei are characterized by stage-specific glycoprotein coats. GPEET procyclin, the major surface protein of early procyclic (insect midgut) forms, is transcribed in the nucleolus by RNA polymerase I as part of a polycistronic precursor that is processed to monocistronic mRNAs. In culture, when differentiation to late procyclic forms is triggered by removal of glycerol, the precursor is still transcribed, but accumulation of GPEET mRNA is prevented by a glycerol-responsive element in the 3' UTR. A genome-wide RNAi screen for persistent expression of GPEET in glycerol-free medium identified a novel protein, NRG1 (Nucleolar Regulator of GPEET 1), as a negative regulator. NRG1 associates with GPEET mRNA and with several nucleolar proteins. These include two PUF proteins, TbPUF7 and TbPUF10, and BOP1, a protein required for rRNA processing in other organisms. RNAi against each of these components prolonged or even increased GPEET expression in the absence of glycerol as well as causing a significant reduction in 5.8S rRNA and its immediate precursor. These results indicate that components of a complex used for rRNA maturation can have an additional role in regulating mRNAs that originate in the nucleolus.

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Brain tumor is one of the most aggressive types of cancer in humans, with an estimated median survival time of 12 months and only 4% of the patients surviving more than 5 years after disease diagnosis. Until recently, brain tumor prognosis has been based only on clinical information such as tumor grade and patient age, but there are reports indicating that molecular profiling of gliomas can reveal subgroups of patients with distinct survival rates. We hypothesize that coupling molecular profiling of brain tumors with clinical information might improve predictions of patient survival time and, consequently, better guide future treatment decisions. In order to evaluate this hypothesis, the general goal of this research is to build models for survival prediction of glioma patients using DNA molecular profiles (U133 Affymetrix gene expression microarrays) along with clinical information. First, a predictive Random Forest model is built for binary outcomes (i.e. short vs. long-term survival) and a small subset of genes whose expression values can be used to predict survival time is selected. Following, a new statistical methodology is developed for predicting time-to-death outcomes using Bayesian ensemble trees. Due to a large heterogeneity observed within prognostic classes obtained by the Random Forest model, prediction can be improved by relating time-to-death with gene expression profile directly. We propose a Bayesian ensemble model for survival prediction which is appropriate for high-dimensional data such as gene expression data. Our approach is based on the ensemble "sum-of-trees" model which is flexible to incorporate additive and interaction effects between genes. We specify a fully Bayesian hierarchical approach and illustrate our methodology for the CPH, Weibull, and AFT survival models. We overcome the lack of conjugacy using a latent variable formulation to model the covariate effects which decreases computation time for model fitting. Also, our proposed models provides a model-free way to select important predictive prognostic markers based on controlling false discovery rates. We compare the performance of our methods with baseline reference survival methods and apply our methodology to an unpublished data set of brain tumor survival times and gene expression data, selecting genes potentially related to the development of the disease under study. A closing discussion compares results obtained by Random Forest and Bayesian ensemble methods under the biological/clinical perspectives and highlights the statistical advantages and disadvantages of the new methodology in the context of DNA microarray data analysis.

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Retinoic acid is a small lipophilic molecule that exerts profound effects on the growth and differentiation of both normal and transformed cells. It is also a natural morphogen that is critical in the development of embryonic structures. The molecular effects of retinoic acid involve alterations in the expression of several proteins and these changes are presumably mediated in part by alterations in gene expression. For instance, retinoic acid causes a rapid induction of tissue transglutaminase, an enzyme involved in protein cross-linking. The molecular mechanisms responsible for the effects of retinoic acid on gene expression have not been characterized. To approach this question, I have isolated and characterized tissue transglutaminase of cDNA clones. The deduced amino acid sequences of tissue transglutaminase and of factor XIIIa showed a relatively high degree of homology in their putative calcium binding domains.^ To explore the mechanism of induction of this enzyme, both primary (macrophages) and cultured cells (Swiss 3T3-C2 and CHO fibroblasts) were used. I found that retinoic acid is a general inducer of tissue transglutaminase mRNA in these cells. In murine peritoneal macrophages retinoic acid causes a rapid accumulation of this mRNA and this effect is independent of concurrent protein synthesis. The retinoic acid effect is not mediated by a post-transcriptional increase in the stability of the tissue transglutaminase mRNA, but appears to involve an increase in the transcription rate of the tissue transglutaminase gene. This provides the first example of regulation by retinoic acid of a specific gene, supporting the hypothesis that these molecules act by directly regulating the transcriptional activity of specific genes. A molecular model for the effects of retinoic acid on the expression of genes linked to cellular proliferation and differentiation is proposed. ^

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Cell differentiation are associated with activation of cell lineage-specific genes. The $LpS{\it 1}\beta$ gene of Lytechinus pictus is activated at the late cleavage stage. $LpS{\it 1}\beta$ transcripts accumulate exclusively in aboral ectoderm lineages. Previous studies demonstrated two G-string DNA-elements, proximal and distal G-strings, which bind to an ectoderm-enriched nuclear factor. In order to define the cis-elements which control positive expression of the $LpS{\it 1}\beta$ gene, the regulatory region from $-$108 to +17 bp of the $LpS{\it 1}\beta$ gene promoter was characterized. The ectoderm G-string factor binds to a G/C-rich region larger than the G-string itself and the binding of the G-string factor requires sequences immediately downstream from the G-string. These downstream sequences are essential for full promoter activity. In addition, only 108 bp of $LpS{\it 1}\beta\ 5\sp\prime$ flanking DNA drives $LpS{\it 1}\beta$ gene expression in aboral ectoderm/mesenchyme cells. Therefore, for positive control of $LpS{\it 1}\beta$ gene expression, two regions of 5$\sp\prime$ flanking DNA are required: region I from base pairs $-$762 to $-$511, and region II, which includes the G/C-rich element, from base pairs $-$108 to $-$61. A mesenchyme cell repressor element is located within region I.^ DNA-binding proteins play key roles in determination of cell differentiation. The zinc finger domain is a DNA-binding domain present in many transcription factors. Based on homologies in zinc fingers, a zinc finger-encoding gene, SpKrox-1, was cloned from S. purpuratus. The putative SpKrox-1 protein has all structural characteristics of a transcription factor: four zinc fingers for DNA binding; acidic domain for transactivation; basic domain for nuclear targeting; and leucine zipper for dimerization. SpKrox-1 RNA transcripts showed a transient expression pattern which correlates largely with early embryonic development. The spatial expression of SpKrox-1 mRNA was distributed throughout the gastrula and larva ectodermal wall. However, SpKrox-1 was not expressed in pigment cells. The SpKrox-1 gene is thus a marker of a subset of SMCs or ectoderm cells. The structural features, and the transient temporal and restricted spatial expression patterns suggest that SpKrox-1 plays a role in a specific developmental event. ^

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Bacillus anthracis plasmid pXO1 carries genes for three anthrax toxin proteins, pag (protective antigen), cya (edema factor), and lef (lethal factor). Expression of the toxin genes is enhanced by two signals: CO$\sb2$/bicarbonate and temperature. The CO$\sb2$/bicarbonate effect requires the presence of pXO1. I hypothesized that pXO1 harbors a trans-acting regulatory gene(s) required for CO$\sb2$/bicarbonate-enhanced expression of the toxin genes. Characterization of such a gene(s) will lead to increased understanding of the mechanisms by which B. anthracis senses and responds to host environments.^ A regulatory gene (atxA) on pXO1 was identified. Transcription of all three toxin genes is decreased in an atxA-null mutant. There are two transcriptional start sites for pag. Transcription from the major site, P1, is enhanced in elevated CO$\sb2$. Only P1 transcripts are significantly decreased in the atxA mutant. Deletion analysis of the pag upstream region indicates that the 111-bp region upstream of the P1 site is sufficient for atxA-mediated increase of this transcript. The cya and lef genes each have one apparent transcriptional start site. The cya and lef transcripts are significantly decreased in the atxA mutant. The atxA mutant is avirulent in mice. The antibody response to all three toxin proteins is significantly decreased in atxA mutant-infected mice. These data suggest that the atxA gene product activates expression of the toxin genes and is essential for virulence.^ Since expression of the toxin genes is dependent on atxA, whether increased toxin gene expression in response to CO$\sb2$/bicarbonate and temperature is associated with increased atxA expression was investigated. I monitored steady state levels of atxA mRNA and AtxA protein in different growth conditions. The results indicate that expression of atxA is not influenced by CO$\sb2$/bicarbonate. Steady state levels of atxA mRNA and AtxA protein are higher at 37$\sp\circ$C than 28$\sp\circ$C. However, increased pag expression at high temperature can not be attributed directly to increased atxA expression.^ There is evidence that an additional factor(s) may be involved in regulation of pag. Expression of pag in strains overproducing AtxA is significantly decreased compared to the wildtype strain. A specific interaction of tagged-AtxA with the pag upstream DNA has not been demonstrated. Furthermore, four proteins in B. anthracis extract can be co-immunoprecipitated with tagged-AtxA. Amino-terminal sequence of one protein has been determined and found highly homologous to chaperonins of GroEL family. Studies are under way to determine if this GroEL-like protein interactions with AtxA and plays any role in atxA-mediated activation of toxin genes. ^

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Retinoic acid regulates cellular growth and differentiation by altering the expression of specific sets of genes, but the molecular mechanism by which this is achieved is unknown. We have used the rapid induction of a specific enzyme, tissue transglutaminase in mouse macrophages, human leukemia cells and a variety of other cell types to study the regulation of gene expression by retinoic acid. Soluble retinoic acid binding proteins, such as cellular Retinoic Acid Binding Protein (cRABP), have been proposed as specific mediators of retinoic acid regulation of gene expression. This thesis demonstrates the lack of cRABP in a number of cell lines which are sensitive to retinoic acid regulation of tissue transglutaminase expression. These cells are also devoid of other soluble retinoic acid binding activity. The level of retinoic acid binding activity that could have been detected (6 fmol) is far below that of most cells and tissues which are sensitive to the effects of retinoic acid on growth and differentiation. A mouse melanoma cell line, S91-C2, was found to contain an unusual retinoic acid binding protein which has a lower affinity for retinoic acid than mouse tissue cRABP and also behaves differently on gel filtration HPLC chromatography.^ The induction of tissue transglutaminase by retinoic acid in macrophages is specifically inhibited by pertussis toxin. Pertussis toxin ADP-riblosylates membrane GTP-binding proteins such as N(,i) and interferes with signalling from plasma membrane receptors to regulatory enzymes. Pertussis toxin inhibition of transglutaminase induction is due to inhibition of tissue transglutaminase mRNA accumulation and is paralleled by the ADP-ribosylation of a 41,000 dalton macrophage membrane protein. It is concluded that soluble retinoic acid binding proteins are not essential for retinoic acid induction of tissue transglutaminase and that a membrane GTP-binding protein is closely linked to the sensitive response of macrophages to retinoic acid. ^

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Senescence is a form of programmed cell death (PCD) which leads to the death of whole organs, e.g., leaves or flowers, and eventually to the death of entire plants. Like all forms of PCD, senescence is a highly regulated and energy consuming process. Senescence parameters, like protein content, chlorophyll content, expression of photosynthesis-associated genes or senescence-associated genes (SAGs), reveal that senescence occurs in old leaves derived from young plants (6 week old) as well as in young leaves derived from older plants (8 week old), indicating that it is governed by the actual age of the leaves. in order to analyse the differential gene expression profiles during leaf senescence, hybridizations of high-density genome arrays were performed with: i) individual leaves within the rosette of a 6-week-old plant and ii) leaves of the same position within the rosette but harvested from plants of different ages, ranging from 5 to 8 weeks. Cluster and genetree analyses, according to the expression pattern revealed that genes which are up-regulated with respect to the age of the entire plant, showed completely different expression profiles with respect to the age of the individual leaves within one rosette. This was observed even though the actual difference in leaf age was approximately the same. This indicates that gene expression appears to be governed by different parameters: i) the age of the individual leaf and ii) the age and developmental stage of the entire plant.

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Genome-wide microarrays have suggested that Emdogain regulates TGF-β target genes in gingival and palatal fibroblasts. However, definitive support for this contention and the extent to which TGF-β signaling contributes to the effects of Emdogain has remained elusive. We therefore studied the role of the TGF-β receptor I (TGF-βRI) kinase to mediate the effect of Emdogain on palatal fibroblasts. Palatal fibroblasts were exposed to Emdogain with and without the inhibitor for TGF-βRI kinase, SB431542. Emdogain caused 39 coding genes to be differentially expressed in palatal fibroblasts by microarray analysis (p<0.05; >10-fold). Importantly, in the presence of the TGF-βRI kinase inhibitor SB431542, Emdogain failed to cause any significant changes in gene expression. Consistent with this mechanism, three independent TGF-βRI kinase inhibitors and a TGF-β neutralizing antibody abrogated the increased expression of IL-11, a selected Emdogain target gene. The MAPK inhibitors SB203580 and U0126 lowered the impact of Emdogain on IL-11 expression. The data support that TGF-βRI kinase activity is necessary to mediate the effects of Emdogain on gene expression in vitro.

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Acute psychosocial stress stimulates transient increases in circulating pro-inflammatory plasma cytokines, but little is known about stress effects on anti-inflammatory cytokines or underlying mechanisms. We investigated the stress kinetics and interrelations of pro- and anti-inflammatory measures on the transcriptional and protein level. Forty-five healthy men were randomly assigned to either a stress or control group. While the stress group underwent an acute psychosocial stress task, the second group participated in a non-stress control condition. We repeatedly measured before and up to 120min after stress DNA binding activity of the pro-inflammatory transcription factor NF-κB (NF-κB-BA) in peripheral blood mononuclear cells, whole-blood mRNA levels of NF-κB, its inhibitor IκBα, and of the pro-inflammatory cytokines interleukin (IL)-1ß and IL-6, and the anti-inflammatory cytokine IL-10. We also repeatedly measured plasma levels of IL-1ß, IL-6, and IL-10. Compared to non-stress, acute stress induced significant and rapid increases in NF-κB-BA and delayed increases in plasma IL-6 and mRNA of IL-1ß, IL-6, and IκBα (p's<.045). In the stress group, significant increases over time were also observed for NF-κB mRNA and plasma IL-1ß and IL-10 (p's<.055). NF-κB-BA correlated significantly with mRNA of IL-1β (r=.52, p=.002), NF-κB (r=.48, p=.004), and IκBα (r=.42, p=.013), and marginally with IL-6 mRNA (r=.31, p=.11). Plasma cytokines did not relate to NF-κB-BA or mRNA levels of the respective cytokines. Our data suggest that stress induces increases in NF-κB-BA that relate to subsequent mRNA expression of pro-inflammatory, but not anti-inflammatory cytokines, and of regulatory-cytoplasmic-proteins. The stress-induced increases in plasma cytokines do not seem to derive from de novo synthesis in circulating blood cells.

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BACKGROUND: Demineralized bone matrix (DBM) is used for the treatment of osseous defects. Conditioned medium from native bone chips can activate transforming growth factor (TGF)-β signaling in mesenchymal cells. The aim of the study was to determine whether processing of native bone into DBM affects the activity of the conditioned medium. METHODS: Porcine cortical bone blocks were subjected to defatting, different concentrations of hydrochloric acid and various temperatures. DBM was lyophilized, ground, and placed into culture medium. Human gingiva and periodontal fibroblasts were exposed to the respective conditioned medium (DBCM). Changes in the expression of TGF-β target genes were determined. RESULTS: DBCM altered the expression of TGF-β target genes, e.g., adrenomedullin, pentraxin 3, KN Motif And Ankyrin Repeat Domains 4, interleukin 11, NADPH oxidase 4, and BTB (POZ) Domain Containing 11, by at least five-fold. The response was observed in fibroblasts from both sources. Defatting lowered the activity of DBCM. The TGF-β receptor type I kinase inhibitor SB431542, but not the inhibitor of bone morphogenetic protein receptor dorsomorphin, blocked the effects of DBCM on gene expression. Moreover, conditioned medium obtained from commercial human DBM modulated the expression of TGF-β target genes. CONCLUSION: The findings suggest that the conditioned medium from demineralized bone matrix can activate TGF-β signaling in oral fibroblasts. KEYWORDS: TGF-beta superfamily proteins; bone; bone substitutes; bone transplantation; conditioned media; freeze drying

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Expression of the structural genes for the anthrax toxin proteins is coordinately controlled by host-related signals such as elevated CO2 , and the trans-acting positive regulator, AtxA. No specific binding of AtxA to the toxin gene promoters has been demonstrated and no sequence-based similarities are apparent in the promoter regions of toxin genes. We hypothesized that the toxin genes possess common structural features that are required for positive regulation. To test this hypothesis, I performed an extensive characterization of the toxin gene promoters. I determined the minimal sequences required for atxA-mediated toxin gene expression and compared these sequences for structural similarities. In silico modeling and in vitro experiments indicated significant curvature within these regions. Random mutagenesis revealed that point mutations associated with reduced transcriptional activity, mostly mapped to areas of high curvature. This work enabled the identification of two potential cis-acting elements implicated in AtxA-mediated regulation of the toxin genes. In addition to the growth condition requirements and AtxA, toxin gene expression is under growth phase regulation. The transition state regulator AbrB represses atxA expression to influence toxin synthesis. Here I report that toxin gene expression also requires sigH, a gene encoding the RNA polymerase sigma factor associated with development in B. subtilis. In the well-studied B. subtilis system, σH is part of a feedback control pathway that involves AbrB and the major response regulator of sporulation initiation, Spo0A. My data indicate that in B. anthracis, regulatory relationships exist between these developmental regulators and atxA . Interestingly, during growth in toxin-inducing conditions, sigH and abrB expression deviates from that described for B. subtilis, affecting expression of the atxA gene. These findings, combined with previous observations, suggest that the steady state level of atxA expression is critical for optimal toxin gene transcription. I propose a model whereby, under toxin-inducing conditions, control of toxin gene expression is fine-tuned by the independent effects of the developmental regulators on the expression of atxA . The growth condition-dependent changes in expression of these regulators may be crucial for the correct timing and uninterrupted expression of the toxin genes during infection. ^

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The susceptibility of most Bacillus anthracis strains to β-lactam antibiotics is intriguing considering that the B. anthracis genome harbors two β-lactamase genes, bla1 and bla2, and closely-related species, Bacillus cereus and Bacillus thuringiensis, typically produce β-lactamases. This work demonstrates that B. anthracis bla expression is affected by two genes, sigP and rsp, predicted to encode an extracytoplasmic function sigma factor and an antisigma factor, respectively. Deletion of the sigP/rsp locus abolished bla expression in a penicillin-resistant clinical isolate and had no effect on bla expression in a prototypical penicillin-susceptible strain. Complementation with sigP/rsp from the penicillin-resistant strain, but not the penicillin-susceptible strain, conferred β-lactamase activity upon both mutants. These results are attributed to a nucleotide deletion near the 5' end of rsp in the penicillin-resistant strain that is predicted to result in a nonfunctional protein. B. cereus and B. thuringiensis sigP and rsp homologues are required for inducible penicillin resistance in those species. Expression of the B. cereus or B. thuringiensis sigP and rsp genes in a B. anthracis sigP/rsp-null mutant confers resistance to β-lactam antibiotics, suggesting that while B. anthracis contains the genes necessary for sensing β-lactam antibiotics, the B. anthracis sigP/rsp gene products are insufficient for bla induction. ^ Because alternative sigma factors recognize unique promoter sequence, direct targets can be elucidated by comparing transcriptional profiling results with an in silico search using the sigma factor binding sequence. Potential σP -10 and -35 promoter elements were identified upstream from bla1 bla2 and sigP. Results obtained from searching the B. anthracis genome with the conserved sequences were evaluated against transcriptional profiling results comparing B. anthracis 32 and an isogenic sigP/rsp -null strain. Results from these analyses indicate that while the absence of the sigP gene significantly affects the transcript levels of 16 genes, only bla1, bla2 and sigP are directly regulated by σP. The genomes of B. cereus and B. thuringiensis strains were also analyzed for the potential σP binding elements. The sequence was located upstream from the sigP and bla genes, and previously unidentified genes predicted to encode a penicillin-binding protein (PBP) and a D-alanyl-D-alanine carboxypeptidase, indicating that the σ P regulon in these species responds to cell-wall stress caused by β-lactam antibiotics. ^ β-lactam antibiotics prevent attachment of new peptidoglycan to the cell wall by blocking the active site of PBPs. A B. cereus and B. thuringiensis pbp-encoding gene located near bla1 contains a potential σP recognition sequence upstream from the annotated translational start. Deletion of this gene abolished β-lactam resistance in both strains. Mutations in the active site of the PBP were detrimental to β-lactam resistance in B. cereus, but not B. thuringiensis, indicating that the transpeptidase activity is only important in B. cereus. I also found that transcript levels of the PBP-encoding gene are not significantly affected by the presence of β-lactam antibiotic. Based on these data I hypothesize that the gene product acts a sensor of β-lactam antibiotic. ^

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Germ cell development is a highly coordinated process driven, in part, by regulatory mechanisms that control gene expression. Not only transcription, but also translation, is under regulatory control to direct proper germ cell development. In this dissertation, I have focused on two regulators of germ cell development. One is the homeobox protein RHOX10, which has the potential to be both a transcriptional and translational regulator in mouse male germ cell development. The other is the RNA-binding protein, Hermes, which functions as a translational regulator in Xenopus laevis female germ cell development. ^ Rhox10 is a member of reproductive homeobox gene X-(linked (Rhox) gene cluster, of which expression is developmentally regulated in developing mouse testes. To identify the cell types and developmental stages in which Rhox10 might function, I characterized its temporal and spatial expression pattern in mouse embryonic, neonatal, and adult tissues. Among other things, this analysis revealed that both the level and the subcellular localization of RHOX10 are regulated during germ cell development. To understand the role of Rhox10 in germ cell development, I generated transgenic mice expressing an artificial microRNA (miRNA) targeting Rhox10. While this artificial miRNA robustly downregulated RHOX10 protein expression in vitro, it did not significantly reduce RHOX10 expression in vivo. So I next elected to knockdown RHOX10 levels in spermatogonial stem cells (SSCs), which I found highly express both Rhox10 mRNA and RHOX10 protein. Using a recently developed in vitro culture system for SSCs combined with a short-hairpin RNA (shRNA) approach, I strongly depleted RHOX10 expression in SSCs. These RHOX10-depleted cells exhibited a defect in the ability to form stem cell clusters in vitro. Expression profiling analysis revealed many genes regulated by Rhox10, including many meiotic genes, which could be downstream of Rhox10 in a molecular pathway that controls SSC differentiation. ^ RNA recognition motif (RRM) containing protein, Hermes is localized in germ plasm, where dormant mRNAs are also located, of Xenopus oocytes, which implicates its role in translational regulator. To understand the function of Hermes in oocyte meiosis, I used a morpholino oligonucleotide (MO) based knockdown approach. Microinjection of Hermes MO into fully grown oocytes, which are arrested in meiotic prophase, caused acceleration of oocytes reentry into meiosis (i.e., maturation) upon progesterone induction. Using a candidate approach, I identified at least three targets of Hermes: Ringo/Spy, Xcat2, and Mos. Ringo/Spy and Mos are known to have functions in oocyte maturation, while Ringo/Spy, Xcat2 mRNA are localized in the germ plasm of oocytes, which drives germ cell specification after fertilization. This led me to propose that Hermes functions in both oocyte maturation and germ cell development through its ability to regulate 3 crucial target mRNAs. ^