Collagen I modulates growth and gene expression in prostate cancer cells

Prostate cancer is the second leading cause of male cancer-related deaths in the United States. Interestingly, prostate cancer preferentially metastasizes to skeletal tissue. Once in the bone microenvironment, advanced prostate cancer becomes highly resistant to therapeutic modalities. Several factors, such as extracellular matrix (ECM) components, have been implicated in the spread and propagation of prostatic carcinoma. In these studies, we have utilized the PC3 cell line, derived from a human bone metastasis, to investigate the influence of the predominant bone ECM protein, type I collagen, on prostate cancer cell proliferation and gene expression. We have also initiated the design and production of ribozymes to specific gene targets that may influence prostate cancer bone metastasis. ^ Our results demonstrate that PC3 cells rapidly adhere and spread on collagen I to a greater degree than on fibronectin (FN) or poly-L-lysine (PLL). Flow cytometry analysis reveals the presence of the α1, α2 and α3 collagen binding integrin subunits. The use of antibody function blocking studies reveals that PC3 cells can utilize α2β 1 and α3β1 integrins to adhere to collagen I. Once plated on collagen I, the cells exhibit increased rates of proliferation compared with cells plated on FN or tissue culture plastic. Additionally, cells plated on collagen I show increased expression of proteins associated with progression through G1 phase of the cell cycle. Inhibitor studies point to a role for phosphatidylinositol 3-kinase (PI3K), MAP kinase (MAPK), and p70 S6 kinase in collagen I-mediated PC3 cell proliferation and cyclin D1 expression. To further characterize the effect of type I collagen on prostate cancer bone metastasis, we utilized a cDNA microarray strategy to monitor type I collagen-mediated changes in gene expression. Results of this analysis revealed a gene expression profile reflecting the increased proliferation occurring on type I collagen. Microarray analysis also revealed differences in the expression of specific gene targets that may impact on prostate cancer metastasis to bone. ^ As a result of our studies on the interaction of prostate cancer cells and the skeletal ECM, we sought to develop novel molecular tools for future gene therapy of functional knockdown experiments. To this end, we developed a series of ribozymes directed against the α2 integrin and at osteopontin, a protein implicated in the metastasis of various cancers, including prostate. These ribozymes should facilitate the future study of the mechanism of prostate cancer cell proliferation, and disease progression occurring at sites of skeletal metastasis where a type I collagen-based environment predominates. ^ Together these studies demonstrate the involvement of bone ECM proteins on prostate cancer cell proliferation and suggest that they may play a significant role on the growth of prostate metastases once in the bone microenvironment. ^

An extracytoplasmic function sigma factor operon regulates Myxococcus xanthus developmental gene expression

Myxococcus xanthus is a Gram-negative soil bacterium that undergoes multicellular development when high-density cells are starved on a solid surface. Expression of the 4445 gene, predicted to encode a periplasmic protein, commences 1.5 h after the initiation of development and requires starvation and high density conditions. Addition of crude or boiled supernatant from starving high-density cells restored 4445 expression to starving low-density cells. Addition of L-threonine or L-isoleucine to starving low-density cells also restored 4445 expression, indicating that the high-density signaling activity present in the supernatant might be composed of extracellular amino acids or small peptides. To investigate the circuitry integrating these starvation and high-density signals, the cis- and trans-acting elements controlling 4445 expression were identified. The 4445 transcription start site was determined by primer extension analysis to be 58 by upstream of the predicted translation start site. The promoter region contained a consensus sequence characteristic of e&barbelow;xtrac&barbelow;ytoplasmic f&barbelow;unction (ECF) sigma factor-dependent promoters, suggesting that 4445 expression might be regulated by an ECF sigma factor-dependent pathway, which are known to respond to envelope stresses. The small size of the minimum regulatory region, identified by 5′-end deletion analysis as being only 66 by upstream of the transcription start site, suggests that RNA polymerase could be the sole direct regulator of 4445 expression. To identify trans-acting negative regulators of 4445 expression, a strain containing a 4445-lacZ was mutagenized using the Himar1-tet transposon. The four transposon insertions characterized mapped to an operon encoding a putative ECF sigma factor, ecfA; an anti-sigma factor, reaA; and a negative regulator, reaB. The reaA and the reaB mutants expressed 4445 during growth and development at levels almost 100-fold higher than wild type, indicating that these genes encode negative regulators. The ecfA mutant expressed 4445-lacZ at basal levels, indicating that ecfA is a positive regulator. High Mg2+ concentrations over-stimulated this ecfA pathway possibly due to the depletion of exopolysaccharides and assembled type IV pili. These data indicate that the ecfA operon encodes a new regulatory stress pathway that integrates and transduces starvation and cell density cues during early development and is also responsive to cell-surface alterations.^

Studies on gene expression within germinal centers

During T cell dependent immune responses, the acquisition of B cell memory from naïve cells takes place within a highly specialized microenvironment: The germinal centers (GC) of the secondary lymphoid organs. The GC reaction is a tightly regulated process in which the balance between survival and death is mediated by signals transduced through ligation of critical costimulatory molecules such as CD40 and CD154. While most cognate receptor-ligand interactions occur between T-cells and antigen (Ag)-presenting cells (APC) such as B-cells, evidence of homotypic B cell interactions has emerged. Despite the progress in our understanding of the reaction, several questions remain: (1) What determines the concomitant expression of CD40 and its ligand CD154 by GC B-cells? (2) Which molecules are responsible for inducing GC-B cell survival? and (3) how can cognate T-cell help be recruited into the organized structure of GCs? ^ Because the expression of costimulatory and survival molecules is predominant at distinct Ag-dependent maturation stages, we hypothesized the existence of stage specific gene expression responsible for the regulation of the GC reaction. Our studies reveal several novel genes whose expression may be critical for the GC reaction. The discovery of AKNA reveals the mechanism behind homotypic B cell CD40 and CD40 ligand interactions, which can explain the costimulatory signaling to GC B cells in the absence of T cells. Additionally, the identification of the pro-survival molecule PRELI may provide a novel mechanism for the survival of Ag-selected B cells. We propose that PRELI and its phylogenic homologues represent a novel family of proteins responsible for the protection of cells against caspase-independent apoptosis. Furthermore, we show that GC B cells actively participate in the recruitment of T cells through the secretion of CC and CxC chemokines, thus supporting their mutual involvement in cognate interactions. ^

Effects of Cor15a-IPT Gene Expression on Leaf Senescence in Transgenic Petunia x hybrida and Dendranthema x grandiflorum.

To prevent leaf senescence of young transplants or excised shoots during storage under dark and cold conditions, the cytokinin biosynthetic gene isopentenyl transferase (ipt) was placed under the control of a cold-inducible promoter cor15a from Arabidopsis thaliana and introduced into Petunia x hybrida 'Marco Polo Odyssey' and Dendranthema x grandiflorum (chrysanthemum) 'Iridon'. Transgenic cor15a-ipt petunia and chrysanthemum plants and excised leaves remained green and healthy during prolonged dark storage (4 weeks at 25 degrees C) after an initial exposure to a brief cold-induction period (4 degrees C for 72 h). However, cor15a-ipt chrysanthemum plants and excised leaves that were not exposed to a cold-induction period, senesced under the same dark storage conditions. Regardless of cold-induction treatment, leaves and plants of non-transformed plants senesced under prolonged dark storage. Analysis of ipt expression indicated a marked increase in gene expression in intact transgenic plants as well as in isolated transgenic leaves exposed to a short cold-induction treatment prior to dark storage. These changes correlated with elevated concentrations of cytokinins in transgenic leaves after cold treatment. Cor15a-ipt transgenic plants showed a normal phenotype when grown at 25 degrees C.

Cis-acting elements and developmental regulators govern toxin gene expression in Bacillus anthracis

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. ^

The molecular basis for beta-lactamase gene expression in B. anthracis, B. cereus and B. thuringiensis

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. ^

XIPHOPHORUS ENZYME GENE EXPRESSION: TISSUE SPECIFICITY, GENETIC CONTROL, AND STABILITY IN CULTURED CELLS

Five permanent cell lines were developed from Xiphophorus maculatus, X. helleri, and their hybrids using three tissue sources, including adults and embryos of different stages. To evaluate cell line gene expression for retention of either tissue-of-origin-specific or ontogenetic stage-specific characters, the activity distribution of 44 enzyme loci was determined in 11 X. maculatus tissues, and the developmental genetics of 17 enzyme loci was charted in X. helleri and in helleri x maculatus hybrids using starch gel electrophoresis. In the process, eight new loci were discovered and characterized for Xiphophorus.^ No Xiphophorus cell line showed retention of tissue-of-origin-specific or ontogenetic stage-specific enzyme gene expressional traits. Instead, gene expression was similar among the cell lines. One enzyme, adenosine deaminase (ADA) was an exception. Two adult-origin cell lines expressed ADA, whereas, three cell lines derived independently from embryos did not. ADA('-) expression of Xiphophorus embryo-derived cell lines may represent retention of an embryonic gene expressional trait. In one cell line (T(,3)) derived from 13 pooled interspecific hybrid (F(,2)) embryos, shifts with time were observed at enzyme loci polymorphic between the two species. This suggested shifts in ratios of cells of different genotypes in the population rather than unstable gene expression in one dominant cell type.^ Verification of this hypothesis was attempted by cloning the culture--seeking clones having different genetic signatures. The large number of loci electrophoretically polymorphic between the two species and whose alleles segregated independently into the 13 progeny from which this culture originated almost guaranteed the presence of different genetic signatures (lineages) in T(,3).^ Seven lineages of cells were found within T(,3), each expressing genotypes at some loci not characteristic of the expression of the culture-as-a-whole, supporting the hypothesis tested. Quantitative studies of ADA expression in the whole culture (ADA('-)) and in clones of these seven lineages suggested the predominance in T(,3) of ADA deficient cell lineages, although moderate to high ADA output clones also occurred. Thus, T(,3) has the potential to shift phenotypes from ADA('-) to ADA('+) by simply changing proportions of its constituent cell types, demonstrating that such shifts can occur in any cell culture containing cells of mixed expressional characteristics.^

Comparison of multiple comparison methods for identifying differential gene expression in simulated and real papillary thyroid cancer microarray data

The difficulty of detecting differential gene expression in microarray data has existed for many years. Several correction procedures try to avoid the family-wise error rate in multiple comparison process, including the Bonferroni and Sidak single-step p-value adjustments, Holm's step-down correction method, and Benjamini and Hochberg's false discovery rate (FDR) correction procedure. Each multiple comparison technique has its advantages and weaknesses. We studied each multiple comparison method through numerical studies (simulations) and applied the methods to the real exploratory DNA microarray data, which detect of molecular signatures in papillary thyroid cancer (PTC) patients. According to our results of simulation studies, Benjamini and Hochberg step-up FDR controlling procedure is the best process among these multiple comparison methods and we discovered 1277 potential biomarkers among 54675 probe sets after applying the Benjamini and Hochberg's method to PTC microarray data.^

Estrogen-induced gene expression and patient survival in high-grade serous carcinoma of the ovary

Background. Assessment of estrogen receptor (ER) expression has inconsistent utility as a prognostic marker in epithelial ovarian carcinoma. In breast and endometrial cancers, the use of estrogen-induced gene panels, rather than ER expression alone, has shown improved prognostic capability. Specifically, over-expression of estrogen-induced genes in these tumors is associated with a better prognosis and signifies estrogen sensitivity that can be exploited with hormone antagonizing agents. It was therefore hypothesized that estrogen-induced gene expression in ovarian carcinoma would successfully predict outcomes and differentiate between tumors of varying estrogen sensitivities. Methods. Two hundred nineteen (219) patients with ovarian cancer who underwent surgery at M. D. Anderson between 2004 and 2007 were identified. Of these, eighty-three (83) patients were selected for inclusion because they had advanced stage, high-grade serous carcinoma of the ovary or peritoneum, had not received neoadjuvant chemotherapy, and had readily available frozen tissue for study. All patients had also received adjuvant treatment with platinum and taxane agents. The expression of seven genes known to be induced by estrogen in the female reproductive tract (EIG121, sFRP1, sFRP4, RALDH2, PR, IGF-1, and ER) was measured using qRT-PCR. Unsupervised cluster analyses of multiple gene permutations were used to categorize patients as high or low estrogen-induced gene expressors. QPCR gene expression results were then compared to ER and PR immunohistochemical (IHC) expression. Cox proportional hazards models were used to evaluate the effects of both individual genes and selected gene clusters on patient survival. Results. Median follow-up time was 38.7 months (range 1-68 months). In a multivariate model, overall survival was predicted by sFRP1 expression (HR 1.10 [1.02-1.19], p=0.01) and EIG121 expression (HR 1.28 [1.10-1.49], p<0.01). A cluster defined by EIG121 and ER was further examined because that combination appeared to reasonably segregate tumors into distinct groups of high and low estrogen-induced gene expressors. Shorter overall survival was associated with high estrogen-induced gene expressors (HR 2.84 [1.11-7.30], p=0.03), even after adjustment for race, age, body mass index, and residual disease at debulking. No difference in IHC ER or PR expression was noted between gene clusters. Conclusion. In sharp contrast to breast and endometrial cancers, high estrogen-induced gene expression predicts shorter overall survival in patients with high-grade serous ovarian carcinoma. An estrogen-induced gene biomarker panel may have utility as prognostic indicator and may be useful to guide management with estrogen antagonists in this population.^

DETERMINING THE GENOTYPE-PHENOTYPE CONNECTION IN SYNTHETIC INDUCIBLE GENE EXPRESSION SYSTEMS

Introduction Gene expression is an important process whereby the genotype controls an individual cell’s phenotype. However, even genetically identical cells display a variety of phenotypes, which may be attributed to differences in their environment. Yet, even after controlling for these two factors, individual phenotypes still diverge due to noisy gene expression. Synthetic gene expression systems allow investigators to isolate, control, and measure the effects of noise on cell phenotypes. I used mathematical and computational methods to design, study, and predict the behavior of synthetic gene expression systems in S. cerevisiae, which were affected by noise. Methods I created probabilistic biochemical reaction models from known behaviors of the tetR and rtTA genes, gene products, and their gene architectures. I then simplified these models to account for essential behaviors of gene expression systems. Finally, I used these models to predict behaviors of modified gene expression systems, which were experimentally verified. Results Cell growth, which is often ignored when formulating chemical kinetics models, was essential for understanding gene expression behavior. Models incorporating growth effects were used to explain unexpected reductions in gene expression noise, design a set of gene expression systems with “linear” dose-responses, and quantify the speed with which cells explored their fitness landscapes due to noisy gene expression. Conclusions Models incorporating noisy gene expression and cell division were necessary to design, understand, and predict the behaviors of synthetic gene expression systems. The methods and models developed here will allow investigators to more efficiently design new gene expression systems, and infer gene expression properties of TetR based systems.

Post-transcriptional Regulation of Mammalian Gene Expression in Non-coding Region of Target RNA

Tumor Suppressor Candidate 2 (TUSC2) is a novel tumor suppressor gene located in the human chromosome 3p21.3 region. TUSC2 mRNA transcripts could be detected on Northern blots in both normal lung and some lung cancer cell lines, but no endogenous TUSC2 protein could be detected in a majority of lung cancer cell lines. Mechanisms regulating TUSC2 protein expression and its inactivation in primary lung cancer cells are largely unknown. We investigated the role of the 5’- and 3’-untranslated regions (UTRs) of the TUSC2 gene in the regulation of TUSC2 protein expression. We found that two small upstream open-reading frames (uORFs) in the 5’UTR of TUSC2 could markedly inhibit the translational initiation of TUSC2 protein by interfering with the “scanning” of the ribosome initiation complexes. Site-specific stem-loop array reverse transcription-polymerase chain reaction (SLA-RT-PCR) verified several micoRNAs (miRNAs) targeted at 3’UTR and directed TUSC2 cleavage and degradation. In addition, we used the established let-7-targeted high mobility group A2 (Hmga2) mRNA as a model system to study the mechanism of regulation of target mRNA by miRNAs in mammalian cells under physiological conditions. There have been no evidence of direct link between mRNA downregulation and mRNA cleavages mediated by miRNAs. Here we showed that the endonucleolytic cleavages on mRNAs were initiated by mammalian miRNA in seed pairing style. Let-7 directed cleavage activities among the eight predicted potential target sites have varied efficiency, which are influenced by the positional and the structural contexts in the UTR. The 5’ cleaved RNA fragments were mostly oligouridylated at their 3’-termini and accumulated for delayed 5’–3’ degradation. RNA fragment oligouridylation played important roles in marking RNA fragments for delayed bulk degradation and in converting RNA degradation mode from 3’–5’ to 5’–3’ with cooperative efforts from both endonucleolytic and non-catalytic miRNA-induced silencing complex (miRISC). Our findings point to a mammalian miRNA-mediated mechanism for the regulation of mRNA that miRNA can decrease target mRNA through target mRNA cleavage and uridine addition

MUTATIONS IN STAT3 ASSOCIATED WITH HUMAN HYPER IgE SYNDROME ENHANCE NFκB AND MAPK-MEDIATED GENE EXPRESSION

Hyper IgE syndrome (HIES) is a multisystem disorder resulting in bone and immune system abnormalities. It is associated with mutations in STAT3, which disrupt protein domains responsible for transcriptional function. Patients with HIES display osteoporosis and enhanced inflammatory cytokine production similar to hematopoietic Stat3-deficient mice. Since osteoclast and inflammatory cytokine genes are NFκB targets, these observations indicate a possible deregulation of NFκB signaling in both mice and humans with STAT3-deficiency. Here, we sought to examine the role of STAT3 in the regulation of NFκB-mediated gene expression through analysis of three HIES STAT3 point mutations in both hematopoietic and non- hematopoietic cells. We found that IL-6-induced tyrosine phosphorylation of STAT3 was partially or completely abrogated by HIES mutations in the transactivation domain (V713L) or SH2 domain (V637M), respectively, in both hematopoietic and non- hematopoietic cells. By contrast, IL-6-induced tyrosine phosphorylation of an HIES mutant in the STAT3 DNA-binding domain (R382W) was intact. The R382W and V713L mutants significantly reduced IL-6-dependent STAT3 transcriptional activity in reporter gene assays. Moreover, the R382W and V637M mutants significantly diminished IL-6-responsive expression of the endogenous STAT3 target gene, Socs3, as assessed by quantitative real-time PCR (qPCR) in the RAW macrophage cell line. These observations indicate the HIES mutants dominantly suppress the transcriptional activity of wild type STAT3, albeit to varying degrees. All three HIES mutants enhanced LPS-induced expression of the NFκB target genes IL6 (IL-6), Cxcl10 (IP- 10), and Tnf (TNFα) in RAW cells, as indicated by qPCR. Furthermore, overexpression of wild type STAT3 in Stat3-deficient murine embryonic fibroblasts significantlyreduced LPS-stimulated expression of IL6, Cxcl10, and IL12p35. In addition, in aprimary murine osteoclast differentiation assay, a STAT3-specific SH2 domain inhibitor led to significantly increased levels of osteoclast-specific gene expression. These results suggest that STAT3 serves as a negative regulator of NFκB-mediated gene expression, and furthermore imply that STAT3 mutations associated with HIES contribute to the osteopenia and inflammation observed in HIES patients.

RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION

My dissertation focuses on two aspects of RNA sequencing technology. The first is the methodology for modeling the overdispersion inherent in RNA-seq data for differential expression analysis. This aspect is addressed in three sections. The second aspect is the application of RNA-seq data to identify the CpG island methylator phenotype (CIMP) by integrating datasets of mRNA expression level and DNA methylation status. Section 1: The cost of DNA sequencing has reduced dramatically in the past decade. Consequently, genomic research increasingly depends on sequencing technology. However it remains elusive how the sequencing capacity influences the accuracy of mRNA expression measurement. We observe that accuracy improves along with the increasing sequencing depth. To model the overdispersion, we use the beta-binomial distribution with a new parameter indicating the dependency between overdispersion and sequencing depth. Our modified beta-binomial model performs better than the binomial or the pure beta-binomial model with a lower false discovery rate. Section 2: Although a number of methods have been proposed in order to accurately analyze differential RNA expression on the gene level, modeling on the base pair level is required. Here, we find that the overdispersion rate decreases as the sequencing depth increases on the base pair level. Also, we propose four models and compare them with each other. As expected, our beta binomial model with a dynamic overdispersion rate is shown to be superior. Section 3: We investigate biases in RNA-seq by exploring the measurement of the external control, spike-in RNA. This study is based on two datasets with spike-in controls obtained from a recent study. We observe an undiscovered bias in the measurement of the spike-in transcripts that arises from the influence of the sample transcripts in RNA-seq. Also, we find that this influence is related to the local sequence of the random hexamer that is used in priming. We suggest a model of the inequality between samples and to correct this type of bias. Section 4: The expression of a gene can be turned off when its promoter is highly methylated. Several studies have reported that a clear threshold effect exists in gene silencing that is mediated by DNA methylation. It is reasonable to assume the thresholds are specific for each gene. It is also intriguing to investigate genes that are largely controlled by DNA methylation. These genes are called “L-shaped” genes. We develop a method to determine the DNA methylation threshold and identify a new CIMP of BRCA. In conclusion, we provide a detailed understanding of the relationship between the overdispersion rate and sequencing depth. And we reveal a new bias in RNA-seq and provide a detailed understanding of the relationship between this new bias and the local sequence. Also we develop a powerful method to dichotomize methylation status and consequently we identify a new CIMP of breast cancer with a distinct classification of molecular characteristics and clinical features.

{\it cis\/} -acting elements and {\it trans\/} -acting factors that control serum amyloid A gene expression during inflammation

To understand how the serum amyloid A (SAA) genes are regulated, the cis-acting elements and trans-acting factors involved in the regulation of mouse SAA3 and rat SAA1 genes expression during inflammation were analyzed.^ To identify DNA sequences involved in the liver-specific expression of the mouse SAA3 gene, the 5$\sp\prime$ flanking region of this gene was analyzed by transient transfection studies. Results suggest that C/EBP, a liver-enriched transcription factor, plays an important role for the enhanced expression of the mouse SAA3 gene in hepatocytes.^ Transfection studies of the regulation of the expression of rat SAA1 gene indicated that a 322 bp fragment ($-$304 to +18) of the gene contains sufficient information for cytokine-induced expression of the reporter gene in a liver cell-specific manner. Further functional analysis of the 5$\sp\prime$ flanking region of the rat SAA1 gene demonstrated that a 65 bp DNA fragment ($-$138/$-$73) can confer cytokine-inducibility onto a heterologous promoter both in liver and nonliver cells. DNase I footprint and gel retardation assays identified five putative cis-regulatory elements within the 5$\sp\prime$ flanking region of the gene: one inducible element, a NF$\kappa$B binding site and four constitutive elements. Two constitutive elements, footprint regions I and III, were identified as C/EBP binding sites with region III having over a 10-fold higher affinity for C/EBP binding than region I. Functional analysis of the cis-elements indicated that C/EBP(I) and C/EBP(III) confer liver cell-specific activation onto a heterologous promoter, while sequences corresponding to the NF$\kappa$B element and C/EBP(I) impart cytokine responsiveness onto the heterologous promoter. These results suggest that C/EBP(I) possesses two functions: liver-specific activation and cytokine responsiveness. The identification of two cytokine responsive elements (NF$\kappa$B and C/EBP(I)), and two liver-specific elements (C/EBP(I) and C/EBP(III)) implies that multiple cis-acting elements are involved in the regulation of the expression of the rat SAA1 gene. The tissue-specific and cytokine-induced expression of rat SAA1 gene is likely the result of the interactions of these cis-acting elements with their cognate trans-acting factors as well as the interplay between the different cis-acting elements and their binding factors. (Abstract shortened with permission of author.) ^

Regulation of {\it neu\/} gene expression by the simian virus 40 large T antigen and tumor suppressors Rb and p53

The neu gene (also c-erbB-2 or HER2) encodes a 185 kilodalton protein that is frequently overexpressed in breast, ovarian and non-small cell lung cancers. Study of the regulation of neu indicates that neu gene expression can be modulated by c-myc or by the adenovirus 5 E1a gene product. This study demonstrates that the transforming protein, large T antigen, of the simian virus 40 represses neu promoter activity. Repression of neu by large T antigen is mediated through the region $-$172 to $-$79 (relative to first ATG) of the neu promoter--unlike through $-$312 to $-$172 for c-myc or E1a. This suggests a different pathway for repression of neu by large T antigen. The 10 amino acid region of large T required for binding the tumor suppressor, retinoblastoma gene product, Rb, is not necessary for repression of neu. Moreover, the tumor suppressors, Rb and p53 can independently inhibit neu promoter activity. Rb inhibits neu through a 10 base pair G-rich enhancer (GTG element) ($-$243 to $-$234) and also through regions close to transcription initiation sites ($-$172 to $-$79). Mutant Rb unable to complex large T is able to repress the region close to transcription initiation but not the GTG enhancer. Thus, Rb inhibits the two regulatory domains of the neu gene by different mechanisms. Both Rb and p53 can repress the transforming activity of activated neu in focus forming assays. These data provide evidence that tumor suppressors regulate expression of growth stimulatory genes such as neu. Therefore, one reason for the overexpression of neu that is frequently seen in breast cancer cells may be due to functional inactivation of Rb and p53 which is also a common occurrence in breast cancer cells. ^