Huntington's Disease (HD) is an inherited neurodegenerative disorders caused by CAG repeat expansions in exon 1 of the huntingtin gene (htt). Patients with HD experience profound region specific neural degeneration for reasons that remain incompletely understood. Early studies in HD brain suggest that transcriptional misregulation occurs early in disease, before significant tissue loss and degeneration has occurred. However, a comprehensive understanding of the events that contribute to this remain poorly understood. In this study, we investigate a functional role for small RNA or miRNAs in the central nervous system (CNS) of patients with HD. Our work identifies subsets of miRNAs misregulated in HD. A functional role for these miRNAs was investigated by identifying their predicted targets. We identify a subset of differentially detected miRNAs which are inversely correlated with predicted downstream predicted 3'UTR target genes. We also identify targets of these differentially detected miRNAs including transcriptional regulators REST, CoREST and cFOS. The transcription factor REST silences neuronal gene expression in non-neuronal cells. Polyglutamine expansions in Huntingtin, which cause HD, abrogate REST-mediated Huntingtin binding, and as a result REST translocates to the nucleus, occupies RE1 consensus sites and represses the expression of both coding and non-coding RNAs. In this work, we identify miRNAs (miRNAs) with upstream REST consensus sites that are decreased in HD patient primary motor cortices (BA4). One of these miRNAs, miRNA-9/miRNA-9* is capable of regulating the expression of two components of the REST complex: miRNA-9 targets REST and miRNA-9* targets CoREST. These data provide evidence for a double negative feedback loop between the REST silencing complex and the miRNAs it regulates. In addition to these studies, we identify CNS enriched miRNAs which may differentially regulate human versus non-human primate gene expression. We computationally identified a single nucleotide change from G to A in the 3'UTR of human cFOS 3'UTR which is predicted to be regulated by the brain enriched miRNA-7. A regulatory role for the single nucleotide change in humans (G->A) was assessed by mutating the single nucleotide in the human cFOS 3'UTR (from A->G), as well as by introducing the corresponding human mutation (G->A) into the rhesus and chimpanzee cFOS 3'UTRs. The presence of the A nucleotide in the predicted MRE for miRNA-7 was sufficient to partially abrogate miRNA-7 activity in reporter plasmids. Finally, overexpression of artificial precursor miRNAs in human HEK293 and mouse N2A cell lines confirmed differential targeting of cFOS in human versus mouse cell lines. These data provide evidence for the potential contribution of a single nucleotide change in humans as regards changes in cFOS regulated gene expression. Since cFOS is a transcription factor, downstream affects from altered expression could be significant. Together, this work provides new support for the role of brain enriched miRNAs in the CNS and identifies functional support that their misregulation or altered expression can impact expression of protein coding transcripts in disease brain, and may be relevant to primate brain evolution.

As maize plants undergo vegetative phase change, they both exhibit heteroblasty, an abrupt change in pattern of leaf morphogenesis, and gain the ability to produce flowers. Both processes are under the control of microRNA 156, whose levels decline at the end of the juvenile phase. Gain of ability to flower is conferred by expression of miR156 targets that encode Squamosa Promoter-Binding (SBP) transcription factors, which in turn induce the expression of MADS-box transcription factors that promote maturation and flowering. What gene expression differences underlie heteroblasty, as well as what causes the reduction in miR156 levels, remain open questions. Here, we compare the gene expression in primordia that will develop into juvenile or adult leaves to identify genes that define these two developmental states and may influence vegetative phase change. In comparisons among successive leaves at the same developmental stage of plastochron 6, three-fourths of approximately 1,100 differentially expressed genes were more highly expressed in juvenile primordia. This juvenile set was enriched in photosynthetic genes, particularly those associated with cyclic electron flow at photosystem I, and genes involved in oxidative stress and retrograde redox signaling. Pathogen responsive pathways including jasmonic acid, salicylic acid, and benzoxazinoids were also up-regulated in juvenile primordia and indeed, we found that exogenous application of jasmonic acid, and hydrogen peroxide delays vegetative phase change in maize seedlings. These results suggest that the timing of vegetative phase change in maize is coordinated in part downstream of photo-oxidative stress signaling. Photo-oxidative stress during greening likely amplifies heterotrophic energy insufficiency. The successful amelioration of these stress signals may ultimately determine the duration of miR156-mediated juvenility.

The field of microRNA research has gained enormous significance during recent years. Current studies have shown that microRNAs play an important role in many biological processes via posttranscriptional gene regulation. This also applies for the TLR-mediated recognition of pathogens by immune cells. Among others, the microRNAs miR-132, miR-146a and miR-155 have been characterized by various authors. However, the specific role of microRNAs in the defense against fungal infections by Aspergillus fumigatus has not been investigated so far, although this ubiquitous mold causes severe infections in immuno-compromised patients. As dendritic cells play a pivotal part in the in vivo recognition of A. fumigatus, the present study investigates the reaction of these cells to A. fumigatus and other pathogens on the microRNA level. For this purpose, dendritic cells were incubated with different forms of A. fumigatus and other pathogens for up to twelve hours. Subsequently, the expression of miR-132, miR-146a and miR-155 was quantified by real-time PCR. Levels of miR-132 in dendritic cells were significantly increased after stimulation with living germ tubes of A. fum, but showed no change after treatment with LPS. Relative expression level of miR-146a was moderately elevated upon stimulation with LPS, but did not respond to co-cultivation with living germ tubes. MiR-155 was highly induced by both stimuli. These results show, that dependent on the stimulus, microRNAs are differentially regulated in dendritic cells. Among the tested microRNAs, miR-155 showed the strongest and most stable expression values. Therefore, further experiments focused on this mircoRNA. It was shown, that the up-regulation of miR-155 is dependent on the germination stage of the fungus. Induction of miR-155 was low with conidia, moderate with hyphae and high with germ tubes. The extent of miR-155 induction also corresponded with the multiplicity of infection (MOI), with higher MOIs triggering a stronger miR-155 response. These results suggest that miR-132 and miR-155 play an important role in the immunologic reaction of DCs against A. fumigatus and that a further characterization of these microRNA, especially with respect to their specific function in DCs, could contribute to the understanding of the biological mechanisms of Aspergillosis. / Die Erforschung von MicroRNAs gewinnt zunehmend an Bedeutung. Aktuelle Arbeiten zeigen, dass MicroRNAs an der Regulation vieler biologischer Prozesse beteiligt sind, indem sie in die posttranskriptionelle Genregulation eingreifen. Dies betrifft auch die TLR-vermittelte Erkennung von Pathogenen durch Immunzellen. Hierbei wurden u.a. die MikroRNAs miR-132, miR-146a und miR-155 von verschiedenen Autoren charakterisiert. Die spezielle Rolle von MikroRNAs bei der Abwehr von Pilzinfektionen durch Aspergillus fumigatus ist bisher allerdings kaum untersucht, obwohl dieser ubiquitär vorkommende Schimmelpilz häufig schwere Infektionen bei immunsupprimierten Patienten auslöst. Da in vivo den dendritischen Zellen eine entscheidende Rolle bei der Erkennung von A. fumigatus zukommt, wurde in der vorliegenden Arbeit die Reaktion dieser Zellen auf A. fumigatus und andere Pathogene auf MikroRNA Ebene untersucht. Dazu wurden dendritische Zellen mit verschiedenen Formen von A. fumigatus und LPS über Zeiträume von bis zu zwölf Stunden stimuliert. Anschließend wurde die Expression von miR-132, miR-146a und miR-155 mittels Real-Time PCR bestimmt. Dabei zeigte sich, dass nach Stimulation mit A. fumigatus die miR-132 Level in dendritischen Zellen deutlich anstiegen, wohingegen eine Inkubation mit LPS keinen Einfluss auf diese MicroRNA hatte. Die relative Expression von miR-146a war nach Stimulation mit LPS leicht erhöht, zeigte allerdings keine Veränderung nach Ko-Kultur mit A. fumigatus. Die Expression von miR-155 wurde durch beide Stimuli stark induziert. Diese Ergebnisse zeigen, dass abhängig vom Stimulus eine differentielle Expression von MicroRNAs in dendritischen Zellen stattfindet. Unter den drei untersuchten MicroRNAs, zeigte miR-155 die höchsten und stabilsten Expressionswerte. Daher wurde der Schwerpunkt weiterer Experimente auf diese MicroRNA gesetzt. Dabei ergab sich, dass das Ausmaß der miR-155 Induktion vom Entwicklungsstadium des Pilzes abhängig ist. Konidien von A. fumigatus führten lediglich zu einer schwachen Hochregulation von miR-155, wohingegen Hyphen und insbesondere Keimschläuche ein starke Induktion von miR-155 verursachten. Die Dynamik der miR-155 Hochregulation korrelierte außerdem mit der multiplicity of infection (MOI), wobei eine höhere MOI mit einer stärkeren miR-155 Antwort einherging. Die dargestellten Ergebnisse legen nahe, dass miR-132 und miR-155 eine wichtige Rolle bei der Immunreaktion von DCs gegen A. fumigatus spielen und eine weitere Charakterisierung dieser MicroRNAs v.a. im Hinblick auf ihre spezielle Funktion in DCs einen wichtigen Beitrag zum Verständnis der biologischen Grundlagen der Aspergillosen erbringen könnte.

Limb-Bud and Heart (LBH) is a novel key transcriptional regulator of vertebrate development. However, the molecular mechanisms upstream of LBH and its role in adult development are unknown. Here we show that in epithelial development, LBH expression is tightly controlled by Wnt signaling. LBH is transcriptionally induced by the canonical Wnt pathway, as evident by the presence of functional TCF/LEF binding sites in the LBH locus and rapid beta-catenin-dependent upregulation of endogenous LBH by Wnt3a. In contrast, LBH induction by Wnt/beta-catenin signaling is inhibited by Wnt7a, which in limb development signals through a non-canonical pathway involving Lmx1b. Furthermore, we show that Lbh is aberrantly overexpressed in mammary tumors of MMTV-Wnt1 transgenic mice and in aggressive basal-subtype human breast cancers that display Wnt/beta-catenin hyperactivation. Deregulation of LBH in human breast cancer appears to be Wnt/beta-catenin dependent as DKK1 and Wnt7a inhibit LBH expression in breast tumor cells. RNAi mediated knockdown of LBH in basal breast cancer cell lines resulted in loss of CD44high/CD24low tumor cells, luminal differentiation, reduced cell growth, reduced colony forming ability, and increased apoptosis, suggesting a novel pro-survival and stem cell maintenance function of LBH in breast cancer. Reciprocal overexpression studies in the basal breast carcinoma line BT549 resulted in increased tumorigenicity in vitro, suggesting that LBH overexpression is indeed oncogenic. Finally, we further characterized LBH protein expression patterns and post-transcriptional regulation. Collectively, this thesis demonstrates that LBH is a direct Wnt target gene in both development and basal breast cancer that promotes the undifferentiated phenotype and survival of basal breast tumor cells.

Cancer is a multi-stage process resulting from accumulation of genetic mutations. Data obtained from assaying a tumor only contains the set of mutations in the tumor and lacks information about their temporal order. Learning the chronological order of the genetic mutations is an important step towards understanding the disease. The probability of introduction of a mutation to a tumor increases if certain mutations that promote it, already happened. Such dependencies induce what we call the monotonicity property in cancer progression. A realistic model of cancer progression should take this property into account. In this thesis, we present two models for cancer progression and algorithms for learning them. In the first model, we propose Progression Networks (PNs), which are a special class of Bayesian networks. In learning PNs the issue of monotonicity is taken into consideration. The problem of learning PNs is reduced to Mixed Integer Linear Programming (MILP), which is a NP-hard problem for which very good heuristics exist. We also developed a program, DiProg, for learning PNs. In the second model, the problem of noise in the biological experiments is addressed by introducing hidden variable. We call this model Hidden variable Oncogenetic Network (HON). In a HON, there are two variables assigned to each node, a hidden variable that represents the progression of cancer to the node and an observable random variable that represents the observation of the mutation corresponding to the node. We devised a structural Expectation Maximization (EM) algorithm for learning HONs. In the M-step of the structural EM algorithm, we need to perform a considerable number of inference tasks. Because exact inference is tractable only on Bayesian networks with bounded treewidth, we also developed an algorithm for learning bounded treewidth Bayesian networks by reducing the problem to a MILP. Our algorithms performed well on synthetic data. We also tested them on cytogenetic data from renal cell carcinoma. The learned progression networks from both algorithms are in agreement with the previously published results. MicroRNAs are short non-coding RNAs that are involved in post transcriptional regulation. A-to-I editing of microRNAs converts adenosine to inosine in the double stranded RNA. We developed a method for determining editing levels in mature microRNAs from the high-throughput RNA sequencing data from the mouse brain. Here, for the first time, we showed that the level of editing increases with development. / <p>QC 20130503</p>

The E2F family of transcription factors regulate cellular growth, death and differentiation, but their role in cardiac biology remains to be fully explored. We hypothesized that the balance of the E2F pathway would determine cardiac development and function. We provide evidence for this via modulation of the E2F6 repressor, in a transgenic (Tg) mouse model. Targeted expression of E2F6 in the heart led to dilated cardiomyopathy (DCM) and death. Microarray analysis revealed that E2F responsive pathways were activated in Tg mice. Furthermore, we found that E2F6 and YY1 (E2F-co-factor) were translocated to the nucleus in Tg mice, providing a potential mechanism for the observed transcriptional activation. We also observed a marked decrease of Connexin43 protein in the myocardium, and reduced atrial conductivity in Tg mice which may lead to reduced cardiac function. The data demonstrates a novel role for E2F pathway outside of cell cycle control in the heart.

B-cell chronic lymphocytic leukemia is the most common leukemia in the adult population of Western developed countries. In 2005, an estimated 9,730 adults in the United States will be diagnosed with B-CLL and an estimated 4,600 deaths will occur. B-CLL is a common heterogeneous malignant disease with variable outcome. B-CLL is divided into two groups based on whether somatic hypermutation is observed in the variable region of the immunoglobulin heavy-chain locus (IgVH). The two distinct groups are named mutated and unmutated. The B-CLL mutated group has a more favorable prognosis than the unmutated group. Gene expression profiling has been used successfully to decipher the biological and clinical diversity of many leukemias and lymphomas. Recently, other small RNAs (microRNAs) have been shown to be important in hematopoiesis. MicroRNAs are small 20-28 nucleotide RNAs that are believed to control many important cellular and developmental processes by posttranscriptional gene silencing, translational repression, and modulating epigenetic events. We are interested in whether microRNA expression correlates with the mutational status of IgVH. This study is significant in the following ways: (1) microRNAs may become surrogate markers for the mutational status of IgVH of B-CLL, which implies a more rapid diagnostic means as compared to the current practice, and (2) microRNAs, in the particular context of B-CLL, may play some significant roles in a gene regulatory network that is further responsible for chromosomal abnormalities found in B-CLL. This thesis presents a study comparing microRNA expression in mutated and unmutated B-CLL groups. Instead of using a genome-wide expression profiling strategy, we selected a specific set of microRNAs based on their chromosome locations and mRNA targets. Specifically, we chose the following eight microRNAs (with their chromosomal abnormalities): mir16-1 (deletion 13), let-7i (trisomy 12), mir196-2 (trisomy 12), mir26a-2 (trisomy 12), mir-34b (deletion 11), mir-125b (deletion 11), mir-181C (trisomy 19), mir-125a (trisomy 19). We used solution hybridization assays to monitor the expression of microRNAs. We successfully characterized the microRNA expression in twelve B-CLL patient samples (eight mutated and four unmutated). Among the eight microRNAs examined, three (mir196-2, mir-125a, mir-125b) are not expressed in the two B-CLL groups, four (mir16-1, mir26a-2, let-7i, mir-34b) have significant differences in expressions over the two groups, and one (mir-181c) has no significant difference in expressions over the two groups.

B-cell chronic lymphocytic leukemia is the most common leukemia in the adult population of Western developed countries. In 2005, an estimated 9,730 adults in the United States will be diagnosed with B-CLL and an estimated 4,600 deaths will occur. B-CLL is a common heterogeneous malignant disease with variable outcome. B-CLL is divided into two groups based on whether somatic hypermutation is observed in the variable region of the immunoglobulin heavy-chain locus (IgVH). The two distinct groups are named mutated and unmutated. The B-CLL mutated group has a more favorable prognosis than the unmutated group. Gene expression profiling has been used successfully to decipher the biological and clinical diversity of many leukemias and lymphomas. Recently, other small RNAs (microRNAs) have been shown to be important in hematopoiesis. MicroRNAs are small 20-28 nucleotide RNAs that are believed to control many important cellular and developmental processes by posttranscriptional gene silencing, translational repression, and modulating epigenetic events. We are interested in whether microRNA expression correlates with the mutational status of IgVH. This study is significant in the following ways: (1) microRNAs may become surrogate markers for the mutational status of IgVH of B-CLL, which implies a more rapid diagnostic means as compared to the current practice, and (2) microRNAs, in the particular context of B-CLL, may play some significant roles in a gene regulatory network that is further responsible for chromosomal abnormalities found in B-CLL. This thesis presents a study comparing microRNA expression in mutated and unmutated B-CLL groups. Instead of using a genome-wide expression profiling strategy, we selected a specific set of microRNAs based on their chromosome locations and mRNA targets. Specifically, we chose the following eight microRNAs (with their chromosomal abnormalities): mir16-1 (deletion 13), let-7i (trisomy 12), mir196-2 (trisomy 12), mir26a-2 (trisomy 12), mir-34b (deletion 11), mir-125b (deletion 11), mir-181C (trisomy 19), mir-125a (trisomy 19). We used solution hybridization assays to monitor the expression of microRNAs. We successfully characterized the microRNA expression in twelve B-CLL patient samples (eight mutated and four unmutated). Among the eight microRNAs examined, three (mir196-2, mir-125a, mir-125b) are not expressed in the two B-CLL groups, four (mir16-1, mir26a-2, let-7i, mir-34b) have significant differences in expressions over the two groups, and one (mir-181c) has no significant difference in expressions over the two groups.

Abstract The homeobox gene prox1 is a transcription factor related to the Drosophila gene Prospero. It play an essential role in the development of central nervous system, lens, liver and pancreas. In addition, prox1 is a master gene controlling the early development of the lymphatic vasculature. In tumorigenesis, prox1 has been shown to function as a tumor suppressor gene in hepatocellular carcinoma and breast cancer. Conversely, prox1 is over-expressed in the majority of colorectal cancer (CRC) and it promotes dysplasia, tumor growth and malignant progression. I report the findings here and show that ectopic expression of prox1 in prox1-null DLD-1 colon cancer cells will increase cell invasion but decrease cell adhesion. In addition, prox1 may induce epithelia- mesenchymal transition (EMT) by attenuating E-cadherin expression and up-regulating other EMT markers. On the contrary, knockdown of prox1 increases E-cadherin expression in SW620 cells; reduction of prox1 increases cell adhesion but decreases invasion. In short, the transcription factor prox1 plays an oncogenic role and promotes cancer metastasis in CRC.

<p><strong>Background:</strong> Real-time quantitative Reverse Transcriptase Polymerase Chain Reaction (qRT-PCR) is recently used for characterization and expression analysis of miRNAs. The data from such experiments need effective analysis methods to produce reliable and high-quality data. For the miRNA prostate cancer qRT-PCR data used in this study, standard housekeeping normalization method fails due to non-stability of endogenous controls used. Therefore, identifying appropriate normalization method(s) for data analysis based on other data driven principles is an important aspect of this study.</p><p><strong>Results:</strong> In this study, different normalization methods were tested, which are available in the R packages <em>Affy</em> and <em>qpcrNorm</em> for normalization of the raw data. These methods reduce the technical variation and represent robust alternatives to the standard housekeeping normalization method. The performance of different normalization methods was evaluated statistically and compared against each other as well as with the standard housekeeping normalization method. The results suggest that <em>qpcrNorm</em> Quantile normalization method performs best for all methods tested.</p><p><strong>Conclusions:</strong> The <em>qpcrNorm</em> Quantile normalization method outperforms the other normalization methods and standard housekeeping normalization method, thus proving the hypothesis of the study. The data driven methods used in this study can be applied as standard procedures in cases where endogenous controls are not stable.</p>