Thesis (Ph.D.)--University of Florida, 2004. / Typescript. Title from title page of source document. Document formatted into pages; contains 87 pages. Includes Vita. Includes bibliographical references.

A complex network of protein filaments collectively known as the cytoskeleton carries out several crucial cellular processes. These functions include, but are not limited to, motility, cell shape, mitosis and organelle trafficking. The cytoskeleton is also highly responsive, allowing the cell to alter its shape in response to its immediate needs and environment. One of the major components of the cytoskeleton is the microtubule network. To refer to the array of micro tubules in the cell as a skeleton is a misnomer. Microtubules, by virtue of their structure and nature, are highly dynamic, continuously growing and shrinking. They also bind a variety of accessory molecules that aid in regulating and directing their dynamic activity. In this way they provide a structural basis for integral cell functions that require rapid assembly and disassembly. In some cases, perturbations of the microtubule network results in structural anomalies that lead to undesirable outcomes for the cell, namely chromosomal missegregation events and instability. The accumulation of these events may induce aneuploidy, which has been a fundamental component of tumorigenesis. This dissertation examines the role of the microtubule cytoskeleton within three distinct contexts. The first chapter investigates the association of the anti-apoptotic protein survivin with the microtubule network and its potential impact upon the cell from interphase to cytokinesis. The second chapter of this dissertation explores a little-studied, microtubule-dense organelle, referred to as the midbody, and the highly orchestrated events that take place within it during cytokinesis. The third and final chapter describes a unique experimental condition that may further our understanding of the interaction between the tumor suppressor p53 and the centrosome in cell cycle regulation and tumorigenesis.

Cancer is the second leading cause of death among men and women after heart disease. Though our knowledge associated with the complexities of the cancer network has significantly improved over the past several decades, we have only recently started to get a more complete molecular understanding of the disease. To better comprehend signaling pathways that prevent disease development, we focused our efforts on investigating endogenous tumor suppression networks in controlling effectors of cancer cell survival and proliferation. Survivin is one such effector molecule that controls both cell proliferation and survival. In order to identify how this protein is overexpressed in cancer cells as opposed to normal cells, we looked at signaling molecules that negatively regulate this inhibitor of apoptosis protein. PTEN and caspase 2 are two of the identified proteins that utilize their enzymatic activity to suppress tumor growth by inhibiting downstream cell survival effectors, namely survivin. PTEN uses its phosphatase activity to suppress the PI3K/AKT pathway and maintain cellular homeostasis. In the absence of AKT activity, FOXO transcription factors are able to target downstream gene expression and regulate cell proliferation and survival. Here we have identified survivin as a novel gene target of FOXO, which binds to a specific promoter region of survivin and suppresses its transcription. Alternatively, caspase 2 uses its catalytic activity to suppress survivin gene expression by targeting the NFκB pathway. Caspase 2 acts by cleaving a novel substrate known as RIP1 that prevents NFκB from entering the nucleus, thus inhibiting target gene transcription. Interestingly, survivin is known to be a direct gene target of NFκB that controls cancer cell survival. In our investigation, we found that survivin is downregulated upon caspase 2 activation via the NFκB pathway, resulting in decreased cell cycle kinetics, increased apoptotic threshold and suppressed tumor growth in mice. These studies conclude that survivin is a common effector molecule that is regulated by tumor suppressors to maintain cellular homeostasis. However, upon deactivation of the tumor suppressor pathway, survivin is deregulated and contributes significantly to disease progression. These observations may lead to potential therapeutic implications and novel targeting strategies that will help eradicate harmful cancer cells and spare surrounding healthy cells; often the most persistent problem of most conventional chemotherapy.

Neurons exhibit highly polarized structures, including two morphologically and functionally distinct domains, axons and dendrites. Dendrites and axons receive versus send information, and proper execution of each requires different sets of molecules. Differential distribution of membrane proteins in distinct neuronal compartments plays essential roles in neuronal functions. The major goal of my doctoral thesis was to study the molecular mechanisms that govern the differential distribution of membrane proteins in neurons, using the Drosophilalarval mushroom body (MB) as a model system. My work was initiated by an observation of differential distribution of distinct Dscam isoforms in neurons. Dscam stands for Down Syndrome Cell Adhesion Molecule, which is a Drosophila homolog of human DSCAM. According to genomic analysis, DrosophilaDscam gene can generate more than 38,000 isoforms through alternative splicing in its exons 4, 6, 9 and 17. All Dscam isoforms share similar domain structures, with 10 immunoglobulin domains and 6 fibronectin type III repeats in the ectodomain, a single transmembrane domain and a cytoplasmic endodomain. There are two alternative exons in exon 17 (17.1 and 17.2), which encodes Dscam’s transmembrane domain. Interestingly, in ectopic expression, Dscam isoforms carrying exon 17.1 (Dscam[TM1]) can be preferentially localized to dendrites and cell bodies, while Dscam isoforms carrying exon 17.2 (Dscam[TM2]) are distributed throughout the entire neuron including axons and dendrites. To unravel the mechanisms involved in the differential distribution of Dscam[TM1] versus Dscam[TM2], I conducted a mosaic genetic screening to identify the possible factors affecting dendritic distribution of Dscam[TM1], established an in vivoTARGET system to better distinguish the differential distribution of Dscam, identified the axonal and dendritic targeting motifs of Dscam molecules and further showed that Dscam’s differential roles in dendrites versus axons are correlated with its localization. Several mutants affecting dendritic distribution of Dscam[TM1] have been identified using a MARCM genetic screen. Three of these mutants (Dlis1, Dmn and p24) are components of the dynein/dynactin complex. Silencing of other dynein/dynactin subunits and blocking dynein function with a dominant-negative Glued mutant also resulted in mislocalization of Dscam[TM1] from dendrites to axons. However, microtubule polarity in the mutant axons was maintained. Taken together, this was the first demonstration that the dynein/dynactin complex is involved in the polarized distribution of membrane proteins in neurons. To further examine how dynein/dynactin is involved in the dendritic distribution of Dscam[TM1], I compromised dynenin/dynactin function with dominant-negative Glued and transiently induced Dscam[TM1] expression. The results suggested that dynein/dynactin may not be directly involved in the targeting of newly synthesized Dscam[TM1] to dendrites. Instead, it plays a role in maintaining dendritic restriction of Dscam[TM1]. Notably, dynein/dynactin dysfunction did not alter distribution of another dendritic transmembrane protein Rdl (Resistant to Dieldrin), supporting involvement of diverse mechanisms in distributing distinct molecules to the dendritic membrane. To identify the targeting motifs of Dscam, I incorporated the TARGET (Temporal and regional gene expression targeting) system into mushroom body (MB) neurons, and this allowed the demonstration of the differential distribution of Dscam[TM1] and Dscam[TM2] with more clarity than conventional overexpression techniques. Using the TARGET system, I identified an axonal targeting motif located in the cytoplasmic juxtamemebrane domain of Dscam[TM2]. This axonal targeting motif is dominant over the dendritic targeting motif located in Dscam’s ectodomain. Scanning alanine mutagenesis demonstrated that two amino acids in the axonal targeting motif were essential for Dscam’s axonal distribution. Interestingly, swapping the cytoplasmic juxtamembrane portions between TM1 and TM2 not only reversed TM1’s and TM2’s differential distribution patterns but also their functional properties in dendrites versus axons. My thesis research also involved studying endodomain diversity of Dscam isoforms. Besides the diversity originally found in the ectodomain and transmembrane domain of Dscam, my colleagues and I further demonstrated the existence of four additional endodomain variants. These four variants are generated by skipping or retaining exon 19 or exon 23 through independent alternative splicing. Interestingly, different Dscam endodomain isoforms are expressed at different developmental stages and in different areas of the nervous system. Through isoform-specific RNA interference, we showed the differential involvement of distinct Dscam endodomains in specific neuronal morphogenetic processes. Analysis of the primary sequence of the Dscam endodomain indicated that endodomain variants may confer activation of different signaling pathways and functional roles in neuronal morphogenesis. In Summary, my thesis work identified and characterized several previously unknown mechanisms related to the differential distribution of membrane proteins in neurons. I showed that there may be a dynein/dynactin-independent mechanism for selective transport of dendritic membrane proteins to dendrites. Second, dynein/dynactin plays a maintenance role in dendritic restriction of Dscam[TM1]. Third, different membrane proteins may require distinct combinations of mechanisms to be properly targeted and maintained in certain neuronal compartments. Further analysis of the mutants indentified from my genetic screen will definitely help to resolve the missing pieces of the puzzle. These findings provide novel mechanistic insight into the differential distribution of membrane proteins in polarized neurons.

Functional characterization of biochemically-isolated proteins is a central task in the biochemical and genetic description of the biology of cells and tissues. Protein identification by mass spectrometry consists of associating an isolated protein with a specific gene or protein sequence in silico, thus inferring its specific biochemical function based upon previous characterizations of that protein or a similar protein having that sequence identity. By performing this analysis on a large scale in conjunction with biochemical experiments, novel biological knowledge can be developed. The study presented here focuses on mass spectrometry-based proteomics of organisms with unsequenced genomes and corresponding developments in biological sequence database searching with mass spectrometry data. Conventional methods to identify proteins by mass spectrometry analysis have employed proteolytic digestion, fragmentation of resultant peptides, and the correlation of acquired tandem mass spectra with database sequences, relying upon exact matching algorithms; i.e. the analyzed peptide had to previously exist in a database in silico to be identified. One existing sequence-similarity protein identification method was applied (MS BLAST, Shevchenko 2001) and one alternative novel method was developed (MultiTag), for searching protein and EST databases, to enable the recognition of proteins that are generally unrecognizable by conventional softwares but share significant sequence similarity with database entries (~60-90%). These techniques and available database sequences enabled the characterization of the Xenopus laevis microtubule-associated proteome and the Dunaliella salina soluble salt-induced proteome, both organisms with unsequenced genomes and minimal database sequence resources. These sequence-similarity methods extended protein identification capabilities by more than two-fold compared to conventional methods, making existing methods virtually superfluous. The proteomics of Dunaliella salina demonstrated the utility of MS BLAST as an indispensable method for characterization of proteins in organisms with unsequenced genomes, and produced insight into Dunaliella?s inherent resilience to high salinity. The Xenopus study was the first proteomics project to simultaneously use all three central methods of representation for peptide tandem mass spectra for protein identification: sequence tags, amino acids sequences, and mass lists; and it is the largest proteomics study in Xenopus laevis yet completed, which indicated a potential relationship between the mitotic spindle of dividing cells and the protein synthesis machinery. At the beginning of these experiments, the identification of proteins was conceptualized as using ?conventional? versus ?sequence-similarity? techniques, but through the course of experiments, a conceptual shift in understanding occurred along with the techniques developed and employed to encompass variations in mass spectrometry instrumentation, alternative mass spectrum representation forms, and the complexities of database resources, producing a more systematic description and utilization of available resources for the characterization of proteomes by mass spectrometry and advanced informatic approaches. The experiments demonstrated that proteomics technologies are only as powerful in the field of biology as the biochemical experiments are precise and meaningful.

Functional characterization of biochemically-isolated proteins is a central task in the biochemical and genetic description of the biology of cells and tissues. Protein identification by mass spectrometry consists of associating an isolated protein with a specific gene or protein sequence in silico, thus inferring its specific biochemical function based upon previous characterizations of that protein or a similar protein having that sequence identity. By performing this analysis on a large scale in conjunction with biochemical experiments, novel biological knowledge can be developed. The study presented here focuses on mass spectrometry-based proteomics of organisms with unsequenced genomes and corresponding developments in biological sequence database searching with mass spectrometry data. Conventional methods to identify proteins by mass spectrometry analysis have employed proteolytic digestion, fragmentation of resultant peptides, and the correlation of acquired tandem mass spectra with database sequences, relying upon exact matching algorithms; i.e. the analyzed peptide had to previously exist in a database in silico to be identified. One existing sequence-similarity protein identification method was applied (MS BLAST, Shevchenko 2001) and one alternative novel method was developed (MultiTag), for searching protein and EST databases, to enable the recognition of proteins that are generally unrecognizable by conventional softwares but share significant sequence similarity with database entries (~60-90%). These techniques and available database sequences enabled the characterization of the Xenopus laevis microtubule-associated proteome and the Dunaliella salina soluble salt-induced proteome, both organisms with unsequenced genomes and minimal database sequence resources. These sequence-similarity methods extended protein identification capabilities by more than two-fold compared to conventional methods, making existing methods virtually superfluous. The proteomics of Dunaliella salina demonstrated the utility of MS BLAST as an indispensable method for characterization of proteins in organisms with unsequenced genomes, and produced insight into Dunaliella?s inherent resilience to high salinity. The Xenopus study was the first proteomics project to simultaneously use all three central methods of representation for peptide tandem mass spectra for protein identification: sequence tags, amino acids sequences, and mass lists; and it is the largest proteomics study in Xenopus laevis yet completed, which indicated a potential relationship between the mitotic spindle of dividing cells and the protein synthesis machinery. At the beginning of these experiments, the identification of proteins was conceptualized as using ?conventional? versus ?sequence-similarity? techniques, but through the course of experiments, a conceptual shift in understanding occurred along with the techniques developed and employed to encompass variations in mass spectrometry instrumentation, alternative mass spectrum representation forms, and the complexities of database resources, producing a more systematic description and utilization of available resources for the characterization of proteomes by mass spectrometry and advanced informatic approaches. The experiments demonstrated that proteomics technologies are only as powerful in the field of biology as the biochemical experiments are precise and meaningful.