Thesis (Ph. D.)--Washington State University, December 2007. / Includes bibliographical references (p. 98-107).

Thesis (M. Phil.)--University of Hong Kong, 2006. / Title proper from title frame. Also available in printed format.

Thesis (Ph. D.)--Ohio State University, 2006. / Title from first page of PDF file. Includes bibliographical references (p. 117-122).

Bovine adenovirus type 3 (BAdV-3) is a non-enveloped icosahedral particle which contains a double stranded DNA genome. The genome of BAdV-3 is organized into early, intermediate and late regions. The late region is organized into seven regions L1-L7 (Reddy et.al., 1998). The L6 region of late transcription unit of BAdV-3 encodes one of the non structural protein named 33K protein. The objective of the present study was to characterize the 33K protein and to identify the viral/cellular proteins involved in the interaction with 33K protein.<p> The RT-PCR analysis revealed the presence of spliced and unsliced mRNAs encoding 33K and 22K proteins respectively in BAdV-3 infected cells. The 33K and 22K proteins share a N-terminus region of 138 amino acids. To determine the specificity of these two proteins, rabbit polyclonal antiserum was raised against peptides representing unique C- terminal regions of the proteins. Anti-33Kp serum detected two major proteins of 42 kDa and 22 kDa and five minor proteins of 39kDa, 35kDa, 29kDa, 25kDa and 19kDa in BAdV-3 infected cells or 33K transfected cells. Similarly, anti-22Kp serum detected three proteins of 41kDa, 39kDa and 37kDa in BAdV-3 infected cells. However, a protein of 39kDa and 37kDa was detected in 22K (having splice sites removed) transfected cells. The 33K protein is predominantly localized to the nucleus of BAdV-3 infected cells and is involved in stimulating the transcription from major late promoter. Analysis of mutant 33K proteins demonstrated that amino acids 201-240 and amino acid 204-231 are required for nuclear localization and MLP transactivation.<p> The adenovirus 33K protein appears to be a multifunctional protein performing different role in viral infection. Earlier study has shown that the 33K protein plays a role in viral capsid assembly and efficient capsid DNA interaction in BAdV-3 (Kulshreshtha et.al., 2004). The involvement of 33K protein in different steps of adenovirus replication may require protein protein interaction. Using 33K protein as bait in yeast two hybrid system, open reading frames (ORFs) of BAdV-3 were screened for the potential interactions with 33K protein. The 33K protein showed specific interactions with two late viral proteins- 100K and protein V (pV). The yeast two hybrid findings were validated by in vitro binding using <i>in vitro</i> synthesized transcription-translation products. It was demonstrated that the interaction of 33K with 100K and pV takes place during BAdV-3 infection. The stretch of amino acids 81-120 and 161-200 in 33K protein were involved in the interaction with pV and 100K protein.<p> For screening the cellular interactions, the 33K protein was used as a bait to screen bovine retina cDNA library. The yeast two hybrid screening revealed that the 33K protein appears to interact with bovine presenilin-1-associated protein / mitochondrial carrier homolog 1 (BoPSAP / BoMtch1) and bovine microtubule associated protein (BoMAP). However, subsequent analysis by various <i>in vitro</i> and <i>in vivo</i> assays could only confirm the interaction between 33K protein and BoPSAP/BoMtch1. In addition, the 33K protein was also shown to be colocalized with BoPSAP in mitochondria. Based on these observations, it may be possible that 33K protein may play an anti-apoptotic by interacting with BoPSAP since the human homolog of PSAP has been known to induce apoptosis.

Understanding normal and cancer cell biology requires the development and application of systems biology approaches capable of probing the functional human proteome, and the protein-protein interactions (PPIs) within it. Such technologies will facilitate our understanding of how molecular events drive phenotypic outcomes, and how these processes are perturbed in disease conditions. In this thesis, I first describe the development of a mammalian, Gateway compatible, lentivirus-based protein-fragment complementation assay (magical-PCA), for the in vivo high-throughput identification of PPIs in mammalian cells. This technology provides a vast improvement over current PCA methodologies by allowing for pooled, proteome-scale mapping of PPIs in any mammalian cell line of interest, using any bait protein of interest. A proof-of-concept pooled genome-scale screen using the magical-PCA approach was performed using the human mitochondrial protein TOMM22 as a bait, providing evidence that this technology is amenable to proteome-wide screens. Moreover, the TOMM22 screens offered novel insight into links between TOMM22 and proteins involved in mitochondrial organization, apoptosis, and cell cycle dynamics. Second, I performed a pooled genome-scale magical-PCA screen with the oncoprotein BMI1, a component of the E3 ubiquitin ligase complex involved in histone H2A mono-ubiquitination and gene silencing, to identify novel BMI1 protein interactors. Consequently, I have uncovered a novel physical and functional association between BMI1 and components of the mammalian splicing machinery. I further discovered that BMI1 knockdown influenced the alternative splicing of a number of cellular pre-mRNAs in colon cancer cell lines, suggesting that the association between BMI1 and cellular splicing factors impinges on pre-mRNA processing. Importantly, BMI1 expression was shown to influence the alternative splicing of the SS18 oncoprotein towards an exon 8-excluded isoform, which was shown in this study to promote cell proliferation when assessed in an anchorage-independent growth assay. Together, these studies highlight the development of a new methodology for the detection and proteome-scale screening of mammalian PPIs. A proof-of-concept screen with human TOMM22 highlighted the utility of the approach, as I was able to detect both strong and weak or transient PPIs. Application of my screening methodology to BMI1 provided crucial insight into the function of this oncoprotein, and BMI1-driven tumorigenesis.

Four and a half LIM domains protein 1 (FHL1), consisting of 4.5 protein interaction mediating LIM domains, is a predominantly skeletal muscle protein that has consistently been upregulated in a variety of cardiovascular diseases. Since proteins mediate their functions in conjunction with other proteins, it was considered that delineation of interactions would provide insight into FHL1’s regulation and regulatory functions. We performed tandem affinity purification (TAP) from human embryonic kidney 293 (HEK-293) cells to purify tagged FHL1 and interacting proteins. Samples were analyzed using gel-free liquid chromatography mass spectrometry (LC-MS). 61 high confidence potential interactors were identified from multiple experiments. Validation of interactions was then performed by co-immunoprecipitation (co-IP) or streptavidin bead pull down, and supported by immunofluorescent colocalization studies. FHL1 interactions could thus be supported for four novel candidates: non-muscle α-actinin 1 (ACTN1), PDZ and LIM domain protein 1 (PDLIM1), cytoplasmic gelsolin (GSN), and ryanodine receptor 1 (RYR1).

Alx4 is a paired-type homeodomain transcription factor that plays a key role in development, strongly expressed in the first branchial arch and craniofacial region. Pax3 also belongs to this family, and it displays a similar pattern of expression to that of Alx4. When Pax3 or Alx4 activity is lost individually, defects arise in an overlapping set of embryonic structures. In addition to their expression patterns, this suggests that these two factors may interact to play a role in normal murine development. We demonstrate an overlapping pattern of expression of Pax3 and Alx4 in the developing embryo and that Pax3 and Alx4 physically interact in vivo and in vitro. Pax3 and Alx4 can activate transcription from a P3 homeodomain consensus site, and preliminary analysis of mice null for both Pax3 and Alx4 show a novel mutant phenotype. We have therefore demonstrated a physical and genetic interaction between Pax3 and Alx4.

The currently known network of human protein-protein interactions (PPIs) is providing new insights into diseases and helping to identify potential therapies. However, according to several estimates, the known interaction network may represent only 10% of the entire interactome - indicating that more comprehensive knowledge of the interactome could have a major impact on understanding and treating diseases. The primary aim of this thesis was to develop computational methods to provide increased coverage of the interactome. A secondary aim was to gain a better understanding of the link between networks and phenotype, by analyzing essential mouse genes. Two algorithms were developed to predict PPIs and provide increased coverage of the interactome: FpClass and mixed co-expression. FpClass differs from previous PPI prediction methods in two key ways: it integrates both positive and negative evidence for protein interactions, and it identifies synergies between predictive features. Through these approaches FpClass provides interaction networks with significantly improved reliability and interactome coverage. Compared to previous predicted human PPI networks, FpClass provides a network with over 10 times more interactions, about 2 times more proteins and a lower false discovery rate. This network includes 595 disease related proteins from OMIM and Cancer Gene Census which have no previously known interactions. The second method, mixed co-expression, aims to predict transient PPIs, which have proven difficult to detect by computational and experimental methods. Mixed co-expression makes predictions using gene co-expression and performs significantly better (p < 0.05) than the previous method for predicting PPIs from co-expression. It is especially effective for identifying interactions of transferases and signal transduction proteins. For the second aim of the thesis, we investigated the relationship between gene essentiality and diverse gene/protein features based on gene expression, PPI and gene co-expression networks, gene/protein sequence, Gene Ontology, and orthology. We identified non-redundant features closely associated with essentiality, including centrality in PPI and gene co-expression networks. We found that no single predictive feature was effective for all essential genes; most features, including centrality, were less effective for genes associated with postnatal lethality and infertility. These results suggest that understanding phenotype will require integrating measures of network topology with information about the biology of the network’s nodes and edges.

Four and a half LIM domains protein 1 (FHL1), consisting of 4.5 protein interaction mediating LIM domains, is a predominantly skeletal muscle protein that has consistently been upregulated in a variety of cardiovascular diseases. Since proteins mediate their functions in conjunction with other proteins, it was considered that delineation of interactions would provide insight into FHL1’s regulation and regulatory functions. We performed tandem affinity purification (TAP) from human embryonic kidney 293 (HEK-293) cells to purify tagged FHL1 and interacting proteins. Samples were analyzed using gel-free liquid chromatography mass spectrometry (LC-MS). 61 high confidence potential interactors were identified from multiple experiments. Validation of interactions was then performed by co-immunoprecipitation (co-IP) or streptavidin bead pull down, and supported by immunofluorescent colocalization studies. FHL1 interactions could thus be supported for four novel candidates: non-muscle α-actinin 1 (ACTN1), PDZ and LIM domain protein 1 (PDLIM1), cytoplasmic gelsolin (GSN), and ryanodine receptor 1 (RYR1).

Alx4 is a paired-type homeodomain transcription factor that plays a key role in development, strongly expressed in the first branchial arch and craniofacial region. Pax3 also belongs to this family, and it displays a similar pattern of expression to that of Alx4. When Pax3 or Alx4 activity is lost individually, defects arise in an overlapping set of embryonic structures. In addition to their expression patterns, this suggests that these two factors may interact to play a role in normal murine development. We demonstrate an overlapping pattern of expression of Pax3 and Alx4 in the developing embryo and that Pax3 and Alx4 physically interact in vivo and in vitro. Pax3 and Alx4 can activate transcription from a P3 homeodomain consensus site, and preliminary analysis of mice null for both Pax3 and Alx4 show a novel mutant phenotype. We have therefore demonstrated a physical and genetic interaction between Pax3 and Alx4.