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Diss. (sammanfattning) Linköping : Linköpings universitet, 2008. / Härtill 4 uppsatser. Includes bibliographical references.

Diss. (sammanfattning) Linköping : Linköpings universitet, 2008. / Härtill 4 uppsatser.

The process of HIV-1 particle production is a multi-step process directed by the viral structural protein Gag. As Gag is the only viral protein required to form virus-like particles, it presents a viable target for anti-viral therapeutics of which there are currently none. Although the functions of Gag during the particle assembly process have been well characterized, one of the least known parts of the assembly process is how Gag is targeted to the site of virus assembly. Two main virus assembly sites have been identified in cells that support HIV-1 replication: the plasma membrane or multivesicular bodies (MVBs). However the mechanism by which Gag is targeted to either of these sites remains unknown. The δ subunit of Adaptor Protein Complex 3 has previously been identified as a cellular co-factor for HIV-1 Gag and was reported to mediate Gag trafficking to MVBs, providing a mechanism for Gag targeting to this assembly site. Additionally, AP-3δ was reported to be required for HIV-1 production, suggesting that Gag to MVB targeting is also required for HIV-1 production. The work presented in this thesis further investigates the role of AP-3δ in Gag trafficking to MVBs and its role in HIV-1 production in previously unexplored host environments. Through the use of RNA interference-mediated depletion of AP-3δ, we determined that AP-3δ is dispensible for virus replication in infected HeLa cells, chronically infected HeLa-LAV cells and infected primary human monocyte-derived macrophages. We concomitantly disrupted AP-3 function by disrupting its association with membranes and observed no effect on virus production. Collectively, these results demonstrate that AP-3δ is not required for HIV-1 replication. However, AP-3δ was demonstrated to be required for Gag targeting to MVBs thus presenting a new model for the function of AP-3δ in the context of HIV-1 replication.

Molecular Biology has allowed the characterization and manipulation of the molecules of life in the wet lab. Also the structures of those macromolecules are being continuously elucidated. During the last decades of the past century, there was an increasing interest to study how the different genes are organized into different organisms (‘genomes’) and how those genes are expressed into proteins to achieve their functions. Currently the sequences for many genes over several genomes have been determined. In parallel, the efforts to have the structure of the proteins coded by those genes go on. However it is experimentally much harder to obtain the structure of a protein, rather than just its sequence. For this reason, the number of protein structures available in databases is an order of magnitude or so lower than protein sequences. Furthermore, in order to understand how living organisms work at molecular level we need the information about the interaction of those proteins. Elucidating the structure of protein macromolecular assemblies is still more difficult. To that end, the use of computers to predict the structure of these complexes has gained interest over the last decades. The main subject of this thesis is the evaluation of current available computational methods to predict protein – protein interactions and build an atomic model of the complex. The core of the thesis is the evaluation protocol I have developed at Service de Conformation des Macromolécules Biologiques et de Bioinformatique, Université Libre de Bruxelles, and its computer implementation. This method has been massively used to evaluate the results on blind protein – protein interaction prediction in the context of the world-wide experiment CAPRI, which have been thoroughly reviewed in several publications [1-3]. In this experiment the structure of a protein complex (‘the target’) had to be modeled starting from the coordinates of the isolated molecules, prior to the release of the structure of the complex (this is commonly referred as ‘docking’). The assessment protocol let us compute some parameters to rank docking models according to their quality, into 3 main categories: ‘Highly Accurate’, ‘Medium Accurate’, ‘Acceptable’ and ‘Incorrect’. The efficiency of our evaluation and ranking is clearly shown, even for borderline cases between categories. The correlation of the ranking parameters is analyzed further. In the same section where the evaluation protocol is presented, the ranking participants give to their predictions is also studied, since often, good solutions are not easily recognized among the pool of computer generated decoys. An overview of the CAPRI results made per target structure and per participant regarding the computational method they used and the difficulty of the complex. Also in CAPRI there is a new ongoing experiment about scoring previously and anonymously generated models by other participants (the ‘Scoring’ experiment). Its promising results are also analyzed, in respect of the original CAPRI experiment. The Scoring experiment was a step towards the use of combine methods to predict the structure of protein – protein complexes. We discuss here its possible application to predict the structure of protein complexes, from a clustering study on the different results. In the last chapter of the thesis, I present the preliminary results of an ongoing study on the conformational changes in protein structures upon complexation, as those rearrangements pose serious limitations to current computational methods predicting the structure protein complexes. Protein structures are classified according to the magnitude of its conformational re-arrangement and the involvement of interfaces and particular secondary structure elements is discussed. At the end of the chapter, some guidelines and future work is proposed to complete the survey.

La compréhension et la prédiction des relations structure-fonction de protéines par des approches in sillico représentent aujourd'hui un challenge. Malgré le développement récent de méthodes algorithmiques pour l'étude du mouvement et des interactions moléculaires, la flexibilité de macromolécules reste largement hors de portée des outils actuels de modélisation moléculaire. L'objectif de cette thèse est de développer une nouvelle approche basée sur des algorithmes de planification de mouvement issus de la robotique pour mieux traiter la flexibilité moléculaire dans l'étude des interactions protéiques. Nous avons étendu un algorithme récent d'exploration par échantillonnage aléatoire, ML-RRT pour le désassemblage d'objets articulés complexes. Cet algorithme repose sur la décomposition des paramètres de configuration en deux sous-ensembles actifs et passifs, qui sont traités de manière découplée. Les extensions proposées permettent de considérer plusieurs degrés de mobilité pour la partie passive, qui peut être poussée ou attirée par la partie active. Cet outil algorithmique a été appliqué avec succès pour l'étude des changements conformationnels de protéines induits lors de la diffusion d'un ligand. A partir de cette extension, nous avons développé une nouvelle méthode pour la résolution simultanée du séquençage et des mouvements de désassemblage entre plusieurs objets. La méthode, nommée Iterative-ML-RRT, calcule non seulement les trajectoires permettant d'extraire toutes les pièces d'un objet complexe assemblé, mais également l'ordre permettant le désassemblage. L'approche est générale et a été appliquée pour l'étude du processus de dissociation de complexes macromoléculaires en introduisant une fonction d'évaluation basée sur l'énergie d'interaction. Les résultats présentés dans cette thèse montrent non seulement l'efficacité mais aussi la généralité des algorithmes proposés. / Understanding and predicting structure-function relationships in proteins with fully in silico approaches remain today a great challenge. Despite recent developments of computational methods for studying molecular motions and interactions, dealing with macromolecular flexibility largely remains out of reach of the existing molecular modeling tools. The aim of this thesis is to develop a novel approach based on motion planning algorithms originating from robotics to better deal with macromolecular flexibility in protein interaction studies. We have extended a recent sampling-based algorithm, ML-RRT, for (dis)-assembly path planning of complex articulated objects. This algorithm is based on a partition of the configuration parameters into active and passive subsets, which are then treated in a decoupled manner. The presented extensions permit to consider different levels of mobility for the passive parts that can be pushed or pulled by the motion of active parts. This algorithmic tool is successfully applied to study protein conformational changes induced by the diffusion of a ligand inside it. Building on the extension of ML-RRT, we have developed a novel method for simultaneously (dis)assembly sequencing and path planning. The new method, called Iterative-ML-RRT, computes not only the paths for extracting all the parts from a complex assembled object, but also the preferred order that the disassembly process has to follow. We have applied this general approach for studying disassembly pathways of macromolecular complexes considering a scoring function based on the interaction energy. The results described in this thesis prove not only the efficacy but also the generality of the proposed algorithms

Nuclear pre-mRNA splicing proceeds via two mechanistically conserved consecutive trans-esterification reactions catalyzed by the spliceosome. The ordered coalescence of spliceosomal snRNPs and splicing factors on the pre-mRNA, coupled with essential spliceosomal rearrangements poise the splice-sites in proximity for the two catalytic reactions, ensuring intron removal and exon ligation to yield functional mRNA (reviewed in Will and Lührmann, 2006). Scope of the study The S. cerevisiae splicing factors Prp18 and Slu7 and their human homologs function during second catalytic reaction. In S. cerevisiae, Slu7 is essential, whereas Prp18 is dispensable at temperatures <30°C (Vijayraghavan et al., 1989; Vijayraghavan and Abelson, 1990; Frank et al., 1992; Horowitz and Abelson, 1993b; reviewed in Umen and Guthrie, 1995). Slu7 acts in concert with Prp18 and their direct interaction is required for their stable spliceosomal association (Zhang and Schwer, 1997; James et al., 2002). In vitro studies indicate that both the factors are dispensable for splicing of introns with short distances between branch nucleotide to 3’ splice-site (Brys and Schwer, 1996; Zhang and Schwer, 1997). Furthermore, mutational analyses of Slu7 and Prp18 have defined their functional domains/motifs (Frank and Guthrie, 1992; Bacíková and Horowitz, 2002; James et al., 2002). In this study, we have examined functions for the predicted homologs of Slu7 and Prp18 in fission yeast; an evolutionarily divergent organism where splicing mechanisms are not well understood and whose genome harbors genes with predominantly multiple introns with degenerate splice-junction sequences. Towards this goal, a combinatorial approach employing genetic and biochemical methods was undertaken to understand splicing functions and interactions of SpSlu7 and SpPrp18. Our mutational analysis of these protein factors provided an overview of the domains/motifs critical for their in vivo functions. Lastly our analysis of components of the budding yeast Cef1p-associated complex show novel interactions and splicing functions for two uncharacterized, yet evolutionarily conserved proteins. Conserved fission yeast splicing proteins SpSlu7 and SpPrp18 are essential for pre-mRNA splicing but have altered spliceosomal associations and functions Analyzing conserved splicing factors in evolutionarily divergent organisms is an important means to gain deeper functional insights on splicing mechanisms in genomes with varied gene architecture. We initiated our analysis of the ‘predicted’ S. pombe second-step splicing factors: spprp18+ and spslu7+, by genetically depleting these factors. We find spprp18+ is essential for viability, unlike budding yeast PRP18; while SLU7 is essential in both yeasts. The complete essentiality of both these fission yeast factors, prompted us to create conditional-lethal thiamine repressible ‘switch-off’ strains to probe their splicing functions. Through semi-quantitative RT-PCR and northern blot analysis we demonstrate splicing defects for tfIId+ pre-mRNAs upon metabolic depletion of spprp18+ or spslu7+, thus linking their essentiality to a role in pre-mRNA splicing. Further we examined whether their requirement as splicing factors is governed by specific intronic features. We find both factors are required in vivo for removal of several introns. However, for the introns tested, their functions are not strictly correlated with intron length, number, position or the branch-nucleotide to 3’ splice-site distance. The latter features dictate the need for their S. cerevisiae homologs. Strikingly the lack of either one of these essential proteins, arrests splicing before the first catalytic step; implicating possible functions early in spliceosome assembly even before any catalytic event, as opposed to budding yeast Slu7 and Prp18, which are second-step factors assembling late onto the spliceosome after the first splicing reaction. Given the different splicing arrest point, on depletion of SpSlu7 and SpPrp18, we investigated through yeast two-hybrid and co-immunoprecipitation assays whether the direct interaction between these proteins is conserved. We find despite being nuclear localized these proteins do not interact in either of the assays employed. A structural basis for the lack of interaction was provided by our homology modeling of SpPrp18, that was based on the crystal structure of S. cerevisiae Prp1879 (Jiang et al., 2000). Together these data raise the possibility of contextual functions and interactions for these conserved proteins that varies with changes in gene architecture. This likelihood is strengthened by our reciprocal genetic complementation tests; wherein we find that SpSlu7 and SpPrp18 cannot complement the corresponding S. cerevisiae null alleles and vice versa. Additionally, the human homologs, hSlu7 and hPrp18 also failed to rescue null alleles for spslu7+ and spprp18+. To understand the likely point of coalescence of SpSlu7 and SpPrp18 on assembling spliceosomes, we probed their snRNP associations through co-immunoprecipitation analysis. Our data revealed interaction of SpSlu7 with the U2, U5 and U6 snRNPs at moderate salt concentrations with the interaction with U5 snRNP being retained at higher salt conditions. SpPrp18, on the other hand, showed only a very weak association with U5 snRNP. Our analysis thus indicates that the assembly and step of action for “predicted” late-acting splicing factors in fission yeast differs from that in budding yeast, implicating novel interactions and functions for these fission yeast splicing factors. Mutational analysis of fission yeast SpPrp18 and SpSlu7 identifies functional domains To examine the protein domains/motifs critical for the functions of SpPrp18 and SpSlu7, we have performed a mutational study. This analysis was important after our findings that these factors are early acting and do not interact. The data gathered would shed light on the contribution of different domains/motifs in the functional diversification of these factors. Guided by the findings of Bacíková and Horowitz (2002); site-specific missense mutants were created in the highly conserved carboxyl-terminus (CR domain and helix 5) of SpPrp18. Additionally, site-specific missense mutants were generated in a conserved amino-terminus domain that is absent in budding yeast Prp18. Our data showed mutants in the highly conserved helix 5 and the CR domain of SpPrp18 to be recessive and non-functional, despite being stably expressed. This contrasts with the temperature-sensitivity conferred by similar mutants in homologous residues in budding yeast Prp18 (Bacíková and Horowitz, 2002). We speculate that the essentiality of the CR domain and helix 5 mutants of SpPrp18 arises due to a defect in spliceosomal association. However, the mutants in conserved residues in the protein’s amino-terminal domain are phenotypically wild type at various growth temperatures tested, suggesting redundant functions for these residues. Our data, based on analysis of a single missense mutant in the highly conserved zinc knuckle motif of SpSlu7, ascribes essential functions for the zinc knuckle motif. We find the mutant to be recessive and non-functional despite stable expression and normal cellular localization of the mutant protein. This contrasts with the behavior of zinc knuckle mutants in budding yeast and human Slu7. Budding yeast Slu7 mutants are functionally wild type and human Slu7 mutants have an altered cellular localization (Frank and Guthrie, 1992; James et al., 2002; Shomron et al., 2004). Possible roles for the zinc knuckle motif of SpSlu7 could be in facilitating interaction of SpSlu7 with U5 snRNA or even with some protein factor. Functional analysis of budding yeast Cef1p-associated complex SpSlu7 and its budding yeast homolog ScSlu7 co-purify with Cdc5/Cef1 in a complex of ~30 proteins together with U2, U5 and U6 snRNAs (Gavin et al., 2002; Ohi et al., 2002). Functional characterization of six proteins of the budding yeast Cef1p complex: Ydl209c (Cwc2/Ntc40), Ycr063w (Cwc14/Bud31), Yju2 (Cwc16), Ygr278w (Cwc22), Ylr424w (Spp382/Ntr1) and Ygl128c (Cwc23) was initiated using a combination of genetic and biochemical approaches. We probed direct protein-protein interactions between members of the Cef1p-associated complex by yeast two-hybrid assays. We also examined the pre-mRNA splicing roles for an essential factor, Yju2/Cwc16 and for a non-essential factor, Ycr063w/Cwc14. Our data reveals direct interaction between Yju2 and early acting factors, Syf1/Ntc90 and Clf1/Ntc77. Similarly interaction of Ydl209c/Cwc2 with early acting splicing factors, Prp19, Syf1/Ntc90 and Clf1/Ntc77 was noted. We created a temperature-sensitive expression strain for YJU2 using a temperature-sensitive Gal4 transcription trans-activator (Chakshusmathi et al., 2004; Mondal et al., 2007) to interrogate the splicing functions of YJU2. RT-PCR and northern blot assays show that depletion of YJU2 causes splicing defects for intron containing pre-mRNAs. We predict early splicing functions for YJU2 as is known for its interacting partners. Furthermore, we find that genetic depletion of the non-essential factor YCR063w causes temperature-sensitivity as has been reported for a few other factors (for e.g. Prp17, Lea1, Snt309/Ntc25, Ecm2) of Cef1p-associated complex (Jones et al, 1995; Chen et al., 1998). Although our yeast two-hybrid data does not reveal any direct interactions between Ycr063w and other proteins of the Cef1p-associated complex, we probed its functions through in vitro splicing assays. Splicing extracts from ycr063w/ycr063w cells show compromised second-step splicing at higher temperatures, thereby implying an auxiliary function for Ycr063w in stabilizing some functionally critical interactions during splicing. These studies employing complementary genetic and biochemical approaches implicate functional divergence of conserved predicted ‘second-step’ fission yeast factors, SpSlu7 and SpPrp18, suggesting co-evolution of splicing factors with changes in genome architecture and intron-exon structure. Our studies on Cef1p-associated complex show novel interactions and implicate pre-mRNA splicing functions for two previously uncharacterized proteins.

Protein complexes are critical to virtually every biological process performed by living organisms. The cellular “interactome”, or set of physical protein-protein interactions, is of particular interest, but no comprehensive study of human multi-protein complexes has yet been reported. In this Thesis, I describe the development of a novel high-throughput profiling method, which I term Fractionomic Profiling-Mass Spectrometry (or FP-MS), in which biochemical fractionation using non-denaturing high performance liquid chromatography (HPLC), as an alternative to affinity purification (e.g. TAP tagging) or immuno-precipitation, is coupled with tandem mass spectrometry-based protein identification for the global detection of stably-associated protein complexes in mammalian cells or tissues. Using a cell culture model system, I document proof-of-principle experiments confirming the suitability of this method for monitoring large numbers of soluble, stable protein complexes from either crude protein extracts or enriched sub-cellular compartments. Next, I document how, using orthogonal functional genomics information generated in collaboration with computational biology groups as filters, we applied FP-MS co-fractionation profiling to construct a high-quality map of 622 predicted unique soluble human protein complexes that could be biochemically enriched from HeLa and HEK293 nuclear and cytoplasmic extracts. Our network is enriched in assemblies consisting of human disease-linked proteins and contains hundreds of putative new components and novel complexes, many of which are broadly evolutionarily conserved. This study revealed unexpected biological associations, such as the GNL3, FTSJ3, and MKI67IP factors involved in 60S ribosome assembly. It is my expectation that this first systematic, experimentally-derived atlas of putative human protein complexes will constitute a starting point for more in depth, hypothesis-driven functional investigations of basic human molecular and cellular biology. I also note that my generic FP-MS screening approach can, and is currently, being applied by other members of the Emili laboratory to examine the global interactomes of other mammalian cell lines, tissues, sub-cellular compartments, and diverse model organisms, which should expand our understanding of proteome adaptations and association networks associated with cell physiology, animal development and molecular evolution.

Regulated secretion of hormones, digestive enzymes and other biologically active molecules requires formation of secretory granules. However, the molecular machinery required for secretory granule biogenesis is incompletely understood. I used powerful genetic approaches available in the fruit fly Drosophila melanogaster to investigate the factors required for biogenesis of mucin-containing ‘glue granules,’ which form within epithelial cells of the third-instar larval salivary gland. I discovered that clathrin and the clathrin adaptor protein complex (AP-1), as well the enzyme type II phosphatidylinositol 4-kinase (PI4KII), are indispensable for glue granule biogenesis. Clathrin and AP-1 are necessary for maturation of exocrine, endocrine and neuroendocrine secretory granules in mammalian cells. I found that Drosophila clathrin and AP-1 colocalize at the TGN and that clathrin recruitment requires AP-1. I further showed that clathrin and AP-1 colocalize with secretory cargo at the TGN and on glue granules. Finally, I demonstrated that loss of clathrin or AP-1 leads to a profound block in secretory granule biogenesis. These findings establish a novel role for AP-1/clathrin-dependent trafficking in the formation of mucin-containing secretory granules. Type II phosphatidylinositol 4-kinase (PI4KII) generates the membrane lipid phosphatidylinositol 4-phosphate (PI4P) at the trans-Golgi network and is required to recruit cargo to endosomes in mammalian cells. I generated null mutations in the sole Drosophila PI4KII and demonstrated a role for PI4KII in both glue granule and pigment granule biogenesis. PI4KII mutant salivary gland cells exhibit small glue granules and mislocalize glue protein to abnormally large late endosomes. Additionally, PI4KII mutants exhibit altered distribution of the granule specific SNARE, SNAP-24. These data point to a crucial role for PI4KII in sorting of regulated secretory products during granule biogenesis. Together, my results indicate that the larval salivary gland is a valuable system for investigating molecular mechanisms involved in secretory granule biogenesis, and provide a framework for future studies using this system.

Thesis (Ph.D.)--University of Alabama at Birmingham, 2009. / Title from PDF title page (viewed on Feb. 3, 2010). Includes bibliographical references.