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Caracterização funcional e biofísica das proteínas RVB-1 e RVB-2 pertencentes a família AAA+ do fungo Neurospora crassa /Campanella, Jonatas Erick Maimoni. January 2018 (has links)
Orientador: Maria Célia Bertolini / Banca: Ana Paula Ulian de Araujo / Banca: Julio Cesar Borges / Resumo: Trabalhos anteriores realizados pelo nosso grupo levaram à identificação da proteína RVB-1 de Neurospora crassa como capaz de se ligar a um fragmento de DNA contendo o motif STRE (Stress Responsive Element). Este elemento de DNA, em Saccharomyces cerevisiae, é descrito estar presente na região promotora de genes responsivos a estresse, incluindo o estresse térmico. Uma busca nos bancos de dados de proteínas mostrou que a RVB-1 apresenta homologia estrutural à proteína RuvBL1 de humanos. Além disso, esta proteína é descrita possuir uma proteína paráloga, RuvBL2 ou Rvb2 de humano e S. cerevisiae, respectivamente, cuja proteína ortóloga em N. crassa foi denominada RVB-2. As proteínas RuvBLs foram encontradas estarem associadas a vários processos celulares, muito provavelmente devido as suas capacidades de formar grandes complexos proteicos e possuírem atividade ATPásica. Neste trabalho, estas proteínas foram parcialmente caracterizadas do ponto de vista funcional, bioquímico e biofísico. Os resultados obtidos por microscopia de fluorescência mostraram que ambas apresentam localização nuclear quando o fungo foi exposto a estresse térmico. A análise da expressão da proteína RVB-V5 mostrou estar aumentada, nessa mesma condição ambiental, quando analisada por Western blot. As duas proteínas foram produzidas na forma recombinante em Escherichia coli, tanto isoladamente quanto juntas, e a análise da expressão mostrou alta estabilidade em solução quando ambas foram produzidas em uma me... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: Previous work by our group identified the Neurospora crassa RVB - 1 protein as able of binding to a DNA fragment containing the Stress Responsive Element (STRE). In Saccharomyces cerevisiae, this element is present in the promoter region of genes responsive to stress, including heat stress. RVB - 1 shows structural homology to human RuvBL1 protein, and is described to have a paralog, the RuvBL2 or Rvb2 protein in human and S. cerevisiae, respect ively. The N. crassa orthologous protein was identified and named RVB - 2. The RuvBLs proteins have been found to be associated with diverse cellular processes, most likely due to their ability to form large protein complexes and to have ATPase activity. In this work, these proteins were functional, biochemical and biophysically characterized. The fluorescence microscopy results showed that both proteins present nuclear localization in the fungus exposed to heat stress. Analyses of protein expression by Weste rn blot showed an increased expression of the RVB - 1 - v5 protei n in this same condition . The two proteins were produced in Escherichia coli, and expression analyses showed higher stability in solution when both were produced together. Both proteins showed in vitro interaction by pulldown analysis. The RVB - 1/2 complex has the secondary structure mostly formed by α - helices as analysis by CD. The size - exclusion chromatography suggested that the complex present different oligomeric structures when analyzed in the absence a... (Complete abstract click electronic access below) / Mestre
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Strukturní studie vybraných komplexů signálních proteinů. / Structural studies of selected signaling protein complexes.Pšenáková, Katarína January 2019 (has links)
The ability of proteins to bind other molecules in response to various stimuli in their microenvironment serves as a platform for extensive regulatory networks coordinating downstream cell actions. The correct function of these signaling pathways depends mostly on noncovalent interactions often affecting the structure of proteins and protein complexes. Understanding the molecular mechanism of a protein function in cell signaling therefore often depends on our knowledge of a three-dimensional structure. In this doctoral thesis, I present the work that led to the understanding of several protein-protein and protein-ligand interactions implicated in cell signaling at the molecular level. I applied nuclear magnetic resonance spectroscopy, small angle X-ray scattering and other biophysical methods to determine the molecular basis of inhibition of four signaling proteins: Calcium/Calmodulin (Ca2+ /CaM)-dependent protein kinase kinase 2 (CaMKK2); protease Caspase-2; Forkhead transcription factor FOXO3, and Apoptosis signal-regulating protein kinase 1 (ASK1). In particular, I investigated the distinct roles of 14-3-3 and Ca2+ /CaM in the regulation of CaMKK2 activity. I also studied in detail the mechanism how 14-3-3 interferes with the caspase-2 oligomerization and its nuclear localization as well as...
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Reconstruction of Cell and Tissue-specific Immune-protein Interactomes Using Single-cell RNA Sequencing DataAlthobaiti, Atheer 04 1900 (has links)
Protein molecules and their interactions via protein-protein interactions (PPIs) are at the
core of cellular functions. While such global PPI networks have been useful for analyzing
gene function and effects of genetic variants, they do not resolve tissue and cell-typespecific
interactions. Here we leverage recent advances in single-cell RNA sequencing
(scRNA-seq) to reconstruct cell-type-specific PPI networks across different tissues to
enable a context-sensitive analysis of immune cells’ gene-protein pathways. Targeting B
cells, T cells, and macrophage cells as a proof-of-principle, we used scRNA-seq data
across different tissues from the Tabula Muris mouse consortium. We mapped the
protein-coding DEGs to a protein-protein interaction network database (STRING v.11).
Topological and global similarity analysis of the networks revealed distinct properties
between tissues highlighting tissue-specific behaviors for each cell type. For example, we
found that degree and clustering coefficients distributions were tissue-specific. Different
cell types and tissues displayed specific characteristics, and in particular, the splenic PPI
networks were different compared to other analyzed tissues for all the immune cell types
examined. For example, the pairwise comparison of the Jaccard index for node similarity
and the mantel test correlation analysis showed that the spleen’ node and PPI networks
are more different than any other tissues for each cell type examined. The physiological
and anatomical properties that distinguish the spleen from other examined tissues might
explain why the splenic PPI networks tend to be less similar compared to other tissues.
The cell-type-specific network analyses using the different distance measures between
the adjacency matrices on the hub nodes such as Euclidean, Manhattan, Jaccard, and
Hamming distances showed a macrophage-specific behavior not observed in B cells and
T cells, confirming their lineage differences. Finally, we explored the rewiring of selected
hub nodes and transcription factors in the PPI networks along with their biological
enrichments to validate our observations. The suggested biological validity of our results
confirms the relevance of data-driven reconstruction of these context-sensitive networks
using more advanced network inference algorithms. In conclusion, scRNA-seq enables
the reconstruction of global unspecific PPI networks into cell and tissue-specific
networks, thereby providing an increased resolution of the biological context.
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Dexamethasone-Induced up-Regulation of the Human Norepinephrine Transporter Involves the Glucocorticoid Receptor and Increased Binding of C/Ebp-β to the Proximal Promoter of Norepinephrine TransporterZha, Qinqin, Wang, Yan, Fan, Yan, Zhu, Meng Yang 01 November 2011 (has links)
Previously, we have found glucocorticoids up-regulate norepinephrine (NE) transporter (NET) expression in vitro. However, the underlying transcriptional mechanism is poorly understood. In this study, the role of glucocorticoids on the transcriptional regulation of NET was investigated. Exposure of neuroblastoma SK-N-BE(2)M17 cells to dexamethasone (Dex) significantly increased NET mRNA and protein levels in a time- and dose-dependent manner. This effect was attenuated by glucocorticoid receptor (GR) antagonist mifepristone, suggesting that up-regulation of NET by Dex was mediated by the GR. In reporter gene assays, exposure of cells to Dex resulted in dose-dependent increases of luciferase activity that were also prevented by mifepristone. Serial deletions of the NET promoter delineated Dex-responsiveness to a -301 to -148 bp region containing a CCAAT/enhancer binding protein-β (C/EBP-β) response element. Co-immunoprecipitation experiments demonstrated that Dex treatment caused the interaction of the GR with C/EBP-β. Chromatin immunoprecipitation (ChIP) assay revealed that Dex exposure resulted in binding of both GR and C/EBP-β to the NET promoter. Further experiments showed that mutation of the C/EBP-β response element abrogated C/EBP-β- and GR-mediated transactivation of NET. These findings demonstrate that Dex-induced increase in NET expression is mediated by the GR via a non-conventional transcriptional mechanism involving interaction of C/EBP-β with a C/EBP-β response element.
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Microcompartmentation of plant glycolytic enzymes with subcellular structuresWojtera, Joanna 20 October 2009 (has links)
Classically considered as a soluble system of enzymes, glycolysis does not conform to the known function and subcellular microcompartmentation pattern. Certain glycolytic enzymes, such as glyceraldehyde-3-phosphate dehydrogenase (GAPDH) could be found at different cellular locations in animal cells, where it exhibited its non-glycolytic activities. Determination of the subcellular localization of two cytosolic GAPDH isoforms from Arabidopsis thaliana (GapC1 and GapC2), fused to Fluorescent Proteins (FP), was investigated in the transiently transformed mesophyll protoplasts, using confocal Laser Scanning Microscopy. Apart from its cytosolic distribution, the nuclear compartmentation of GapC:FP was observed in this study, as well as its punctuate or aggregate-like localization. Part of the GapC:FP foci were observed as mitochondria-associated. A further yeast two-hybrid screen with both GapC isoforms as baits allowed to identify the mitochondrial porin (VDAC3; At5g15090) as a protein-protein interaction partner. Further tests with one-on-one yeast two-hybrid and Bimolecular Fluorescence Complementation (BiFC) assays showed that the detected binding between plant VDAC3 and GapC in yeast cells was false positive. Interestingly, aldolase interacted with VDAC3, as well as with GapC in plant protoplasts, using the BiFC method. On the other hand, no such interaction could be detected in the one-on-one yeast two-hybrid assay. Thus, a model of indirect mitochondrial association of GapC via aldolase that binds directly to mitochondrial porin is proposed to occur only upon certain cellular conditions. Attempts to show the binding of Arabidopsis GAPDH to the actin cytoskeleton in vivo failed, whereas in vitro cosedimentation assays demonstrated that the fully active, recombinant glycolytic enzyme binds to rabbit F-actin. Moreover, is the presence of the GapC cofactor NAD and a reducing agent (DTT), the enzyme might exhibit an actin-bundling activity.
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Computational modeling of protein-protein and protein-peptide interactionsPorter, Kathryn 30 August 2019 (has links)
Protein-protein and protein-peptide interactions play a central role in various aspects of the structural and functional organization of the cell. While the most complete structural characterization is provided by X-ray crystallography, many biological interactions occur in complexes that will not be amenable to direct experimental analysis. Therefore, it is important to develop computational docking methods that start from the structures of component proteins and predict the structure of their complexes, preferably with accuracy close to that provided by X-ray crystallography. This thesis details three applications of computational protein modeling, including the study of antibody maturation mechanisms, and the development of protocols for peptide-protein interaction prediction and template-based modeling of protein complexes.
The first project, a comparative analysis of docking an antigen structure to antibodies across a lineage, reveals insights into antibody maturation mechanisms. A linear relationship between near-native docking results and changes in binding free energy is established, and used to investigate changes in binding affinity following mutation across two antibody-antigen systems: influenza and anthrax. The second project demonstrates that a motif-based search of available protein crystal structures is sufficient to adequately represent the conformational space sampled by a flexible peptide, compared to that of a rigid globular protein. This observation forms the basis for a global peptide-protein docking protocol that has since been implemented into the Structural Bioinformatics Laboratory’s docking web server, ClusPro. Finally, as structure availability remains a roadblock to many studies, researchers turn to homology modeling, in which the desired protein sequence is modeled onto a related structure. This is particularly challenging when the target is a protein complex, further restricting template availability. To address this problem, the third project details the development of a new template-based modeling protocol to be integrated into the ClusPro server. The implementation of a novel template-based search enables users to model both homomeric and heteromeric complexes, greatly expanding ClusPro server functionality. / 2020-08-30T00:00:00Z
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Computational Methods for Analyzing Protein Complexes and Protein-Protein Interactions / タンパク質複合体および相互作用の情報解析手法Ruan, Peiying 23 March 2015 (has links)
京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第19109号 / 情博第555号 / 新制||情||98(附属図書館) / 32060 / 京都大学大学院情報学研究科知能情報学専攻 / (主査)教授 阿久津 達也, 教授 山本 章博, 教授 鹿島 久嗣 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM
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Discovery and Optimization of Cell-Penetrating Peptidyl Therapeutics through Computational and Medicinal ChemistryDougherty, Patrick G. 27 August 2019 (has links)
No description available.
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Protein-Protein Interaction Assay in Phytophthora sojae Using Yeast Two-Hybrid SystemAikebaierjiang, Abasi 06 May 2020 (has links)
No description available.
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Toward a Molecular Mechanism of Phase Separation in Disordered Elastin-Like ProteinsZhang, Yue 08 December 2017 (has links)
Since the last decade, an increasing number of proteins have been shown to be capable of undergoing reversible liquid-liquid phase separation (LLPS) in response to an external stimulus, and the resulting protein-rich phase (coacervate) is considered as one of the main components of membrane-less organelles. Most of these proteins are intrinsically disordered proteins (IDPs) or contain intrinsically disordered regions. More importantly, LLPS often plays an important role in cellular signaling and development of cells and tissues. However, the molecular mechanisms underlying LLPS of proteins remain poorly understood. Elastin-like proteins (ELPs), a class of IDPs derived from the hydrophobic domains of tropoelastin, are known to undergo LLPS reversibly above a concentration-dependent transition temperature (TT), allowing ELPs to be a promising thermo-responsive drug delivery vector for treating cancer. Previous studies have suggested that, as temperature increases, ELPs experience an increased propensity for type II beta-turns. Our hypothesis is that the interaction is initiated at the beta-turn positions. In this work, integrative approaches including experimental and computational methods were employed to study the early stages of ELP phase separation. Using nuclear magnetic resonance spectroscopy (NMR), and paramagnetic relaxation enhancement (PRE), we have characterized structural properties of self-association in several ELPs. NMR chemical shifts suggest that ELPs adopt a beta-turn conformation even at temperatures below the TT. The intermolecular PRE reveals there is a stronger interaction between the higher beta-turn propensity regions. Building on this observation, a series of structural ensembles were generated for ELP incorporating differing amounts of beta-turn bias, from 1% to 90%. To mimic the early stages of the phase change, two monomers were paired, assuming preferential interaction at beta-turn regions. Following dimerization, the ensemble-averaged hydrodynamic properties were calculated for each degree of beta-turn bias, and results were compared with analytical ultracentrifugation (AUC) experiments at various temperatures. The ensemble calculation reveals that accessible surface area changes dramatically as oligomers are formed from monomers with a high beta-turn content. Together, these observations suggest a model where ELP self-association is initiated at beta-turn positions, where the driving force of phase separation is solvent exclusion due to changes in the hydrophobic accessible surface area.
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