Orientador: Carmen Sílvia Bertuzzo / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Ciências Médicas / Made available in DSpace on 2018-08-18T19:02:25Z (GMT). No. of bitstreams: 1 Bonadia_LucianaCardoso_D.pdf: 3915251 bytes, checksum: 0ec73a6295f4f385eff99d2de851f6c8 (MD5) Previous issue date: 2011 / Resumo: A Fibrose Cística (FC) é uma doença autossômica recessiva letal com alta incidência na região sudeste brasileira. É causada por mutações no gene CFTR que codifica uma proteína que se localiza na membrana apical das células epiteliais das vias aeríferas, pâncreas, glândulas salivares e sudoríparas, intestino e aparelho reprodutor, constituindo um canal de cloro. O aumento da viscosidade do muco extracelular é responsável pela maioria das complicações clínicas relacionadas à FC, sendo o acometimento respiratório a principal causa de morbidade e mortalidade. Mais de 1500 mutações foram associadas à FC, divididas em seis classes de acordo com o efeito que causam na produção e atividade da proteína CFTR, sendo a F508del a mais frequente delas. Com o aumento do diagnóstico precoce e melhora da abordagem terapêutica, cada vez mais pacientes chegam à idade adulta. A atenção ao paciente deve acompanhar a mudança demográfica tendo em vista as necessidades específicas da idade sejam clínicas, psicológicas ou sociais. O objetivo desse projeto foi caracterizar uma amostra de pacientes adultos com hipótese diagnóstica de FC e correlacionar os aspectos clínicos, moleculares e fisiológicos. A caracterização clínica foi realizada por pesquisa de dados clínicos no arquivo médico dos pacientes; a molecular foi realizada por métodos de genotipagem como DHPLC, sequenciamento do DNA e MLPA e a fisiológica foi realizada por medidas de corrente intestinal por micro-câmara de Ussing. Foi observado que pacientes sem atividade da CFTR tendem a ser diagnosticados mais cedo. Houve associação entre as classes de mutação de CFTR e a atividade do canal e uma relação entre a gravidade da mutação/inatividade de CFTR e a idade ao diagnóstico, função pulmonar e gravidade avaliada por Escore de Shwachman. Houve associação entre a colonização crônica por Pseudomonas aeruginosa e a obstrução pulmonar avaliada por dados de espirometria. As principais contribuições desse estudo foram: implementação de um método pioneiro no Brasil que além de servir como ferramenta diagnóstica tem sido muito utilizado na pesquisa de novos fármacos para tratamento mutação-dirigidos; caracterização clínica, molecular e fisiológica dos adultos com hipótese diagnóstica de fibrose cística, um grupo de pacientes cada vez mais frequente no atendimento médico dessa doença / Abstract: Cystic Fibrosis (CF) is a lethal autosomal recessive disease with high incidence in Southeast Brazil. It is caused by mutations in the CFTR gene, which encodes a protein that is located in the apical membrane of epithelial cells of airway tract, pancreas, salivary and sweat glands, intestine and reproductive system, forming a chloride channel. The increasing of the viscosity of extracellular mucus is responsible for most clinical complications related to CF, with pulmonary impairment as a major cause of morbidity and mortality. More than 1500 mutations have been associated with CF, divided in six different classes according to the effect on CFTR protein production and activity, F508del being the most common type. With the increase of early diagnosis and improved therapeutic approach, more and more patients reach adulthood. The patient care should follow the demographic shift regarding the specific needs of the age are clinical, psychological or social. The aim of this study was to characterize a sample of adult CF patients with diagnosis of CF and to correlate the clinical, molecular and physiological features. Clinical characterization was obtained from archived medical records. Molecular characterization was performed by genotyping methods such as DHPLC, MLPA and sequencing and physiological characterization was performed by intestinal current measurements by micro-Ussing chamber. It was observed that patients in whom the CFTR channel does not show any residual activity tend to be diagnosed earlier. There was an association between the classes of CFTR mutation and the activity of the channel and a relationship of mutation severity/inactivity of CFTR with the age at diagnosis, lung function and severity score assessed by Shwachman-Kulczycki. There was an association between chronic colonization by Pseudomonas aeruginosa and pulmonary obstruction. The main contributions of this study were: implementation of a method pioneered in Brazil that serves as a diagnostic tool and has been used in researching new drugs for treatment of specifics mutation and clinical, physiological and molecular characterization of adults with cystic fibrosis, a growing group in medical care / Doutorado / Ciencias Biomedicas / Doutor em Ciências Médicas

Class of 2012 Abstract / Specific Aims: The epithelial sodium channels (ENaC) found on the apical membranes of epithelial cells including those lining the respiratory tract are the rate limiting step of the absorption of excess fluid from the airspace of the alveoli. ENaC function is modulated by the effects of various physiologic signals such as the adrenergic and purinergic pathways, in addition to other local channels which control the flow of negatively charged ions such as the cystic fibrosis transmembrane conductance regulator (CFTR). We sought to determine the influence of genetic variation on the alpha subunit of ENaC at amino acid position 663 on baseline exhaled ions and pulmonary function in patients with CF. Methods: We assessed pulmonary function ( forced vital capacity[FVC], forced expiratory volume in one second [FEV1], forced expiratory flow maximum[FEFmax]) using a Medical Graphics cardiopulmonary testing device (Minneapolis, MN). Measures of exhaled sodium (Na+) and chloride (Cl-) were obtained using exhaled breathe condensate collected on a Jaeger Ecoscreen condenser unit (Cardinal Health, Yorba Linda, CA) with Na+ quantification using an atomic absorption spectrophotometer (Analyst 100; Perkin Elmer, Norwalk, CT) and Cl- anion quantification using a Dionex AS11 HC column. Healthy n=31 (n=18[58%], 9[29%], and 4[13%] subjects; Body mass index (BMI)=23±1, 25±2, and 25±2kg/ m2 for AA, AT and TT groups respectively). CF n= 42 (n=33[79%], 7[16%], and 2[5%] subjects; BMI equals 23±7, 19±0.4, and 20±2.2kg/m2 for AA, AT and TT groups respectively). Main Results: We found that the distribution of genotypes in CF differed from healthy subjects, with the AA genotype in 80% of CF and 59% in healthy. No significant difference were demonstrated in healthy subjects between genotype groups for pulmonary function and exhaled chloride while the genotypes did differ in exhaled Na (Na=2.9±0.4, 1.7±0.3, and 3.7±1.1mmol/L for AA, AT, and TT respectively, ANOVA p=0.07). CF subjects with the AA genotype had a higher baseline exhaled Cl-, FEV1, and FEFmax than those in the AA group (Cl=0.125±0.038,0.0 27±0.007, and 0.033±0.02 mmol/L ; FEV1=71±5, 68±11, and 40±22L; FEFmax=86±4, 72±7, and 44±24L/sec; for AA, AT, and TT respectively, ANOVA p<0.05, Tukey [AA vs. TT] p<0.05) while exhaled Na+ and FVC were similar between genotypes. Conclusions: Our results suggest that CF subjects with the AA genotype of the alpha subunit of the ENaC have a higher baseline exhaled Cl- and a resulting increase in pulmonary function when compared to the overactive TT groupCF patients with the TT αENaC genotype are likely candidates for early identification and treatment with inhaled ENaC inhibitors or other modulators of this pathway in order to improve survival.

No description available.

Les glioblastomes sont les tumeurs du système nerveux central les plus fréquentes et agressives. Avec une survie médiane inférieure à 2 ans, les thérapies actuelles restent inefficaces. Cet échec pourrait être expliqué en partie par l’existence de cellules particulières, les cellules souches cancéreuses. Ces cellules ont plusieurs propriétés communes aux cellules souches, qui les rendent résistantes aux traitements des glioblastomes. Il est donc important de pouvoir les identifier et les cibler pour pouvoir éliminer totalement la tumeur. L’objectif de ce travail de thèse est de déterminer des biomarqueurs des cellules souches de glioblastomes (gCSCs). Pour cela, nous avons d’abord développé une méthode générique permettant de prédire des antigènes spécifiques de cancer à partir de données de puces d’expression. Puis, nous avons travaillé sur les gCSCs, en identifiant des biomarqueurs potentiels, puis en étudiant les modifications du signal calcium, dérégulé dans de nombreux cancers. / Glioblastoma are the most common and aggressive nervous system tumors. With a median overall survival smaller than 2 years, usual therapies remain inefficient. This failure could be explained in part by the existence of cancer stem cells. These cells share several properties with stem cells which make them resistant to glioblastoma treatments. This is why it is important to identify and target them to suppress the whole tumor.The goal of this thesis work is to identify glioblastoma stem cells (gCSCs) biomarkers. To this end, we first developed a global method predicting cancer antigens from microarray data. Then, by studying gCSCs we identified several putative biomarkers and generated insights concerning the calcium signals which are deregulated in numerous cancers.

The expression of polysaccharide capsules is common in bacteria and associated with virulence in some pathogenic strains. Strains of the Gram-negative bacterium Escherichia coli express a structurally diverse range of capsular polysaccharides. E. coli strains expressing group 2 capsules are associated with a number of extra-intestinal infections, including sepsis, urinary tract infections, and neonatal meningitis. Group 2 capsular polysaccharides are synthesised on the cytoplasmic face of the inner membrane. Evidence from previous work suggests that export of polysaccharides across the Gram-negative membranes involves four transport proteins which interact to form a continuous membrane-spanning translocation complex (the KpsMTED translocon). Polysaccharide translocation across the inner membrane requires the ABC transporter KpsMT, in which KpsM is the integral inner membrane component and KpsT is the ATPase. Transport across the periplasmic space and outer membrane involves the integral inner membrane protein KpsE and the outer membrane protein KpsD, respectively. This thesis addressed some of the key areas in the study of group 2 polysaccharide transport by employing the K5 capsule as a model system. Using biochemical and molecular genetics approaches, the study focused on establishing functional and structural characteristics of the translocon members and analysing protein-protein interactions within the complex. This study demonstrated that KpsE can self-associate as dimers, tetramers and possibly higher order oligomers in the absence of other capsule gene products and the K5 substrate. A mutagenesis study of KpsE revealed that the periplasmic, membrane-associated C-terminus is essential for correct protein function. Work presented here confirmed previous data, which suggested a direct interaction between KpsE and KpsM, by alternative methods, and demonstrated that the C-terminal domain of KpsE is required for this interaction. Further experiments suggested that KpsE and KpsM can both form higher order oligomers when interacting as a complex. The C-terminus of KpsE is not required for an interaction between KpsE and KpsD, and the two proteins are thus more likely to interact via their respective periplasmic domains. Generation of a theoretical model of the secondary structure and topology of KpsD predicted that KpsD is made primarily of β-sheets with some interspersed α-helices, including a larger coiled coil region. The theoretical topology model proposed an N-terminal transmembrane domain made of eight membrane-spanning regions, and a large periplasmic domain. Substituted-cysteine accessibility method and myc-epitope insertion analysis were both assessed for their suitability for topology analysis of KpsD. Myc-epitope insertion was identified as the recommended approach for future topology study. Myc-epitope tagging of the periplasmic C-terminus of KpsD revealed that a native C-terminus is essential for correct KpsD function.In conclusion, this thesis contributes to the model of group 2 polysaccharide export in E. coli, and, more generally, provides clues about the transport of high-molecular weight molecules across Gram-negative membranes. It is hoped that a thorough understanding of polysaccharide transport might reveal therapeutic targets to block capsule export in pathogenic E. coli in the future.

O mecanismo responsável pela exposição da fosfatidilserina (PS) nas membranas celulares não está bem definido. Uma atividade dependente de ATP está envolvida, provavelmente uma ATPase tipo-P. ATPases tipo P são uma família de proteínas transmembranares envolvidas no transporte de metais, íons e fosfolipídios através da membrana plasmática. As P4 ATPases translocam aminofosfolipidios (APTLs) como a PS durante a apoptose. No entanto, o sentido do transporte de PS pela APLT não está claramente definido. Os macrófagos reconhecem a PS exposta na superfície das células apoptóticas, o que inibe sua capacidade microbicida. Formas promastigotas e amastigotas de Leishmania ssp. sofrem apoptose, porém a exposição de PS na superfície dos promastigotas sempre leva à morte, enquanto que nos amastigotas não está necessariamente associada à morte e permite a internalização desses protozoários e sua sobrevivência no macrófago. Esse trabalho teve como objetivo a caracterização molecular da APLT de L. (L.) amazonensis e a avaliação de seu papel na exposição de PS nesse parasita. / The mechanism responsible for phosphatidylserine (PS) exposure in biological membranes is still an open subject. An ATP-dependent activity is involved, probably a Type P- ATPase. Type P ATPases are a family of transmembrane proteins involved in the transport of metals, ions and phospholipids across plasma membrane. P4 ATPases mediate phospholipid transport (APLT) as PS during the process of cell death by apoptosis. However, the direction (inwards or outwards) of this translocation has not been defined. Macrophages recognize exposed PS on the surface of apoptotic cells, what inhibits their microbicidal capacity. Promastigotes and amastigotes of Leishmania ssp. die by apoptosis, but PS exposure on promastigotes always leads to apoptosis, whereas PS exposure by amastigotes is not necessarily associated to death and allows their internalization and survival in the macrophage. This work aimed to characterize APLT from L. (L.) amazonensis and to evaluate its role in PS exposure in this parasite.

Knowledge of the processes of RNA interference, the regulation of gene expression by small RNAs (sRNAs), has grown at an unprecedented rate over the last 30 years. Some of the findings were literally revolutionary, as they revealed events that overturned many long-held notions. Many phenomena have been shown to be highly conserved and common to organisms of different species, but others are specific to certain lineages or have not yet been fully explored. There is also a lack of knowledge about the interconnection of numerous pathways - for example between silencing at the transcriptional (TGS, leading to the promoter methylation) and post-transcriptional levels (PTGS, affecting mRNA stability or translation). The present work summarizes the findings of two published and two unpublished works and attempts to describe some of the less known sites of RNA interference using various plant model organisms. Research on Solanum tuberosum transgenic lines has revealed the ability of 5-azacytidine to restore the expression of transcriptionally silenced transgenes at the whole plant level. De novo regeneration from leaves of such plants can lead to re-silencing of reactivated transgenes and thus serves as a selection method to exclude lines prone to spontaneous silencing. The nature of changes in the...

No description available.

Historically, the paradigm of similarity of protein sequences implying common structure, function and ancestry was generalized based on studies of globular domains. The implications of sequence similarity among non-globular protein segments have not been studied to the same extent; nevertheless, homology considerations are silently extended for them. This appears especially detrimental in the case of transmembrane helices (TMs) and signal peptides (SPs) where sequence similarity is necessarily a consequence of physical requirements rather than common ancestry. Since the matching of SPs/TMs creates the illusion of matching hydrophobic cores, the inclusion of SPs/TMs into domain models can give rise to wrong annotations. More than 1001 domains among the 10,340 models of Pfam release 23 and 18 domains of SMART version 6 (out of 809) contain SP/TM regions. As expected, fragment mode HMM searches generate promiscuous hits limited to solely the SP/TM part among clearly unrelated proteins. More worryingly, this work shows explicit examples that the scores of clearly false-positive hits, even in globalmode searches, can be elevated into the significance range just by matching the hydrophobic runs. In the PIR iProClass database v3.74 using conservative criteria, this study finds that at least between 2.1% and 13.6% of its annotated Pfam hits appear unjustified for a set of validated domain models. Thus, false positive domain hits enforced by SP/TM regions can lead to dramatic annotation errors where the hit has nothing in common with the problematic domain model except the SP/TM region itself. A workflow of flagging problematic hits arising from SP/TM-containing models for critical reconsideration by annotation users is provided. While E-value guided extrapolation of protein domain annotation from libraries such as Pfam with the HMMER suite is indispensable for hypothesizing about the function of experimentally uncharacterized protein sequences, it can also complicate the annotation problem. In HMMER2, the E-value is computed from the score via a logistic function or via a domain model-specific extreme value distribution (EVD); the lower of the two is returned as E-value for the domain hit in the query sequence. We demonstrated that, for thousands of domain models, this treatment results in switching from the EVD to the statistical model with the logistic function when scores grow (for Pfam release 23, 99% in the global mode and 75% in the fragment mode). If the score corresponding to the breakpoint results in an E-value above a user-defined threshold (e.g., 0.1), a critical score region with conflicting E-values from the logistic function (below the threshold) and from EVD (above the threshold) does exist. Thus, this switch will affect E-value guided annotation decisions in an automated mode. To emphasize, switching in the fragment mode is of no practical relevance since it occurs only at E-values far below 0.1. Unfortunately, a critical score region does exist for 185 domain models in the hmmpfam and 1748 domain models in the hmmsearch global-search mode. For 145 out the respective 185 models, the critical score region is indeed populated by actual sequences. In total, 24.4% of their hits have a logistic function-derived E-value<0.1 when the EVD provides an E-value>0.1. Examples of false annotations are provided and the appropriateness of a logistic function as alternative to the EVD is critically discussed. This work shows that misguided E-value computation coupled with non-globular regions embedded in domain model library not only causes annotation errors in public databases but also limits the extrapolation power of protein function prediction tasks. So far, the preceding work has demonstrated that sequence homology considerations widely used to transfer functional annotation to uncharacterized protein sequences require special precautions in the case of non-globular sequence segments including membrane-spanning stretches from non-polar residues. We found that there are two types of transmembrane helices (TMs) in membrane-associated proteins. On the one hand, there are so-called simple TMs with elevated hydrophobicity, low sequence complexity and extraordinary enrichment in long aliphatic residues. They merely serve as membrane-anchoring device. In contrast, so-called complex TMs have lower hydrophobicity, higher sequence complexity and some functional residues. These TMs have additional roles besides membrane anchoring such as intramembrane complex formation, ligand binding or a catalytic role. Simple and complex TMs can occur both in single- and multi-membrane-spanning proteins essentially in any type of topology. Whereas simple TMs have the potential to confuse searches for sequence homologues and to generate unrelated hits with seemingly convincing statistical significance, complex TMs contain essential evolutionary information. For extending the homologyconcept onto membrane proteins, we provide a necessary quantitative criterion to distinguish simple TMs in query sequences prior to their usage in homology searches based on assessment of hydrophobicity and sequence complexity of the TM sequence segments. Theoretical insights from this work were applied to problems of function prediction for specific uncharacterized gene/protein sequences (for example, APMAP and ARXES) and for the functional classification of TM-containing proteins.

High-throughput genomics projects have resulted in a rapid accumulation of protein sequences. Therefore, computational methods that can predict protein functions and functional sites efficiently and accurately are in high demand. In addition, prediction methods utilizing only sequence information are of particular interest because for most proteins, 3-dimensional structures are not available. However, there are several key challenges in developing methods for predicting protein function and functional sites. These challenges include the following: the construction of representative datasets to train and evaluate the method, the collection of features related to the protein functions, the selection of the most useful features, and the integration of selected features into suitable computational models. In this proposed study, we tackle these challenges by developing procedures for benchmark dataset construction and protein feature extraction, implementing efficient feature selection strategies, and developing effective machine learning algorithms for protein function and functional site predictions. We investigate these challenges in three bioinformatics tasks: the discovery of transmembrane beta-barrel (TMB) proteins in gram-negative bacterial proteomes, the identification of deleterious non-synonymous single nucleotide polymorphisms (nsSNPs), and the identification of helix-turn-helix (HTH) motifs from protein sequence.