Caracterização funcional de um fator de transcrição hipotético no fungo Neurospora crassa

Pós-graduação em Biotecnologia - IQ

MicroRNoma do carcinoma de pâncreas

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Caracterização biofísica da interação entre a proteína M2-1 do Vírus Sincicial Respiratório Humano (HRSV) com quercetina

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Um novo protocolo in silico para a predição de complexos flexíveis entre proteínas: estudo de caso para inibidores plasmáticos de fosfolipase A2 de serpentes

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Assessing the gain of biological data integration in gene networks inference

Background: A current challenge in gene annotation is to define the gene function in the context of the network of relationships instead of using single genes. The inference of gene networks (GNs) has emerged as an approach to better understand the biology of the system and to study how several components of this network interact with each other and keep their functions stable. However, in general there is no sufficient data to accurately recover the GNs from their expression levels leading to the curse of dimensionality, in which the number of variables is higher than samples. One way to mitigate this problem is to integrate biological data instead of using only the expression profiles in the inference process. Nowadays, the use of several biological information in inference methods had a significant increase in order to better recover the connections between genes and reduce the false positives. What makes this strategy so interesting is the possibility of confirming the known connections through the included biological data, and the possibility of discovering new relationships between genes when observed the expression data. Although several works in data integration have increased the performance of the network inference methods, the real contribution of adding each type of biological information in the obtained improvement is not clear. Methods: We propose a methodology to include biological information into an inference algorithm in order to assess its prediction gain by using biological information and expression profile together. We also evaluated and compared the gain of adding four types of biological information: (a) protein-protein interaction, (b) Rosetta stone fusion proteins, (c) KEGG and (d) KEGG+GO. Results and conclusions: This work presents a first comparison of the gain in the use of prior biological information in the inference of GNs by considering the eukaryote (P. falciparum) organism. Our results indicates that information based on direct interaction can produce a higher improvement in the gain than data about a less specific relationship as GO or KEGG. Also, as expected, the results show that the use of biological information is a very important approach for the improvement of the inference. We also compared the gain in the inference of the global network and only the hubs. The results indicates that the use of biological information can improve the identification of the most connected proteins.

Discriminating Different Classes of Biological Networks by Analyzing the Graphs Spectra Distribution

The brain's structural and functional systems, protein-protein interaction, and gene networks are examples of biological systems that share some features of complex networks, such as highly connected nodes, modularity, and small-world topology. Recent studies indicate that some pathologies present topological network alterations relative to norms seen in the general population. Therefore, methods to discriminate the processes that generate the different classes of networks (e. g., normal and disease) might be crucial for the diagnosis, prognosis, and treatment of the disease. It is known that several topological properties of a network (graph) can be described by the distribution of the spectrum of its adjacency matrix. Moreover, large networks generated by the same random process have the same spectrum distribution, allowing us to use it as a "fingerprint". Based on this relationship, we introduce and propose the entropy of a graph spectrum to measure the "uncertainty" of a random graph and the Kullback-Leibler and Jensen-Shannon divergences between graph spectra to compare networks. We also introduce general methods for model selection and network model parameter estimation, as well as a statistical procedure to test the nullity of divergence between two classes of complex networks. Finally, we demonstrate the usefulness of the proposed methods by applying them to (1) protein-protein interaction networks of different species and (2) on networks derived from children diagnosed with Attention Deficit Hyperactivity Disorder (ADHD) and typically developing children. We conclude that scale-free networks best describe all the protein-protein interactions. Also, we show that our proposed measures succeeded in the identification of topological changes in the network while other commonly used measures (number of edges, clustering coefficient, average path length) failed.

Natural intracellular peptides can modulate the interactions of mouse brain proteins and thimet oligopeptidase with 14-3-3e and calmodulin

Protein interactions are crucial for most cellular process. Thus, rationally designed peptides that act as competitive assembly inhibitors of protein interactions by mimicking specific, determined structural elements have been extensively used in clinical and basic research. Recently, mammalian cells have been shown to contain a large number of intracellular peptides of unknown function. Here, we investigate the role of several of these natural intracellular peptides as putative modulators of protein interactions that are related to Ca2+-calmodulin (CaM) and 14-3-3 epsilon, which are proteins that are related to the spatial organization of signal transduction within cells. At concentrations of 1-50 mu M, most of the peptides that are investigated in this study modulate the interactions of CaM and 14-3-3 epsilon with proteins from the mouse brain cytoplasm or recombinant thimet oligopeptidase (EP24.15) in vitro, as measured by surface plasmon resonance. One of these peptides (VFDVELL; VFD-7) increases the cytosolic Ca2+ concentration in a dose-dependent manner but only if introduced into HEK293 cells, which suggests a wide biological function of this peptide. Therefore, it is exciting to suggest that natural intracellular peptides are novel modulators of protein interactions and have biological functions within cells.

Identification of intracellular peptides in rat adipose tissue: Insights into insulin resistance

Intracellular peptides generated by the proteasome and oligopeptidases have been suggested to function in signal transduction and to improve insulin resistance in mice fed a high-caloric diet. The aim of this study was to identify specific intracellular peptides in the adipose tissue of Wistar rats that could be associated with the physiological and therapeutic control of glucose uptake. Using semiquantitative mass spectrometry and LC/MS/MS analyses, we identified ten peptides in the epididymal adipose tissue of the Wistar rats; three of these peptides were present at increased levels in rats that were fed a high-caloric Western diet (WD) compared with rats fed a control diet (CD). The results of affinity chromatography suggested that in the cytoplasm of epididymal adipose tissue from either WD or CD rats, distinctive proteins bind to these peptides. However, despite the observed increase in the WD animals, the evaluated peptides increased insulin-stimulated glucose uptake in 3T3-L1 adipocytes treated with palmitate. Thus, intracellular peptides from the adipose tissue of Wistar rats can bind to specific proteins and facilitate insulin-induced glucose uptake in 3T3-L1 adipocytes.

Structure of the haptoglobin-haemoglobin complex

Red cell haemoglobin is the fundamental oxygen-transporting molecule in blood, but also a potentially tissue-damaging compound owing to its highly reactive haem groups. During intravascular haemolysis, such as in malaria and haemoglobinopathies(1), haemoglobin is released into the plasma, where it is captured by the protective acute-phase protein haptoglobin. This leads to formation of the haptoglobin-haemoglobin complex, which represents a virtually irreversible non-covalent protein-protein interaction(2). Here we present the crystal structure of the dimeric porcine haptoglobin-haemoglobin complex determined at 2.9 angstrom resolution. This structure reveals that haptoglobin molecules dimerize through an unexpected beta-strand swap between two complement control protein (CCP) domains, defining a new fusion CCP domain structure. The haptoglobin serine protease domain forms extensive interactions with both the alpha- and beta-subunits of haemoglobin, explaining the tight binding between haptoglobin and haemoglobin. The haemoglobin-interacting region in the alpha beta dimer is highly overlapping with the interface between the two alpha beta dimers that constitute the native haemoglobin tetramer. Several haemoglobin residues prone to oxidative modification after exposure to haem-induced reactive oxygen species are buried in the haptoglobin-haemoglobin interface, thus showing a direct protective role of haptoglobin. The haptoglobin loop previously shown to be essential for binding of haptoglobin-haemoglobin to the macrophage scavenger receptor CD163 (ref. 3) protrudes from the surface of the distal end of the complex, adjacent to the associated haemoglobin alpha-subunit. Small-angle X-ray scattering measurements of human haptoglobin-haemoglobin bound to the ligand-binding fragment of CD163 confirm receptor binding in this area, and show that the rigid dimeric complex can bind two receptors. Such receptor cross-linkage may facilitate scavenging and explain the increased functional affinity of multimeric haptoglobin-haemoglobin for CD163 (ref. 4).

Transcriptional profiling of Saccharomyces cerevisiae exposed to propolis

Abstract Background Propolis is a natural product of plant resins collected by honeybees (Apis mellifera) from various plant sources. Our previous studies indicated that propolis sensitivity is dependent on the mitochondrial function and that vacuolar acidification and autophagy are important for yeast cell death caused by propolis. Here, we extended our understanding of propolis-mediated cell death in the yeast Saccharomyces cerevisiae by applying systems biology tools to analyze the transcriptional profiling of cells exposed to propolis. Methods We have used transcriptional profiling of S. cerevisiae exposed to propolis. We validated our findings by using real-time PCR of selected genes. Systems biology tools (physical protein-protein interaction [PPPI] network) were applied to analyse the propolis-induced transcriptional bevavior, aiming to identify which pathways are modulated by propolis in S. cerevisiae and potentially influencing cell death. Results We were able to observe 1,339 genes modulated in at least one time point when compared to the reference time (propolis untreated samples) (t-test, p-value 0.01). Enrichment analysis performed by Gene Ontology (GO) Term finder tool showed enrichment for several biological categories among the genes up-regulated in the microarray hybridization such as transport and transmembrane transport and response to stress. Real-time RT-PCR analysis of selected genes showed by our microarray hybridization approach was capable of providing information about S. cerevisiae gene expression modulation with a considerably high level of confidence. Finally, a physical protein-protein (PPPI) network design and global topological analysis stressed the importance of these pathways in response of S. cerevisiae to propolis and were correlated with the transcriptional data obtained thorough the microarray analysis. Conclusions In summary, our data indicate that propolis is largely affecting several pathways in the eukaryotic cell. However, the most prominent pathways are related to oxidative stress, mitochondrial electron transport chain, vacuolar acidification, regulation of macroautophagy associated with protein target to vacuole, cellular response to starvation, and negative regulation of transcription from RNA polymerase II promoter. Our work emphasizes again the importance of S. cerevisiae as a model system to understand at molecular level the mechanism whereby propolis causes cell death in this organism at the concentration herein tested. Our study is the first one that investigates systematically by using functional genomics how propolis influences and modulates the mRNA abundance of an organism and may stimulate further work on the propolis-mediated cell death mechanisms in fungi.

Acute inhibition of excessive mitochondrial fission after myocardial infarction prevents long-term cardiac dysfunction

BACKGROUND: Ischemia and reperfusion (IR) injury remains a major cause of morbidity and mortality and multiple molecular and cellular pathways have been implicated in this injury. We determined whether acute inhibition of excessive mitochondrial fission at the onset of reperfusion improves mitochondrial dysfunction and cardiac contractility postmyocardial infarction in rats. METHODS AND RESULTS: We used a selective inhibitor of the fission machinery, P110, which we have recently designed. P110 treatment inhibited the interaction of fission proteins Fis1/Drp1, decreased mitochondrial fission, and improved bioenergetics in three different rat models of IR, including primary cardiomyocytes, ex vivo heart model, and an in vivo myocardial infarction model. Drp1 transiently bound to the mitochondria following IR injury and P110 treatment blocked this Drp1 mitochondrial association. Compared with control treatment, P110 (1 μmol/L) decreased infarct size by 28 ± 2% and increased adenosine triphosphate levels by 70+1% after IR relative to control IR in the ex vivo model. Intraperitoneal injection of P110 (0.5 mg/kg) at the onset of reperfusion in an in vivo model resulted in improved mitochondrial oxygen consumption by 68% when measured 3 weeks after ischemic injury, improved cardiac fractional shortening by 35%, reduced mitochondrial H2O2 uncoupling state by 70%, and improved overall mitochondrial functions. CONCLUSIONS: Together, we show that excessive mitochondrial fission at reperfusion contributes to long-term cardiac dysfunction in rats and that acute inhibition of excessive mitochondrial fission at the onset of reperfusion is sufficient to result in long-term benefits as evidenced by inhibiting cardiac dysfunction 3 weeks after acute myocardial infarction.

Ruolo dell'Enantiomero (R)-9-HSA nel controllo della proliferazione in una linea di Adenocarcinoma del Colon umano

9-hydroxystearic acid (9-HSA) is an endogenous lipoperoxidation product and its administration to HT29, a colon adenocarcinoma cell line, induced a proliferative arrest in G0/G1 phase mediated by a direct activation of the p21WAF1 gene, bypassing p53. We have previously shown that 9-HSA controls cell growth and differentiation by inhibiting histone deacetylase 1 (HDAC1) activity, showing interesting features as a new anticancer drug. The interaction of 9-HSA with the catalytic site of the 3D model has been tested with a docking procedure: noticeably, when interacting with the site, the (R)-9-enantiomer is more stable than the (S) one. Thus, in this study, (R)- and (S)-9-HSA were synthesized and their biological activity tested in HT29 cells. At the concentration of 50 M (R)-9-HSA showed a stronger antiproliferative effect than the (S) isomer, as indicated by the growth arrest in G0/G1. The inhibitory effect of (S)-9-HSA on HDAC1, HDAC2 and HDAC3 activity was less effective than that of the (R)-9-HSA in vitro, and the inhibitory activity of both the (R)- and the (S)-9-HSA isomer, was higher on HDAC1 compared to HDAC2 and HDAC3, thus demonstrating the stereospecific and selective interaction of 9-HSA with HDAC1. In addition, histone hyperacetylation caused by 9-HSA treatment was examined by an innovative HPLC/ESI/MS method. Analysis on histones isolated from control and treated HT29 confirmed the higher potency of (R)-9-HSA compared to (S)-9-HSA, severely affecting H2A-2 and H4 acetylation. On the other side, it seemed of interest to determine whether the G0/G1 arrest of HT29 cell proliferation could be bypassed by the stimulation with the growth factor EGF. Our results showed that 9-HSA-treated cells were not only prevented from proliferating, but also showed a decreased [3H]thymidine incorporation after EGF stimulation. In this condition, HT29 cells expressed very low levels of cyclin D1, that didn’t colocalize with HDAC1. These results suggested that the cyclin D1/HDAC1 complex is required for proliferation. Furthermore, in the effort of understanding the possible mechanisms of this effect, we have analyzed the degree of internalization of the EGF/EGFR complex and its interactions with HDAC1. EGF/EGFR/HDAC1 complex quantitatively increases in 9-HSA-treated cells but not in serum starved cells after EGF stimulation. Our data suggested that 9-HSA interaction with the catalytic site of the HDAC1 disrupts the HDAC1/cyclin D1 complex and favors EGF/EGFR recruitment by HDAC1, thus enhancing 9-HSA antiproliferative effects. In conclusion 9-HSA is a promising HDAC inhibitor with high selectivity and specificity, capable of inducing cell cycle arrest and histone hyperacetylation, but also able to modulate HDAC1 protein interaction. All these aspects may contribute to the potency of this new antitumor agent.

New platforms for optical biosensing

Physicochemical experimental techniques combined with the specificity of a biological recognition system have resulted in a variety of new analytical devices known as biosensors. Biosensors are under intensive development worldwide because they have many potential applications, e.g. in the fields of clinical diagnostics, food analysis, and environmental monitoring. Much effort is spent on the development of highly sensitive sensor platforms to study interactions on the molecular scale. In the first part, this thesis focuses on exploiting the biosensing application of nanoporous gold (NPG) membranes. NPG with randomly distributed nanopores (pore sizes less than 50 nm) will be discussed here. The NPG membrane shows unique plasmonic features, i.e. it supports both propagating and localized surface plasmon resonance modes (p SPR and l-SPR, respectively), both offering sensitive probing of the local refractive index variation on/in NPG. Surface refractive index sensors have an inherent advantage over fluorescence optical biosensors that require a chromophoric group or other luminescence label to transduce the binding event. In the second part, gold/silica composite inverse opals with macroporous structures were investigated with bio- or chemical sensing applications in mind. These samples combined the advantages of a larger available gold surface area with a regular and highly ordered grating structure. The signal of the plasmon was less noisy in these ordered substrate structures compared to the random pore structures of the NPG samples. In the third part of the thesis, surface plasmon resonance (SPR) spectroscopy was applied to probe the protein-protein interaction of the calcium binding protein centrin with the heterotrimeric G-protein transducin on a newly designed sensor platform. SPR spectroscopy was intended to elucidate how the binding of centrin to transducin is regulated towards understanding centrin functions in photoreceptor cells.

Strategies to identify and further characterize novel and known genes involved in regulation of skeletogenesis

372 osteochondrodysplasias and genetically determined dysostoses were reported in 2007 [Superti-Furga and Unger, 2007]. For 215 of these conditions, an association with one or more genes can be stated, while the molecular changes for the remaining syndromes remain illusive to date. Thus, the present dissertation aims at the identification of novel genes involved in processes regarding cartilage/ bone formation, growth, differentiation and homeostasis, which may serve as candidate genes for the above mentioned conditions. Two different approaches were undertaken. Firstly, a high throughput EST sequencing project from a human fetal cartilage library was performed to identify novel genes in early skeletal development (20th week of gestation until 2nd year of life) that could be investigated as potential candidate genes. 5000 EST sequences were generated and analyzed representing 1573 individual transcripts, corresponding to known (1400) and to novel, yet uncharacterized genes (173). About 7% of the proteins were already described in cartilage/ bone development or homeostasis, showing that the generated library is tissue specific. The remaining profile of this library was compared to previously published libraries from different time points (8th–12th, 18th–20th week and adult human cartilage) that also showed a similar distribution, reflecting the quality of the presented library analyzed. Furthermore, three potential candidate genes (LRRC59, CRELD2, ZNF577) were further investigated and their potential involvement in skeletogenesis was discussed. Secondly, a disease-orientated approach was undertaken to identify downstream targets of LMX1B, the gene causing Nail-Patella syndrome (NPS), and to investigate similar conditions. Like NPS, Genitopatellar syndrome (GPS) is characterized by aplasia or hypoplasia of the patella and renal anomalies. Therefore, six GPS patients were enrolled in a study to investigate the molecular changes responsible for this relatively rare disease. A 3.07 Mb deletion including LMX1B and NR5A1 (SF1) was found in one female patient that showed features of both NPS and GPS and investigations revealed a 46,XY karyotype and ovotestes indicating true hermaphroditism. The microdeletion was not seen in any of the five other patients with GPS features only, but a potential regulatory element between the two genes cannot be ruled out yet. Since Lmx1b is expressed in the dorsal limb bud and in podocytes, proteomic approaches and expression profiling were performed with murine material of the limbs and the kidneys to identify its downstream targets. After 2D-gel electrophoresis with protein extracts from E13.5 fore limb buds and newborn kidneys of Lmx1b wild type and knock-out mice and mass spectrometry analysis, only two proteins, agrin and carbonic anhydrase 2, remained of interest, but further analysis of the two genes did not show a transcriptional down regulation by Lmx1b. The focus was switched to expression profiles and RNA from newborn Lmx1b wild type and knock-out kidneys was compared by microarray analysis. Potential Lmx1b targets were almost impossible to study, because of the early death of Lmx1b deficient mice, when the glomeruli, containing podocytes, are still immature. Because Lmx1b is also expressed during limb development, RNA from wild type and knock-out Lmx1b E11.5 fore limb buds was investigated by microarray, revealing four potential Lmx1b downstream targets: neuropilin 2, single-stranded DNA binding protein 2, peroxisome proliferative activated receptor, gamma, co-activator 1 alpha, and short stature homeobox 2. Whole mount in situ hybridization strengthened a potential down regulation of neuropilin 2 by Lmx1b, but further investigations including in situ hybridization and protein-protein interaction studies will be needed.

Synthetische Glycopeptide mit Sulfatyl-Lewis X-Struktur als potenzielle Inhibitoren der Zelladhäsion

Zelladhäsionsprozesse sind von großer Bedeutung für zahlreiche biologische Prozesse, wie etwa die Immunantwort, die Wundheilung und die Embryogenese. Außerdem spielen sie eine entscheidende Rolle im Verlauf inflammatorischer Prozesse. An der Zelladhäsion sind verschiedene Klassen von Adhäsionsmolekülen beteiligt. Die erste leichte „rollende“ Adhäsion von Leukozyten am Ort einer Entzündung wird durch die Selektine vermittelt. Diese binden über die Kohlenhydrat-Strukturen Sialyl-Lewisx und Sialyl-Lewisa über eine calciumabhängige Kohlenhydrat-Protein-Bindung an ihre spezifischen Liganden und vermitteln so den ersten Zellkontakt, bevor andere Adhäsionsmoleküle (Cadherine, Integrine) die feste Adhäsion und den Durchtritt durch das Endothel bewirken. Bei einer pathogenen Überexpression der Selektine kommt es jedoch zu zahlreichen chronischen Erkrankungen wie z. B. rheumatoider Arthritis, Erkrankungen der Herzkranzgefäße oder dem Reperfusions-syndrom. Außerdem wird eine Beteiligung der durch die Selektine vermittelten Zellkontakte bei der Metastasierung von Karzinomzellen angenommen. Ein Ansatzpunkt für die Behandlung der oben genannten Erkrankungen ist die Gabe löslicher kompetitiver Inhibitoren für die Selektine. Ziel der Arbeit war die Modifikation des Sialyl-Lewisx-Leitmotivs zur Steigerung der metabolischen Stabilität und dessen Einbau in die Peptidsequenz aus der für die Bindung verantwortlichen Domäne des endogenen Selektin-Liganden PSGL-1. Dazu wurden mit einer modifizierten Lewisx-Struktur glycosylierte Aminosäurebausteine dargestellt (Abb.1). Die Verwendung von Arabinose und des Sulfatrestes anstelle von Fusose und Sialinsäure sollte außerdem zu einer gesteigerten metabolischen Stabilität des synthetischen Liganden beitragen. Die so erhaltenen Glycosylaminosäuren sollten nun in die Festphasenpeptidsynthese eingesetzt werden. Aufgrund der großen säurelabilität konnte hier nicht auf das Standartverfahren (Wang-Harz, Abspaltung mit TFA) zurückgegriffen werden. Deshalb kam ein neuartiges UV-labiles Ankersystem zum Einsatz. Dazu wurde ein Protokoll für die Synthese und Abspaltung von Peptiden an diesem neuen System entwickelt. Daran gelang die Synthese des nichtglycosylierten Peptidrückgrats sowie eines mit der dem sulfatierten Lewisx-Motiv versehenen Glycopeptids. Ein vierfach sulfatiertes Glycopeptid, welches durch den Einsatz von im Vorfeld chemisch sulfatierer Tyrosin-Bausteinen dargestellt werden sollte, konnte massenspektrometrisch nachgewiesen werden.