Advances in sickle cell disease treatment: From drug discovery until the patient monitoring

Sickle Cell Disease (SCD) is one of the most prevalent hematological diseases in the world. Despite the immense progress in molecular knowledge about SCD in last years few therapeutical sources are currently available. Nowadays the treatment is performed mainly with drugs such as hydroxyurea or other fetal hemoglobin inducers and chelating agents. This review summarizes current knowledge about the treatment and the advancements in drug design in order to discover more effective and safe drugs. Patient monitoring methods in SCD are also discussed. © 2011 Bentham Science Publishers Ltd.

The discovery of Foxl2 paralogs in chondrichthyan, coelacanth and tetrapod genomes reveals an ancient duplication in vertebrates

The Foxl2 (forkhead box L2) gene is an important member of the forkhead domain family, primarily responsible for the development of ovaries during female sex differentiation. The evolutionary studies conducted previously considered the presence of paralog Foxl2 copies only in teleosts. However, to search for possible paralog copies in other groups of vertebrates and ensure that all predicted copies were homolog to the Foxl2 gene, a broad evolutionary analysis was performed, based on the forkhead domain family. A total of 2464 sequences for the forkhead domain were recovered, and subsequently, 64 representative sequences for Foxl2 were used in the evolutionary analysis of this gene. The most important contribution of this study was the discovery of a new subgroup of Foxl2 copies (ortholog to Foxl2B) present in the chondrichthyan Callorhinchus milii, in the coelacanth Latimeria chalumnae, in the avian Taeniopygia guttata and in the marsupial Monodelphis domestica. This new scenario indicates a gene duplication event in an ancestor of gnathostomes. Furthermore, based on the analysis of the syntenic regions of both Foxl2 copies, the duplication event was not exclusive to Foxl2. Moreover, the duplicated copy distribution was shown to be complex across vertebrates, especially in tetrapods, and the results strongly support a loss of this copy in eutherian species. Finally, the scenario observed in this study suggests an update for Foxl2 gene nomenclature, extending the actual suggested teleost naming of Foxl2A and Foxl2B to all vertebrate sequences and contributing to the establishment of a new evolutionary context for the Foxl2 gene. © 2013 Macmillan Publishers Limited All rights reserved.

Isolation and characterization of SNPs within HSC70 gene in the freshwater prawn Macrobrachium amazonicum

We report the discovery of 13 synonymous single nucleotide polymorphisms (SNPs) within a fragment of HSC70 gene in Macrobrachium amazonicum. Polymorphisms were assessed using the reference sequence of the HSC70 gene in Macrobrachium rosenbergii to the primers design. The minor allele frequency ranged from 0.011 to 0.213. None of the SNPs deviated significantly from Hardy-Weinberg equilibrium. These SNPs will be useful to access the genetic variation of populations and to the study of their relations with characteristics of interest for aquaculture. Both cases, favoring the conservation of the natural stocks of Amazon river prawn. © 2013 Springer Science+Business Media Dordrecht.

Evolução e organização genômica do gene FOXL2 em vertebrados

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Análise de polimorfismo na região promotora do gene da Interleucina 18 (-137 G/C e -607 C/A) em pacientes portadores do vírus da hepatite C de Belém, Pará

Desde a sua descoberta, em 1989, o vírus da hepatite C (HCV) tem sido reconhecido como a maior causa de doença hepática crônica no mundo. Considerado um problema de saúde pública mundial que envolve entre 170 a 350 milhões de pessoas infectadas. Fatores genéticos do hospedeiro têm sido implicados na persistência da infecção pelo HCV. Estudos sugerem que dois polimorfismos de nucleotídeos únicos na posição -607 C/A (rs1946518) e -137 G/C (rs187238) na região promotora do gene da IL-18 têm sido encontrados e associados com a atividade de transcrição do promotor da IL-18 e, potencialmente, de IFN-γ, sendo associados ao atraso na depuração viral e na persistência da doença. Foi realizado um estudo do tipo transversal analítico no município de Belém-PA, em 152 amostras sanguíneas de pacientes infectados pelo HCV e 188 controles não infectados. As amostras foram submetidas à RT-PCR, para detecção do RNA viral e, posteriormente, à RFLP-PCR para avaliação do polimorfismo na região promotora do gene da IL-18, nas posições -137 G/C e -607 C/A. Os resultados não revelaram diferença significante para os polimorfismos da IL-18 entre os pacientes e grupo controle. Mas revelou diferença significante para os genótipos homozigotos G/G (39,1%), na posição -137 (OR = 3.00, IC [95%] = 1.24 – 7.22, p = 0.02), e A/A (21,7%), posição -607 (OR = 3.62, IC [95%] = 1.25 – 10.45, p = 0.03), entre as mulheres, em relação aos homens (22,6% e 7,6%). Os resultados demonstraram indícios que entre as mulheres, a presença do polimorfismo homozigoto A/A (-607) atue como fator protetor contra a infecção pelo HCV, já que o genótipo A/A (-607) tem sido relacionado em alguns estudos à doença hepática leve e à depuração viral.

MetaPPase by in silico analyses predicting the novel gene operate as H+ pumps.

The lastyears declined the discovery of compounds to use in industrial and naturaldiversity has been the best supplier for novel genes, enzymes and compounds inhigh demand by the biotechnology industry. We know immense diversity of microorganisms,yet most remains unexplored. For these reason we use the metagenômica approach toinvestigate the potential of uncultured microorganisms. With this purpose weused the metagenomic library of from Eucalyptus spp. arboretum (EAA), wedid screening to found positive clone and them was submitted to the process of shotgun,the data obtained was submitted a bioinformatics analyses. Our results showsthe hypothesis of high unexplored microbial diversity of soil are able to foundnovel genes and metagenomic approach is and allowed to isolate novel genes and insilico analyses are essential part to identify a novel Inorganicpyrophosphatase (PPase) prediction indicated the novel gene operate as H+ pumps. Thissuggests that a special feature, our work in situ will be cloning thegene expression vector for subsequent kinetic characterization and crystallization.

Modeling gene expression regulatory networks with the sparse vector autoregressive model

Abstract Background To understand the molecular mechanisms underlying important biological processes, a detailed description of the gene products networks involved is required. In order to define and understand such molecular networks, some statistical methods are proposed in the literature to estimate gene regulatory networks from time-series microarray data. However, several problems still need to be overcome. Firstly, information flow need to be inferred, in addition to the correlation between genes. Secondly, we usually try to identify large networks from a large number of genes (parameters) originating from a smaller number of microarray experiments (samples). Due to this situation, which is rather frequent in Bioinformatics, it is difficult to perform statistical tests using methods that model large gene-gene networks. In addition, most of the models are based on dimension reduction using clustering techniques, therefore, the resulting network is not a gene-gene network but a module-module network. Here, we present the Sparse Vector Autoregressive model as a solution to these problems. Results We have applied the Sparse Vector Autoregressive model to estimate gene regulatory networks based on gene expression profiles obtained from time-series microarray experiments. Through extensive simulations, by applying the SVAR method to artificial regulatory networks, we show that SVAR can infer true positive edges even under conditions in which the number of samples is smaller than the number of genes. Moreover, it is possible to control for false positives, a significant advantage when compared to other methods described in the literature, which are based on ranks or score functions. By applying SVAR to actual HeLa cell cycle gene expression data, we were able to identify well known transcription factor targets. Conclusion The proposed SVAR method is able to model gene regulatory networks in frequent situations in which the number of samples is lower than the number of genes, making it possible to naturally infer partial Granger causalities without any a priori information. In addition, we present a statistical test to control the false discovery rate, which was not previously possible using other gene regulatory network models.

Myostatin: genetic variants, therapy and gene doping

Since its discovery, myostatin (MSTN) has been at the forefront of muscle therapy research because intrinsic mutations or inhibition of this protein, by either pharmacological or genetic means, result in muscle hypertrophy and hyperplasia. In addition to muscle growth, MSTN inhibition potentially disturbs connective tissue, leads to strength modulation, facilitates myoblast transplantation, promotes tissue regeneration, induces adipose tissue thermogenesis and increases muscle oxidative phenotype. It is also known that current advances in gene therapy have an impact on sports because of the illicit use of such methods. However, the adverse effects of these methods, their impact on athletic performance in humans and the means of detecting gene doping are as yet unknown. The aim of the present review is to discuss biosynthesis, genetic variants, pharmacological/genetic manipulation, doping and athletic performance in relation to the MSTN pathway. As will be concluded from the manuscript, MSTN emerges as a promising molecule for combating muscle wasting diseases and for triggering wide-ranging discussion in view of its possible use in gene doping.

Monooxygenases involved in the n-alkanes metabolism by Rhodococcus sp. BCP1: molecular characterization and expression of alkB gene

Bioremediation implies the use of living organisms, primarily microorganisms, to convert environmental contaminants into less toxic forms. The impact of the consequences of hydrocarbon release in the environment maintain a high research interest in the study of microbial metabolisms associated with the biodegradation of aromatic and aliphatic hydrocarbons but also in the analysis of microbial enzymes that can convert petroleum substrates to value-added products. The studies described in this Thesis fall within the research field that directs the efforts into identifying gene/proteins involved in the catabolism of n-alkanes and into studying the regulatory mechanisms leading to their oxidation. In particular the studies were aimed at investigating the molecular aspects of the ability of Rhodococcus sp. BCP1 to grow on aliphatic hydrocarbons as sole carbon and energy sources. We studied the ability of Rhodococcus sp. BCP1 to grow on gaseous (C2-C4), liquid (C5-C16) and solid (C17-C28) n-alkanes that resulted to be biochemically correlated with the activity of one or more monooxygenases. In order to identify the alkane monooxygenase that is involved in the n-alkanes degradation pathway in Rhodococcus sp. BCP1, PCR-based methodology was applied by using degenerate primers targeting AlkB monooxygenase family members. As result, a chromosomal region, including the alkB gene cluster, was cloned from Rhodococcus sp. BCP1 genome. We characterized the products of this alkB gene cluster and the products of the orfs included in the flanking regions by comparative analysis with the homologues in the database. alkB gene expression studies were carried out by RT-PCR and by the construction of a promoter probe vector containing the lacZ gene downstream of the alkB promoter. B-galactosidase assays revealed the alkB promoter activity induced by n-alkanes and by n-alkanes metabolic products. Furthermore, the transcriptional start of alkB gene was determined by primer extension procedure. A proteomic approach was subsequently applied to compare the protein patterns expressed by BCP1 growing on n-butane, n-hexane, n-hexadecane or n-eicosane with the protein pattern expressed by BCP1 growing on succinate. The accumulation of enzymes specifically induced on n-alkanes was determined. These enzymes were identified by tandem mass spectrometry (LC/MS/MS). Finally, a prm gene, homologue to the gene family coding for soluble di-iron monooxygenases (SDIMOs), has been isolated from Rhodococcus sp. BCP1 genome. This gene product could be involved in the degradation of gaseous n-alkanes in this Rhodococcus strain. The versatility in utilizing hydrocarbons and the discovery of new remarkable metabolic activities outline the potential applications of this microorganism in environmental and industrial biotechnologies.

A NEW TUMOR SUPPRESSOR GENE CANDIDATE REGULATED BY THE NON-CODING RNA PCA3 IN HUMAN PROSTATE CANCER

Prostate cancer is the second leading cause of cancer-related death and the most common non-skin cancer in men in the USA. Considerable advancements in the practice of medicine have allowed a significant improvement in the diagnosis and treatment of this disease and, in recent years, both incidence and mortality rates have been slightly declining. However, it is still estimated that 1 man in 6 will be diagnosed with prostate cancer during his lifetime, and 1 man in 35 will die of the disease. In order to identify novel strategies and effective therapeutic approaches in the fight against prostate cancer, it is imperative to improve our understanding of its complex biology since many aspects of prostate cancer initiation and progression still remain elusive. The study of tumor biomarkers, due to their specific altered expression in tumor versus normal tissue, is a valid tool for elucidating key aspects of cancer biology, and may provide important insights into the molecular mechanisms underlining the tumorigenesis process of prostate cancer. PCA3, is considered the most specific prostate cancer biomarker, however its biological role, until now, remained unknown. PCA3 is a long non-coding RNA (ncRNA) expressed from chromosome 9q21 and its study led us to the discovery of a novel human gene, PC-TSGC, transcribed from the opposite strand and in an antisense orientation to PCA3. With the work presented in this thesis, we demonstrate that PCA3 exerts a negative regulatory role over PC-TSGC, and we propose PC-TSGC to be a new tumor suppressor gene that contrasts the transformation of prostate cells by inhibiting Rho-GTPases signaling pathways. Our findings provide a biological role for PCA3 in prostate cancer and suggest a new mechanism of tumor suppressor gene inactivation mediated by non-coding RNA. Also, the characterization of PCA3 and PC-TSGC led us to propose a new molecular pathway involving both genes in the transformation process of the prostate, thus providing a new piece of the jigsaw puzzle representing the complex biology of prostate cancer.

SURVIVAL PREDICTION FOR BRAIN TUMOR PATIENTS USING GENE EXPRESSION DATA

Brain tumor is one of the most aggressive types of cancer in humans, with an estimated median survival time of 12 months and only 4% of the patients surviving more than 5 years after disease diagnosis. Until recently, brain tumor prognosis has been based only on clinical information such as tumor grade and patient age, but there are reports indicating that molecular profiling of gliomas can reveal subgroups of patients with distinct survival rates. We hypothesize that coupling molecular profiling of brain tumors with clinical information might improve predictions of patient survival time and, consequently, better guide future treatment decisions. In order to evaluate this hypothesis, the general goal of this research is to build models for survival prediction of glioma patients using DNA molecular profiles (U133 Affymetrix gene expression microarrays) along with clinical information. First, a predictive Random Forest model is built for binary outcomes (i.e. short vs. long-term survival) and a small subset of genes whose expression values can be used to predict survival time is selected. Following, a new statistical methodology is developed for predicting time-to-death outcomes using Bayesian ensemble trees. Due to a large heterogeneity observed within prognostic classes obtained by the Random Forest model, prediction can be improved by relating time-to-death with gene expression profile directly. We propose a Bayesian ensemble model for survival prediction which is appropriate for high-dimensional data such as gene expression data. Our approach is based on the ensemble "sum-of-trees" model which is flexible to incorporate additive and interaction effects between genes. We specify a fully Bayesian hierarchical approach and illustrate our methodology for the CPH, Weibull, and AFT survival models. We overcome the lack of conjugacy using a latent variable formulation to model the covariate effects which decreases computation time for model fitting. Also, our proposed models provides a model-free way to select important predictive prognostic markers based on controlling false discovery rates. We compare the performance of our methods with baseline reference survival methods and apply our methodology to an unpublished data set of brain tumor survival times and gene expression data, selecting genes potentially related to the development of the disease under study. A closing discussion compares results obtained by Random Forest and Bayesian ensemble methods under the biological/clinical perspectives and highlights the statistical advantages and disadvantages of the new methodology in the context of DNA microarray data analysis.

Fine-mapping and mutation analysis of TRPM1: a candidate gene for leopard complex (LP) spotting and congenital stationary night blindness in horses.

Leopard Complex spotting occurs in several breeds of horses and is caused by an incompletely dominant allele (LP). Homozygosity for LP is also associated with congenital stationary night blindness (CSNB) in Appaloosa horses. Previously, LP was mapped to a 6 cm region on ECA1 containing the candidate gene TRPM1 (Transient Receptor Potential Cation Channel, Subfamily M, Member 1) and decreased expression of this gene, measured by qRT-PCR, was identified as the likely cause of both spotting and ocular phenotypes. This study describes investigations for a mutation causing or associated with the Leopard Complex and CSNB phenotype in horses. Re-sequencing of the gene and associated splice sites within the 105 624 bp genomic region of TRPM1 led to the discovery of 18 SNPs. Most of the SNPs did not have a predictive value for the presence of LP. However, one SNP (ECA1:108,249,293 C>T) found within intron 11 had a strong (P < 0.0005), but not complete, association with LP and CSNB and thus is a good marker but unlikely to be causative. To further localize the association, 70 SNPs spanning over two Mb including the TRPM1 gene were genotyped in 192 horses from three different breeds segregating for LP. A single 173 kb haplotype associated with LP and CSNB (ECA1: 108,197,355- 108,370,150) was identified. Illumina sequencing of 300 kb surrounding this haplotype revealed 57 SNP variants. Based on their localization within expressed sequences or regions of high sequence conservation across mammals, six of these SNPs were considered to be the most likely candidate mutations. While the precise function of TRPM1 remains to be elucidated, this work solidifies its functional role in both pigmentation and night vision. Further, this work has identified several potential regulatory elements of the TRPM1 gene that should be investigated further in this and other species.

Dihydropyrimidinase and β-ureidopropionase gene variation and severe fluoropyrimidine-related toxicity

AIMS To assess the association of DPYS and UPB1 genetic variation, encoding the catabolic enzymes downstream of dihydropyrimidine dehydrogenase, with early-onset toxicity from fluoropyrimidine-based chemotherapy. PATIENTS & METHODS The coding and exon-flanking regions of both genes were sequenced in a discovery subset (164 patients). Candidate variants were genotyped in the full cohort of 514 patients. RESULTS & CONCLUSIONS Novel rare deleterious variants in DPYS (c.253C > T and c.1217G > A) were detected once each in toxicity cases and may explain the occurrence of severe toxicity in individual patients, and associations of common variants in DPYS (c.1-1T > C: padjusted = 0.003; OR = 2.53; 95% CI: 1.39-4.62, and c.265-58T > C: padjusted = 0.039; OR = 0.61; 95% CI: 0.38-0.97) with 5-fluorouracil toxicity were replicated.

Candidate gene identification following linkage: Search for hypertension susceptibility genes

Following up genetic linkage studies to identify the underlying susceptibility gene(s) for complex disease traits is an arduous yet biologically and clinically important task. Complex traits, such as hypertension, are considered polygenic with many genes influencing risk, each with small effects. Chromosome 2 has been consistently identified as a genomic region with genetic linkage evidence suggesting that one or more loci contribute to blood pressure levels and hypertension status. Using combined positional candidate gene methods, the Family Blood Pressure Program has concentrated efforts in investigating this region of chromosome 2 in an effort to identify underlying candidate hypertension susceptibility gene(s). Initial informatics efforts identified the boundaries of the region and the known genes within it. A total of 82 polymorphic sites in eight positional candidate genes were genotyped in a large hypothesis-generating sample consisting of 1640 African Americans, 1339 whites, and 1616 Mexican Americans. To adjust for multiple comparisons, resampling-based false discovery adjustment was applied, extending traditional resampling methods to sibship samples. Following this adjustment for multiple comparisons, SLC4A5, a sodium bicarbonate transporter, was identified as a primary candidate gene for hypertension. Polymorphisms in SLC4A5 were subsequently genotyped and analyzed for validation in two populations of African Americans (N = 461; N = 778) and two of whites (N = 550; N = 967). Again, SNPs within SLC4A5 were significantly associated with blood pressure levels and hypertension status. While not identifying a single causal DNA sequence variation that is significantly associated with blood pressure levels and hypertension status across all samples, the results further implicate SLC4A5 as a candidate hypertension susceptibility gene, validating previous evidence for one or more genes on chromosome 2 that influence hypertension related phenotypes in the population-at-large. The methodology and results reported provide a case study of one approach for following up the results of genetic linkage analyses to identify genes influencing complex traits. ^

Studies on gene expression within germinal centers

During T cell dependent immune responses, the acquisition of B cell memory from naïve cells takes place within a highly specialized microenvironment: The germinal centers (GC) of the secondary lymphoid organs. The GC reaction is a tightly regulated process in which the balance between survival and death is mediated by signals transduced through ligation of critical costimulatory molecules such as CD40 and CD154. While most cognate receptor-ligand interactions occur between T-cells and antigen (Ag)-presenting cells (APC) such as B-cells, evidence of homotypic B cell interactions has emerged. Despite the progress in our understanding of the reaction, several questions remain: (1) What determines the concomitant expression of CD40 and its ligand CD154 by GC B-cells? (2) Which molecules are responsible for inducing GC-B cell survival? and (3) how can cognate T-cell help be recruited into the organized structure of GCs? ^ Because the expression of costimulatory and survival molecules is predominant at distinct Ag-dependent maturation stages, we hypothesized the existence of stage specific gene expression responsible for the regulation of the GC reaction. Our studies reveal several novel genes whose expression may be critical for the GC reaction. The discovery of AKNA reveals the mechanism behind homotypic B cell CD40 and CD40 ligand interactions, which can explain the costimulatory signaling to GC B cells in the absence of T cells. Additionally, the identification of the pro-survival molecule PRELI may provide a novel mechanism for the survival of Ag-selected B cells. We propose that PRELI and its phylogenic homologues represent a novel family of proteins responsible for the protection of cells against caspase-independent apoptosis. Furthermore, we show that GC B cells actively participate in the recruitment of T cells through the secretion of CC and CxC chemokines, thus supporting their mutual involvement in cognate interactions. ^