Microarray analysis of autoimmune diseases by machine learning procedures

—Microarray-based global gene expression profiling, with the use of sophisticated statistical algorithms is providing new insights into the pathogenesis of autoimmune diseases. We have applied a novel statistical technique for gene selection based on machine learning approaches to analyze microarray expression data gathered from patients with systemic lupus erythematosus (SLE) and primary antiphospholipid syndrome (PAPS), two autoimmune diseases of unknown genetic origin that share many common features. The methodology included a combination of three data discretization policies, a consensus gene selection method, and a multivariate correlation measurement. A set of 150 genes was found to discriminate SLE and PAPS patients from healthy individuals. Statistical validations demonstrate the relevance of this gene set from an univariate and multivariate perspective. Moreover, functional characterization of these genes identified an interferon-regulated gene signature, consistent with previous reports. It also revealed the existence of other regulatory pathways, including those regulated by PTEN, TNF, and BCL-2, which are altered in SLE and PAPS. Remarkably, a significant number of these genes carry E2F binding motifs in their promoters, projecting a role for E2F in the regulation of autoimmunity.

Is Microarray Analysis Really Useful and Sufficient to Diagnose Nut Allergy in the Mediterranean Area?

Background: Component-based diagnosis on multiplex platforms is widely used in food allergy but its clinical performance has not been evaluated in nut allergy. Objective: To assess the diagnostic performance of a commercial protein microarray in the determination of specific IgE (sIgE) in peanut, hazelnut, and walnut allergy. Methods: sIgE was measured in 36 peanut-allergic, 36 hazelnut-allergic, and 44 walnut-allergic patients by ISAC 112, and subsequently, sIgE against available components was determined by ImmunoCAP in patients with negative ISAC results. ImmunoCAP was also used to measure sIgE to Ara h 9, Cor a 8, and Jug r 3 in a subgroup of lipid transfer protein (LTP)-sensitized nut-allergic patients (positive skin prick test to LTP-enriched extract). sIgE levels by ImmunoCAP were compared with ISAC ranges. Results: Most peanut-, hazelnut-, and walnut-allergic patients were sensitized to the corresponding nut LTP (Ara h 9, 66.7%; Cor a 8, 80.5%; Jug r 3, 84% respectively). However, ISAC did not detect sIgE in 33.3% of peanut-allergic patients, 13.9% of hazelnut-allergic patients, or 13.6% of walnut-allergic patients. sIgE determination by ImmunoCAP detected sensitization to Ara h 9, Cor a 8, and Jug r 3 in, respectively, 61.5% of peanut-allergic patients, 60% of hazelnut-allergic patients, and 88.3% of walnut-allergic patients with negative ISAC results. In the subgroup of peach LTP?sensitized patients, Ara h 9 sIgE was detected in more cases by ImmunoCAP than by ISAC (94.4% vs 72.2%, P<.05). Similar rates of Cor a 8 and Jug r 3 sensitization were detected by both techniques. Conclusions: The diagnostic performance of ISAC was adequate for hazelnut and walnut allergy but not for peanut allergy. sIgE sensitivity against Ara h 9 in ISAC needs to be improved.

Genome-Wide Analysis of the Response of Dickeya dadantii 3937 to Plant Antimicrobial Peptides

Antimicrobial peptides constitute an important factor in the defense of plants against pathogens, and bacterial resistance to these peptides have previously been shown to be an important virulence factor in Dickeya dadantii, the causal agent of soft-rot disease of vegetables. In order to understand the bacterial response to antimicrobial pep- tides, a transcriptional microarray analysis was performed upon treatment with sub-lethal concentration of thionins, a widespread plant peptide. In all, 36 genes were found to be overexpressed, and were classified according to their deduced function as i) transcriptional regulators, ii) transport, and iii) modification of the bacterial membrane. One gene encoding a uricase was found to be repressed. The majority of these genes are known to be under the control of the PhoP/PhoQ system. Five genes representing the different functions induced were selected for further analysis. The results obtained indicate that the presence of antimicrobial peptides induces a complex response which includes peptide-specific elements and general stress-response elements contributing differentially to the virulence in different hosts.

Identificación y caracterización de la ruta mediada por la proteína G heterotrimérica de Arabidopsis thaliana en la respuesta inmune

La resistencia de las plantas a los hongos necrótrofos como Plectosphaerella cucumerina es genéticamente compleja y depende de la activación coordinada de distintas rutas de señalización (Llorente et al, 2005; Sanchez-Vallet et al, 2010). Entre éstas se encuentran las mediadas por la proteína G heterotrimérica, un complejo formado por tres subunidades (Gα, Gβ y Gγ) que regula tanto la respuesta de inmunidad a diferentes patógenos como distintos procesos de desarrollo (Temple and Jones, 2007). En esta Tesis hemos demostrado que, en Arabidopsis, el monómero funcional formado por las subunidades Gβ y Gγ1/Gγ2 es el responsable de la regulación de la respuesta de defensa, ya que mutantes nulos en estas subunidades (agb1 y agg1 agg2) presentan una alta susceptibilidad al hongo P. cucumerina. Además, hemos identificado varios aminoácidos (Q102, T188 y R235) de la proteína AGB1 esenciales en la interacción con los efectores correspondientes para la regulación de la respuesta inmune (Jiang et al, enviado). Para determinar las bases moleculares de la resistencia mediada por la proteína G heterotrimérica, llevamos a cabo un análisis transcriptómico comparativo entre los genotipos agb1 y Col-0, el cual reveló que la resistencia mediada por AGB1 no depende de rutas defensivas implicadas en la resistencia a hongos necrotrofos, como las mediadas por el ácido salicílico (SA), etileno (ET), jasmónico (JA) o ácido abscísico (ABA), o la ruta de biosíntesis de metabolitos derivados del triptófano. Este estudio mostró que un número significativo de los genes desregulados en respuesta a P. cucumerina en el genotipo agb1 respecto a las plantas silvestres codificaban proteínas con funciones relacionadas con la pared celular. La evaluación de la composición y estructura de la pared de los mutantes de las subunidades de la proteína G heterotrimérica reveló que los genotipos agb1 y agg1 agg2 presentaban alteraciones similares diferentes de las observadas en plantas silvestres Col-0, como una reducción significativa en el contenido de xilosa en la pared. Estos datos sugieren que la proteína G heterotrimérica puede modular la composición/estructura de la pared celular y contribuir, de esta manera, en la regulación de la respuesta inmune (Delgado- Cerezo et al, 2011). La caracterización del interactoma de la proteína G heterotrimérica corroboró la relevancia funcional que presenta en la regulación de la pared celular, ya que un número significativo de las interacciones identificadas estaban comprendidas por proteínas relacionadas directa o indirectamente con la biogénesis y remodelación de la pared celular (Klopffleisch et al, 2011). El papel en inmunidad de algunos de estos potenciales efectores ha sido validado mediante el análisis de la resistencia a P. cucumerina de los mutantes de pérdida de función correspondientes. Con el objetivo de caracterizar las rutas de señalización mediadas por AGB1 e identificar efectores implicados en esta señalización, llevamos a cabo una búsqueda de mutantes supresores de la susceptibilidad de agb1 a P. cucumerina, identificándose varios mutantes sgb (supressor of Gbeta). En esta Tesis hemos caracterizado en detalle el mutante sgb10, que presenta una activación constitutiva de las rutas de señalización mediadas por SA y JA+ET y suprime el fenotipo de susceptibilidad de agb1. SGB10 y AGB1 forman parte de rutas independientes en la regulación de la respuesta inmune, mientras que interaccionan de forma compleja en el control de determinados procesos de desarrollo. La mutación sgb10 ha sido cartografiada entre los genes At3g55010 y At3g56408, que incluye una región con 160 genes. ABSTRACT Plant resistance to necrotrophic fungi Plectosphaerella cucumerina is genetically complex and depends on the interplay of different signalling pathways (Llorente et al, 2005; Sanchez-Vallet et al, 2010). Among others, the heterotrimeric G protein complex has a relevant role. The G protein that is formed by three subunits (Gα, Gβ and Gγ) is a pleiotropic regulator of immune responses to different types of pathogens and developmental issues (Temple and Jones, 2007). Throughout the Thesis, we have demonstrated that Arabidopsis’ functional monomer formed by the Gβ and Gγ1/Gγ2 subunits is a key regulator of defense response, as null mutants (agb1 and agg1 agg2) are equally hypersusceptible to P. cucumerina infection. In addition we have identified several AGB1 aminoacids (Q102, T188 y R235) essentials to interact with specific effectors during the regulation of immune response (Jiang et al, sent).To determine the molecular basis of heterotrimeric G protein mediated resistance we have performed a microarray analysis with agb1-1 and wild type Col-0 plants before and after P. cucumerina challenge. A deep and exhaustive comparative transcriptomical analysis of these plants revealed that AGB1 mediated resistance does not rely on salicilic acid (SA), ethylene (ET), jasmonates (JA), abscisic acid (ABA) or triptophan derived metabolites biosynthesis. However the analysis revealed that a significant number of cell wall related genes are misregulated in the agb1 mutant after pathogen challenge when compared to wild-type plants. The analysis of cell wall composition and structure showed similar cell wall alterations between agb1 and agg1 agg2 mutants that are different from those of wild-type plants, so far the mutants present a significant reduction in xylose levels. All these results suggest that heterotrimeric G protein may regulate immune response through modifications in the cell wall composition/structure (Delgado-Cerezo et al, 2011). The characterization of Heterotrimeric G protein interactome revealed highly connected interactions between the G-protein core and proteins involved in cell wall composition or structure (Klopffleisch et al, 2011). To test the role in immunity of several effectors identified above, we have performed resistance analysis of corresponding null mutants against P. cucumerina. In order to characterize AGB1 mediated signalling pathway and identify additional effectors involved in AGB1-mediated immune response against P. cucumerina, we have performed a screening to isolate mutants with suppression of agb1 phenotype. One of the mutants, named sgb10, has been characterized during the Thesis. The mutant shows constitutive expression of SA, JA+ET-mediated defense signaling pathways to suppres agb1 hypersusceptibility. SGB10 and AGB1 proteins seem to be part of independent pathways in immunity, however its function during development remains unclear. At present, we have mapped the sgb10 mutation between At3g55010 and At3g56408 genes. This region contains 160 genes.

Cycling Dof Factors: Molecular and functional characterization of Arabidopsis thaliana AtCDF3 and tomato (Solanum lycopersicum L.) SlCDF3 in response to abiotic stress

El tomate (Solanum lycopersicum L.) es considerado uno de los cultivos hortícolas de mayor importancia económica en el territorio Español. Sin embargo, su producción está seriamente afectada por condiciones ambientales adversas como, salinidad, sequía y temperaturas extremas. Para resolver los problemas que se presentan en condiciones de estrés, se han empleado una serie de técnicas culturales que disminuyen sus efectos negativos, siendo de gran interés el desarrollo de variedades tolerantes. En este sentido la obtención y análisis de plantas transgénicas, ha supuesto un avance tecnológico, que ha facilitado el estudio y la evaluación de genes seleccionados en relación con la tolerancia al estrés. Estudios recientes han mostrado que el uso de genes reguladores como factores de transcripción (FTs) es una gran herramienta para obtener nuevas variedades de tomate con mayor tolerancia a estreses abióticos. Las proteínas DOF (DNA binding with One Finger) son una familia de FTs específica de plantas (Yangisawa, 2002), que están involucrados en procesos fisiológicos exclusivos de plantas como: asimilación del nitrógeno y fijación del carbono fotosintético, germinación de semilla, metabolismo secundario y respuesta al fotoperiodo pero su preciso rol en la tolerancia a estrés abiótico se desconoce en gran parte. El trabajo descrito en esta tesis tiene como objetivo estudiar genes reguladores tipo DOF para incrementar la tolerancia a estrés abiotico tanto en especies modelo como en tomate. En el primer capítulo de esta tesis se muestra la caracterización funcional del gen CDF3 de Arabidopsis, así como su papel en la respuesta a estrés abiótico y otros procesos del desarrollo. La expresión del gen AtCDF3 es altamente inducido por sequía, temperaturas extremas, salinidad y tratamientos con ácido abscísico (ABA). La línea de inserción T-DNA cdf3-1 es más sensible al estrés por sequía y bajas temperaturas, mientras que líneas transgénicas de Arabidopsis 35S::AtCDF3 aumentan la tolerancia al estrés por sequía, osmótico y bajas temperaturas en comparación con plantas wild-type (WT). Además, estas plantas presentan un incremento en la tasa fotosintética y apertura estomática. El gen AtCDF3 se localiza en el núcleo y que muestran una unión específica al ADN con diferente afinidad a secuencias diana y presentan diversas capacidades de activación transcripcional en ensayos de protoplastos de Arabidopsis. El dominio C-terminal de AtCDF3 es esencial para esta localización y su capacidad activación, la delección de este dominio reduce la tolerancia a sequía en plantas transgénicas 35S::AtCDF3. Análisis por microarray revelan que el AtCDF3 regula un set de genes involucrados en el metabolismo del carbono y nitrógeno. Nuestros resultados demuestran que el gen AtCDF3 juega un doble papel en la regulación de la respuesta a estrés por sequía y bajas temperaturas y en el control del tiempo de floración. En el segundo capítulo de este trabajo se lleva a cabo la identificación de 34 genes Dof en tomate que se pueden clasificar en base a homología de secuencia en cuatro grupos A-D, similares a los descritos en Arabidopsis. Dentro del grupo D se han identificado cinco genes DOF que presentan características similares a los Cycling Dof Factors (CDFs) de Arabidopsis. Estos genes son considerados ortólogos de Arabidopsis CDF1-5, y han sido nombrados como Solanum lycopersicum CDFs o SlCDFs. Los SlCDF1-5 son proteínas nucleares que muestran una unión específica al ADN con diferente afinidad a secuencias diana y presentan diversas capacidades de activación transcripcional in vivo. Análisis de expresión de los genes SlCDF1-5 muestran diferentes patrones de expresión durante el día y son inducidos de forma diferente en respuesta a estrés osmótico, salino, y de altas y bajas temperaturas. Plantas de Arabidopsis que sobre-expresan SlCDF1 y SlCDF3 muestran un incremento de la tolerancia a la sequía y salinidad. Además, de la expresión de varios genes de respuesta estrés como AtCOR15, AtRD29A y AtERD10, son expresados de forma diferente en estas líneas. La sobre-expresión de SlCDF3 en Arabidopsis promueve un retardo en el tiempo de floración a través de la modulación de la expresión de genes que controlan la floración como CONSTANS (CO) y FLOWERING LOCUS T (FT). En general, nuestros datos demuestran que los SlCDFs están asociados a funciones aun no descritas, relacionadas con la tolerancia a estrés abiótico y el control del tiempo de floración a través de la regulación de genes específicos y a un aumento de metabolitos particulares. ABSTRACT Tomato (Solanum lycopersicum L.) is one of the horticultural crops of major economic importance in the Spanish territory. However, its production is being affected by adverse environmental conditions such as salinity, drought and extreme temperatures. To resolve the problems triggered by stress conditions, a number of agricultural techniques that reduce the negative effects of stress are being frequently applied. However, the development of stress tolerant varieties is of a great interest. In this direction, the technological progress in obtaining and analysis of transgenic plants facilitated the study and evaluation of selected genes in relation to stress tolerance. Recent studies have shown that a use of regulatory genes such as transcription factors (TFs) is a great tool to obtain new tomato varieties with greater tolerance to abiotic stresses. The DOF (DNA binding with One Finger) proteins form a family of plant-specific TFs (Yangisawa, 2002) that are involved in the regulation of particular plant processes such as nitrogen assimilation, photosynthetic carbon fixation, seed germination, secondary metabolism and flowering time bur their precise roles in abiotic stress tolerance are largely unknown. The work described in this thesis aims at the study of the DOF type regulatory genes to increase tolerance to abiotic stress in both model species and the tomato. In the first chapter of this thesis, we present molecular characterization of the Arabidopsis CDF3 gene as well as its role in the response to abiotic stress and in other developmental processes. AtCDF3 is highly induced by drought, extreme temperatures, salt and abscisic acid (ABA) treatments. The cdf3-1 T-DNA insertion mutant was more sensitive to drought and low temperature stresses, whereas the AtCDF3 overexpression enhanced the tolerance of transgenic plants to drought, cold and osmotic stress comparing to the wild-type (WT) plants. In addition, these plants exhibit increased photosynthesis rates and stomatal aperture. AtCDF3 is localized in the nuclear region, displays specific binding to the canonical DNA target sequences and has a transcriptional activation activity in Arabidopsis protoplast assays. In addition, the C-terminal domain of AtCDF3 is essential for its localization and activation capabilities and the deletion of this domain significantly reduces the tolerance to drought in transgenic 35S::AtCDF3 overexpressing plants. Microarray analysis revealed that AtCDF3 regulated a set of genes involved in nitrogen and carbon metabolism. Our results demonstrate that AtCDF3 plays dual roles in regulating plant responses to drought and low temperature stress and in control of flowering time in vegetative tissues. In the second chapter this work, we carried out to identification of 34 tomato DOF genes that were classified by sequence similarity into four groups A-D, similar to the situation in Arabidopsis. In the D group we have identified five DOF genes that show similar characteristics to the Cycling Dof Factors (CDFs) of Arabidopsis. These genes were considered orthologous to the Arabidopsis CDF1 - 5 and were named Solanum lycopersicum CDFs or SlCDFs. SlCDF1-5 are nuclear proteins that display specific binding to canonical DNA target sequences and have transcriptional activation capacities in vivo. Expression analysis of SlCDF1-5 genes showed distinct diurnal expression patterns and were differentially induced in response to osmotic, salt and low and high temperature stresses. Arabidopsis plants overexpressing SlCDF1 and SlCDF3 showed increased drought and salt tolerance. In addition, various stress-responsive genes, such as AtCOR15, AtRD29A and AtERD10, were expressed differently in these lines. The overexpression of SlCDF3 in Arabidopsis also results in the late flowering phenotype through the modulation of the expression of flowering control genes such CONSTANS (CO) and FLOWERING LOCUS T (FT). Overall, our data connet SlCDFs to undescribed functions related to abiotic stress tolerance and flowering time through the regulation of specific target genes and an increase in particular metabolites.

Two way clustering of Microarray Data using a Hybrid Approach

The Microarray technique is rather powerful, as it allows to test up thousands of genes at a time, but this produces an overwhelming set of data files containing huge amounts of data, which is quite difficult to pre-process, separate, classify and correlate for interesting conclusions to be extracted. Modern machine learning, data mining and clustering techniques based on information theory, are needed to read and interpret the information contents buried in those large data sets. Independent Component Analysis method can be used to correct the data affected by corruption processes or to filter the uncorrectable one and then clustering methods can group similar genes or classify samples. In this paper a hybrid approach is used to obtain a two way unsupervised clustering for a corrected microarray data.