Veränderungen der DNA-Methylierung in Patienten mit AHCY-Defizienz

Die S-adenosyl-L-Homocysteinhydrolase (AHCY)-Defizienz ist eine seltene autosomal rezessive Erbkrankheit, bei der Mutationen im AHCY-Gen die Funktionsfähigkeit des kodierten Enzyms beeinträchtigen. Diese Krankheit führt zu Symptomen wie Entwicklungsverzögerungen, mentaler Retardierung und Myopathie. In der vorliegenden Arbeit wurde der Einfluss der AHCY-Defizienz auf die Methylierung der DNA in Blutproben und Fibroblasten von Patienten mit AHCY-Defizienz, sowie in HEK293- und HepG2-Zelllinien mit AHCY-Knockdown untersucht. Der gesamtgenomische Methylierungsstatus wurde mit Hilfe des MethylFlash ™ Methylated DNA Quantification Kit (Epigentek) bei drei Patienten-Blutproben festgestellt. In den Blutproben von sieben Patienten und Fibroblasten von einem Patienten wurde die Methylierung von DMRs sieben geprägter Gene (GTL2, H19, LIT1, MEST, NESPAS, PEG3, SNRPN) und zwei repetitiver Elemente (Alu, LINE1) mittels Bisulfit-Pyrosequenzierung quantifiziert und durch High Resolution Melting-Analyse bestätigt. Zusätzlich wurde eine genomweite Methylierungsanalyse mit dem Infinium® HumanMethylation450 BeadChip (Illumina) für vier Patientenproben durchgeführt und die Expression von AHCY in Fibroblasten mittels Expressions-qPCR und QUASEP-Analyse untersucht. Die Methylierungsanalysen ergaben eine Hypermethylierung der gesamtgenomischen DNA und stochastische Hypermethylierungen von DMRs geprägter Gene bei einigen Patienten. Die HEK293- und HepG2-Zelllinien wiesen dagegen hauptsächlich stochastische Hypomethylierungen an einigen DMRs geprägter Gene und LINE1-Elementen auf. Die genomweite Methylierungsarray-Analyse konnte die Ergebnisse der Bisulfit-Pyrosequenzierung nicht bestätigen. Die Expressionsanalysen der AHCY-defizienten Fibroblasten zeigten eine verminderte Expression von AHCY, wobei beide Allele etwa gleich stark transkribiert wurden. Die Ergebnisse deuten darauf hin, dass die AHCY-Defizienz eine gute Modellerkrankung für die Untersuchung biologischer Konsequenzen von Methylierungsstörungen im Rahmen der Epigenetik-Forschung sein könnte. Sie ist unseres Wissens die erste monogene Erkrankung mit symptomaler DNA-Hypermethylierung beim Menschen.

Mutagenicity of herpes simplex virus type 1 in a shuttle vector

The shuttle vector plasmid pZ189 was used to find the kinds of mutations that are induced by herpes simplex virus type-1 (HSV-1). In cells infected by HSV-1 the frequency of mutation in supF gene, the mutagenesis marker, was increased over background by from two- to seven-fold, reaching 0.14-0.45%. No increase was induced by infection by vaccinia virus under the same conditions. Mutagenesis was an early event, showing a four-fold increase in mutation frequency at only two hours after infection, and peaking at a seven-fold increase at four hours after infection. DNA sequencing and gel electrophoresis analysis were performed on 105 HSV-1 induced mutants and 65 spontaneous mutants and provided the following information: (1) A change in plasmid size was seen in 54% of HSV-1 related mutants, compared with only 37% of spontaneous mutants. (2) Among point mutations, the predominant type was G:C to A:T transition, which accounted for 51% of point mutations in mutants isolated from cells infected with HSV-1, and 32% of point mutations in spontaneous mutants. (3) Deletions of DNA were seen in HSV-1 related mutants at a frequency of 40%, compared with 29% in spontaneous mutants. The HSV-1 related deletions were about half the length of spontaneous mutants and three contained short filler sequences. (4) Fifteen (15%) of HSV-1 induced mutants revealed the altered restriction patterns on agarose gel electrophoresis analysis and were due either to rearrangements of plasmid DNA, and/or to insertion of sequences derived from chromosomal DNA (seven plasmids). No insertions of DNA from HSV-1 were detected. Among spontaneous mutants, only 5 (7.7%) were rearrangements and none had inserted chromosomal DNA. (5) DNA sequence analysis of seven plasmids with inserted chromosomal DNA revealed that four cases had repetitive DNA sequences integrated and the other three were unidentified sequences from the GenBank database. Three repetitive DNA included $\alpha$ satellite, Alu and KpnI family sequences. The other sequence was identified as tRNA-like component. The observed mutations have implications for the mechanism of malignant transformation of cells by HSV-1. ^

Transcriptional regulation and functional analysis of the Wilms' tumor gene WT1

The Wilms' tumor gene, WT1, encodes a zinc finger transcription factor which functions as a tumor suppressor. Defects in the WT1 gene can result in the development of nephroblastoma. WT1 is expressed during development, primarily in the metanephric kidney, the mesothelial lining of the abdomen and thorax, and the developing gonads. WT1 expression is tightly regulated and is essential for renal development. The WT1 gene encodes a protein with a proline-rich N-terminus which functions as a transcriptional repressor and C-terminus contains 4 zinc fingers that mediate DNA binding. WT1 represses transcription from a number of growth factors and growth factor receptors. WT1 mRNA undergoes alternative splicing at two sites, resulting in 4 mRNA species and polypeptide products. Exon 5, encoding 17 amino acids is alternatively spliced, and is located between the transcriptional repression domain and the DNA binding domain. The second alternative splice is the terminal 9 nucleotides of zinc finger 3, encoding the tripeptide Lys-Thr-Ser (KTS). The presence or absence of KTS within the zinc fingers of WT1 alters DNA binding.^ I have investigated transcriptional regulation of WT1, characterizing two means of repressing WT1 transcription. I have cloned a transcriptional silencer of the WT1 promoter which is located in the third intron of the WT1 gene. The silencer is 460 bp in length and contains an Alu repeat. The silencer functions in cells of non-renal origin.^ I have found that WT1 protein can autoregulate the WT1 promoter. Using the autoregulation of the WT1 promoter as a functional assay, I have defined differential consensus DNA binding motifs of WT1 isoforms lacking and containing the KTS tripeptide insertion. With these refined consensus DNA binding motifs, I have identified two additional targets of WT1 transcriptional repression, the proto-oncogenes bcl-2 and c-myc.^ I have investigated the ability of the alternatively spliced exon 5 to influence cell growth. In cell proliferation assays, isoforms of WT1 lacking exon 5 repress cell growth. WT1 isoforms containing exon 5 fail to repress cell growth to the same extent, but alter the morphology of the cells. These experiments demonstrate that the alternative splice isoforms of WT1 have differential effects on the function of WT1. These findings suggest a role for the alternative splicing of WT1 in metanephric development. ^

Weiss auf Rot. Das Schweizer Kreuz zwischen nationaler Identität und Corporate Identity

Das Schweizer Kreuz hat als Zeichen ausserordentliche Qualitäten und ein enormes Potenzial. Seine Verwendung geht weit über den unmittelbaren Bereich von Staat und Nation hinaus. Die Publikation der Hochschule der Künste Bern HKB erschliesst dieses Phänomen mit illustrierten Beiträgen von Fachleuten aus verschiedenen wissenschaftlichen Fachrichtungen. Für Nation, Staat, Politik und im Sport steht es als Symbol, im Kontext Wirtschaft ist es Teil von Logos, im Zusammenhang von Lifestyle und Zeitgeist tritt es als modisches Ornament auf. Das Schweizer Kreuz macht TrägerInnen und AbsenderInnen identifizierbar: Abstimmungsunterlagen als staatliche Dokumente, die Sportlerin als Mitglied des Nationalteams, den Inhaber eines Pas-ses oder einer Identitätskarte als Schweizer Bürger; Post oder SBB als schweizerische Dienstleister; die Besitzerin einer Tasche als Vertreterin einer Lifestyle-Gruppe oder Nachzüglerin eines sinkenden Trends; das Mineralwasser als natürliches, gesundes Produkt; eine Alu-Trinkflasche als flottes Qualitätsprodukt. Interdisziplinärer Zugang «Weiss auf Rot. Das Schweizer Kreuz zwischen nationaler Identität und Corporate Identity» ist eine Textsammlung, die entsprechend der Vielfältigkeit des Themas auch eine Vielfalt von Annäherungen an den Gegenstand bietet. Die 13 wissenschaftlichen Texte werden ergänzt durch fünf Interviews mit VertreterInnen aus Politik, Wirtschaft, Sportwissenschaft und Gestaltung, die in ihrem berufli-chen Alltag einen praktischen Bezug zum Schweizer Kreuz haben.

Maximizing efficacy of the hypomethylating drug 5-aza-2'-deoxycytidine in human leukemia

5-aza-2'-deoxycytidine (DAC) is a cytidine analogue that strongly inhibits DNA methylation, and was recently approved for the treatment of myelodysplastic syndromes (MDS). To maximize clinical results with DAC, we investigated its use as an anti-cancer drug. We also investigated mechanisms of resistance to DAC in vitro in cancer cell lines and in vivo in MDS patients after relapse. We found DAC sensitized cells to the effect of 1-β-D-Arabinofuranosylcytosine (Ara-C). The combination of DAC and Ara-C or Ara-C following DAC showed additive or synergistic effects on cell death in four human leukemia cell lines in vitro, but antagonism in terms of global methylation. RIL gene activation and H3 lys-9 acetylation of short interspersed elements (Alu). One possible explanation is that hypomethylated cells are sensitized to cell killing by Ara-C. Turning to resistance, we found that the IC50 of DAC differed 1000 fold among and was correlated with the dose of DAC that induced peak hypomethylation of long interspersed nuclear elements (LINE) (r=0.94, P<0.001), but not with LINE methylation at baseline (r=0.05, P=0.97). Sensitivity to DAC did not significantly correlate with sensitivity to another hypomethylating agent 5-azacytidine (AZA) (r=0.44, P=0.11). The cell lines most resistant to DAC had low dCK, hENT1, and hENT2 transporters and high cytosine deaminase (CDA). In an HL60 leukemia cell line, resistance to DAC could be rapidly induced by drug exposure, and was related to a switch from monoallelic to biallelic mutation of dCK or a loss of wild type DCK allele. Furthermore, we showed that DAC induced DNA breaks evidenced by histone H2AX phosphorylation and increased homologous recombination rates 7-10 folds. Finally, we found there were no dCK mutations in MDS patients after relapse. Cytogenetics showed that three of the patients acquired new abnormalities at relapse. These data suggest that in vitro spontaneous and acquired resistance to DAC can be explained by insufficient incorporation of drug into DNA. In vivo resistance to DAC is likely due to methylation-independent pathways such as chromosome changes. The lack of cross resistance between DAC and AZA is of potential clinical relevance, as is the combination of DAC and Ara-C. ^

The effect of DNA methylation in carcinogenesis

CpG island methylation within single gene promoters can silence expression of associated genes. We first extended these studies to bidirectional gene pairs controlled by single promoters. We showed that hypermethylation of bidirectional promoter-associated CpG island silences gene pairs (WNT9A/CD558500, CTDSPL/BC040563, and KCNK15/BF 195580) simultaneously. Hypomethylation of these promoters by 5-aza-2'-deoxycytidine treatment reactivated or enhanced gene expression bidirectionally. These results were further confirmed by luciferase assays. Methylation of WNT9A/CD558500 and CTDSPL/BC040563 promoters occurs frequently in primary colon cancers and acute lymphoid leukemia, respectively. ^ Next we sought to understand the origins of hypermethylation in cancer. CpG islands associated with tumor suppressor genes are normally free from methylation, but can be hypermethylated in cancer. It remains poorly understood how these genes are protected from methylation in normal tissues. In our studies, we aimed to determine if cis-acting elements in these genes are responsible for this protection, using the tumor suppressor gene p16 as a model. We found that Alu repeats located both upstream and downstream of the p16 promoter become hypermethylated with age. In colon cancer samples, the methylation level is particularly high, and the promoter can also be affected. Therefore, the protection in the promoter against methylation spreading could fail during tumorigenesis. This methylation pattern in p16 was also observed in cell lines of different tissue origins, and their methylation levels were found to be inversely correlated with that of active histone modification markers (H3K4-3me and H3K9-Ac). To identify the mechanism of protection against methylation spreading, we constructed serial deletions of the p16 protected region and used silencing of a neomycin reporter gene to evaluate the protective effects of these fragments. A 126 bp element was identified within the region which exerts bidirectional protection against DNA methylation, independently of its transcriptional activity. The protective strength of this element is comparable to that of the HS4 insulator. During long-term culture, the presence of this element significantly slowed methylation spreading. In conclusion, we have found that an element located in the p16 promoter is responsible for protection against DNA methylation spreading in normal tissues. The failure of protective cis-elements may be a general feature of tumor-suppressor gene silencing during tumorigenesis. ^

Axl -Gas6 signaling counteracts adenovirus type 5 E1A-mediated cell growth suppression and proapoptotic activity

The adenovirus type 5 E1A (abbreviated E1A) has previously been known as an immortalization oncogene because E1A is required for transforming oncogenes, such as ras and E1B, to transform cells in primary cultures. However, E1A has also been shown to downregulate the overexpression of the Her-2/neu oncogene, resulting in suppression of transformation and tumorigenesis induced by that oncogene. In addition, E1A is able to promote apoptosis induced by anticancer drugs, irradiation, and serum deprivation. Many tyrosine kinases, such as the EGF receptor, Her-2/Neu, Src, and Axl are known to play a role in oncogenic signals in transformed cells. To study the mechanism underlying the E1A-mediated tumor-suppressing function, we exploited a modified tyrosine kinase profile assay (Proc. Natl. Acad. Sci, 93, 5958–5962, 1996) to identify potential tyrosine kinases regulated by E1A. RT-PCR products were synthesized with two degenerate primers derived from the conserved motifs of various tyrosine kinases. A tyrosine kinase downregulated by E1A was identified as Axl by analyzing the Alu I-digested RT-PCR products. We isolated the DNA fragment of interest, and found that E1A negatively regulated the expression of the transforming receptor tyrosine kinase Axl at the transcriptional level. To study whether downregulation of the Axl receptor is involved in E1A-mediated growth suppression, we transfected axl cDNA into E1A-expressing cells (ip1-E1A) to establish cells that overexpressed Axl (ip1-E1A-Axl). The Axl ligand Gas6 triggered a greater mitogenic effect in these ip1-E1A-Axl cells than in the control cells ip1-E1A and protected the Axl-expressing cells from serum deprivation-induced apoptosis. Further study showed that Akt is required for Axl-Gas6 signaling to prevent ip1-E1A-Axl cells from serum deprivation-induced apoptosis. These results indicate that downregulation of the Axl receptor by E1A is involved in E1A-mediated growth suppression and E1A-induced apoptosis, and thereby contributes to E1A's anti-tumor activities. ^

Parametric and structural self-adaptation of embedded systems using evolvable hardware

Los sistemas empotrados han sido concebidos tradicionalmente como sistemas de procesamiento específicos que realizan una tarea fija durante toda su vida útil. Para cumplir con requisitos estrictos de coste, tamaño y peso, el equipo de diseño debe optimizar su funcionamiento para condiciones muy específicas. Sin embargo, la demanda de mayor versatilidad, un funcionamiento más inteligente y, en definitiva, una mayor capacidad de procesamiento comenzaron a chocar con estas limitaciones, agravado por la incertidumbre asociada a entornos de operación cada vez más dinámicos donde comenzaban a ser desplegados progresivamente. Esto trajo como resultado una necesidad creciente de que los sistemas pudieran responder por si solos a eventos inesperados en tiempo diseño tales como: cambios en las características de los datos de entrada y el entorno del sistema en general; cambios en la propia plataforma de cómputo, por ejemplo debido a fallos o defectos de fabricación; y cambios en las propias especificaciones funcionales causados por unos objetivos del sistema dinámicos y cambiantes. Como consecuencia, la complejidad del sistema aumenta, pero a cambio se habilita progresivamente una capacidad de adaptación autónoma sin intervención humana a lo largo de la vida útil, permitiendo que tomen sus propias decisiones en tiempo de ejecución. Éstos sistemas se conocen, en general, como sistemas auto-adaptativos y tienen, entre otras características, las de auto-configuración, auto-optimización y auto-reparación. Típicamente, la parte soft de un sistema es mayoritariamente la única utilizada para proporcionar algunas capacidades de adaptación a un sistema. Sin embargo, la proporción rendimiento/potencia en dispositivos software como microprocesadores en muchas ocasiones no es adecuada para sistemas empotrados. En este escenario, el aumento resultante en la complejidad de las aplicaciones está siendo abordado parcialmente mediante un aumento en la complejidad de los dispositivos en forma de multi/many-cores; pero desafortunadamente, esto hace que el consumo de potencia también aumente. Además, la mejora en metodologías de diseño no ha sido acorde como para poder utilizar toda la capacidad de cómputo disponible proporcionada por los núcleos. Por todo ello, no se están satisfaciendo adecuadamente las demandas de cómputo que imponen las nuevas aplicaciones. La solución tradicional para mejorar la proporción rendimiento/potencia ha sido el cambio a unas especificaciones hardware, principalmente usando ASICs. Sin embargo, los costes de un ASIC son altamente prohibitivos excepto en algunos casos de producción en masa y además la naturaleza estática de su estructura complica la solución a las necesidades de adaptación. Los avances en tecnologías de fabricación han hecho que la FPGA, una vez lenta y pequeña, usada como glue logic en sistemas mayores, haya crecido hasta convertirse en un dispositivo de cómputo reconfigurable de gran potencia, con una cantidad enorme de recursos lógicos computacionales y cores hardware empotrados de procesamiento de señal y de propósito general. Sus capacidades de reconfiguración han permitido combinar la flexibilidad propia del software con el rendimiento del procesamiento en hardware, lo que tiene la potencialidad de provocar un cambio de paradigma en arquitectura de computadores, pues el hardware no puede ya ser considerado más como estático. El motivo es que como en el caso de las FPGAs basadas en tecnología SRAM, la reconfiguración parcial dinámica (DPR, Dynamic Partial Reconfiguration) es posible. Esto significa que se puede modificar (reconfigurar) un subconjunto de los recursos computacionales en tiempo de ejecución mientras el resto permanecen activos. Además, este proceso de reconfiguración puede ser ejecutado internamente por el propio dispositivo. El avance tecnológico en dispositivos hardware reconfigurables se encuentra recogido bajo el campo conocido como Computación Reconfigurable (RC, Reconfigurable Computing). Uno de los campos de aplicación más exóticos y menos convencionales que ha posibilitado la computación reconfigurable es el conocido como Hardware Evolutivo (EHW, Evolvable Hardware), en el cual se encuentra enmarcada esta tesis. La idea principal del concepto consiste en convertir hardware que es adaptable a través de reconfiguración en una entidad evolutiva sujeta a las fuerzas de un proceso evolutivo inspirado en el de las especies biológicas naturales, que guía la dirección del cambio. Es una aplicación más del campo de la Computación Evolutiva (EC, Evolutionary Computation), que comprende una serie de algoritmos de optimización global conocidos como Algoritmos Evolutivos (EA, Evolutionary Algorithms), y que son considerados como algoritmos universales de resolución de problemas. En analogía al proceso biológico de la evolución, en el hardware evolutivo el sujeto de la evolución es una población de circuitos que intenta adaptarse a su entorno mediante una adecuación progresiva generación tras generación. Los individuos pasan a ser configuraciones de circuitos en forma de bitstreams caracterizados por descripciones de circuitos reconfigurables. Seleccionando aquellos que se comportan mejor, es decir, que tienen una mejor adecuación (o fitness) después de ser evaluados, y usándolos como padres de la siguiente generación, el algoritmo evolutivo crea una nueva población hija usando operadores genéticos como la mutación y la recombinación. Según se van sucediendo generaciones, se espera que la población en conjunto se aproxime a la solución óptima al problema de encontrar una configuración del circuito adecuada que satisfaga las especificaciones. El estado de la tecnología de reconfiguración después de que la familia de FPGAs XC6200 de Xilinx fuera retirada y reemplazada por las familias Virtex a finales de los 90, supuso un gran obstáculo para el avance en hardware evolutivo; formatos de bitstream cerrados (no conocidos públicamente); dependencia de herramientas del fabricante con soporte limitado de DPR; una velocidad de reconfiguración lenta; y el hecho de que modificaciones aleatorias del bitstream pudieran resultar peligrosas para la integridad del dispositivo, son algunas de estas razones. Sin embargo, una propuesta a principios de los años 2000 permitió mantener la investigación en el campo mientras la tecnología de DPR continuaba madurando, el Circuito Virtual Reconfigurable (VRC, Virtual Reconfigurable Circuit). En esencia, un VRC en una FPGA es una capa virtual que actúa como un circuito reconfigurable de aplicación específica sobre la estructura nativa de la FPGA que reduce la complejidad del proceso reconfiguración y aumenta su velocidad (comparada con la reconfiguración nativa). Es un array de nodos computacionales especificados usando descripciones HDL estándar que define recursos reconfigurables ad-hoc: multiplexores de rutado y un conjunto de elementos de procesamiento configurables, cada uno de los cuales tiene implementadas todas las funciones requeridas, que pueden seleccionarse a través de multiplexores tal y como ocurre en una ALU de un microprocesador. Un registro grande actúa como memoria de configuración, por lo que la reconfiguración del VRC es muy rápida ya que tan sólo implica la escritura de este registro, el cual controla las señales de selección del conjunto de multiplexores. Sin embargo, esta capa virtual provoca: un incremento de área debido a la implementación simultánea de cada función en cada nodo del array más los multiplexores y un aumento del retardo debido a los multiplexores, reduciendo la frecuencia de funcionamiento máxima. La naturaleza del hardware evolutivo, capaz de optimizar su propio comportamiento computacional, le convierten en un buen candidato para avanzar en la investigación sobre sistemas auto-adaptativos. Combinar un sustrato de cómputo auto-reconfigurable capaz de ser modificado dinámicamente en tiempo de ejecución con un algoritmo empotrado que proporcione una dirección de cambio, puede ayudar a satisfacer los requisitos de adaptación autónoma de sistemas empotrados basados en FPGA. La propuesta principal de esta tesis está por tanto dirigida a contribuir a la auto-adaptación del hardware de procesamiento de sistemas empotrados basados en FPGA mediante hardware evolutivo. Esto se ha abordado considerando que el comportamiento computacional de un sistema puede ser modificado cambiando cualquiera de sus dos partes constitutivas: una estructura hard subyacente y un conjunto de parámetros soft. De esta distinción, se derivan dos lineas de trabajo. Por un lado, auto-adaptación paramétrica, y por otro auto-adaptación estructural. El objetivo perseguido en el caso de la auto-adaptación paramétrica es la implementación de técnicas de optimización evolutiva complejas en sistemas empotrados con recursos limitados para la adaptación paramétrica online de circuitos de procesamiento de señal. La aplicación seleccionada como prueba de concepto es la optimización para tipos muy específicos de imágenes de los coeficientes de los filtros de transformadas wavelet discretas (DWT, DiscreteWavelet Transform), orientada a la compresión de imágenes. Por tanto, el objetivo requerido de la evolución es una compresión adaptativa y más eficiente comparada con los procedimientos estándar. El principal reto radica en reducir la necesidad de recursos de supercomputación para el proceso de optimización propuesto en trabajos previos, de modo que se adecúe para la ejecución en sistemas empotrados. En cuanto a la auto-adaptación estructural, el objetivo de la tesis es la implementación de circuitos auto-adaptativos en sistemas evolutivos basados en FPGA mediante un uso eficiente de sus capacidades de reconfiguración nativas. En este caso, la prueba de concepto es la evolución de tareas de procesamiento de imagen tales como el filtrado de tipos desconocidos y cambiantes de ruido y la detección de bordes en la imagen. En general, el objetivo es la evolución en tiempo de ejecución de tareas de procesamiento de imagen desconocidas en tiempo de diseño (dentro de un cierto grado de complejidad). En este caso, el objetivo de la propuesta es la incorporación de DPR en EHW para evolucionar la arquitectura de un array sistólico adaptable mediante reconfiguración cuya capacidad de evolución no había sido estudiada previamente. Para conseguir los dos objetivos mencionados, esta tesis propone originalmente una plataforma evolutiva que integra un motor de adaptación (AE, Adaptation Engine), un motor de reconfiguración (RE, Reconfiguration Engine) y un motor computacional (CE, Computing Engine) adaptable. El el caso de adaptación paramétrica, la plataforma propuesta está caracterizada por: • un CE caracterizado por un núcleo de procesamiento hardware de DWT adaptable mediante registros reconfigurables que contienen los coeficientes de los filtros wavelet • un algoritmo evolutivo como AE que busca filtros wavelet candidatos a través de un proceso de optimización paramétrica desarrollado específicamente para sistemas caracterizados por recursos de procesamiento limitados • un nuevo operador de mutación simplificado para el algoritmo evolutivo utilizado, que junto con un mecanismo de evaluación rápida de filtros wavelet candidatos derivado de la literatura actual, asegura la viabilidad de la búsqueda evolutiva asociada a la adaptación de wavelets. En el caso de adaptación estructural, la plataforma propuesta toma la forma de: • un CE basado en una plantilla de array sistólico reconfigurable de 2 dimensiones compuesto de nodos de procesamiento reconfigurables • un algoritmo evolutivo como AE que busca configuraciones candidatas del array usando un conjunto de funcionalidades de procesamiento para los nodos disponible en una biblioteca accesible en tiempo de ejecución • un RE hardware que explota la capacidad de reconfiguración nativa de las FPGAs haciendo un uso eficiente de los recursos reconfigurables del dispositivo para cambiar el comportamiento del CE en tiempo de ejecución • una biblioteca de elementos de procesamiento reconfigurables caracterizada por bitstreams parciales independientes de la posición, usados como el conjunto de configuraciones disponibles para los nodos de procesamiento del array Las contribuciones principales de esta tesis se pueden resumir en la siguiente lista: • Una plataforma evolutiva basada en FPGA para la auto-adaptación paramétrica y estructural de sistemas empotrados compuesta por un motor computacional (CE), un motor de adaptación (AE) evolutivo y un motor de reconfiguración (RE). Esta plataforma se ha desarrollado y particularizado para los casos de auto-adaptación paramétrica y estructural. • En cuanto a la auto-adaptación paramétrica, las contribuciones principales son: – Un motor computacional adaptable mediante registros que permite la adaptación paramétrica de los coeficientes de una implementación hardware adaptativa de un núcleo de DWT. – Un motor de adaptación basado en un algoritmo evolutivo desarrollado específicamente para optimización numérica, aplicada a los coeficientes de filtros wavelet en sistemas empotrados con recursos limitados. – Un núcleo IP de DWT auto-adaptativo en tiempo de ejecución para sistemas empotrados que permite la optimización online del rendimiento de la transformada para compresión de imágenes en entornos específicos de despliegue, caracterizados por tipos diferentes de señal de entrada. – Un modelo software y una implementación hardware de una herramienta para la construcción evolutiva automática de transformadas wavelet específicas. • Por último, en cuanto a la auto-adaptación estructural, las contribuciones principales son: – Un motor computacional adaptable mediante reconfiguración nativa de FPGAs caracterizado por una plantilla de array sistólico en dos dimensiones de nodos de procesamiento reconfigurables. Es posible mapear diferentes tareas de cómputo en el array usando una biblioteca de elementos sencillos de procesamiento reconfigurables. – Definición de una biblioteca de elementos de procesamiento apropiada para la síntesis autónoma en tiempo de ejecución de diferentes tareas de procesamiento de imagen. – Incorporación eficiente de la reconfiguración parcial dinámica (DPR) en sistemas de hardware evolutivo, superando los principales inconvenientes de propuestas previas como los circuitos reconfigurables virtuales (VRCs). En este trabajo también se comparan originalmente los detalles de implementación de ambas propuestas. – Una plataforma tolerante a fallos, auto-curativa, que permite la recuperación funcional online en entornos peligrosos. La plataforma ha sido caracterizada desde una perspectiva de tolerancia a fallos: se proponen modelos de fallo a nivel de CLB y de elemento de procesamiento, y usando el motor de reconfiguración, se hace un análisis sistemático de fallos para un fallo en cada elemento de procesamiento y para dos fallos acumulados. – Una plataforma con calidad de filtrado dinámica que permite la adaptación online a tipos de ruido diferentes y diferentes comportamientos computacionales teniendo en cuenta los recursos de procesamiento disponibles. Por un lado, se evolucionan filtros con comportamientos no destructivos, que permiten esquemas de filtrado en cascada escalables; y por otro, también se evolucionan filtros escalables teniendo en cuenta requisitos computacionales de filtrado cambiantes dinámicamente. Este documento está organizado en cuatro partes y nueve capítulos. La primera parte contiene el capítulo 1, una introducción y motivación sobre este trabajo de tesis. A continuación, el marco de referencia en el que se enmarca esta tesis se analiza en la segunda parte: el capítulo 2 contiene una introducción a los conceptos de auto-adaptación y computación autonómica (autonomic computing) como un campo de investigación más general que el muy específico de este trabajo; el capítulo 3 introduce la computación evolutiva como la técnica para dirigir la adaptación; el capítulo 4 analiza las plataformas de computación reconfigurables como la tecnología para albergar hardware auto-adaptativo; y finalmente, el capítulo 5 define, clasifica y hace un sondeo del campo del hardware evolutivo. Seguidamente, la tercera parte de este trabajo contiene la propuesta, desarrollo y resultados obtenidos: mientras que el capítulo 6 contiene una declaración de los objetivos de la tesis y la descripción de la propuesta en su conjunto, los capítulos 7 y 8 abordan la auto-adaptación paramétrica y estructural, respectivamente. Finalmente, el capítulo 9 de la parte 4 concluye el trabajo y describe caminos de investigación futuros. ABSTRACT Embedded systems have traditionally been conceived to be specific-purpose computers with one, fixed computational task for their whole lifetime. Stringent requirements in terms of cost, size and weight forced designers to highly optimise their operation for very specific conditions. However, demands for versatility, more intelligent behaviour and, in summary, an increased computing capability began to clash with these limitations, intensified by the uncertainty associated to the more dynamic operating environments where they were progressively being deployed. This brought as a result an increasing need for systems to respond by themselves to unexpected events at design time, such as: changes in input data characteristics and system environment in general; changes in the computing platform itself, e.g., due to faults and fabrication defects; and changes in functional specifications caused by dynamically changing system objectives. As a consequence, systems complexity is increasing, but in turn, autonomous lifetime adaptation without human intervention is being progressively enabled, allowing them to take their own decisions at run-time. This type of systems is known, in general, as selfadaptive, and are able, among others, of self-configuration, self-optimisation and self-repair. Traditionally, the soft part of a system has mostly been so far the only place to provide systems with some degree of adaptation capabilities. However, the performance to power ratios of software driven devices like microprocessors are not adequate for embedded systems in many situations. In this scenario, the resulting rise in applications complexity is being partly addressed by rising devices complexity in the form of multi and many core devices; but sadly, this keeps on increasing power consumption. Besides, design methodologies have not been improved accordingly to completely leverage the available computational power from all these cores. Altogether, these factors make that the computing demands new applications pose are not being wholly satisfied. The traditional solution to improve performance to power ratios has been the switch to hardware driven specifications, mainly using ASICs. However, their costs are highly prohibitive except for some mass production cases and besidesthe static nature of its structure complicates the solution to the adaptation needs. The advancements in fabrication technologies have made that the once slow, small FPGA used as glue logic in bigger systems, had grown to be a very powerful, reconfigurable computing device with a vast amount of computational logic resources and embedded, hardened signal and general purpose processing cores. Its reconfiguration capabilities have enabled software-like flexibility to be combined with hardware-like computing performance, which has the potential to cause a paradigm shift in computer architecture since hardware cannot be considered as static anymore. This is so, since, as is the case with SRAMbased FPGAs, Dynamic Partial Reconfiguration (DPR) is possible. This means that subsets of the FPGA computational resources can now be changed (reconfigured) at run-time while the rest remains active. Besides, this reconfiguration process can be triggered internally by the device itself. This technological boost in reconfigurable hardware devices is actually covered under the field known as Reconfigurable Computing. One of the most exotic fields of application that Reconfigurable Computing has enabled is the known as Evolvable Hardware (EHW), in which this dissertation is framed. The main idea behind the concept is turning hardware that is adaptable through reconfiguration into an evolvable entity subject to the forces of an evolutionary process, inspired by that of natural, biological species, that guides the direction of change. It is yet another application of the field of Evolutionary Computation (EC), which comprises a set of global optimisation algorithms known as Evolutionary Algorithms (EAs), considered as universal problem solvers. In analogy to the biological process of evolution, in EHW the subject of evolution is a population of circuits that tries to get adapted to its surrounding environment by progressively getting better fitted to it generation after generation. Individuals become circuit configurations representing bitstreams that feature reconfigurable circuit descriptions. By selecting those that behave better, i.e., with a higher fitness value after being evaluated, and using them as parents of the following generation, the EA creates a new offspring population by using so called genetic operators like mutation and recombination. As generations succeed one another, the whole population is expected to approach to the optimum solution to the problem of finding an adequate circuit configuration that fulfils system objectives. The state of reconfiguration technology after Xilinx XC6200 FPGA family was discontinued and replaced by Virtex families in the late 90s, was a major obstacle for advancements in EHW; closed (non publicly known) bitstream formats; dependence on manufacturer tools with highly limiting support of DPR; slow speed of reconfiguration; and random bitstream modifications being potentially hazardous for device integrity, are some of these reasons. However, a proposal in the first 2000s allowed to keep investigating in this field while DPR technology kept maturing, the Virtual Reconfigurable Circuit (VRC). In essence, a VRC in an FPGA is a virtual layer acting as an application specific reconfigurable circuit on top of an FPGA fabric that reduces the complexity of the reconfiguration process and increases its speed (compared to native reconfiguration). It is an array of computational nodes specified using standard HDL descriptions that define ad-hoc reconfigurable resources; routing multiplexers and a set of configurable processing elements, each one containing all the required functions, which are selectable through functionality multiplexers as in microprocessor ALUs. A large register acts as configuration memory, so VRC reconfiguration is very fast given it only involves writing this register, which drives the selection signals of the set of multiplexers. However, large overheads are introduced by this virtual layer; an area overhead due to the simultaneous implementation of every function in every node of the array plus the multiplexers, and a delay overhead due to the multiplexers, which also reduces maximum frequency of operation. The very nature of Evolvable Hardware, able to optimise its own computational behaviour, makes it a good candidate to advance research in self-adaptive systems. Combining a selfreconfigurable computing substrate able to be dynamically changed at run-time with an embedded algorithm that provides a direction for change, can help fulfilling requirements for autonomous lifetime adaptation of FPGA-based embedded systems. The main proposal of this thesis is hence directed to contribute to autonomous self-adaptation of the underlying computational hardware of FPGA-based embedded systems by means of Evolvable Hardware. This is tackled by considering that the computational behaviour of a system can be modified by changing any of its two constituent parts: an underlying hard structure and a set of soft parameters. Two main lines of work derive from this distinction. On one side, parametric self-adaptation and, on the other side, structural self-adaptation. The goal pursued in the case of parametric self-adaptation is the implementation of complex evolutionary optimisation techniques in resource constrained embedded systems for online parameter adaptation of signal processing circuits. The application selected as proof of concept is the optimisation of Discrete Wavelet Transforms (DWT) filters coefficients for very specific types of images, oriented to image compression. Hence, adaptive and improved compression efficiency, as compared to standard techniques, is the required goal of evolution. The main quest lies in reducing the supercomputing resources reported in previous works for the optimisation process in order to make it suitable for embedded systems. Regarding structural self-adaptation, the thesis goal is the implementation of self-adaptive circuits in FPGA-based evolvable systems through an efficient use of native reconfiguration capabilities. In this case, evolution of image processing tasks such as filtering of unknown and changing types of noise and edge detection are the selected proofs of concept. In general, evolving unknown image processing behaviours (within a certain complexity range) at design time is the required goal. In this case, the mission of the proposal is the incorporation of DPR in EHW to evolve a systolic array architecture adaptable through reconfiguration whose evolvability had not been previously checked. In order to achieve the two stated goals, this thesis originally proposes an evolvable platform that integrates an Adaptation Engine (AE), a Reconfiguration Engine (RE) and an adaptable Computing Engine (CE). In the case of parametric adaptation, the proposed platform is characterised by: • a CE featuring a DWT hardware processing core adaptable through reconfigurable registers that holds wavelet filters coefficients • an evolutionary algorithm as AE that searches for candidate wavelet filters through a parametric optimisation process specifically developed for systems featured by scarce computing resources • a new, simplified mutation operator for the selected EA, that together with a fast evaluation mechanism of candidate wavelet filters derived from existing literature, assures the feasibility of the evolutionary search involved in wavelets adaptation In the case of structural adaptation, the platform proposal takes the form of: • a CE based on a reconfigurable 2D systolic array template composed of reconfigurable processing nodes • an evolutionary algorithm as AE that searches for candidate configurations of the array using a set of computational functionalities for the nodes available in a run time accessible library • a hardware RE that exploits native DPR capabilities of FPGAs and makes an efficient use of the available reconfigurable resources of the device to change the behaviour of the CE at run time • a library of reconfigurable processing elements featured by position-independent partial bitstreams used as the set of available configurations for the processing nodes of the array Main contributions of this thesis can be summarised in the following list. • An FPGA-based evolvable platform for parametric and structural self-adaptation of embedded systems composed of a Computing Engine, an evolutionary Adaptation Engine and a Reconfiguration Engine. This platform is further developed and tailored for both parametric and structural self-adaptation. • Regarding parametric self-adaptation, main contributions are: – A CE adaptable through reconfigurable registers that enables parametric adaptation of the coefficients of an adaptive hardware implementation of a DWT core. – An AE based on an Evolutionary Algorithm specifically developed for numerical optimisation applied to wavelet filter coefficients in resource constrained embedded systems. – A run-time self-adaptive DWT IP core for embedded systems that allows for online optimisation of transform performance for image compression for specific deployment environments characterised by different types of input signals. – A software model and hardware implementation of a tool for the automatic, evolutionary construction of custom wavelet transforms. • Lastly, regarding structural self-adaptation, main contributions are: – A CE adaptable through native FPGA fabric reconfiguration featured by a two dimensional systolic array template of reconfigurable processing nodes. Different processing behaviours can be automatically mapped in the array by using a library of simple reconfigurable processing elements. – Definition of a library of such processing elements suited for autonomous runtime synthesis of different image processing tasks. – Efficient incorporation of DPR in EHW systems, overcoming main drawbacks from the previous approach of virtual reconfigurable circuits. Implementation details for both approaches are also originally compared in this work. – A fault tolerant, self-healing platform that enables online functional recovery in hazardous environments. The platform has been characterised from a fault tolerance perspective: fault models at FPGA CLB level and processing elements level are proposed, and using the RE, a systematic fault analysis for one fault in every processing element and for two accumulated faults is done. – A dynamic filtering quality platform that permits on-line adaptation to different types of noise and different computing behaviours considering the available computing resources. On one side, non-destructive filters are evolved, enabling scalable cascaded filtering schemes; and on the other, size-scalable filters are also evolved considering dynamically changing computational filtering requirements. This dissertation is organized in four parts and nine chapters. First part contains chapter 1, the introduction to and motivation of this PhD work. Following, the reference framework in which this dissertation is framed is analysed in the second part: chapter 2 features an introduction to the notions of self-adaptation and autonomic computing as a more general research field to the very specific one of this work; chapter 3 introduces evolutionary computation as the technique to drive adaptation; chapter 4 analyses platforms for reconfigurable computing as the technology to hold self-adaptive hardware; and finally chapter 5 defines, classifies and surveys the field of Evolvable Hardware. Third part of the work follows, which contains the proposal, development and results obtained: while chapter 6 contains an statement of the thesis goals and the description of the proposal as a whole, chapters 7 and 8 address parametric and structural self-adaptation, respectively. Finally, chapter 9 in part 4 concludes the work and describes future research paths.

Functional copies of a human gene can be directly isolated by transformation-associated recombination cloning with a small 3′ end target sequence

Unique, small sequences (sequence tag sites) have been identified at the 3′ ends of most human genes that serve as landmarks in genome mapping. We investigated whether a single copy gene could be isolated directly from total human DNA by transformation-associated recombination (TAR) cloning in yeast using a short, 3′ unique target. A TAR cloning vector was constructed that, when linearized, contained a small amount (381 bp) of 3′ hypoxanthine phosphoribosyltransferase (HPRT) sequence at one end and an 189-bp Alu repeat at the other end. Transformation with this vector along with human DNA led to selective isolations of the entire HPRT gene as yeast artificial chromosomes (YACs) that extended from the 3′ end sequence to various Alu positions as much as 600 kb upstream. These YACs were retrofitted with a NeoR and a bacterial artificial chromosome (BAC) sequence to transfer the YACs to bacteria and subsequently the BACs to mouse cells by using a Neo selection. Most of the HPRT isolates were functional, demonstrating that TAR cloning retains the functional integrity of the isolated material. Thus, this modified version of TAR cloning, which we refer to as radial TAR cloning, can be used to isolate large segments of the human genome accurately and directly with only a small amount of sequence information.

Panhandle PCR strategy to amplify MLL genomic breakpoints in treatment-related leukemias

Panhandle PCR amplifies genomic DNA with known 5′ and unknown 3′ sequences from a template with an intrastrand loop schematically shaped like a pan with a handle. We used panhandle PCR to clone MLL genomic breakpoints in two pediatric treatment-related leukemias. The karyotype in a case of treatment-related acute lymphoblastic leukemia showed the t(4;11)(q21;q23). Panhandle PCR amplified the translocation breakpoint at position 2158 in intron 6 in the 5′ MLL breakpoint cluster region (bcr). The karyotype in a case of treatment-related acute myeloid leukemia was normal, but Southern blot analysis showed a single MLL gene rearrangement. Panhandle PCR amplified the breakpoint at position 1493 in MLL intron 6. Screening of somatic cell hybrid and radiation hybrid DNAs by PCR and reverse transcriptase-PCR analysis of the leukemic cells indicated that panhandle PCR identified a fusion of MLL intron 6 with a previously uncharacterized sequence in MLL intron 1, consistent with a partial duplication. In both cases, the breakpoints in the MLL bcr were in Alu repeats, and there were Alu repeats in proximity to the breakpoints in the partner DNAs, suggesting that Alu sequences were relevant to these rearrangements. This study shows that panhandle PCR is an effective method for cloning MLL genomic breakpoints in treatment-related leukemias. Analysis of additional pediatric cases will determine whether breakpoint distribution deviates from the predilection for 3′ distribution in the bcr that has been found in adult cases.

Molecular origin of the mosaic sequence arrangements of higher primate α-globin duplication units

The human adult α-globin locus consists of three pairs of homology blocks (X, Y, and Z) interspersed with three nonhomology blocks (I, II, and III), and three Alu family repeats, Alu1, Alu2, and Alu3. It has been suggested that an ancient primate α-globin-containing unit was ancestral to the X, Y, and Z and the Alu1/Alu2 repeats. However, the evolutionary origin of the three nonhomologous blocks has remained obscure. We have now analyzed the sequence organization of the entire adult α-globin locus of gibbon (Hylobates lar). DNA segments homologous to human block I occur in both duplication units of the gibbon α-globin locus. Detailed interspecies sequence comparisons suggest that nonhomologous blocks I and II, as well as another sequence, IV, were all part of the ancestral α-globin-containing unit prior to its tandem duplication. However, sometime thereafter, block I was deleted from the human α1-globin-containing unit, and block II was also deleted from the α2-globin-containing unit in both human and gibbon. These were probably independent events both mediated by independent illegitimate recombination processes. Interestingly, the end points of these deletions coincide with potential insertion sites of Alu family repeats. These results suggest that the shaping of DNA segments in eukaryotic genomes involved the retroposition of repetitive DNA elements in conjunction with simple DNA recombination processes.

Signal recognition particle components in the nucleolus

The signal recognition particle (SRP) is a ribonucleoprotein composed of an Alu domain and an S domain. The S domain contains unique sequence SRP RNA and four SRP proteins: SRP19, SRP54, SRP68, and SRP72. SRP interacts with ribosomes to bring translating membrane and secreted proteins to the endoplasmic reticulum (ER) for proper processing. Additionally, SRP RNA is a member of a family of small nonribosomal RNAs found recently in the nucleolus, suggesting that the nucleolus is more plurifunctional than previously realized. It was therefore of interest to determine whether other SRP components localize to this intranuclear site. In transfected rat fibroblasts, green fluorescent protein fusions of SRP19, SRP68, and SRP72 localized to the nucleolus, as well as to the cytoplasm, as expected. SRP68 also accumulated in the ER, consistent with its affinity for the ER-bound SRP receptor. SRP54 was detected in the cytoplasm as a green fluorescent protein fusion and in immunofluorescence studies, but was not detected in the nucleolus. In situ hybridization experiments also revealed endogenous SRP RNA in the nucleolus. These results demonstrate that SRP RNA and three SRP proteins visit the nucleolus, suggesting that partial SRP assembly, or another unidentified activity of the SRP components, occurs at the nucleolus. SRP54 apparently interacts with nascent SRP beyond the nucleolus, consistent with in vitro reconstitution experiments showing that SRP19 must bind to SRP RNA before SRP54 binds. Our findings support the notion that the nucleolus is the site of assembly and/or interaction between the family of ribonucleoproteins involved in protein synthesis, in addition to ribosomes themselves.

Gene2EST: a BLAST2 server for searching expressed sequence tag (EST) databases with eukaryotic gene-sized queries

Expressed sequence tags (ESTs) are randomly sequenced cDNA clones. Currently, nearly 3 million human and 2 million mouse ESTs provide valuable resources that enable researchers to investigate the products of gene expression. The EST databases have proven to be useful tools for detecting homologous genes, for exon mapping, revealing differential splicing, etc. With the increasing availability of large amounts of poorly characterised eukaryotic (notably human) genomic sequence, ESTs have now become a vital tool for gene identification, sometimes yielding the only unambiguous evidence for the existence of a gene expression product. However, BLAST-based Web servers available to the general user have not kept pace with these developments and do not provide appropriate tools for querying EST databases with large highly spliced genes, often spanning 50 000–100 000 bases or more. Here we describe Gene2EST (http://woody.embl-heidelberg.de/gene2est/), a server that brings together a set of tools enabling efficient retrieval of ESTs matching large DNA queries and their subsequent analysis. RepeatMasker is used to mask dispersed repetitive sequences (such as Alu elements) in the query, BLAST2 for searching EST databases and Artemis for graphical display of the findings. Gene2EST combines these components into a Web resource targeted at the researcher who wishes to study one or a few genes to a high level of detail.

Molecular cytogenetic delineation of a novel critical genomic region in chromosome bands 11q22.3-923.1 in lymphoproliferative disorders.

Aberrations of the long arm of chromosome 11 are among the most common chromosome abnormalities in lymphoproliferative disorders (LPD). Translocations involving BCL1 at 11q13 are strongly associated with mantle cell lymphoma. other nonrandom aberrations, especially deletions and, less frequently, translocations, involving bands 11q21-923 have been identified by chromosome banding analysis. To date, the critical genomic segment and candidate genes involved in these deletions have not been identified. In the present study, we have analyzed tumors from 43 patients with LPD (B-cell chronic lymphocytic leukemia, n = 40; mantle cell lymphoma, n = 3) showing aberrations of bands 11q21-923 by fluorescence in situ hybridization. As probes we used Alu-PCR products from 17 yeast artificial chromosome clones spanning chromosome bands 11q14.3-923.3, including a panel of yeast artificial chromosome clones recognizing a contiguous genomic DNA fragment of approximately 9-10 Mb in bands 11q22.3-923.3. In the 41 tumors exhibiting deletions, we identified a commonly deleted segment in band 11q22.3-923.1; this region is approximately 2-3 Mb in size and contains the genes coding for ATM (ataxia telangiectasia mutated), RDX (radixin), and FDX1 (ferredoxin 1). Furthermore, two translocation break-points were localized to a 1.8-Mb genomic fragment contained within the commonly deleted segment. Thus, we have identified a single critical region of 2-3 Mb in size in which 11q14-923 aberrations in LPD cluster. This provides the basis for the identification of the gene(s) at 11q22.3-923.1 that are involved in the pathogenesis of LPD.

DNA sequence insertion and evolutionary variation in gene regulation.

Current evidence on the long-term evolutionary effect of insertion of sequence elements into gene regions is reviewed, restricted to cases where a sequence derived from a past insertion participates in the regulation of expression of a useful gene. Ten such examples in eukaryotes demonstrate that segments of repetitive DNA or mobile elements have been inserted in the past in gene regions, have been preserved, sometimes modified by selection, and now affect control of transcription of the adjacent gene. Included are only examples in which transcription control was modified by the insert. Several cases in which merely transcription initiation occurred in the insert were set aside. Two of the examples involved the long terminal repeats of mammalian endogenous retroviruses. Another two examples were control of transcription by repeated sequence inserts in sea urchin genomes. There are now six published examples in which Alu sequences were inserted long ago into human gene regions, were modified, and now are central in control/enhancement of transcription. The number of published examples of Alu sequences affecting gene control has grown threefold in the last year and is likely to continue growing. Taken together, all of these examples show that the insertion of sequence elements in the genome has been a significant source of regulatory variation in evolution.