Aneuploidy Tolerance in a Polyploid Organ

Endopolyploid cells (hereafter - polyploid cells), which contain whole genome duplications in an otherwise diploid organism, play vital roles in development and physiology of diverse organs such as our heart and liver. Polyploidy is also observed with high frequency in many tumors, and division of such cells frequently creates aneuploidy (chromosomal imbalances), a hallmark of cancer. Despite its frequent occurrence and association with aneuploidy, little is known about the specific role that polyploidy plays in diverse contexts. Using a new model tissue, the Drosophila rectal papilla, we sought to uncover connections between polyploidy and aneuploidy during organ development. Our lab previously discovered that the papillar cells of the Drosophila hindgut undergo developmentally programmed polyploid cell divisions, and that these polyploid cell divisions are highly error-prone. Time-lapse studies of polyploid mitosis revealed that the papillar cells undergo a high percentage of tripolar anaphase, which causes extreme aneuploidy. Despite this massive chromosome imbalance, we found the tripolar daughter cells are viable and support normal organ development and function, suggesting acquiring extra genome sets enables a cell to tolerate the genomic alterations incurred by aneuploidy. We further extended these findings by seeking mechanisms by which the papillar cells tolerated this resultant aneuploidy.

Algorithmes de construction et correction d'arbres de gènes par la réconciliation

Les gènes, qui servent à encoder les fonctions biologiques des êtres vivants, forment l'unité moléculaire de base de l'hérédité. Afin d'expliquer la diversité des espèces que l'on peut observer aujourd'hui, il est essentiel de comprendre comment les gènes évoluent. Pour ce faire, on doit recréer le passé en inférant leur phylogénie, c'est-à-dire un arbre de gènes qui représente les liens de parenté des régions codantes des vivants. Les méthodes classiques d'inférence phylogénétique ont été élaborées principalement pour construire des arbres d'espèces et ne se basent que sur les séquences d'ADN. Les gènes sont toutefois riches en information, et on commence à peine à voir apparaître des méthodes de reconstruction qui utilisent leurs propriétés spécifiques. Notamment, l'histoire d'une famille de gènes en terme de duplications et de pertes, obtenue par la réconciliation d'un arbre de gènes avec un arbre d'espèces, peut nous permettre de détecter des faiblesses au sein d'un arbre et de l'améliorer. Dans cette thèse, la réconciliation est appliquée à la construction et la correction d'arbres de gènes sous trois angles différents: 1) Nous abordons la problématique de résoudre un arbre de gènes non-binaire. En particulier, nous présentons un algorithme en temps linéaire qui résout une polytomie en se basant sur la réconciliation. 2) Nous proposons une nouvelle approche de correction d'arbres de gènes par les relations d'orthologie et paralogie. Des algorithmes en temps polynomial sont présentés pour les problèmes suivants: corriger un arbre de gènes afin qu'il contienne un ensemble d'orthologues donné, et valider un ensemble de relations partielles d'orthologie et paralogie. 3) Nous montrons comment la réconciliation peut servir à "combiner'' plusieurs arbres de gènes. Plus précisément, nous étudions le problème de choisir un superarbre de gènes selon son coût de réconciliation.

Understanding the genetic basis of phenotype variability in individuals with neurocognitive disorders

Thesis (Ph.D.)--University of Washington, 2016-06

Congenital adrenal hyperplasia: focus on the molecular basis of 21-hydroxylase deficiency

Congenital adrenal hyperplasia (CAH) is an autosomal recessive disorder caused by defects in one of several steroidogenic enzymes involved in the synthesis of cortisol from cholesterol in the adrenal glands. More than 90% of cases are caused by 21-hydroxylase deficiency, and the severity of the resulting clinical symptoms varies according to the level of 21-hydroxylase activity. 21-Hydroxylase deficiency is usually caused by mutations in the CYP21A2 gene, which is located on the RCCX module, a chromosomal region highly prone to genetic recombination events that can result in a wide variety of complex rearrangements, such as gene duplications, gross deletions and gene conversions of variable extensions. Molecular genotyping of CYP21A2 and the RCCX module has proved useful for a more accurate diagnosis of the disease, and prenatal diagnosis. This article summarises the clinical features of 21-hydroxylase deficiency, explains current understanding of the disease at the molecular level, and highlights recent developments, particularly in diagnosis.

Algorithmes de construction et correction d'arbres de gènes par la réconciliation

Les gènes, qui servent à encoder les fonctions biologiques des êtres vivants, forment l'unité moléculaire de base de l'hérédité. Afin d'expliquer la diversité des espèces que l'on peut observer aujourd'hui, il est essentiel de comprendre comment les gènes évoluent. Pour ce faire, on doit recréer le passé en inférant leur phylogénie, c'est-à-dire un arbre de gènes qui représente les liens de parenté des régions codantes des vivants. Les méthodes classiques d'inférence phylogénétique ont été élaborées principalement pour construire des arbres d'espèces et ne se basent que sur les séquences d'ADN. Les gènes sont toutefois riches en information, et on commence à peine à voir apparaître des méthodes de reconstruction qui utilisent leurs propriétés spécifiques. Notamment, l'histoire d'une famille de gènes en terme de duplications et de pertes, obtenue par la réconciliation d'un arbre de gènes avec un arbre d'espèces, peut nous permettre de détecter des faiblesses au sein d'un arbre et de l'améliorer. Dans cette thèse, la réconciliation est appliquée à la construction et la correction d'arbres de gènes sous trois angles différents: 1) Nous abordons la problématique de résoudre un arbre de gènes non-binaire. En particulier, nous présentons un algorithme en temps linéaire qui résout une polytomie en se basant sur la réconciliation. 2) Nous proposons une nouvelle approche de correction d'arbres de gènes par les relations d'orthologie et paralogie. Des algorithmes en temps polynomial sont présentés pour les problèmes suivants: corriger un arbre de gènes afin qu'il contienne un ensemble d'orthologues donné, et valider un ensemble de relations partielles d'orthologie et paralogie. 3) Nous montrons comment la réconciliation peut servir à "combiner'' plusieurs arbres de gènes. Plus précisément, nous étudions le problème de choisir un superarbre de gènes selon son coût de réconciliation.

Large national series of patients with Xq28 duplication involving MECP2: Delineation of brain MRI abnormalities in 30 affected patients.

Xq28 duplications encompassing MECP2 have been described in male patients with a severe neurodevelopmental disorder associated with hypotonia and spasticity, severe learning disability, stereotyped movements, and recurrent pulmonary infections. We report on standardized brain magnetic resonance imaging (MRI) data of 30 affected patients carrying an Xq28 duplication involving MECP2 of various sizes (228 kb to 11.7 Mb). The aim of this study was to seek recurrent malformations and attempt to determine whether variations in imaging features could be explained by differences in the size of the duplications. We showed that 93% of patients had brain MRI abnormalities such as corpus callosum abnormalities (n = 20), reduced volume of the white matter (WM) (n = 12), ventricular dilatation (n = 9), abnormal increased hyperintensities on T2-weighted images involving posterior periventricular WM (n = 6), and vermis hypoplasia (n = 5). The occipitofrontal circumference varied considerably between >+2SD in five patients and <-2SD in four patients. Among the nine patients with dilatation of the lateral ventricles, six had a duplication involving L1CAM. The only patient harboring bilateral posterior subependymal nodular heterotopia also carried an FLNA gene duplication. We could not demonstrate a correlation between periventricular WM hyperintensities/delayed myelination and duplication of the IKBKG gene. We thus conclude that patients with an Xq28 duplication involving MECP2 share some similar but non-specific brain abnormalities. These imaging features, therefore, could not constitute a diagnostic clue. The genotype-phenotype correlation failed to demonstrate a relationship between the presence of nodular heterotopia, ventricular dilatation, WM abnormalities, and the presence of FLNA, L1CAM, or IKBKG, respectively, in the duplicated segment.

Registro de pacientes con distrofinopatías en Colombia

INTRODUCCIÓN. La distrofia muscular de Duchenne es una enfermedad neuromuscular con una herencia recesiva ligada al X que afecta a 1 de cada 3500 niños nacidos vivos. Se produce por mutaciones en el gen DMD que codifica para la distrofina. Se caracteriza por manifestaciones clínicas variables típicas de una distrofia muscular proximal progresiva. OBJETIVO. Realizar el primer registro en Colombia de los pacientes identificados con distrofinopatías, teniendo en cuenta características clínicas y paraclínicas, así como las mutaciones causales de esta patología. METODOLOGÍA Es un estudio descriptivo, transversal, de la revisión de historias clínicas de los pacientes con diagnóstico de DMD atendidos en la consulta de Genética de la Universidad del Rosario durante los años 2006 a 2015. RESULTADOS Se identificaron 99 pacientes, de los cuales 56 (56,56%) corresponden al fenotipo Duchenne y 12 (12,12%) al Becker. No fue posible clasificar a 31 pacientes (31,3%) por falta de datos clínicos. La edad de inicio de los síntomas fue en promedio de 4,41 años. Las mutaciones más frecuentes fueron las deleciones (69%), seguidas por las mutaciones puntuales(14%), las duplicaciones (11%) y por otras mutaciones (4%). CONCLUSIONES Este registro de distrofinopatías es el primero reportado en Colombia y el punto de partida para conocer la incidencia de la enfermedad, caracterización clínica y molecular de los pacientes, garantizando así el acceso oportuno a los nuevos tratamientos de medicina de precisión que permitan mejorar la calidad de vida de los pacientes y sus familias.

Morbilidade evitável relacionada com medicamentos: Desenvolvimento de novos indicadores e validação preliminar para cuidados primários em Portugal

Sumário: A morbilidade evitável relacionada com medicamentos (MERM) é um problema de saúde pública com considerável impacto negativo para os doentes e os sistemas de saúde. Os indicadores de MERM constituem medidas operacionais de gestão do risco terapêutico, uma vez que permitem identificar processos de cuidados de saúde que predizem um resultado clínico negativo potencialmente evitável. O uso destes indicadores pode contribuir para reduzir a morbilidade evitável relacionada com medicamentos, evitando danos desnecessários e desperdício de recursos. Objectivo: Desenvolver novos indicadores de MERM para cuidados primários em Portugal a partir da análise de resumos das características de medicamentos (RCM's) e determinar a validade preliminar de face e de conteúdo dos indicadores derivados para este setting. Métodos: A primeira fase deste estudo consistiu num ensaio piloto, com o intuito de testar uma metodologia de inclusão dos RCM's com base na frequência de dispensa da especialidade farmacêutica no ambulatório. Seguidamente procedeu-se ao desenvolvimento de mais indicadores de MERM utilizando a metodologia testada no ensaio piloto. Os indicadores obtidos foram alvo de uma primeira análise com base em aspectos como duplicações e relevância para cuidados primários, de modo a seleccionar os que poderiam passar à fase de validade preliminar de face e de conteúdo. Procedeu­ se então à pesquisa de evidência clínica em fontes de referência para estes indicadores. Na última fase do estudo estes indicadores, bem como a respectiva evidência clínica, foram analisados por um painel de peritos constituído por quatro académicos (dois médicos de família e dois farmacêuticos), sendo aprovados ou eliminados com base num critério de consenso. Resultados: Obteve-se um total de 64 indicadores de MERM, a partir da análise de 35 RCM's. Sujeitaram-se à determinação da validade preliminar de face e de conteúdo 44 indicadores. Foram aprovados por consenso 28 indicadores, tendo sido excluídos 17 (4 por consenso e 13 sem obtenção de consenso). Conclusão: É exequível derivar novos indicadores de MERM para cuidados primários a partir da análise de RCM's. A validade formal de face e de conteúdo destes indicadores obtidos será objecto de estudo de ulterior investigação. /ABSTRACT: Backgroud: Preventable drug-relate morbidity (PDRM) is a public health problem with significant negative impact at a patient and system level. PDRM indicators are operational measures of therapeutic risk management; they identifying processes of care leading to preventable adverse outcomes. The use of these indicators may contribute to tackle preventable drug related morbidity, avoiding unnecessary harm and waste of resources. Objective: To develop new PDRM indicators to Portuguese primary care based on the analysis of summaries of product characteristics (SPC’s) and to determine their preliminary face and content validity to this setting. Methods: Firstly a pilot study was conducted to test a methodology for including SPC's based on the most frequently sold medicines in the ambulatory. Then more indicators were developed using the previously tested methodology. The indicators obtained were analyzed in respect to aspects such as duplications and relevance for primary care to select those that could proceed to the next stage. Clinical evidence was searched for each of these indicators in gold-standard information sources. Finally, this set of indicators and the respective clinical evidence were analysised by a panel of four experts (two academic general practitioners and two academic pharmacists). Preliminary face and content validity was established by means of consensus. Results: A total of 64 indicators was obtained, based on the analysis of 35 SPCs. Forty­ four indicators were subjected to a preliminary assessment of face and content validity, resulting in 28 consensus-approved indicators. Seventeen indicators were excluded (4 rejected by consensus and 13 that did not reach consensus). Conclusion: lt is feasible to derive new PDRM indicators for primary care based on SPC's. The formal face and content validity of the indicators will be determined in a further study.

A machine learning based method to detect genomic imbalances exploiting X chromosome exome reads

Whole Exome Sequencing (WES) is rapidly becoming the first-tier test in clinics, both thanks to its declining costs and the development of new platforms that help clinicians in the analysis and interpretation of SNV and InDels. However, we still know very little on how CNV detection could increase WES diagnostic yield. A plethora of exome CNV callers have been published over the years, all showing good performances towards specific CNV classes and sizes, suggesting that the combination of multiple tools is needed to obtain an overall good detection performance. Here we present TrainX, a ML-based method for calling heterozygous CNVs in WES data using EXCAVATOR2 Normalized Read Counts. We select males and females’ non pseudo-autosomal chromosome X alignments to construct our dataset and train our model, make predictions on autosomes target regions and use HMM to call CNVs. We compared TrainX against a set of CNV tools differing for the detection method (GATK4 gCNV, ExomeDepth, DECoN, CNVkit and EXCAVATOR2) and found that our algorithm outperformed them in terms of stability, as we identified both deletions and duplications with good scores (0.87 and 0.82 F1-scores respectively) and for sizes reaching the minimum resolution of 2 target regions. We also evaluated the method robustness using a set of WES and SNP array data (n=251), part of the Italian cohort of Epi25 collaborative, and were able to retrieve all clinical CNVs previously identified by the SNP array. TrainX showed good accuracy in detecting heterozygous CNVs of different sizes, making it a promising tool to use in a diagnostic setting.

Modeling of clear cell sarcoma of the kidney of the pediatric age

Clear cell sarcoma of the kidney (CCSK) is the second most common pediatric renal tumor, characterized in 90% of cases by the presence of internal tandem duplications (ITDs) localized at the last exon of BCOR gene. BCOR protein constitute a core component of the non-canonical Polycomb Repressive Complex1 (PRC1.1), which performs a fundamental silencing activity. ITDs in the last BCOR exon at the level of PUFD domain have been identified in many tumor subtypes and could affect PCGF1 binding and the subsequent PRC1.1 activity, although the exact oncogenic mechanism of ITD remains poorly understood. This project has the objective of investigating the molecular mechanisms underlying the oncogenesis of CCSK, approaching the study with different methodologies. A first model in HEK-293 allowed to obtain important informations about BCOR functionality, suggesting that the presence of ITD generates an altered activity which is very different from a loss-of-function. It has also been observed that BCOR function within the PRC1.1 complex varies with different ITDs. Moreover, it allowed the identification of molecular signatures evoked by the presence of BCOR-ITD, including its role in extracellular matrix interactions and invasiveness promotion. The parallel analysis of WTS data from 8 CCSK cases permitted the identification of a peculiar signature for metastatic CCSKs, highlighting a 20-fold overexpression of FGF3. This factor promoted a significant increase in invasive ability in the cellular model. In order to study BCOR-ITD effects over cell stemness and differentiation, an inducible model is being obtained in H1 cells. This way, it will be possible to study the functionality of BCOR-ITD in a context more similar to the origin of CCSKs, evaluating both the specific interactome and phenotypic consequences caused by the mutation.