928 resultados para genomics


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Cerebrospinal fluid amyloid-beta 1-42 (Aβ1-42) and phosphorylated Tau at position 181 (pTau181) are biomarkers of Alzheimer's disease (AD). We performed an analysis and meta-analysis of genome-wide association study data on Aβ1-42 and pTau181 in AD dementia patients followed by independent replication. An association was found between Aβ1-42 level and a single-nucleotide polymorphism in SUCLG2 (rs62256378) (P = 2.5×10(-12)). An interaction between APOE genotype and rs62256378 was detected (P = 9.5 × 10(-5)), with the strongest effect being observed in APOE-ε4 noncarriers. Clinically, rs62256378 was associated with rate of cognitive decline in AD dementia patients (P = 3.1 × 10(-3)). Functional microglia experiments showed that SUCLG2 was involved in clearance of Aβ1-42.

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Gravity and light are major factors shaping plant growth. Light perceived by phytochromes leads to seedling deetiolation, which includes the deviation from vertical hypocotyl growth and promotes hypocotyl phototropism. These light responses enhance survival of young seedlings during their emergence from the soil. The PHYTOCHROME KINASE SUBSTRATE (PKS) family is composed of four members in Arabidopsis (Arabidopsis thaliana): PKS1 to PKS4. Here we show that PKS4 is a negative regulator of both phytochrome A- and B-mediated inhibition of hypocotyl growth and promotion of cotyledon unfolding. Most prominently, pks4 mutants show abnormal phytochrome-modulated hypocotyl growth orientation. In dark-grown seedlings hypocotyls change from the original orientation defined by seed position to the upright orientation defined by gravity and light reduces the magnitude of this shift. In older seedlings with the hypocotyls already oriented by gravity, light promotes the deviation from vertical orientation. Based on the characterization of pks4 mutants we propose that PKS4 inhibits changes in growth orientation under red or far-red light. Our data suggest that in these light conditions PKS4 acts as an inhibitor of asymmetric growth. This hypothesis is supported by the phenotype of PKS4 overexpressers. Together with previous findings, these results indicate that the PKS family plays important functions during light-regulated tropic growth responses

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Since its introduction 16 years ago, the astrocyte-neuron lactate shuttle (ANLS) model has profoundly modified our understanding of neuroenergetics by bringing a cellular and molecular resolution. Praised or disputed, the concept has never ceased to attract attention, leading to critical advances and unexpected insights. Here, we summarize recent experimental evidence further supporting the main tenets of the model. Thus, evidence for distinct metabolic phenotypes between neurons (mainly oxidative) and astrocytes (mainly glycolytic) have been provided by genomics and classical metabolic approaches. Moreover, it has become clear that astrocytes act as a syncytium to distribute energy substrates such as lactate to active neurones. Glycogen, the main energy reserve located in astrocytes, is used as a lactate source to sustain glutamatergic neurotransmission and synaptic plasticity. Lactate is also emerging as a neuroprotective agent as well as a key signal to regulate blood flow. Characterization of monocarboxylate transporter regulation indicates a possible involvement in synaptic plasticity and memory. Finally, several modeling studies captured the implications of such findings for many brain functions. The ANLS model now represents a useful, experimentally based framework to better understand the coupling between neuronal activity and energetics as it relates to neuronal plasticity, neurodegeneration, and functional brain imaging.

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Understanding the extent of genomic transcription and its functional relevance is a central goal in genomics research. However, detailed genome-wide investigations of transcriptome complexity in major mammalian organs have been scarce. Here, using extensive RNA-seq data, we show that transcription of the genome is substantially more widespread in the testis than in other organs across representative mammals. Furthermore, we reveal that meiotic spermatocytes and especially postmeiotic round spermatids have remarkably diverse transcriptomes, which explains the high transcriptome complexity of the testis as a whole. The widespread transcriptional activity in spermatocytes and spermatids encompasses protein-coding and long noncoding RNA genes but also poorly conserves intergenic sequences, suggesting that it may not be of immediate functional relevance. Rather, our analyses of genome-wide epigenetic data suggest that this prevalent transcription, which most likely promoted the birth of new genes during evolution, is facilitated by an overall permissive chromatin in these germ cells that results from extensive chromatin remodeling.

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Next-generation sequencing (NGS) technologies have become the standard for data generation in studies of population genomics, as the 1000 Genomes Project (1000G). However, these techniques are known to be problematic when applied to highly polymorphic genomic regions, such as the human leukocyte antigen (HLA) genes. Because accurate genotype calls and allele frequency estimations are crucial to population genomics analyses, it is important to assess the reliability of NGS data. Here, we evaluate the reliability of genotype calls and allele frequency estimates of the single-nucleotide polymorphisms (SNPs) reported by 1000G (phase I) at five HLA genes (HLA-A, -B, -C, -DRB1, and -DQB1). We take advantage of the availability of HLA Sanger sequencing of 930 of the 1092 1000G samples and use this as a gold standard to benchmark the 1000G data. We document that 18.6% of SNP genotype calls in HLA genes are incorrect and that allele frequencies are estimated with an error greater than ±0.1 at approximately 25% of the SNPs in HLA genes. We found a bias toward overestimation of reference allele frequency for the 1000G data, indicating mapping bias is an important cause of error in frequency estimation in this dataset. We provide a list of sites that have poor allele frequency estimates and discuss the outcomes of including those sites in different kinds of analyses. Because the HLA region is the most polymorphic in the human genome, our results provide insights into the challenges of using of NGS data at other genomic regions of high diversity.

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OBJECTIVE: To develop predictive models for early triage of burn patients based on hypersusceptibility to repeated infections. BACKGROUND: Infection remains a major cause of mortality and morbidity after severe trauma, demanding new strategies to combat infections. Models for infection prediction are lacking. METHODS: Secondary analysis of 459 burn patients (≥16 years old) with 20% or more total body surface area burns recruited from 6 US burn centers. We compared blood transcriptomes with a 180-hour cutoff on the injury-to-transcriptome interval of 47 patients (≤1 infection episode) to those of 66 hypersusceptible patients [multiple (≥2) infection episodes (MIE)]. We used LASSO regression to select biomarkers and multivariate logistic regression to built models, accuracy of which were assessed by area under receiver operating characteristic curve (AUROC) and cross-validation. RESULTS: Three predictive models were developed using covariates of (1) clinical characteristics; (2) expression profiles of 14 genomic probes; (3) combining (1) and (2). The genomic and clinical models were highly predictive of MIE status [AUROCGenomic = 0.946 (95% CI: 0.906-0.986); AUROCClinical = 0.864 (CI: 0.794-0.933); AUROCGenomic/AUROCClinical P = 0.044]. Combined model has an increased AUROCCombined of 0.967 (CI: 0.940-0.993) compared with the individual models (AUROCCombined/AUROCClinical P = 0.0069). Hypersusceptible patients show early alterations in immune-related signaling pathways, epigenetic modulation, and chromatin remodeling. CONCLUSIONS: Early triage of burn patients more susceptible to infections can be made using clinical characteristics and/or genomic signatures. Genomic signature suggests new insights into the pathophysiology of hypersusceptibility to infection may lead to novel potential therapeutic or prophylactic targets.

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Owing to recent advances in genomic technologies, personalized oncology is poised to fundamentally alter cancer therapy. In this paradigm, the mutational and transcriptional profiles of tumors are assessed, and personalized treatments are designed based on the specific molecular abnormalities relevant to each patient's cancer. To date, such approaches have yielded impressive clinical responses in some patients. However, a major limitation of this strategy has also been revealed: the vast majority of tumor mutations are not targetable by current pharmacological approaches. Immunotherapy offers a promising alternative to exploit tumor mutations as targets for clinical intervention. Mutated proteins can give rise to novel antigens (called neoantigens) that are recognized with high specificity by patient T cells. Indeed, neoantigen-specific T cells have been shown to underlie clinical responses to many standard treatments and immunotherapeutic interventions. Moreover, studies in mouse models targeting neoantigens, and early results from clinical trials, have established proof of concept for personalized immunotherapies targeting next-generation sequencing identified neoantigens. Here, we review basic immunological principles related to T-cell recognition of neoantigens, and we examine recent studies that use genomic data to design personalized immunotherapies. We discuss the opportunities and challenges that lie ahead on the road to improving patient outcomes by incorporating immunotherapy into the paradigm of personalized oncology.

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Sequence repeats are an important phenomenon in the human genome, playing important roles in genomic alteration often with phenotypic consequences. The two major types of repeat elements in the human genome are tandem repeats (TRs) including microsatellites, minisatellites, and satellites and transposable elements (TEs). So far, very little has been known about the relationship between these two types of repeats. In this study, we identified TRs that are derived from TEs either based on sequence similarity or overlapping genomic positions. We then analyzed the distribution of these TRs among TE families/subfamilies. Our study shows that at least 7,276 TRs or 23% of all minisatellites/satellites is derived from TEs, contributing ∼0.32% of the human genome. TRs seem to be generated more likely from younger/more active TEs, and once initiated they are expanded with time via local duplication of the repeat units. The currently postulated mechanisms for origin of TRs can explain only 6% of all TE-derived TRs, indicating the presence of one or more yet to be identified mechanisms for the initiation of such repeats. Our result suggests that TEs are contributing to genome expansion and alteration not only by transposition but also by generating tandem repeats.

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Genome sequence varies in numerous ways among individuals although the gross architecture is fixed for all humans. Retrotransposons create one of the most abundant structural variants in the human genome and are divided in many families, with certain members in some families, e.g., L1, Alu, SVA, and HERV-K, remaining active for transposition. Along with other types of genomic variants, retrotransponson-derived variants contribute to the whole spectrum of genome variants in humans. With the advancement of sequencing techniques, many human genomes are being sequenced at the individual level, fueling the comparative research on these variants among individuals. In this thesis, the evolution and functional impact of structural variations is examined primarily focusing on retrotransposons in the context of human evolution. The thesis comprises of three different studies on the topics that are presented in three data chapters. First, the recent evolution of all human specific AluYb members, representing the second most active subfamily of Alus, was tracked to identify their source/master copy using a novel approach. All human-specific AluYb elements from the reference genome were extracted, aligned with one another to construct clusters of similar copies and each cluster was analyzed to generate the evolutionary relationship between the members of the cluster. The approach resulted in identification of one major driver copy of all human specific Yb8 and the source copy of the Yb9 lineage. Three new subfamilies within the AluYb family – Yb8a1, Yb10 and Yb11 were also identified, with Yb11 being the youngest and most polymorphic. Second, an attempt to construct a relation between transposable elements (TEs) and tandem repeats (TRs) was made at a genome-wide scale for the first time. Upon sequence comparison, positional cross-checking and other relevant analyses, it was observed that over 20% of all TRs are derived from TEs. This result established the first connection between these two types of repetitive elements, and extends our appreciation for the impact of TEs on genomes. Furthermore, only 6% of these TE-derived TRs follow the already postulated initiation and expansion mechanisms, suggesting that the others are likely to follow a yet-unidentified mechanism. Third, by taking a combination of multiple computational approaches involving all types of genetic variations published so far including transposable elements, the first whole genome sequence of the most recent common ancestor of all modern human populations that diverged into different populations around 125,000-100,000 years ago was constructed. The study shows that the current reference genome sequence is 8.89 million base pairs larger than our common ancestor’s genome, contributed by a whole spectrum of genetic mechanisms. The use of this ancestral reference genome to facilitate the analysis of personal genomes was demonstrated using an example genome and more insightful recent evolutionary analyses involving the Neanderthal genome. The three data chapters presented in this thesis conclude that the tandem repeats and transposable elements are not two entirely distinctly isolated elements as over 20% TRs are actually derived from TEs. Certain subfamilies of TEs themselves are still evolving with the generation of newer subfamilies. The evolutionary analyses of all TEs along with other genomic variants helped to construct the genome sequence of the most recent common ancestor to all modern human populations which provides a better alternative to human reference genome and can be a useful resource for the study of personal genomics, population genetics, human and primate evolution.

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Affiliation: Centre Robert-Cedergren de l'Université de Montréal en bio-informatique et génomique & Département de biochimie, Université de Montréal

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L’exercice d’allocation de ressources en santé, relevant du Ministère de la santé, se voit fortement influencé autant par les besoins variés de la population que par les exigences des intervenants en santé. Quel rôle ces différents intérêts peuvent-ils jouer dans l’intégration de nouvelles technologies dans la distribution des soins de santé ? La pharmacogénomique, branche émergente de la pharmacologie intégrant les données issues du projet génome humain au processus de développement du médicament, est perçue comme une technologie qui permettrait de personnaliser la médecine. Son intégration aux processus de développement ou de prescription de médicaments promet de minimiser l’apparition d’effets secondaires néfastes découlant de la prise de médicaments. Serait-il alors judicieux pour le gouvernement du Québec, considérant la conjoncture actuelle d’allocation de ressources, d’investir dans la pharmacogénomique en tant que nouvel outil de développement du médicament ou nouveau mode pronostic de médication pour sa population ? Nous aborderons cette question à l’aide de critères de sélection dictés par Caulfield et ses collaborateurs (2001)[1] pour évaluer la pertinence de l’investissement public dans la mise sur pied d’un test génétique, soit l’acceptabilité, l’utilité, la non-malfaisance et la présence d’un bénéfice clair – à coût raisonnable – pour la population. La génomique avoisinant la génétique, ces facteurs s’avèrent applicables dans notre discussion.

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La phosphorylation du domaine C-terminal de l’ARN polymérase II permet à ce complexe protéique d’exécuter la transcription des gènes, en plus de coupler à la transcription des événements moléculaires comme la maturation des ARNm. Mes résultats montrent que même si cette phosphorylation suit un patron similaire à l’ensemble des gènes, il existe des exceptions pouvant être dues à des mécanismes alternatifs de phosphorylation du CTD. Le présent ouvrage s’intéresse également au rôle qu’occupe la variante d’histone H2A.Z dans l’organisation de la chromatine. Des études précédentes on montré que le positionnement de certains nucléosomes le long de l’ADN serait influencé par H2A.Z et aurait une influence sur la capacité de transcrire les gènes. Par une approche génomique utilisant les puces à ADN, j’ai cartographié l’impact de la délétion de H2A.Z sur la structure des nucléosomes. Enfin, des résultats intéressants sur la dynamique d’incorporation de H2A.Z à la chromatine ont été obtenus.

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Plusieurs souches cliniques de Candida albicans résistantes aux médicaments antifongiques azolés surexpriment des gènes encodant des effecteurs de la résistance appartenant à deux classes fonctionnelles : i) des transporteurs expulsant les azoles, CDR1, CDR2 et MDR1 et ii) la cible des azoles 14-lanostérol déméthylase encodée par ERG11. La surexpression de ces gènes est due à la sélection de mutations activatrices dans des facteurs de transcription à doigts de zinc de la famille zinc cluster (Zn2Cys6) qui contrôlent leur expression : Tac1p (Transcriptional activator of CDR genes 1) contrôlant l’expression de CDR1 et CDR2, Mrr1p (Multidrug resistance regulator 1), régulant celle de MDR1 et Upc2p (Uptake control 2), contrôlant celle d’ERG11. Un autre effecteur de la résistance clinique aux azoles est PDR16, encodant une transférase de phospholipides, dont la surexpression accompagne souvent celle de CDR1 et CDR2, suggérant que les trois gènes appartiennent au même régulon, potentiellement celui de Tac1p. De plus, la régulation transcriptionnelle du gène MDR1 ne dépend pas seulement de Mrr1p, mais aussi du facteur de transcription de la famille basic-leucine zipper Cap1p (Candida activator protein 1), un régulateur majeur de la réponse au stress oxydatif chez C. albicans qui, lorsque muté, induit une surexpression constitutive de MDR1 conférant la résistance aux azoles. Ces observations suggèrent qu’un réseau de régulation transcriptionnelle complexe contrôle le processus de résistance aux antifongiques azolés chez C. albicans. L’objectif de mon projet au doctorat était d’identifier les cibles transcriptionnelles directes des facteurs de transcription Tac1p, Upc2p et Cap1p, en me servant d’approches génétiques et de génomique fonctionnelle, afin de i) caractériser leur réseau transcriptionnel et les modules transcriptionnels qui sont sous leur contrôle direct, et ii) d’inférer leurs fonctions biologiques et ainsi mieux comprendre leur rôle dans la résistance aux azoles. Dans un premier volet, j’ai démontré, par des expériences de génétique, que Tac1p contrôle non seulement la surexpression de CDR1 et CDR2 mais aussi celle de PDR16. Mes résultats ont identifié une nouvelle mutation activatrice de Tac1p (N972D) et ont révélé la participation d’un autre régulateur dans le contrôle transcriptionnel de CDR1 et PDR16 dont l’identité est encore inconnue. Une combinaison d’expériences de transcriptomique et d’immunoprécipitation de la chromatine couplée à l’hybridation sur des biopuces à ADN (ChIP-chip) m’a permis d’identifier plusieurs gènes dont l’expression est contrôlée in vivo et directement par Tac1p (PDR16, CDR1, CDR2, ERG2, autres), Upc2p (ERG11, ERG2, MDR1, CDR1, autres) et Cap1p (MDR1, GCY1, GLR1, autres). Ces expériences ont révélé qu’Upc2p ne contrôle pas seulement l’expression d’ERG11, mais aussi celle de MDR1 et CDR1. Plusieurs nouvelles propriétés fonctionnelles de ces régulateurs ont été caractérisées, notamment la liaison in vivo de Tac1p aux promoteurs de ses cibles de façon constitutive et indépendamment de son état d’activation, et la liaison de Cap1p non seulement à la région du promoteur de ses cibles, mais aussi celle couvrant le cadre de lecture ouvert et le terminateur transcriptionnel putatif, suggérant une interaction physique avec la machinerie de la transcription. La caractérisation du réseau transcriptionnel a révélé une interaction fonctionnnelle entre ces différents facteurs, notamment Cap1p et Mrr1p, et a permis d’inférer des fonctions biologiques potentielles pour Tac1p (trafic et la mobilisation des lipides, réponse au stress oxydatif et osmotique) et confirmer ou proposer d’autres fonctions pour Upc2p (métabolisme des stérols) et Cap1p (réponse au stress oxydatif, métabolisme des sources d’azote, transport des phospholipides). Mes études suggèrent que la résistance aux antifongiques azolés chez C. albicans est intimement liée au métabolisme des lipides membranaires et à la réponse au stress oxydatif.