Phenotypic effect of mutations in evolving populations of RNA molecules

Background. The secondary structure of folded RNA sequences is a good model to map phenotype onto genotype, as represented by the RNA sequence. Computational studies of the evolution of ensembles of RNA molecules towards target secondary structures yield valuable clues to the mechanisms behind adaptation of complex populations. The relationship between the space of sequences and structures, the organization of RNA ensembles at mutation-selection equilibrium, the time of adaptation as a function of the population parameters, the presence of collective effects in quasispecies, or the optimal mutation rates to promote adaptation all are issues that can be explored within this framework. Results. We investigate the effect of microscopic mutations on the phenotype of RNA molecules during their in silico evolution and adaptation. We calculate the distribution of the effects of mutations on fitness, the relative fractions of beneficial and deleterious mutations and the corresponding selection coefficients for populations evolving under different mutation rates. Three different situations are explored: the mutation-selection equilibrium (optimized population) in three different fitness landscapes, the dynamics during adaptation towards a goal structure (adapting population), and the behavior under periodic population bottlenecks (perturbed population). Conclusions. The ratio between the number of beneficial and deleterious mutations experienced by a population of RNA sequences increases with the value of the mutation rate µ at which evolution proceeds. In contrast, the selective value of mutations remains almost constant, independent of µ, indicating that adaptation occurs through an increase in the amount of beneficial mutations, with little variations in the average effect they have on fitness. Statistical analyses of the distribution of fitness effects reveal that small effects, either beneficial or deleterious, are well described by a Pareto distribution. These results are robust under changes in the fitness landscape, remarkably when, in addition to selecting a target secondary structure, specific subsequences or low-energy folds are required. A population perturbed by bottlenecks behaves similarly to an adapting population, struggling to return to the optimized state. Whether it can survive in the long run or whether it goes extinct depends critically on the length of the time interval between bottlenecks. © 2010 Stich et al; licensee BioMed Central Ltd.

Receptor activity-modifying protein-dependent effects of mutations in the calcitonin receptor-like receptor:implications for adrenomedullin and calcitonin gene-related peptide pharmacology

Background and Purpose Receptor activity-modifying proteins (RAMPs) define the pharmacology of the calcitonin receptor-like receptor (CLR). The interactions of the different RAMPs with this class B GPCR yield high-affinity calcitonin gene-related peptide (CGRP) or adrenomedullin (AM) receptors. However, the mechanism for this is unclear. Experimental Approach Guided by receptor models, we mutated residues in the N-terminal helix of CLR, RAMP2 and RAMP3 hypothesized to be involved in peptide interactions. These were assayed for cAMP production with AM, AM2 and CGRP together with their cell surface expression. Binding studies were also conducted for selected mutants. Key Results An important domain for peptide interactions on CLR from I32 to I52 was defined. Although I41 was universally important for binding and receptor function, the role of other residues depended on both ligand and RAMP. Peptide binding to CLR/RAMP3 involved a more restricted range of residues than that to CLR/RAMP1 or CLR/RAMP2. E101 of RAMP2 had a major role in AM interactions, and F111/W84 of RAMP2/3 was important with each peptide. Conclusions and Implications RAMP-dependent effects of CLR mutations suggest that the different RAMPs control accessibility of peptides to binding residues situated on the CLR N-terminus. RAMP3 appears to alter the role of specific residues at the CLR-RAMP interface compared with RAMP1 and RAMP2. © 2013 The Authors. British Journal of Pharmacology published by John Wiley &. Sons Ltd on behalf of The British Pharmacological Society.

β-catenin mutations in craniopharyngiomas and pituitary adenomas

Craniopharyngiomas and pituitary adenomas are both tumors of the hypothalamic and pituitary region, respectively that are frequently associated with endocrine defects either because of direct involvement of hormone producing cells (most pituitary tumors) or because of secondary defects due to disturbance of hypothalamic function (some pituitary tumors and craniopharyngiomas). Some studies suggest that mutant β-catenin gene cells in craniopharyngiomas and pituitary adenomas contribute to their tumorigenesis. DNA was extracted from 73 cranial tumors and subjected to polymerase chain reaction (PCR) with previously described primers encompassing glycogen synthase kinase-3β phosphorylation sites of the β-catenin gene. Sequenced PCR products for possible β-catenin gene mutations showed a total of 7/43 alterations in adamantinomatous craniopharyngioma-derived DNA samples. Two previously described β-catenin mutations in codon 33 TCT(Ser) > TGT(Cys) and codon 37 TCT(Ser) > TTT(Phe), whereas three novel mutations in codon 41 ACC(Thr) > ATC(Ile), codon 33 TCT(Ser) > TAT(Tyr) and codon 32 GAC(Asp) > AAC(Asn) were observed. None of the 22 pituitary adenomas and the eight papillary craniopharyngiomas analyzed presented any sequence alterations. These findings demonstrate an association between β-catenin gene alterations and craniopharyngiomas of the adamantinomatous type. Since this gene product is involved with development, these results suggest that β-catenin mutations may contribute to the initiation and subsequent growth of congenital craniopharyngiomas. © Springer 2005.

Towards the prediction of mutations in genomic sequences

Bio-systems are inherently complex information processing systems. Furthermore, physiological complexities of biological systems limit the formation of a hypothesis in terms of behavior and the ability to test hypothesis. More importantly the identification and classification of mutation in patients are centric topics in today's cancer research. Next generation sequencing (NGS) technologies can provide genome-wide coverage at a single nucleotide resolution and at reasonable speed and cost. The unprecedented molecular characterization provided by NGS offers the potential for an individualized approach to treatment. These advances in cancer genomics have enabled scientists to interrogate cancer-specific genomic variants and compare them with the normal variants in the same patient. Analysis of this data provides a catalog of somatic variants, present in tumor genome but not in the normal tissue DNA. In this dissertation, we present a new computational framework to the problem of predicting the number of mutations on a chromosome for a certain patient, which is a fundamental problem in clinical and research fields. We begin this dissertation with the development of a framework system that is capable of utilizing published data from a longitudinal study of patients with acute myeloid leukemia (AML), who's DNA from both normal as well as malignant tissues was subjected to NGS analysis at various points in time. By processing the sequencing data at the time of cancer diagnosis using the components of our framework, we tested it by predicting the genomic regions to be mutated at the time of relapse and, later, by comparing our results with the actual regions that showed mutations (discovered at relapse time). We demonstrate that this coupling of the algorithm pipeline can drastically improve the predictive abilities of searching a reliable molecular signature. Arguably, the most important result of our research is its superior performance to other methods like Radial Basis Function Network, Sequential Minimal Optimization, and Gaussian Process. In the final part of this dissertation, we present a detailed significance, stability and statistical analysis of our model. A performance comparison of the results are presented. This work clearly lays a good foundation for future research for other types of cancer.^

Studio della correlazione fra la percentuale di cellule neoplastiche mutate in EGFR e la risposta a farmaci TKI nell'adenocarcinoma polmonare

Il gene EGFR e' un marcatore molecolare fondamentale per determinare la sensibilita' o meno ai farmaci inibitori delle tirosin-chinasi (TKI) in pazienti affetti da adenocarcinoma polmonare. Lo scopo del lavoro e' di determinare se la percentuale di cellule neoplastiche mutate in EGFR correli con la risposta ai farmaci TKI. Sono stati analizzati 18 casi; di ogni caso e' stato analizzato il gene EGFR (esoni 18, 19, 20 e 21) mediante Next Generation Sequencing (NGS). La quantita' di cellule neoplastiche presenti nell'area analizzata e' stata valutata da un patologo, su un vetrino colorato con Ematossilina-Eosina, e tale quantita' e' stata normalizzata alla percentuale di alleli mutati rilevata mediante NGS. E' stata rilevata una correlazione fra la percentuale di cellule neoplastiche mutate in EGFR e la risposta ai TKI, ed e' stato osservato che pazienti con una percentuale di cellule neoplastiche mutate al di sopra del 56% presentano una migliore "overall survival" rispetto ai pazienti con una percentuale inferiore. I dati suggeriscono che, oltre al valore predittivo, la definizione della percentuale di cellule neoplastiche mutate in EGFR potrebbe avere un valore prognostico.

Les mutations socio-économiques de la Corse de 1957 à nos jours

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

Effets de mutations dans le gène ldhA et dans la protéine FhlA ainsi que de la limitation en glucose ou en soufre sur la production d'hydrogène chez Escherichia coli

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

Analyse fonctionnelle de nouvelles mutations de l'aquaporine-2 responsable du diabète insipide néphrogénique

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

Identification des mutations responsables de la NHSA2 et de l'AOA2 dans la population canadienne-française : deux nouveaux exemples de maladies à effet fondateur au Québec

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

Ataxie cérébelleuse avec mutations dans le gène senataxin : un nouvel effet fondateur canadien-français

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

Functional Evaluation of Causal Mutations Identified in Human Genetic Studies

Human genetics has been experiencing a wave of genetic discoveries thanks to the development of several technologies, such as genome-wide association studies (GWAS), whole-exome sequencing, and whole genome sequencing. Despite the massive genetic discoveries of new variants associated with human diseases, several key challenges emerge following the genetic discovery. GWAS is known to be good at identifying the locus associated with the patient phenotype. However, the actually causal variants responsible for the phenotype are often elusive. Another challenge in human genetics is that even the causal mutations are already known, the underlying biological effect might remain largely ambiguous. Functional evaluation plays a key role to solve these key challenges in human genetics both to identify causal variants responsible for the phenotype, and to further develop the biological insights from the disease-causing mutations.

We adopted various methods to characterize the effects of variants identified in human genetic studies, including patient genetic and phenotypic data, RNA chemistry, molecular biology, virology, and multi-electrode array and primary neuronal culture systems. Chapter 1 is a broader introduction for the motivation and challenges for functional evaluation in human genetic studies, and the background of several genetics discoveries, such as hepatitis C treatment response, in which we performed functional characterization.

Chapter 2 focuses on the characterization of causal variants following the GWAS study for hepatitis C treatment response. We characterized a non-coding SNP (rs4803217) of IL28B (IFNL3) in high linkage disequilibrium (LD) with the discovery SNP identified in the GWAS. In this chapter, we used inter-disciplinary approaches to characterize rs4803217 on RNA structure, disease association, and protein translation.

Chapter 3 describes another avenue of functional characterization following GWAS focusing on the novel transcripts and proteins identified near the IL28B (IFNL3) locus. It has been recently speculated that this novel protein, which was named IFNL4, may affect the HCV treatment response and clearance. In this chapter, we used molecular biology, virology, and patient genetic and phenotypic data to further characterize and understand the biology of IFNL4. The efforts in chapter 2 and 3 provided new insights to the candidate causal variant(s) responsible for the GWAS for HCV treatment response, however, more evidence is still required to make claims for the exact causal roles of these variants for the GWAS association.

Chapter 4 aims to characterize a mutation already known to cause a disease (seizure) in a mouse model. We demonstrate the potential use of multi-electrode array (MEA) system for the functional characterization and drug testing on mutations found in neurological diseases, such as seizure. Functional characterization in neurological diseases is relatively challenging and available systematic tools are relatively limited. This chapter shows an exploratory research and example to establish a system for the broader use for functional characterization and translational opportunities for mutations found in neurological diseases.

Overall, this dissertation spans a range of challenges of functional evaluations in human genetics. It is expected that the functional characterization to understand human mutations will become more central in human genetics, because there are still many biological questions remaining to be answered after the explosion of human genetic discoveries. The recent advance in several technologies, including genome editing and pluripotent stem cells, is also expected to make new tools available for functional studies in human diseases.

Is Rapid Adaptation to New Environments Fueled by Old Mutations? A Case Study of Copper Tolerance on Mimulus guttatus

Rapid adaptation and tolerance is a phenomenon experienced by a variety of organisms typically because of new and harsh environments. Mimulus guttatus, a plant commonly seen on the west coast of the United States, is a prime example as it has rapidly evolved to soil contamination by copper due to mining in California in the last 150 years. There have been two hypotheses posed by researchers as to the genetic basis of how organisms have evolved so quickly which I set out to study: 1) There is a low frequency of tolerant genotypes in the ancestral population otherwise known as standing variation or 2) new mutations occurred once exposed to a new environment. In the past, researchers found it difficult to distinguish between the two because they lacked the technology we have today for DNA analysis. I used four different populations of M. guttatus from varying locations in order to address which hypothesis was valid. I conducted both survival assays of these populations and DNA analysis of known tolerant and non-tolerant lines using a copper oxidase gene. I found that there was at least some degree of tolerance in all populations in the survival assays, supporting the hypothesis of standing variation. I also found patterns within DNA analysis suggesting the copper oxidase gene would be useful for further study to verify the standing variation hypothesis. The results from this experiment helps in understanding rapid evolution not just in the context of soil contamination by metals but also ties back to why an alarming number of species are not able to adapt to our constantly changing world.

Les mutations socio-économiques de la Corse de 1957 à nos jours

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.

Effets de mutations dans le gène ldhA et dans la protéine FhlA ainsi que de la limitation en glucose ou en soufre sur la production d'hydrogène chez Escherichia coli

Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal.