Analysis of the genome content of Lactococcus garvieae by genomic interspecies microarray hybridization

BACKGROUND Lactococcus garvieae is a bacterial pathogen that affects different animal species in addition to humans. Despite the widespread distribution and emerging clinical significance of L. garvieae in both veterinary and human medicine, there is almost a complete lack of knowledge about the genetic content of this microorganism. In the present study, the genomic content of L. garvieae CECT 4531 was analysed using bioinformatics tools and microarray-based comparative genomic hybridization (CGH) experiments. Lactococcus lactis subsp. lactis IL1403 and Streptococcus pneumoniae TIGR4 were used as reference microorganisms. RESULTS The combination and integration of in silico analyses and in vitro CGH experiments, performed in comparison with the reference microorganisms, allowed establishment of an inter-species hybridization framework with a detection threshold based on a sequence similarity of >or= 70%. With this threshold value, 267 genes were identified as having an analogue in L. garvieae, most of which (n = 258) have been documented for the first time in this pathogen. Most of the genes are related to ribosomal, sugar metabolism or energy conversion systems. Some of the identified genes, such as als and mycA, could be involved in the pathogenesis of L. garvieae infections. CONCLUSIONS In this study, we identified 267 genes that were potentially present in L. garvieae CECT 4531. Some of the identified genes could be involved in the pathogenesis of L. garvieae infections. These results provide the first insight into the genome content of L. garvieae.

Characterization of Chimney Flue Gas Flows : Flow Rate Measurements with Averaging Pitot Probes

Performance testing methods of boilers in transient operating conditions (start, stop and combustion power modulation sequences) need the combustion rate quantified to allow for the emissions to be quantified. One way of quantifying the combustion rate of a boiler during transient operating conditions is by measuring the flue gas flow rate. The flow conditions in chimneys of single family house boilers pose a challenge however, mainly because of the low flow velocity. The main objectives of the work were to characterize the flow conditions in residential chimneys, to evaluate the use of the Pitot-static method and the averaging Pitot method, and to develop and test a calibration method for averaging Pitot probes for low

Molecular probes for monitoring mitochondrial movement and function

This thesis explores two distinct parts of mitochondrial physiology: the role of mitochondria in generation of reactive oxygen species (ROS) and mitochondrial morphology and dynamics within cells. The first area of research is covered in Chapters 1-8. Mitochondrial biofunctionality and ROS production are discussed in Chapter 1, followed by the strategy of targeting bioactive compounds to mitochondria by linking them to lipophilic triphenylphosphonium cations (TPP) (Chapter 2). ROS sensors relevant to the research are reviewed in Chapter 3. Chapter 4 presents design and synthesis of novel probes for superoxide detection in mitochondria (MitoNeo-D), cytosol (Neo-D) and extracellular environment (ExCellNeo-D). The results of biological validation of MitoNeo-D and Neo-D performed in the MRC MBU in Cambridge are presented in Chapter 5. A dicationic hydrogen peroxide sensor that utilizes in situ click chemistry is discussed in Chapter 6. Preliminary work on the synthesis of mitochondria-targeted superoxide generators, which led to the development of mitochondria-targeted analogue of paraquat, MitoPQ, is presented in Chapter 7. A set of bifunctional probes (BCN-Mal, BCN-E-BCN and Mito-iTag) for assessing the redox states of protein thiols is discussed in Chapter 8 along with their biological validation. The second part of the thesis is aimed at the study of mitochondrial morphology and dynamics and is presented in Chapters 9-11. Chapter 9 provides background on the classes of fluorophores relevant to the research, the phenomenon of fluorescence quenching and the principle of photoactivation with examples of photoactivatable fluorophores. Next, the background on mitochondrial morphology and heterogeneity is presented in Chapter 10, followed by the ways of imaging and tracking mitochondria within cells by conventional fluorophores and by photoactivatable fluorophores exploiting super-resolution microscopy. Chapter 11 presents the design and synthesis of four photoactivatable fluorophores for mitochondrial tracking, MitoPhotoRhod110, MitoPhotoNIR, Photo-E+, MitoPhoto-E+, along with results of biological validation of MitoPhotoNIR. The results and discussion concludes with Chapter 12, which is a summary and suggestions for future work, followed by the chemistry experimental procedures (Chapter 13), materials and methods for biological experiments (Chapter 14) and references.

Diphenylhexatriene membrane probes DPH and TMA-DPH: A comparative molecular dynamics simulation study

Fluorescence spectroscopy andmicroscopy have been utilized as tools in membrane biophysics for decades now. Because phospholipids are non-fluorescent, the use of extrinsic membrane probes in this context is commonplace. Among the latter, 1,6-diphenylhexatriene (DPH) and its trimethylammonium derivative (TMA-DPH) have been extensively used. It is widely believed that, owing to its additional charged group, TMA-DPH is anchored at the lipid/water interface and reports on a bilayer region that is distinct from that of the hydrophobic DPH. In this study, we employ atomistic MD simulations to characterize the behavior of DPH and TMA-DPH in 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) and POPC/cholesterol (4:1) bilayers. We show that although the dynamics of TMA-DPH in thesemembranes is noticeably more hindered than that of DPH, the location of the average fluorophore of TMA-DPH is only ~3–4 Å more shallow than that of DPH. The hindrance observed in the translational and rotational motions of TMA-DPH compared to DPH is mainly not due to significant differences in depth, but to the favorable electrostatic interactions of the former with electronegative lipid atoms instead. By revealing detailed insights on the behavior of these two probes, our results are useful both in the interpretation of past work and in the planning of future experiments using themasmembrane reporters.

RNA-FISH Technique: Probe Cocktails vs Single Probes

RNA-Fluorescence In Situ Hybridization (RNA-FISH) enables to analyze and visualize the microorganisms of interest within microbial communities in their natural environments by fluorescent labelling of specific RNA sequences. Poor accessibility or low content of the RNA target region can cause false positives/negatives due to low fluorescence of the cells. To reduce the chances of this occurring, probe cocktails – i.e. mixture of several probes that hybridize to different regions of the target RNA- has been proposed as an alternative to single probes use for increasing the Fluorescence Intensities (FI). However, is this really a good solution? The key finding of this work was that the use of probe cocktails is not always a good solution for maximizing the FI as at high concentrations the single probe EUK516-6 FAM yielded higher FI than the probe cocktails.

Diphenylhexatriene membrane probes DPH and TMA-DPH: A comparative molecular dynamics simulation study

Fluorescence spectroscopy andmicroscopy have been utilized as tools in membrane biophysics for decades now. Because phospholipids are non-fluorescent, the use of extrinsic membrane probes in this context is commonplace. Among the latter, 1,6-diphenylhexatriene (DPH) and its trimethylammonium derivative (TMA-DPH) have been extensively used. It is widely believed that, owing to its additional charged group, TMA-DPH is anchored at the lipid/water interface and reports on a bilayer region that is distinct from that of the hydrophobic DPH. In this study, we employ atomistic MD simulations to characterize the behavior of DPH and TMA-DPH in 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine (POPC) and POPC/cholesterol (4:1) bilayers. We show that although the dynamics of TMA-DPH in thesemembranes is noticeably more hindered than that of DPH, the location of the average fluorophore of TMA-DPH is only ~3–4 Å more shallow than that of DPH. The hindrance observed in the translational and rotational motions of TMA-DPH compared to DPH is mainly not due to significant differences in depth, but to the favorable electrostatic interactions of the former with electronegative lipid atoms instead. By revealing detailed insights on the behavior of these two probes, our results are useful both in the interpretation of past work and in the planning of future experiments using themasmembrane reporters.

Genomic structure and marker-derived gene networks for growth and meat quality traits of brazilian nelore beef cattle.

Nelore is the major beef cattle breed in Brazil with more than 130 million heads. Genome-wide association studies (GWAS) are often used to associate markers and genomic regions to growth and meat quality traits that can be used to assist selection programs. An alternative methodology to traditional GWAS that involves the construction of gene network interactions, derived from results of several GWAS is the AWM (Association Weight Matrices)/PCIT (Partial Correlation and Information Theory). With the aim of evaluating the genetic architecture of Brazilian Nelore cattle, we used high-density SNP genotyping data (~770,000 SNP) from 780 Nelore animals comprising 34 half-sibling families derived from highly disseminated and unrelated sires from across Brazil. The AWM/PCIT methodology was employed to evaluate the genes that participate in a series of eight phenotypes related to growth and meat quality obtained from this Nelore sample.

Genomic and functional insights into the interactions between vaginal Lactobacillus strains and pathogens

The vaginal microbiota of healthy pre-menopausal women is typically dominated by one Lactobacillus species among L. crispatus, L. gasseri, L. jensenii and L. iners. Thanks to a series of antimicrobial activities, strains belonging to these species represent the first barrier against infections and maintain niche homeostasis. On the other hands, the increase abundance in pathogen species is associated with the onset of numerous diseases, leading also to an increase risk of other infections acquisition. The deciphering of factors which influence Lactobacillus survival, as well as the interactions between lactobacilli-pathogens and pathogens-pathogens represent an important topic of study for improving woman health and investigating effective probiotic strategies. Here, we investigated environmental factors and genetic traits that lead to the dominance of either L. crispatus or L. gasseri in the vaginal niche and the possible applications of liposomes loaded with L. gasseri biosurfactants for the treatment and prevention of Staphylococcus aureus biofilm infections. Furthermore, considering the increasing relevance acquired by bacterial extracellular vesicles (EVs) we analysed the role of EVs derived from vaginal lactobacilli and pathogens on both bacterial growth and HIV-1 infections. As a result, we reported for the first time i) common and species-specific genotypic and phenotypic features of L. crispatus and L. gasseri ii) significant antibiofilm activity of liposomes loading vaginal Lactobacillus biosurfactants against multi-drug resistant S. aureus strains iii) absence of growth regulation mediated by EVs derived from lactobacilli on pathogen cultures and vice versa iv) anti-HIV-1 activity of protein derived from L. gasseri EVs and unexpected antiviral effect of pathogen-derived EVs on HIV-1 infections in vitro. In conclusion, this PhD thesis explored characteristics and possible applications of vaginal lactobacilli for the human health, as well as promising antiviral effects of both lactobacilli and pathogen derived EVs.

Tumor heterogeneity in Esophageal Adenocarcinoma: a genomic approach

INTRODUCTION: Esophageal adenocarcinoma (EAC) is a severe malignancy in terms of prognosis and mortality rate. Because its great genetic heterogeneity, disputes regarding classification, prevention and treatments are still unsolved. AIM: We investigated intra- and inter-EAC heterogeneity by defining EAC’s somatic mutational profile and the role of candidate microRNAs, to correlate the molecular profile of tumors to clinical outcomes and to identify biomarkers for classification. METHODS: 38 EAC cases were analyzed via high-throughput cell sorting technology combined with targeted sequencing and whole genome low-pass sequencing. Targeted sequencing of further 169 cases was performed to widen the study. miR221 and miR483-3p expression was profiled via qPCR in 112 EACs and correlation with clinical outcomes was investigated. RESULTS: 35/38 EACs carried at least one somatic mutation absent in stromal cells. TP53 was found mutated in 73.7% of cases. Selective sorting revealed tumor subclones with different mutational loads and copy number alterations, confirming the high intra-tumor heterogeneity of EAC. Mutations were in most cases at homozygous state, and we identified alterations that were missed with the whole-tumor analysis. Mutations in HNF1A gene, not previously associated with EAC, were identified in both cohorts. Higher expression of miR483-3p and miR221 was associated with poorer cancer specific survival (P=0.0293 and P=0.0059), and recurrence in the Lauren intestinal subtype (P=0.0459 and P=0.0002). Median expression levels of miRNAs were higher in patients with advanced tumor stages. The loss of SMAD4 immunoreactivity was significantly associated with poorer cancer specific survival and recurrence (P=0.0452; P=0.022 respectively). CONCLUSION: Combining selective sorting technology and next generation sequencing allowed to better define EAC inter- and intra-tumor heterogeneity. We identified HNF1A as a new mutated gene associated to EAC that could be involved in tumor progression and promising biomarkers such as SMAD4, miR221 and miR483-3p to identify patients at higher risk for more aggressive tumors.

Development of thermochemiluminescence-based sensitive probes: synthesis, optimization, and characterization of c2- and c7-substituted acridine-containing 1,2-dioxetanes

After initial efforts in the late 1980s, the interest in thermochemiluminescence (TCL) as an effective detection technique has gradually faded due to some drawbacks, such as the high temperatures required to trigger the light emission and the relatively low intensities, which determined a poor sensitivity. Recent advances made with the adoption of variably functionalized 1,2-dioxetanes as innovative luminophores, have proved to be a promising approach for the development of reagentless and ultrasensitive detection methods exploitable in biosensors by using TCL compounds as labels, as either single molecules or included in modified nanoparticles. In this PhD Thesis, a novel class of N-substituted acridine-containing 1,2-dioxetanes was designed, synthesized, and characterized as universal TCL probes endowed with optimal emission-triggering temperatures and higher detectability particularly useful in bioanalytical assays. The different decorations introduced by the insertion of both electron donating (EDGs) and electron withdrawing groups (EWGs) at the 2- and 7-positions of acridine fluorophore was found to profoundly affect the photophysical properties and the activation parameters of the final 1,2-dioxetane products. Challenges in the synthesis of 1,2-dioxetanes were tackled with the recourse to continuous flow photochemistry to achieve the target parent compound in high yields, short reaction time, and easy scalability. Computational studies were also carried out to predict the olefins reactivity in the crucial photooxygenation reaction as well as the final products stability. The preliminary application of TCL prototype molecule has been performed in HaCaT cell lines showing the ability of these molecules to be detected in real biological samples and cell-based assays. Finally, attempts on the characterization of 1,2-dioxetanes in different environments (solid state, optical glue and nanosystems) and the development of bioconjugated TCL probes will be also presented and discussed.

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.

Study of charge, spin, and structural orderings in quantum materials using nuclei and muons as local probes

Quantum Materials are many body systems displaying emergent phenomena caused by quantum collective behaviour, such as superconductivity, charge density wave, fractional hall effect, and exotic magnetism. Among quantum materials, two families have recently attracted attention: kagome metals and Kitaev materials. Kagome metals have a unique crystal structure made up of triangular lattice layers that are used to form the kagome layer. Due to superconductivity, magnetism, and charge ordering states such as the Charge Density Wave (CDW), unexpected physical phenomena such as the massive Anomalous Hall Effect (AHE) and possible Majorana fermions develop in these materials. Kitaev materials are a type of quantum material with a unique spin model named after Alexei Kitaev. They include fractional fluctuations of Majorana fermions and non-topological abelian anyons, both of which might be used in quantum computing. Furthermore, they provide a realistic framework for the development of quantum spin liquid (QSL), in which quantum fluctuations produce long-range entanglements between electronic states despite the lack of classical magnetic ordering. In my research, I performed several nuclear magnetic resonance (NMR), nuclear quadrupole resonance (NQR), and muon spin spectroscopy (µSR) experiments to explain and unravel novel phases of matter within these unusual families of materials. NMR has been found to be an excellent tool for studying these materials’ local electronic structures and magnetic properties. I could use NMR to determine, for the first time, the structure of a novel kagome superconductor, RbV3Sb5, below the CDW transition, and to highlight the role of chemical doping in the CDW phase of AV3Sb5 superconductors. µSR has been used to investigate the effect of doping on kagome material samples in order to study the presence and behaviour of an anomalous phase developing at low temperatures and possibly related to time-reversal symmetry breaking.

Liquid biopsy for prostate cancer molecular characterization: homologous recombination system and genomic profile

Pathogenic aberrations in homologous recombination DNA repair (HRR) genes occur in approximately 1 to 4 men with advanced prostate cancer (PCa). Treatment with PARP inhibitors (PARPi) has recently been introduced for metastatic castration-resistant PCa patients, increasing clinicians' interest in the molecular characterization of all PCa patients. The limitations of using old, low-quality tumor tissue for genetic analysis, which is very common for PCa, can be overcome by using liquid biopsy as an alternative biomarker source. In this study, we aimed to evaluate the detection of molecular alterations in HRR genes on liquid biopsy compared with tumor tissue from PCa patients. Secondarily, we explored the genomic instability score (GIS), and a broader range of gene alterations for in-depth characterization of the PCa cohort. Plasma samples were collected from 63 patients with PCa. Sophia Homologous Recombination Solution (targeting 16 HRR genes) and shallow whole genome sequencing (sWGS) were used for genomic analysis of tissue DNA and circulating tumor DNA (ct). A total of 33 alterations (mainly on TP53, ATM, CHEK2, CDK12, and BRCA1/2) were identified in 28,5% of PCa plasma patients. By integrating the mutational and sWGS data, the HRR status of PCa patients was determined and a concordance agreement of 85,7% was identified with tumor tissue. A median GIS of 15 was obtained, reaching a score of 63 in 2 samples with double alterations, BRCA1 and TP53. We explored the PCa mutation landscape, and the most significant enriched pathways identified were the sphingosine 1-phosphate (S1P) receptor signaling and the PI3K-AKT-mTOR pathway. HRR analysis on FFPE and liquid biopsy samples show high concordance, demonstrating that the noninvasive ctDNA-enriched plasma can be an optimal alternative source for molecular SNV and CNV analysis. In addition, the evaluation of GIS and pathway interaction should be considered for more comprehensive molecular characterization in PCa patients.

Work environments implementation for genomic reporting and analytics

A global italian pharmaceutical company has to provide two work environments that favor different needs. The environments will allow to develop solutions in a controlled, secure and at the same time in an independent manner on a state-of-the-art enterprise cloud platform. The need of developing two different environments is dictated by the needs of the working units. Indeed, the first environment is designed to facilitate the creation of application related to genomics, therefore, designed more for data-scientists. This environment is capable of consuming, producing, retrieving and incorporating data, furthermore, will support the most used programming languages for genomic applications (e.g., Python, R). The proposal was to obtain a pool of ready-togo Virtual Machines with different architectures to provide best performance based on the job that needs to be carried out. The second environment has more of a traditional trait, to obtain, via ETL (Extract-Transform-Load) process, a global datamodel, resembling a classical relational structure. It will provide major BI operations (e.g., analytics, performance measure, reports, etc.) that can be leveraged both for application analysis or for internal usage. Since, both architectures will maintain large amounts of data regarding not only pharmaceutical informations but also internal company informations, it would be possible to digest the data by reporting/ analytics tools and also apply data-mining, machine learning technologies to exploit intrinsic informations. The thesis work will introduce, proposals, implementations, descriptions of used technologies/platforms and future works of the above discussed environments.

[the Use Of Fish On Buccal Smear To Investigate Mosaicism With A 45,x Cell Line: Study On Healthy Men And Patients With Disorders Of Sex Development].

To verify whether fluorescence in situ hybridization (FISH) of cells from the buccal epithelium could be employed to detect cryptomosaicism with a 45,X lineage in 46,XY patients. Samples of nineteen 46,XY healthy young men and five patients with disorders of sex development (DSD), four 45,X/46,XY and one 46,XY were used. FISH analysis with X and Y specific probes on interphase nuclei from blood lymphocytes and buccal epithelium were analyzed to investigate the proportion of nuclei containing only the signal of the X chromosome. The frequency of nuclei containing only the X signal in the two tissues of healthy men did not differ (p = 0.69). In all patients with DSD this frequency was significantly higher, and there was no difference between the two tissues (p = 0.38), either. Investigation of mosaicism with a 45,X cell line in patients with 46,XY DSD or sterility can be done by FISH directly using cells from the buccal epithelium.