Insulin and TOR pathways regulate cellular and organismal growth through the myc oncogene in Drosophila

A large body of literature documents in both mice and Drosophila the involvement of Insulin pathway in growth regulation, probably due to its role in glucose and lipid import, nutrient storage, and translation of RNAs implicated in ribosome biogenesis (Vanhaesebroeck et al. 2001). Moreover several lines of evidence implicate this pathway as a causal factor in cancer (Sale, 2008; Zeng and Yee 2007; Hursting et al., 2007; Chan et al., 2008). With regards to Myc, studies in cell culture have implied this family of transcription factors as regulators of the cell cycle that are rapidly induced in response to growth factors. Myc is a potent oncogene, rearranged and overexpressed in a wide range of human tumors and necessary during development. Its conditional knock-out in mice results in reduction of body weight due to defect in cell proliferation (Trumpp et al. 2001). Evidence from in vivo studies in Drosophila and mammals suggests a critical function for myc in cell growth regulation (Iritani and Eisenman 1999; Johnston et al. 1999; Kim et al. 2000; de Alboran et al. 2001; Douglas et al. 2001). This role is supported by our analysis of Myc target genes in Drosophila, which include genes involved in RNA binding, processing, ribosome biogenesis and nucleolar function (Orain et al 2003, Bellosta et al., 2005, Hulf et al, 2005). The fact that Insulin signaling and Myc have both been associated with growth control suggests that they may interact with each other. However, genetic evidence suggesting that Insulin signaling regulates Myc in vivo is lacking. In this work we were able to show, for the first time, a direct modulation of dMyc in response to Insulin stimulation/silencing both in vitro and in vivo. Our results suggest that dMyc up-regulation in response to DILPs signaling occurs both at the mRNA and potein level. We believe dMyc protein accumulation after Insulin signaling activation is conditioned to AKT-dependent GSK3β/sgg inactivation. In fact, we were able to demonstate that dMyc protein stabilization through phosphorylation is a conserved feature between Drosophila and vertebrates and requires multiple events. The final phosphorylation step, that results in a non-stable form of dMyc protein, ready to be degraded by the proteasome, is performed by GSK3β/sgg kinase (Sears, 2004). At the same time we demonstrated that CKI family of protein kinase are required to prime dMyc phosphorylation. DILPs and TOR/Nutrient signalings are known to communicate at several levels (Neufeld, 2003). For this reason we further investigated TOR contribution to dMyc-dependent growth regulation. dMyc protein accumulates in S2 cells after aminoacid stimulation, while its mRNA does not seem to be affected upon TORC1 inhibition, suggesting that the Nutrient pathway regulates dMyc mostly post-transcriptionally. In support to this hypothesis, we observed a TORC1-dependent GSK3β/sgg inactivation, further confirming a synergic effect of DILPs and Nutrients on dMyc protein stability. On the other hand, our data show that Rheb but not S6K, both downstream of the TOR kinase, contributes to the dMyc-induced growth of the eye tissue, suggesting that Rheb controls growth independently of S6K.. Moreover, Rheb seems to be able to regulate organ size during development inducing cell death, a mechanism no longer occurring in absence of dmyc. These observations suggest that Rheb might control growth through a new pathway independent of TOR/S6K but still dependent on dMyc. In order to dissect the mechanism of dMyc regulation in response to these events, we analyzed the relative contribution of Rheb, TOR and S6K to dMyc expression, biochemically in S2 cells and in vivo in morphogenetic clones and we further confirmed an interplay between Rheb and Myc that seems to be indipendent from TOR. In this work we clarified the mechanisms that stabilize dMyc protein in vitro and in vivo and we observed for the first time dMyc responsiveness to DILPs and TOR. At the same time, we discovered a new branch of the Nutrient pathway that appears to drive growth through dMyc but indipendently from TOR. We believe our work shed light on the mechanisms cells use to grow or restrain growth in presence/absence of growth promoting cues and for this reason it contributes to understand the physiology of growth control.

Bioimaging of animal embryogenesis: mathematical methods and computational algorithms

Some fundamental biological processes such as embryonic development have been preserved during evolution and are common to species belonging to different phylogenetic positions, but are nowadays largely unknown. The understanding of cell morphodynamics leading to the formation of organized spatial distribution of cells such as tissues and organs can be achieved through the reconstruction of cells shape and position during the development of a live animal embryo. We design in this work a chain of image processing methods to automatically segment and track cells nuclei and membranes during the development of a zebrafish embryo, which has been largely validates as model organism to understand vertebrate development, gene function and healingrepair mechanisms in vertebrates. The embryo is previously labeled through the ubiquitous expression of fluorescent proteins addressed to cells nuclei and membranes, and temporal sequences of volumetric images are acquired with laser scanning microscopy. Cells position is detected by processing nuclei images either through the generalized form of the Hough transform or identifying nuclei position with local maxima after a smoothing preprocessing step. Membranes and nuclei shapes are reconstructed by using PDEs based variational techniques such as the Subjective Surfaces and the Chan Vese method. Cells tracking is performed by combining informations previously detected on cells shape and position with biological regularization constraints. Our results are manually validated and reconstruct the formation of zebrafish brain at 7-8 somite stage with all the cells tracked starting from late sphere stage with less than 2% error for at least 6 hours. Our reconstruction opens the way to a systematic investigation of cellular behaviors, of clonal origin and clonal complexity of brain organs, as well as the contribution of cell proliferation modes and cell movements to the formation of local patterns and morphogenetic fields.

Multi-level models and infrastructures for simulating biological system development

The hierarchical organisation of biological systems plays a crucial role in the pattern formation of gene expression resulting from the morphogenetic processes, where autonomous internal dynamics of cells, as well as cell-to-cell interactions through membranes, are responsible for the emergent peculiar structures of the individual phenotype. Being able to reproduce the systems dynamics at different levels of such a hierarchy might be very useful for studying such a complex phenomenon of self-organisation. The idea is to model the phenomenon in terms of a large and dynamic network of compartments, where the interplay between inter-compartment and intra-compartment events determines the emergent behaviour resulting in the formation of spatial patterns. According to these premises the thesis proposes a review of the different approaches already developed in modelling developmental biology problems, as well as the main models and infrastructures available in literature for modelling biological systems, analysing their capabilities in tackling multi-compartment / multi-level models. The thesis then introduces a practical framework, MS-BioNET, for modelling and simulating these scenarios exploiting the potential of multi-level dynamics. This is based on (i) a computational model featuring networks of compartments and an enhanced model of chemical reaction addressing molecule transfer, (ii) a logic-oriented language to flexibly specify complex simulation scenarios, and (iii) a simulation engine based on the many-species/many-channels optimised version of Gillespie’s direct method. The thesis finally proposes the adoption of the agent-based model as an approach capable of capture multi-level dynamics. To overcome the problem of parameter tuning in the model, the simulators are supplied with a module for parameter optimisation. The task is defined as an optimisation problem over the parameter space in which the objective function to be minimised is the distance between the output of the simulator and a target one. The problem is tackled with a metaheuristic algorithm. As an example of application of the MS-BioNET framework and of the agent-based model, a model of the first stages of Drosophila Melanogaster development is realised. The model goal is to generate the early spatial pattern of gap gene expression. The correctness of the models is shown comparing the simulation results with real data of gene expression with spatial and temporal resolution, acquired in free on-line sources.

Evidenza del coinvolgimento di geni nell'insorgenza delle schisi labio-palatine

The CL/P are the most common and easily recognizable craniofacial malformations with a complex etiology that requires the involvement of genetic and environmental components. The analysis of the genetic component shows more than 14 loci and genes involved in the onset of the disease. I’ve selected and investigated some of the possible candidate genes for CL/P. MYH14 gene, that maps on chromosome 19, on the OFC3 locus, and shows a strong homology with MYH9 gene. I’ve also investigated TP63 and MID1 genes, that are responsible respectively for EEC syndrome and Opitz syndrome, both of them presenting cleft. I’ve also decided to investigate JAG2 because TP63 product regulates the this gene, and both of them are component of the Notch signalling pathway. I’ve, also, studied the MKX and LMO4 genes. MKX is an important development regulator that is highly expressed in palatal mesenchyme, and map in the region responsible for Twirler mutation that cause cleft in mouse. LMO4 is necessary for neural tube development and cooperating with Grhl3, promotes cellular migration during morphogenetic events like “in utero” cleft healing. Low folate levels and high levels of homocysteine increase the risk of cleft, genes involved in their metabolism may be of interest in cleft occurrence. I’ve decided to investigate BHMT and CBS genes coding for enzymes involved in homocysteine metabolism. I’ve also investigated BHMT2 gene that maps close to BHMT and presents with him a 73% of homology. I’ve performed a linkage analysis using SNPs mapping in the genes and their boundaries, for each gene, for MKX and LMO4 I’ve also performed a sequencing analysis. My results for MID1 and CBS genes support the hypothesis of a possible role of these genes in cleft. I’ve found borderline association values for JAG2, MKX and LMO4 genes.

Partnership fra terzo Settore e Istituzioni Locali nelle Politiche Family Friendly: Il "Distretto famiglia"

L’idea fondamentale da cui prende avvio la presente tesi di dottorato è che sia possibile parlare di una svolta nel modo di concettualizzare e implementare le politiche sociali, il cui fuoco diviene sempre più la costruzione di reti di partnership fra attori pubblici e privati, in cui una serie di soggetti sociali plurimi (stakeholders) attivano fra loro una riflessività relazionale. L’ipotesi generale della ricerca è che, dopo le politiche improntate a modelli statalisti e mercatisti, o un loro mix, nella politica sociale italiana emerga l’esigenza di una svolta riflessiva e relazionale, verso un modello societario, sussidiario e plurale, e che di fatto – specie a livello locale – stiano sorgendo molte iniziative in tal senso. Una delle idee più promettenti sembra essere la creazione di distretti sociali per far collaborare tra loro attori pubblici, privati e di Terzo settore al fine di creare forme innovative di servizi per la famiglia e la persona. La presente tesi si focalizza sul tentativo della Provincia di Trento di distrettualizzare le politiche per la famiglia. Tramite l’analisi del progetto “Trentino – Territorio Amico della Famiglia” e di una sua verticalizzazione, il Distretto Famiglia, si è studiato l’apporto delle partnership pubblico-privato nella formazione di strumenti innovativi di governance che possano determinare una svolta morfogenetica nell’elaborazione di politiche per la famiglia. Le conclusioni del lavoro, attraverso una comparazione tra esperienze territoriali, presentano la differenziazione delle partnership sociali, in base ad alcuni variabili (pluralità di attori, pluralità di risorse, shared project, capitale sociale, decision making, mutual action, logiche di lavoro relazionale, sussidiarietà). Le diverse modalità di gestione delle partnership (capacitante, professionale e generativa) sintetizzano i portati culturali, strutturali e personali coinvolti nelle singole costruzioni. Solo le partnership che interpretano il loro potenziale regolativo e promozionale secondo la riflessività relazionale tendono a generare beni comuni nel contesto sociale.