The molecular basis of Marinesco-Sjögren syndrome

Marinesco-Sjögren syndrome (MSS) is a rare autosomal recessive neurodegenerative disorder characterized by cerebellar ataxia due to cerebellar cortical atrophy, infantile- or childhood-onset bilateral cataracts, progressive myopathy, and mild to severe mental retardation. Additional features include hypergonadotropic hypogonadism, various skeletal abnormalities, short stature, and strabismus. The neuroradiologic hallmarks are hypoplasia of both the vermis and cerebellar hemispheres. The histopathologic findings include severe cerebellar atrophy and loss of Purkinje and granule cells. The common pathologic findings in muscle biopsy are variation in muscle fiber size, atrophic fibers, fatty replacement, and rimmed vacuole formation. The presence of marked cerebellar atrophy with myopathy distinguishes MSS from another rare syndrome, the congenital cataracts, facial dysmorphism, and neuropathy syndrome (CCFDN). Previously, work by others had resulted in the identification of an MSS locus on chromosome 5q31. A subtype of MSS with myoglobinuria and neuropathy had been linked to the CCFDN locus on chromosome 18qter, at which mutations in the CTDP1 gene had been identified. We confirmed linkage to the previously identified locus on chromosome 5q31 in two Finnish families with eight affected individuals, reduced the critical region by fine-mapping, and identified SIL1 as a gene underlying MSS. We found a common homozygous founder mutation in all Finnish patients. The same mutation was also present in patient samples from Norway and Sweden. Altogether, we identified eight mutations in SIL1, including nonsense, frameshift, splice site alterations, and one missense mutation. SIL1 encodes a nucleotide exchange factor for the endoplasmic reticulum (ER) resident heat-shock protein 70 chaperone GRP78. GRP78 functions in protein synthesis and quality control of the newly synthesized polypeptides. It senses and responds to stressful cellular conditions. We showed that in mice, SIL1 and GRP78 show highly similar spatial and temporal tissue expression in developing and mature brain, eye, and muscle. Studying endogenous proteins in mouse primary hippocampal neurons, we found that SIL1 and GRP78 colocalize and that SIL1 localizes to the ER. We studied the subcellular localization of two mutant proteins, a missense mutant found in two patients and an artificial mutant lacking the ER retrieval signal, and found that both mutant proteins formed aggregates within the ER. Well in line with our findings and the clinical features of MSS, recent work by Zhao et al. showed that a truncation of SIL1 causes ataxia and cerebellar Purkinje cell loss in the naturally occurring woozy mutant mouse. Prior to Purkinje cell degeneration, the unfolded protein response is initiated and abnormal protein accumulations are present. MSS thus joins the group of protein misfolding and accumulation diseases. These findings highlight the importance of SIL1 and the role of the ER in neuronal function and survival. The results presented in this thesis provide tools for the molecular genetic diagnostics of MSS and give a basis for future studies on the molecular pathogenesis of MSS. Understanding the mechanisms behind this pleiotropic syndrome may provide insights into more common forms of ataxia, myopathy, and neurodegeneration.

On probability-based inference under data missing by design

Whether a statistician wants to complement a probability model for observed data with a prior distribution and carry out fully probabilistic inference, or base the inference only on the likelihood function, may be a fundamental question in theory, but in practice it may well be of less importance if the likelihood contains much more information than the prior. Maximum likelihood inference can be justified as a Gaussian approximation at the posterior mode, using flat priors. However, in situations where parametric assumptions in standard statistical models would be too rigid, more flexible model formulation, combined with fully probabilistic inference, can be achieved using hierarchical Bayesian parametrization. This work includes five articles, all of which apply probability modeling under various problems involving incomplete observation. Three of the papers apply maximum likelihood estimation and two of them hierarchical Bayesian modeling. Because maximum likelihood may be presented as a special case of Bayesian inference, but not the other way round, in the introductory part of this work we present a framework for probability-based inference using only Bayesian concepts. We also re-derive some results presented in the original articles using the toolbox equipped herein, to show that they are also justifiable under this more general framework. Here the assumption of exchangeability and de Finetti's representation theorem are applied repeatedly for justifying the use of standard parametric probability models with conditionally independent likelihood contributions. It is argued that this same reasoning can be applied also under sampling from a finite population. The main emphasis here is in probability-based inference under incomplete observation due to study design. This is illustrated using a generic two-phase cohort sampling design as an example. The alternative approaches presented for analysis of such a design are full likelihood, which utilizes all observed information, and conditional likelihood, which is restricted to a completely observed set, conditioning on the rule that generated that set. Conditional likelihood inference is also applied for a joint analysis of prevalence and incidence data, a situation subject to both left censoring and left truncation. Other topics covered are model uncertainty and causal inference using posterior predictive distributions. We formulate a non-parametric monotonic regression model for one or more covariates and a Bayesian estimation procedure, and apply the model in the context of optimal sequential treatment regimes, demonstrating that inference based on posterior predictive distributions is feasible also in this case.

Functional regulation of the Neurofibromatosis 2 tumor suppressor merlin

Neurofibromatosis 2 (NF2) is an autosomal dominant disorder manifested by the formation of multiple benign tumors of the nervous system. Affected individuals typically develop bilateral vestibular schwannomas which lead to deafness and balance disorders. The syndrome is caused by inactivation of the NF2 tumor suppressor gene, and mutation or loss of the NF2 product, merlin, is sufficient for tumorigenesis in both hereditary and sporadic NF2-associated tumors. Merlin belongs to the band 4.1 superfamily of cytoskeletal proteins, which also contain the related ezrin, radixin, and moesin (ERM) proteins. The ERM members provide a link between the cell cytoskeleton and membrane by connecting membrane-associated proteins to actin filaments. By stabilizing complexes in the cell cortex, the ERMs modulate morphology, growth, and migration of cells. Despite their structural homology, overlapping subcellular distribution, direct molecular association, and partial overlap of molecular interactions, merlin and ezrin exert opposite effects on cell proliferation. Merlin suppresses cell proliferation, whereas ezrin expression is linked to oncogenic activity. We hypothesized that the regions which differ between the proteins might explain merlin s specificity as a tumor suppressor. We therefore analyzed the regions, which are most diverse between merlin and ezrin; the N-terminal tail and the C-terminus. To determine the properties of the C-terminal region, we studied the two most predominant merlin isoforms together with truncation variants similar to those found in patients. We also focused on the evolutionally conserved C-terminal residues, E545-E547, that harbor disease causing mutations in its corresponding DNA sequence. In addition to inhibiting cell proliferation, merlin regulates cytoskeletal organization. The morphogenic properties of merlin may play a role in tumor suppression, since patient-derived tumor cells demonstrate cytoskeletal abnormalities. We analyzed the mechanisms of merlin-induced extension formation and determined that the C-terminal region of amino acids 538-568 is particularly important for the morphogenic activity. We also characterized the role of C-terminal merlin residues in the regulation of proliferation, phosphorylation, and intramolecular associations. In contrast to previous reports, we demonstrated that both merlin isoforms are able to suppress cell proliferation, whereas C-terminally mutated merlin constructs showed reduced growth inhibition. Phosphorylation serves as a mechanism to regulate the tumor suppressive activity of merlin. The C-terminal serine 518 is phosphorylated in response to both p21-activated kinase (PAK) and protein kinase A (PKA), which inactivates the growth inhibitory function of merlin. However, at least three differentially phosphorylated forms of the protein exist. In this study we demonstrated that also the N-terminus of merlin is phosphorylated by AGC kinases, and that both PKA and Akt phosphorylate merlin at serine 10 (S10). We evaluated the impact of this N-terminal tail phosphorylation, and showed that the phosphorylation state of S10 is an important regulator of merlin s ability to modulate cytoskeletal organization but also regulates the stability of the protein. In summary, this study describes the functional effect of merlin specific regions. We demonstrate that both S10 in the N-terminal tail and residues E545-E547 in the C-terminus are essential for merlin activity and function.