Data-driven clustering : new methods and applications

Abstract : This work is concerned with the development and application of novel unsupervised learning methods, having in mind two target applications: the analysis of forensic case data and the classification of remote sensing images. First, a method based on a symbolic optimization of the inter-sample distance measure is proposed to improve the flexibility of spectral clustering algorithms, and applied to the problem of forensic case data. This distance is optimized using a loss function related to the preservation of neighborhood structure between the input space and the space of principal components, and solutions are found using genetic programming. Results are compared to a variety of state-of--the-art clustering algorithms. Subsequently, a new large-scale clustering method based on a joint optimization of feature extraction and classification is proposed and applied to various databases, including two hyperspectral remote sensing images. The algorithm makes uses of a functional model (e.g., a neural network) for clustering which is trained by stochastic gradient descent. Results indicate that such a technique can easily scale to huge databases, can avoid the so-called out-of-sample problem, and can compete with or even outperform existing clustering algorithms on both artificial data and real remote sensing images. This is verified on small databases as well as very large problems. Résumé : Ce travail de recherche porte sur le développement et l'application de méthodes d'apprentissage dites non supervisées. Les applications visées par ces méthodes sont l'analyse de données forensiques et la classification d'images hyperspectrales en télédétection. Dans un premier temps, une méthodologie de classification non supervisée fondée sur l'optimisation symbolique d'une mesure de distance inter-échantillons est proposée. Cette mesure est obtenue en optimisant une fonction de coût reliée à la préservation de la structure de voisinage d'un point entre l'espace des variables initiales et l'espace des composantes principales. Cette méthode est appliquée à l'analyse de données forensiques et comparée à un éventail de méthodes déjà existantes. En second lieu, une méthode fondée sur une optimisation conjointe des tâches de sélection de variables et de classification est implémentée dans un réseau de neurones et appliquée à diverses bases de données, dont deux images hyperspectrales. Le réseau de neurones est entraîné à l'aide d'un algorithme de gradient stochastique, ce qui rend cette technique applicable à des images de très haute résolution. Les résultats de l'application de cette dernière montrent que l'utilisation d'une telle technique permet de classifier de très grandes bases de données sans difficulté et donne des résultats avantageusement comparables aux méthodes existantes.

Decision analysis for the genotype designation in low-template-DNA profiles

What genotype should the scientist specify for conducting a database search to try to find the source of a low-template-DNA (lt-DNA) trace? When the scientist answers this question, he or she makes a decision. Here, we approach this decision problem from a normative point of view by defining a decision-theoretic framework for answering this question for one locus. This framework combines the probability distribution describing the uncertainty over the trace's donor's possible genotypes with a loss function describing the scientist's preferences concerning false exclusions and false inclusions that may result from the database search. According to this approach, the scientist should choose the genotype designation that minimizes the expected loss. To illustrate the results produced by this approach, we apply it to two hypothetical cases: (1) the case of observing one peak for allele xi on a single electropherogram, and (2) the case of observing one peak for allele xi on one replicate, and a pair of peaks for alleles xi and xj, i ≠ j, on a second replicate. Given that the probabilities of allele drop-out are defined as functions of the observed peak heights, the threshold values marking the turning points when the scientist should switch from one designation to another are derived in terms of the observed peak heights. For each case, sensitivity analyses show the impact of the model's parameters on these threshold values. The results support the conclusion that the procedure should not focus on a single threshold value for making this decision for all alleles, all loci and in all laboratories.

Bayesian classification criterion for forensic multivariate data

This study presents a classification criteria for two-class Cannabis seedlings. As the cultivation of drug type cannabis is forbidden in Switzerland, law enforcement authorities regularly ask laboratories to determine cannabis plant's chemotype from seized material in order to ascertain that the plantation is legal or not. In this study, the classification analysis is based on data obtained from the relative proportion of three major leaf compounds measured by gas-chromatography interfaced with mass spectrometry (GC-MS). The aim is to discriminate between drug type (illegal) and fiber type (legal) cannabis at an early stage of the growth. A Bayesian procedure is proposed: a Bayes factor is computed and classification is performed on the basis of the decision maker specifications (i.e. prior probability distributions on cannabis type and consequences of classification measured by losses). Classification rates are computed with two statistical models and results are compared. Sensitivity analysis is then performed to analyze the robustness of classification criteria.

Structured output SVM for remote sensing image classification

In the recent years, kernel methods have revealed very powerful tools in many application domains in general and in remote sensing image classification in particular. The special characteristics of remote sensing images (high dimension, few labeled samples and different noise sources) are efficiently dealt with kernel machines. In this paper, we propose the use of structured output learning to improve remote sensing image classification based on kernels. Structured output learning is concerned with the design of machine learning algorithms that not only implement input-output mapping, but also take into account the relations between output labels, thus generalizing unstructured kernel methods. We analyze the framework and introduce it to the remote sensing community. Output similarity is here encoded into SVM classifiers by modifying the model loss function and the kernel function either independently or jointly. Experiments on a very high resolution (VHR) image classification problem shows promising results and opens a wide field of research with structured output kernel methods.

The database search problem: a question of rational decision making

This paper applies probability and decision theory in the graphical interface of an influence diagram to study the formal requirements of rationality which justify the individualization of a person found through a database search. The decision-theoretic part of the analysis studies the parameters that a rational decision maker would use to individualize the selected person. The modeling part (in the form of an influence diagram) clarifies the relationships between this decision and the ingredients that make up the database search problem, i.e., the results of the database search and the different pairs of propositions describing whether an individual is at the source of the crime stain. These analyses evaluate the desirability associated with the decision of 'individualizing' (and 'not individualizing'). They point out that this decision is a function of (i) the probability that the individual in question is, in fact, at the source of the crime stain (i.e., the state of nature), and (ii) the decision maker's preferences among the possible consequences of the decision (i.e., the decision maker's loss function). We discuss the relevance and argumentative implications of these insights with respect to recent comments in specialized literature, which suggest points of view that are opposed to the results of our study.

Improvement in coronary circulatory function in morbidly obese individuals after gastric bypass-induced weight loss: relation to alterations in endocannabinoids and adipocytokines.

AIMS: To investigate the effect of surgical gastric bypass-induced weight loss and related alterations in endocannabinoids (ECs) and adipocytokine plasma levels on coronary circulatory dysfunction in morbidly obese (MOB) individuals. METHODS AND RESULTS: Myocardial blood flow (MBF) responses to cold pressor test (CPT) from rest (ΔMBF) and during pharmacologically induced hyperaemia were measured with &supl;³N-ammonia PET/CT in 18 MOB individuals with a body mass index (BMI) > 40 kg/m² at baseline and after a median follow-up period of 22 months. Gastric bypass intervention decreased BMI from a median of 44.8 (inter-quartile range: 43.3, 48.2) to 30.8 (27.3, 34.7) kg/m² (P < 0.0001). This decrease in BMI was accompanied by a marked improvement in endothelium-related ΔMBF to CPT and hyperaemic MBFs, respectively [0.34 (0.18, 0.41) from 0.03 (-0.08, 0.15) mL/g/min, P = 0.002; and 2.51 (2.17, 2.64) from 1.53 (1.39, 2.18) mL/g/min, P < 0.001]. There was an inverse correlation between decreases in plasma concentrations of the EC anandamide and improvement in ΔMBF to CPT (r = -0.59, P = 0.009), while increases in adiponectin plasma levels correlated positively with hyperaemic MBFs (r = 0.60, P = 0.050). Conversely, decreases in leptin plasma concentrations were not observed to correlate with the improvement in coronary circulatory function (r = 0.22, P = 0.400, and r = -0.31, P = 0.250). CONCLUSIONS: Gastric bypass-related reduction of BMI in MOB individuals beneficially affects coronary circulatory dysfunction. The dysbalance between ECs and adipocytokines appears to be an important determinant of coronary circulatory function in obesity.

Application of a roughness-length representation to parameterize energy loss in 3-D numerical simulations of large rivers

Recent technological advances in remote sensing have enabled investigation of the morphodynamics and hydrodynamics of large rivers. However, measuring topography and flow in these very large rivers is time consuming and thus often constrains the spatial resolution and reach-length scales that can be monitored. Similar constraints exist for computational fluid dynamics (CFD) studies of large rivers, requiring maximization of mesh-or grid-cell dimensions and implying a reduction in the representation of bedform-roughness elements that are of the order of a model grid cell or less, even if they are represented in available topographic data. These ``subgrid'' elements must be parameterized, and this paper applies and considers the impact of roughness-length treatments that include the effect of bed roughness due to ``unmeasured'' topography. CFD predictions were found to be sensitive to the roughness-length specification. Model optimization was based on acoustic Doppler current profiler measurements and estimates of the water surface slope for a variety of roughness lengths. This proved difficult as the metrics used to assess optimal model performance diverged due to the effects of large bedforms that are not well parameterized in roughness-length treatments. However, the general spatial flow patterns are effectively predicted by the model. Changes in roughness length were shown to have a major impact upon flow routing at the channel scale. The results also indicate an absence of secondary flow circulation cells in the reached studied, and suggest simpler two-dimensional models may have great utility in the investigation of flow within large rivers. Citation: Sandbach, S. D. et al. (2012), Application of a roughness-length representation to parameterize energy loss in 3-D numerical simulations of large rivers, Water Resour. Res., 48, W12501, doi: 10.1029/2011WR011284.

Natural Arabidopsis brx loss-of-function alleles confer root adaptation to acidic soil.

Soil acidification is a major agricultural problem that negatively affects crop yield. Root systems counteract detrimental passive proton influx from acidic soil through increased proton pumping into the apoplast, which is presumably also required for cell elongation and stimulated by auxin. Here, we found an unexpected impact of extracellular pH on auxin activity and cell proliferation rate in the root meristem of two Arabidopsis mutants with impaired auxin perception, axr3 and brx. Surprisingly, neutral to slightly alkaline media rescued their severely reduced root (meristem) growth by stimulating auxin signaling, independent of auxin uptake. The finding that proton pumps are hyperactive in brx roots could explain this phenomenon and is consistent with more robust growth and increased fitness of brx mutants on overly acidic media or soil. Interestingly, the original brx allele was isolated from a natural stock center accession collected from acidic soil. Our discovery of a novel brx allele in accessions recently collected from another acidic sampling site demonstrates the existence of independently maintained brx loss-of-function alleles in nature and supports the notion that they are advantageous in acidic soil pH conditions, a finding that might be exploited for crop breeding.

Response characteristics of arsenic-sensitive bioreporters expressing the gfp reporter gene

This paper describes the development of an analytical technique for arsenic analyses that is based on genetically-modified bioreporter bacteria bearing a gene encoding for the production of a green fluorescent protein (gfp). Upon exposure to arsenic (in the aqueous form of arsenite), the bioreporter production of the fluorescent reporter molecule is monitored spectroscopically. We compared the response measured as a function of time and concentration by steady-state fluorimetry (SSF) to that measured by epi-fluorescent microscopy (EFM). SSF is a bulk technique; as such it inherently yields less information, whereas EFM monitors the response of many individual cells simultaneously and data can be processed in terms of population averages or subpopulations. For the bioreporter strain used here, as well as for the literature we cite, the two techniques exhibit similar performance characteristics. The results presented here show that the EFM technique can compete with SSF and shows substantially more promise for future improvement; it is a matter of research interest to develop optimized methods of EFM image analysis and statistical data treatment. EFM is a conduit for understanding the dynamics of individual cell response vs. population response, which is not only a matter of research interest, but is also promising in the practical terms of developing micro-scale analysis.

Regulation of HCF-1 function via proteolytic maturation and HCF-1 subunit interaction

Abstract : Host-Cell Factor 1 (HCF-1) was first discovered in the study of the herpes simplex virus (HSV) infection. HCF-1 is one of the two cellular proteins that compose the VP16-induced complex, a key activator of HSV lytic infection. lncleed, when HSV infects human cells, it is able to enter two modes of infection: lytic or latent. The V`P16-induced complex promotes the lytic mode and in so doing the virus targets important cellular regulatory proteins, such as HCF-1, to manipulate the status of the infected cell. Indeed, HCF-1 regulates human cell proliferation and the cell cycle at different steps. In human, HCF-1 is unusual in that it undergoes a process of proteolytic maturation that results from cleavages at six centrally located 26 amino acid repeats called HCF-1pro repeats. This generates a heterodimeric complex of stably associated amino- (HCF-1n) and carboxy- (HCF-1c) terminal subunits. The absence of the HCF-1 N or HCF-1; subunit leads predominantly to either G1 or M phase defects, respectively. We have hypothesized that HCF-1 forms a heterodimeric complex to permit communication between the two subunits of HCF-1 involved in regulating different phases of the cell cycle. Indeed, there is evidence for such inter-subunit communication because a point mutation called P134S in the HCF-1N subunit in the temperature-sensitive hamster cell line tsBN67 causes, addition to G1- phase defects associated with the HCF-1n subunit, M-phase defects similar to the defects seen upon loss of HCF-1 function. Furthermore, inhibition of the proteolytic maturation of HCF-1 by deletion of the six HCF-1pro repeats (HCF-1Aimo) also leads to M-phase defects, specifically cytokinesis defects leading to binucleation, indicating that there is loss of HCF-15 function in the absence of HCF-1 maturation. I demonstrate that individual point mutations in each of the six HCF-1pro repeats that prevent HCF-1 proteolytic maturation also lead to binucleation; however, this defect can be latgely rescued by the presence of just one HCF-1pRO sequence in I-ICF»1. These results argue that processing itself is important for the HCF-1g function. In fact, until now, the hypothesis was that the proteolytic processing per se is more important for HCF-1C function than the proteolytic processing region. But I show that processing per se is not sufticient to rescue multinucleation, but that the HCF-lpm sequence itself is crucial. This discovery leads to the conclusion that the I-ICF-1pRO repeats have an additional function important for HCF-le function. From the studies of others, one potential function of the HCF-lrxo tepeats is as a binding site for O-link NAcetyl glycosamine tansferase (OGT) to glycosylate an HCF-1n-sunbunit region called the Basic region. This new function suggests the Basic region of HCF-1n is also implicated in the communication between the two subunits. This inter-subunit communication was analyzed in more detail with the studies of the Pl34S mutation and the residues 382-450 region of HCF-l that when removed prevents HCF-l subunit association. I demonstrate that the point mutation also leads to a binucleation defect in Hela cells as well as in the tsBN67 cells. In addition, the effect of this mutation on the regulation of HCF-1c activity seems to interfere with that of the HCF-lpgg repeats because the sum of the deletion of the proteolytic processing region and the point mutation surprisingly leads to re-establishment of correct cytokinesis. The study of the 382-450 HCF-lN region also yielded surprising results. This region important for the association of the two subunits is also important for both HCF-1c function in M phase and G1 phase progression. Thus, I have discovered two main functions of this region: its role in the regulation of HCF-lc function in M phase and its involvement in the regulation of G1/S phase ?- an HCF-1n function. These results support the importance of inter-subunit communication in HCF-1 functions. My research illuminates the understanding of the interaction of the two subunits by showing that the whole HCF-1n subunit is involved in the inter-subunit communication in order to regulate HCF-1c function. For this work, I was concentrated on the study of cytokinesis; the first phenotype showing the role of HCF-1c in the M phase. Then, I extended the study of the M phase with analysis of steps earlier to cytokinesis. Because some defects in the chromosome segregation was already described in the absence of HCF-1, I decided to continue the study of M phase by checking effects on the chromosome segregation. I showed that the HCF-1n subunit and HCF-1pro repeats are both important for this key step of M phase. I show that the binucleation phenotype resulting from deletion or mutation in HCF-1pro repeats, Pl34S point mutation or the lack of the region 382-450 are correlated with micronuclei, and chromosome segregation and alignment defects. This suggests that HCF«lç already regulates M phase during an early step and could be involved in the complex regulation of chromosome segregation. Because one of the major roles of HCF-1 is to be a transcription regulator, I also checked the capacity of HCF-1 to bind to the chromatin in my different cell lines. All my recombinant proteins can bind the chromatin, except for, as previously described, the HCF-1 with the P134S point mutation, This suggests that the binding of HCF-1 to the chromatin is not dependant to the Basic and proteolytic regions but more to the Kelch domain. Thus, if the function of HCF-ig in M phase is dependant to its chromatin association, the intercommunication and the proteolytic region are not involved in the ability to bind to the chromatin but more to bind to the right place of the chromatin or to be associated with the co-factors. Résumé : L'étude de l'infection par le virus Herpes Simplex (HSV) a permis la découverte de la protéine HCF-1 (Host-Cell Factor). HCF-1 est une des protéines cellulaires qui font partie du complexe induit par VP16 ; ce complexe est la clef pour l'activation de la phase lytique de HSV. Afin de manipuler les cellules infectées, le complexe induit pas le VPIG devrait donc cibler les protéines importantes pour la régulation cellulaire, telles que la protéine HCF-1. Cette dernière s'avère donc être un senseur pour la cellule et devrait également jouer un rôle de régulation lors des différentes phases du cycle cellulaire. Chez l'humain, HCF-1 a la particularité de devoir passer par une phase de maturation pour devenir active. Lors de cette maturation, la protéine subit une coupure protéolytique au niveau de six répétitions composées de 26 acides aminés, appelé HCF-1pro repeats. Cette coupure engendre la formation d'un complexe formé de deux sous-unités, HCF-1n et HCF-1c, associées l'une à l'autre de façon stable. Enlever la sous-unité HCF-IN ou C entraîne respectivement des défauts dans la phase G1 et M. Nous pensons donc que HCF-1 forme un complexe hétérodimérique afin de permettre la communication entre les molécules impliquées dans la régulation des différentes phases du cycle cellulaire. Cette hypothèse est déduite suite à deux études: l'une réalisée sur la lignée cellulaire tsBN67 et l'autre portant sur l'inhibition de la maturation protéolytique. La lignée cellulaire tsBN67, sensible à la température, porte la mutation Pl 345 dans la sous-unité HCF-1n. Cette mutation, en plus d'occasionner des défauts dans la phase G1 (défauts liés à la sous-unité HCF-1N), a aussi pour conséquence d'entrainer des défauts dans la phase M, défauts similaires à ceux dus a la perte de la sous-unité HCF-1c. Quant à la maturation protéolytique, l'absence de la région de la protéolyse provoque la binucléation, défaut lié à la cytokinèse, indiquant la perte de la fonction de la sous-unité HCF-1c. Au cours de ma thèse, j'ai démontré que des mutations dans les HCF-1=no repeats, qui bloquent la protéolyse, engendrent la binucléation ; cependant ce défaut peut être corrigé pas l'ajout d'un HCF-1pro repeat dans un HCF-1 ne contenant pas la région protéolytique. Ces résultats soutiennent l'idée que la région protéolytique est importante pour le bon fonctionnement de HCF-1c. En réalité jusqu'a maintenant on supposait que le mécanisme de coupure était plus important que la région impliquée pour la régulation de la fonction de HCF-1;. Mais mon étude montre que la protéolyse n'est pas suffisante pour éviter la binucléation ; en effet, les HCF-1pro repeats semblent jouer le rôle essentiel dans le cycle cellulaire. Cette découverte conduit à la conclusion que les HCF-1pro repeats ont sûrement une fonction autre qui serait cruciale pour la foncton de HCF-1c. Une des fonctions possibles est d'être le site de liaison de l'O-linked N-acetylglucosamine transférase (OGT) qui glycosylerait la région Basique de HCF-1n. Cette nouvelle fonction suggère que la région Basique est aussi impliquée dans la communication entre les deux sous- unités. L'intercommunication entre les deux sous-unités ai été d'ailleurs analysée plus en détail dans mon travail à travers l'étude de la mutation Pl34S et de la région 382-450, essentielle pour l'association des deux sous»unités. J'ai ainsi démontré que la mutation P134S entraînait aussi des défauts dans la cytokinése dans la lignée cellulaire Hela, de plus, son influence sur HCF-1c semble interférer avec celle de la région protéolytique. En effet, la superposition de ces deux modifications dans HCF-1 conduit au rétablissement d'une cytokinése correcte. Concernant la région 382 à 450, les résultats ont été assez surprenants, la perte de cette région provoque l'arrêt du cycle en G1 et la binucléation, ce qui tend à prouver son importance pour le bon fonctionnement de HCF-1n et de HCF-1c. Cette découverte appuie par conséquent l'hypotl1èse d'une intercommunicatzion entre les deux sous-unités mettant en jeu les différentes régions de HCF-1n. Grâce à mes recherches, j'ai pu améliorer la compréhension de l'interaction des deux sous-unités de HCF-1 en montrant que toutes les régions de HCF-1n sont engagées dans un processus d'intercommunication, dont le but est de réguler l'action de HCF-1c. J'ai également mis en évidence une nouvelle étape de la maturation de HCF-1 qui représente une phase importante pour l'activation de la fonction de HCF-1c. Afin de mettre à jour cette découverte, je me suis concentrée sur l'étude de l'impact de ces régions au niveau de la cytokinése qui fut le premier phénotype démontrant le rôle de HCF-1c dans la phase M. A ce jour, nous savons que HCF-1c joue un rôle dans la cytokinèse, nous ne connaissons pas encore sa fonction précise. Dans le but de cerner plus précisément cette fonction, j'ai investigué des étapes ultérieures ai la cytokinèse. Des défauts dans la ségrégation des chromosomes avaient déjà été observés, ai donc continué l'étude en prouvant que HCF-1n et les HCF-1pro repeats sont aussi importants pour le bon fonctionnement de cette étape clef également régulée par HCF-1c. J' ai aussi montré que la région 382-450 et la mutation P134S sont associées à un taux élevé de micronoyaux, de défauts dans la ségrégation des chromosomes. L'une des fonctions principales de HCF-1 étant la régulation de la transcription, j'ai aussi contrôlé la capacité de HCF-1 à se lier à la chromatine après insertion de mutations ou délétions dans HCF-1n et dans la région protéolytique. Or, à l'exception des HCF-1 contenant la mutation P134S, la sous-unité HCF-1c des HCF-1 tronquées se lie correctement à la chromatine. Cette constatation suggère que la liaison entre HCF-1c et chromatine n'est pas dépendante de la région Basique ou Protéolytique mais peut-être vraisemblablement de la région Kelch. Donc si le rôle de HCF-1c est dépendant de sa capacité â activer la transcription, l'intercommunication entre les deux sous-unités et la région protéolytique joueraient un rôle important non pas dans son habileté à se lier à la chromatine, mais dans la capacité de HCF-1 à s'associer aux co-facteurs ou à se placer sur les bonnes régions du génome.

ALDH1A3 loss of function causes bilateral anophthalmia/microphthalmia and hypoplasia of the optic nerve and optic chiasm.

The major active retinoid, all-trans retinoic acid, has long been recognized as critical for the development of several organs, including the eye. Mutations in STRA6, the gene encoding the cellular receptor for vitamin A, in patients with Matthew-Wood syndrome and anophthalmia/microphthalmia (A/M), have previously demonstrated the importance of retinol metabolism in human eye disease. We used homozygosity mapping combined with next-generation sequencing to interrogate patients with anophthalmia and microphthalmia for new causative genes. We used whole-exome and whole-genome sequencing to study a family with two affected brothers with bilateral A/M and a simplex case with bilateral anophthalmia and hypoplasia of the optic nerve and optic chiasm. Analysis of novel sequence variants revealed homozygosity for two nonsense mutations in ALDH1A3, c.568A>G, predicting p.Lys190*, in the familial cases, and c.1165A>T, predicting p.Lys389*, in the simplex case. Both mutations predict nonsense-mediated decay and complete loss of function. We performed antisense morpholino (MO) studies in Danio rerio to characterize the developmental effects of loss of Aldh1a3 function. MO-injected larvae showed a significant reduction in eye size, and aberrant axonal projections to the tectum were noted. We conclude that ALDH1A3 loss of function causes anophthalmia and aberrant eye development in humans and in animal model systems.

Diagnosis of muscular dystrophies at the nanometer scale

The diagnosis of muscular dystrophies or the assessment of the functional benefit of gene or cell therapies can be difficult, especially for poorly accessible muscles, and it often lacks a singlefiber resolution. In the present study, we evaluated whether muscle diseases can be diagnosed from small biopsies using atomic force microscopy (AFM). AFM was shown to provide a sensitive and quantitative description of the resistance of normal and dystrophic myofibers within live muscle tissues explanted from Duchenne mdx mice. The rescue of dystrophin expression by gene therapy approaches led to the functional recovery of treated dystrophic muscle fibers, as probed using AFM and by in situ wholemuscle strength measurements. Comparison of muscles treated with viral or non-viral vectors indicated that the efficacy of the gene transfer approaches could be distinguished with a single myofiber resolution. This indicated full correction of the resistance to deformation in nearly all of the muscle fibers treated with an adeno-associated viral vector that mediates exon-skipping on the dystrophin mRNA. Having shown that AFM can provide a quantitative assessment of the expression of muscle proteins and of the muscular function in animal models, we assessed myofiber resistance in the context of human muscular dystrophies and myopathies. Thus, various forms of human Becker syndrome can also be detected using AFM in blind studies of small frozen biopsies from human patients. Interestingly, it also allowed the detection of anomalies in a fraction of the muscle fibers from patients showing a muscle weakness that could not be attributed to a known molecular or genetic defect. Overall, we conclude that AFM may provide a useful method to complement current diagnosis tools of known and unknown muscular diseases, in research and in a clinical context.

Loss-of-Function Mutations in PTPN11 Cause Metachondromatosis, but Not Ollier Disease or Maffucci Syndrome.

Metachondromatosis (MC) is a rare, autosomal dominant, incompletely penetrant combined exostosis and enchondromatosis tumor syndrome. MC is clinically distinct from other multiple exostosis or multiple enchondromatosis syndromes and is unlinked to EXT1 and EXT2, the genes responsible for autosomal dominant multiple osteochondromas (MO). To identify a gene for MC, we performed linkage analysis with high-density SNP arrays in a single family, used a targeted array to capture exons and promoter sequences from the linked interval in 16 participants from 11 MC families, and sequenced the captured DNA using high-throughput parallel sequencing technologies. DNA capture and parallel sequencing identified heterozygous putative loss-of-function mutations in PTPN11 in 4 of the 11 families. Sanger sequence analysis of PTPN11 coding regions in a total of 17 MC families identified mutations in 10 of them (5 frameshift, 2 nonsense, and 3 splice-site mutations). Copy number analysis of sequencing reads from a second targeted capture that included the entire PTPN11 gene identified an additional family with a 15 kb deletion spanning exon 7 of PTPN11. Microdissected MC lesions from two patients with PTPN11 mutations demonstrated loss-of-heterozygosity for the wild-type allele. We next sequenced PTPN11 in DNA samples from 54 patients with the multiple enchondromatosis disorders Ollier disease or Maffucci syndrome, but found no coding sequence PTPN11 mutations. We conclude that heterozygous loss-of-function mutations in PTPN11 are a frequent cause of MC, that lesions in patients with MC appear to arise following a "second hit," that MC may be locus heterogeneous since 1 familial and 5 sporadically occurring cases lacked obvious disease-causing PTPN11 mutations, and that PTPN11 mutations are not a common cause of Ollier disease or Maffucci syndrome.

Loss of ATF2 function leads to cranial motoneuron degeneration during embryonic mouse development.

The AP-1 family transcription factor ATF2 is essential for development and tissue maintenance in mammals. In particular, ATF2 is highly expressed and activated in the brain and previous studies using mouse knockouts have confirmed its requirement in the cerebellum as well as in vestibular sense organs. Here we present the analysis of the requirement for ATF2 in CNS development in mouse embryos, specifically in the brainstem. We discovered that neuron-specific inactivation of ATF2 leads to significant loss of motoneurons of the hypoglossal, abducens and facial nuclei. While the generation of ATF2 mutant motoneurons appears normal during early development, they undergo caspase-dependent and independent cell death during later embryonic and foetal stages. The loss of these motoneurons correlates with increased levels of stress activated MAP kinases, JNK and p38, as well as aberrant accumulation of phosphorylated neurofilament proteins, NF-H and NF-M, known substrates for these kinases. This, together with other neuropathological phenotypes, including aberrant vacuolisation and lipid accumulation, indicates that deficiency in ATF2 leads to neurodegeneration of subsets of somatic and visceral motoneurons of the brainstem. It also confirms that ATF2 has a critical role in limiting the activities of stress kinases JNK and p38 which are potent inducers of cell death in the CNS.

Autosomal Recessive Posterior Microphthalmos/Nanophthalmos is Caused by Loss-of-function Mutations in LOC646960, a Novel Gene Encoding a Trypsin-like Serine Protease

Purpose: Posterior microphthalmos (MCOP)/nanophthalmos (NNO) is a developmental anomaly characterized by extreme hyperopia due to short axial length. The population of the Faroe Islands shows a high prevalence of an autosomal recessive form (arMCOP). The gene mutated in arMCOP is not yet known.Methods: Genetic mapping by linkage analysis using microsatellite and single nucleotide polymorphisms, mutation analysis by PCR and sequencing, molecular modellingResults: Having refined the position of the disease locus (MCOP6) in an interval of 250 kb in chromosome 2q37.1 in Faroese families, we detected 3 mutations in a novel gene, LOC646960: Patients of 10 different Faroese families were either homozygous (n=22) for c.926G>C (p.Trp309Ser) or compound heterozygous (n=6) for c.926G>C and c.526C>G (p.Arg176Gly), whereas a homozygous 1 bp duplication (c.1066dupC) was identified in patients with arNNO from a Tunisian family. In two unrelated patients with MCOP, no LOC646960 mutation was found. LOC646960 is expressed in the human adult retina and RPE. The expression of the mouse homologue in the eye can be first detected at E17 and is highest in adults. The predicted protein is a 603 amino acid long secreted trypsin-like serine peptidase. c.1066dupC should result in a functional null allele. Molecular modelling of the p.Trp309Ser mutant suggests that both affinity and reactivity of the enzyme towards in vivo substrates are substantially reduced.Conclusions: Postnatal growth of the eye is important for proper development of the refractive components (emmetropization), and is mainly due to elongation of the posterior segment from 10-11 mm at birth to 15-16 mm at the age of 13 years. Optical defocus leads to changes in axial length by moving the retina towards the image plane. arMCOP may theoretically be explained, in line with the expression pattern of LOC646960, by a postnatal growth retardation of the posterior segment.