University of Modena and Reggio Emilia

About: University of Modena and Reggio Emilia is a education organization based out in Modena, Italy. It is known for research contribution in the topics: Population & Medicine. The organization has 8179 authors who have published 22418 publications receiving 671337 citations. The organization is also known as: Università degli Studi di Modena e Reggio Emilia & Universita degli Studi di Modena e Reggio Emilia.

Loss of Wnt4 and Foxl2 leads to female-to-male sex reversal extending to germ cells

Abstract: The discovery that the SRY gene induces male sex in humans and other mammals led to speculation about a possible equivalent for female sex. However, only partial effects have been reported for candidate genes experimentally tested so far. Here we demonstrate that inactivation of two ovarian somatic factors, Wnt4 and Foxl2, produces testis differentiation in XX mice, resulting in the formation of testis tubules and spermatogonia. These genes are thus required to initiate or maintain all major aspects of female sex determination in mammals. The two genes are independently expressed and show complementary roles in ovary morphogenesis. In addition, forced expression of Foxl2 impairs testis tubule differentiation in XY transgenic mice, and germ cell-depleted XX mice lacking Foxl2 and harboring a Kit mutation undergo partial female-to-male sex reversal. The results are all consistent with an anti-testis role for Foxl2. The data suggest that the relative autonomy of the action of Foxl2, Wnt4 and additional ovarian factor(s) in the mouse should facilitate the dissection of their respective contributions to female sex determination.

Latent Space Autoregression for Novelty Detection

Abstract: Novelty detection is commonly referred as the discrimination of observations that do not conform to a learned model of regularity. Despite its importance in different application settings, designing a novelty detector is utterly complex due to the unpredictable nature of novelties and its inaccessibility during the training procedure, factors which expose the unsupervised nature of the problem. In our proposal, we design a general unsupervised framework where we equip a deep autoencoder with a parametric density estimator that learns the probability distribution underlying the latent representations with an autoregressive procedure. We show that a maximum likelihood objective, optimized in conjunction with the reconstruction of normal samples, effectively acts as a regularizer for the task at hand, by minimizing the differential entropy of the distribution spanned by latent vectors. In addition to providing a very general formulation, extensive experiments of our model on publicly available datasets deliver on-par or superior performances if compared to state-of-the-art methods in one-class and in video anomaly detection settings. Differently from our competitors, we remark that our proposal does not make any assumption about the nature of the novelties, making our work easily applicable to disparate contexts.

Concordance between four European centres of PET reporting criteria designed for use in multicentre trials in Hodgkin lymphoma

Abstract: Purpose To determine if PET reporting criteria for the Response Adapted Treatment in Hodgkin Lymphoma (RATHL) trial could enable satisfactory agreement to be reached between ‘core’ laboratories operating in different countries.

3DPeS: 3D people dataset for surveillance and forensics

Abstract: The interest of the research community in creating reference datasets for performance analysis is always very high. Although new datasets, collecting large amounts of video footage are spreading in surveillance and forensics, few bench-marks with annotation data are available for testing specific tasks and especially for 3D/multi-view analysis. In this paper we present 3DPeS, a new dataset for 3D/multi- view surveillance and forensic applications. This has been designed for discussing and evaluating research results in people re-identification and other related activities (people detection, people segmentation and people tracking). The new assessed version of the dataset contains hundreds of video sequences of 200 people taken from a multi-camera distributed surveillance system over several days, with different light conditions; each person is detected multiple times and from different points of view. In surveillance scenarios, the dataset can be exploited to evaluate people reacquisition, 3D body models and people activity reconstruction algorithms. In forensics it can be adopted too, by relaxing some constraints (e.g. real time) and neglecting some information (e.g. calibration). Some results on this new dataset are presented using state of the art methods for people re-identification as a benchmark for future comparisons.

Characterization of PKD Protein-Positive Exosome-Like Vesicles

Abstract: Proteins associated with autosomal dominant and autosomal recessive polycystic kidney disease (polycystin-1, polycystin-2, and fibrocystin) localize to various subcellular compartments, but their functional site is thought to be on primary cilia. PC1+ vesicles surround cilia in Pkhd1(del2/del2) mice, which led us to analyze these structures in detail. We subfractionated urinary exosome-like vesicles (ELVs) and isolated a subpopulation abundant in polycystin-1, fibrocystin (in their cleaved forms), and polycystin-2. This removed Tamm-Horsfall protein, the major contaminant, and subfractionated ELVs into at least three different populations, demarcated by the presence of aquaporin-2, polycystin-1, and podocin. Proteomic analysis of PKD ELVs identified 552 proteins (232 not yet in urinary proteomic databases), many of which have been implicated in signaling, including the molecule Smoothened. We also detected two other protein products of genes involved in cystic disease: Cystin, the product of the mouse cpk locus, and ADP-ribosylation factor-like 6, the product of the human Bardet-Biedl syndrome gene (BBS3). Our proteomic analysis confirmed that cleavage of polycystin-1 and fibrocystin occurs in vivo, in manners consistent with cleavage at the GPS site in polycystin-1 and the proprotein convertase site in fibrocystin. In vitro, these PKD ELVs preferentially interacted with primary cilia of kidney and biliary epithelial cells in a rapid and highly specific manner. These data suggest that PKD proteins are shed in membrane particles in the urine, and these particles interact with primary cilia.