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 & Transplantation. 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.

The Hippo Pathway and YAP/TAZ–TEAD Protein–Protein Interaction as Targets for Regenerative Medicine and Cancer Treatment

Abstract: The Hippo pathway is an important organ size control signaling network and the major regulatory mechanism of cell-contact inhibition. Yes associated protein (YAP) and transcriptional co-activator with PDZ-binding motif (TAZ) are its targets and terminal effectors: inhibition of the pathway promotes YAP/TAZ translocation to the nucleus, where they interact with transcriptional enhancer associate domain (TEAD) transcription factors and coactivate the expression of target genes, promoting cell proliferation. Defects in the pathway can result in overgrowth phenotypes due to deregulation of stem-cell proliferation and apoptosis; members of the pathway are directly involved in cancer development. The pharmacological regulation of the pathway might be useful in cancer prevention, treatment, and regenerative medicine applications; currently, a few compounds can selectively modulate the pathway. In this review, we present an overview of the Hippo pathway, the sequence and structural analysis of YAP/TAZ, the known ...

Therapeutic applications of glycosaminoglycans

Abstract: Complex polysaccharides, hyaluronic acid or hyaluronan (HA), keratan sulfate (KS), chondroitin sulfates (CSs) and heparin (Hep)/heparan sulfate (HS), are a class of ubiquitous molecules exhibiting a wide range of biological functions. They are widely distributed as glycosaminoglycans (GAGs) sidechains of proteoglycans (PGs) in the extracellular matrix and at cellular level. The recent emergence of improved enzymatic and analytical tools for the study of these complex sugars has produced a virtual explosion in the field of glycomics. In particular, the study of the GAG family of polysaccharides has shed considerable light on the way in which specific carbohydrate structures modulate cellular phenotypes. In addition to the well-known therapeutic applications of some of these macromolecules, such as HA and derivatives as structure modifying molecules and possessing gel-like properties able to provide functional support for tissues, Hep as an anticoagulant and antithrombotic drug and CS in the treatment of osteoarthritis (OA), this increased understanding of GAG structure-function relationship has led to the discovery of novel pharmaceuticals for the possible treatment of serious diseases, such as cancer. In this paper, the structure and the therapeutic applications of several complex natural polysaccharides, including HA, CS/DS, Hep and their derivatives, are presented and discussed also in the light of the many questions still left unanswered, such as improved preparation and GAG-based drugs with improved properties and new possible therapeutic applications.

Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions

Abstract: Current captioning approaches can describe images using black-box architectures whose behavior is hardly controllable and explainable from the exterior. As an image can be described in infinite ways depending on the goal and the context at hand, a higher degree of controllability is needed to apply captioning algorithms in complex scenarios. In this paper, we introduce a novel framework for image captioning which can generate diverse descriptions by allowing both grounding and controllability. Given a control signal in the form of a sequence or set of image regions, we generate the corresponding caption through a recurrent architecture which predicts textual chunks explicitly grounded on regions, following the constraints of the given control. Experiments are conducted on Flickr30k Entities and on COCO Entities, an extended version of COCO in which we add grounding annotations collected in a semi-automatic manner. Results demonstrate that our method achieves state of the art performances on controllable image captioning, in terms of caption quality and diversity. Code and annotations are publicly available at: https://github.com/aimagelab/show-control-and-tell.