Rehabilitación estética y funcional de un paciente mediante cirugía plástica periodontal e implantes

El objetivo de este trabajo es seleccionar técnicas para el tratamiento de recesiones gingivales múltiples, sumado a la reposición del diente 36 faltante coordinando los principios quirúrgicos de la cirugía plástica periodontal y los de la implantología. Las dos técnicas quirúrgicas fueron efectivas en el tratamiento, logrando mejoras significativas en las coberturas de las recesiones gingivales presentes y en el nivel de inserción respectivo. El injerto de tejido conectivo proporcionó mayor cobertura radicular y un tejido queratinizado con buen espesor y altura. El colgajo desplazado coronalmente, cubrió las recesiones parcialmente devolviendo estética y mejorando la hipersensibilidad dentaria. El implante se encuentra bien ubicado y presenta óptima cicatrización de los tejidos que lo rodean.Fil: Viviani, Liliana Elena. Universidad Nacional de Cuyo. Facultad de Odontología

EGAsubmitter: A software to automate submission of nucleic acid sequencing data to the European Genome-phenome Archive

Making raw data available to the research community is one of the pillars of Findability, Accessibility, Interoperability, and Reuse (FAIR) research. However, the submission of raw data to public databases still involves many manually operated procedures that are intrinsically time-consuming and error-prone, which raises potential reliability issues for both the data themselves and the ensuing metadata. For example, submitting sequencing data to the European Genome-phenome Archive (EGA) is estimated to take 1 month overall, and mainly relies on a web interface for metadata management that requires manual completion of forms and the upload of several comma separated values (CSV) files, which are not structured from a formal point of view. To tackle these limitations, here we present EGAsubmitter, a Snakemake-based pipeline that guides the user across all the submission steps, ranging from files encryption and upload, to metadata submission. EGASubmitter is expected to streamline the automated submission of sequencing data to EGA, minimizing user errors and ensuring higher end product fidelity

EGAsubmitter: A software to automate submission of nucleic acid sequencing data to the European Genome-phenome Archive

Making raw data available to the research community is one of the pillars of Findability, Accessibility, Interoperability, and Reuse (FAIR) research. However, the submission of raw data to public databases still involves many manually operated procedures that are intrinsically time-consuming and error-prone, which raises potential reliability issues for both the data themselves and the ensuing metadata. For example, submitting sequencing data to the European Genome-phenome Archive (EGA) is estimated to take 1 month overall, and mainly relies on a web interface for metadata management that requires manual completion of forms and the upload of several comma separated values (CSV) files, which are not structured from a formal point of view. To tackle these limitations, here we present EGAsubmitter, a Snakemake-based pipeline that guides the user across all the submission steps, ranging from files encryption and upload, to metadata submission. EGASubmitter is expected to streamline the automated submission of sequencing data to EGA, minimizing user errors and ensuring higher end product fidelity

Desenvolvimento in vitro de embriões bovinos cultivados sob diferentes concentrações de soro fetal bovino e tipos celulares

The present work was carried out to evaluate the in vitro development of bovine embryo co-cultured in granulosa, oviduct, BRL or VERO cells co-cultures, supplemented with 5% or 10% of Fetal Calf Serum (FCS). Cummulus oocyte complexes were aspirated, matured and fertilized in vitro. Embryonic structures were divided into eight treatments. They were placed in culture media TCM 199 containing granulosa, oviduct, BRL or VERO cells, each of them added with 5% or 10% FCS. The conditions for the co-culture were 38.5 ºC, 5% CO2 in air and high humidity for ten consecutive days. Cleavage, blastocyst and hatching rates did not differ (p &gt; 0.05) in co-culture with primary cells (granulosa and oviduct) when FCS concentration increased from 5 to 10%. However, in continuous cells co-culture (BRL and VERO), when FCS concentration increased from 5% to 10%, the blastocyst development rate decreased significantly (p < 0.05) from 33.6 to 16.3% and from 40 to 16.5% in embryo co-culture with BRL and VERO cells, respectively.O presente trabalho foi realizado com o objetivo de avaliar o desenvolvimento in vitro de embriões bovinos co-cultivados em células da granulosa, do oviduto, BRL e VERO, suplementados com 5% ou 10% de Soro Fetal Bovino (SFB). Os complexos cummulus oócitos foram aspirados, maturados e fecundados in vitro. As estruturas embrionárias foram divididas em oito tratamentos: co-cultivo em TCM 199 contendo células da granulosa, do oviduto, BRL ou VERO adicionadas com 5% ou 10% de SFB. As condições de cultivo foram 38.5 ºC, 5% CO2 em ar e alta humidade por dez dias consecutivos. Os índices de clivagem, blastocisto e eclosão não diferiram (p &gt; 0,05) no co-cultivo com células primárias (granulosa e oviduto) quando a concentração de SFB aumentou de 5 para 10%. Entretanto, no co-cultivo com células de linhagens contínuas (BRL e VERO), quando a concentração de SFB aumentou de 5% para 10%, os índices de blastocistos diminuíram significativamente (p &lt; 0,05) de 33,6 para 16,3 % e de 40 para 16,5% nos embriões bovinos co-cultivados com células VERO e BRL, respectivamente

CONNECTOR, fitting and clustering of longitudinal data to reveal a new risk stratification system

Motivation: The transition from evaluating a single time point to examining the entire dynamic evolution of a system is possible only in the presence of the proper framework. The strong variability of dynamic evolution makes the definition of an explanatory procedure for data fitting and clustering challenging. Results: We developed CONNECTOR, a data-driven framework able to analyze and inspect longitudinal data in a straightforward and revealing way. When used to analyze tumor growth kinetics over time in 1599 patient-derived xenograft growth curves from ovarian and colorectal cancers, CONNECTOR allowed the aggregation of time-series data through an unsupervised approach in informative clusters. We give a new perspective of mechanism interpretation, specifically, we define novel model aggregations and we identify unanticipated molecular associations with response to clinically approved therapies. Availability and implementation: CONNECTOR is freely available under GNU GPL license at https://qbioturin.github.io/connector and https://doi.org/10.17504/protocols.io.8epv56e74g1b/v1

Multi-Sensor UAV Application for Thermal Analysis on a Dry-Stone Terraced Vineyard in Rural Tuscany Landscape

Italian dry-stone wall terracing represents one of the most iconic features of agricultural landscapes across Europe, with sites listed among UNESCO World Heritage Sites and FAO Globally Important Agricultural Heritage Systems (GIAHS). The analysis of microclimate modifications induced by alterations of hillslope and by dry-stone walls is of particular interest for the valuation of benefits and drawbacks of terraces cultivation, a global land management technique. The aim of this paper is to perform a thermal characterization of a dry-stone wall terraced vineyard in the Chianti area (Tuscany, Italy), to detect possible microclimate dynamics induced by dry-stone terracing. The aerial surveys were carried out by using two sensors, in the Visible (VIS) and Thermal InfraRed (TIR) spectral range, mounted on Unmanned Aerial Vehicles (UAVs), with two different flights. Our results reveal that, in the morning, vineyard rows close to dry-stone walls have statistically lower temperatures with respect to the external ones. In the afternoon, due to solar insulation, temperatures raised to the same value for each row. The results of this early study, jointly with the latest developments in UAV and sensor technologies, justify and encourage further analyses on local climatic modifications in terraced landscapes

Una propuesta innovadora para las prácticas de enseñanza de profesores de ciencias: la experiencia del curso de licenciatura en ciencias de la naturaleza (EACH-USP) en São Paulo, Brasil

Este artículo presenta la propuesta de prácticas de enseñanza que el curso de Licenciatura en Ciencias de la Naturaleza de la Universidad de San Pablo (USP) organizó para sus alumnos que se gradúan como profesores de ciencias para actuar con alumnos de enseñanza básica del grupo que en Brasil corresponde al segundo segmento, esto es, estudiantes que cursan el 6º y 9º año, con edades entre 11 y 14 años. La organización de la práctica fue idealizada y organizada por el grupo de profesoras responsables por dictar las disciplinas pedagógicas del citado curso, y busca proporcionar a los estudiantes la oportunidad de entrar en contacto con la realidad escolar, mediante la elaboración de un proyecto de prácticas de enseñanza realizado a lo largo de tres semestres en una única escuela pública. Esta propuesta es innovadora y diferente de aquellas usualmente realizadas en las licenciaturas en Brasil.In this paper the authors present a proposition for the supervision of a set of curricular activities as part of the undergraduate Natural Sciences Teaching program at the Universidade de São Paulo (USP). The undergraduate students are being trained to work as high-school science teachers (teaching adolescents aged from 10 to 13). The supervision was planned and organized by the staff responsible for the pedagogical disciplines of the curriculum and its purpose is to offer the students the opportunity to get acquainted with the reality of a public high-school where they will apply the practice along three consecutive semesters. This proposition is unique and differs from the activities usually performed in other Natural Sciences undergraduate programs in Brazil

Pathway level subtyping identifies a slow-cycling biological phenotype associated with poor clinical outcomes in colorectal cancer

Molecular stratification using gene-level transcriptional data has identified subtypes with distinctive genotypic and phenotypic traits, as exemplified by the consensus molecular subtypes (CMS) in colorectal cancer (CRC). Here, rather than gene-level data, we make use of gene ontology and biological activation state information for initial molecular class discovery. In doing so, we defined three pathway-derived subtypes (PDS) in CRC: PDS1 tumors, which are canonical/LGR5+ stem-rich, highly proliferative and display good prognosis; PDS2 tumors, which are regenerative/ANXA1+ stem-rich, with elevated stromal and immune tumor microenvironmental lineages; and PDS3 tumors, which represent a previously overlooked slow-cycling subset of tumors within CMS2 with reduced stem populations and increased differentiated lineages, particularly enterocytes and enteroendocrine cells, yet display the worst prognosis in locally advanced disease. These PDS3 phenotypic traits are evident across numerous bulk and single-cell datasets, and demark a series of subtle biological states that are currently under-represented in pre-clinical models and are not identified using existing subtyping classifiers