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    601 research outputs found

    Species data with variables for "Identifying climate refugia for high-elevation Alpine birds under current climate warming predictions"

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    These files include species location and background points used for Species Distribution Models, with relative values of environmental variables used in the modelling procedure. Files are provided in CSV format and in RDS format (to be used in R for model running). The txt file includes the code for running the main models (MaxEnt) shown in the paper and used to identify climate refugia. The data have been provided by different institutions and have been used under a specific licence for the current study; restrictions hence apply to their availability. Data are made available by the authors in agreement with providing insitutions, but any further use requires the permission of the third parties involved in data provision. For rock ptarmigan, which is a quarry species in many Alpine regions despite the concerning conservation status, coordinates are not provided because of conservation reasons. All data have a spatial resolution of 1 km, and the coordinate reference system is EPSG 3035. See the text of the associated paper for further details

    FISH-AI_WP1_1.1_D01_Management commettee procedures

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    This dataset collects the deliverable 1.1 D01 and the related files. Briefly, the topics are: constitution of a Management Committee (MC); establishment of procedures and meeting calendar; one annual meeting back-to-back with the conference of a relevant scientific society; meetings every 4 months or teleconferences when required, for results updates, problem solving, progress assessment and meeting

    Investigation on ncRNA in senescence in senescence cellular models

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    Cellular senescence is a hallmark of aging and is the result of a variety of stresses, such as telomere attrition, DNA damage and mitochondrial dysfunction. Moreover, senescent cells display a typical secretory phenotype, which involves the secretion of several inflammatory factors, as well as increased levels of beta-galactosidase activity in the lysosomes. Senescent cells accumulate during aging and have been implicated in promoting a variety of age-related diseases, including neurodegenerative diseases. Autophagy, the degradation system whereby the cells recycle dysfunctional proteins and damaged organelles, is one of the processes affected by senescence, but it is also able to induce senescence. Among the different mechanisms controlling the senescence status and the autophagic process, a key role of non-coding RNAs (ncRNAs), both miRNAs and long non-coding RNAs (lncRNAs), is now clearly emerging. AIM OF THE PROJECT With the aim to explore a possible dysregulation of ncRNAs in senescence, we will measured by qPCR the levels of a set of miRNAs and lncRNAs associated to autophagy, senescence and aging in different cellular models of replicative and chemical induced senescence. SUPPORTED BY The investigation was supported by PSD2020, University of Milan to Cristina Battaglia and Marco Venturin

    Replication Data for: Optimized Assignment Patterns in Mobile Edge Cloud Networks

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    Replication data for "Optimized assignment patterns in Mobile Edge Cloud networks." Computers & Operations Research 106 (2019): 246-259. The full description of the dataset is given in the README file

    Tables and figures for "POR polymorphisms are associated with 21 hydroxylase deficiency"

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    Supplemental Figure 1 and Supplemental Table for "POR POLYMORPHISMS AFFECT CLINICAL FEATURES IN PATIENTS WITH 21 HYDROXYLASE DEFICIENCY" by Pecori Giraldi, Einaudi, Sesta, Verna, Messina, Manieri, Menegatti, Ghizzon

    Replication Data for Changes of RAS pathway phosphorylation in lymphoblastoid cell lines from Noonan syndrome patients carrying hypomorphic variants in two NS genes

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    This dataset include the LC-MS/MS proteomics and phosphoproteomics datasets of changed proteins generated in the study: "Changes of RAS pathway phosphorylation in lymphoblastoid cell lines from Noonan syndrome patients carrying hypomorphic variants in two NS genes" by Viviana Tritto, Daniele Capitanio, Cecilia Gelfi and Paola Riva. Data were generated by LC-ESI-MS/MS with label-free quantitation. Mass spectra were analyzed using MaxQuant software (Max-Planck-Institute of Biochemistry, Munich, Germany, version 1.6.3.3). Statistical analyses were performed using the Perseus software (Max Planck Institute of Biochemistry, Munich, Germany, version 1.4.0.6). For statistical analysis, ANOVA and Tukey post-hoc test with a p-value threshold of 0.05 was applied. To exclude the presence of false positives from the analysis, Benjamini–Hochberg false discovery rate test was applied

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