PURPL and NEAT1 Long Non-Coding RNAs Are Modulated in Vascular Smooth Muscle Cell Replicative Senescence

Autor: Clara Rossi, Marco Venturin, Jakub Gubala, Angelisa Frasca, Alberto Corsini, Cristina Battaglia, Stefano Bellosta

Publikováno v: Biomedicines, Vol 11, Iss 12, p 3228 (2023)

Cellular senescence is characterized by proliferation and migration exhaustion, senescence-associated secretory phenotype (SASP), and oxidative stress. Senescent vascular smooth muscle cells (VSMCs) contribute to cardiovascular diseases and atheroscl

Externí odkaz: https://doaj.org/article/cb146c1a8a484bf4ab1aa3e65d223ff6

Candidate Genes and MiRNAs Linked to the Inverse Relationship Between Cancer and Alzheimer’s Disease: Insights From Data Mining and Enrichment Analysis

Autor: Cristina Battaglia, Marco Venturin, Aleksandra Sojic, Nithiya Jesuthasan, Alessandro Orro, Roberta Spinelli, Massimo Musicco, Gianluca De Bellis, Fulvio Adorni

Publikováno v: Frontiers in Genetics, Vol 10 (2019)

The incidence of cancer and Alzheimer’s disease (AD) increases exponentially with age. A growing body of epidemiological evidence and molecular investigations inspired the hypothesis of an inverse relationship between these two pathologies. It has

Externí odkaz: https://doaj.org/article/50ecd7196c8746aeb1eeb9bfe35a9c1b

The role of miR-103 and miR-107 in regulation of CDK5R1 expression and in cellular migration.

Autor: Silvia Moncini, Alessandro Salvi, Paola Zuccotti, Gabriella Viero, Alessandro Quattrone, Sergio Barlati, Giuseppina De Petro, Marco Venturin, Paola Riva

Publikováno v: PLoS ONE, Vol 6, Iss 5, p e20038 (2011)

CDK5R1 encodes p35, a specific activator of the serine/threonine kinase CDK5, which plays crucial roles in CNS development and maintenance. CDK5 activity strongly depends on p35 levels and p35/CDK5 misregulation is deleterious for correct CNS functio

Externí odkaz: https://doaj.org/article/da4524e8a5d6443f874754d95653b6a7

Intercomparison of Machine Learning Models for Spatial Downscaling of Daily Mean Temperature in Complex Terrain

Autor: Sudheer Bhakare, Sara Dal Gesso, Marco Venturini, Dino Zardi, Laura Trentini, Michael Matiu, Marcello Petitta

Publikováno v: Atmosphere, Vol 15, Iss 9, p 1085 (2024)

We compare three machine learning models—artificial neural network (ANN), random forest (RF), and convolutional neural network (CNN)—for spatial downscaling of temperature at 2 m above ground (T2M) from a 9 km ERA5-Land reanalysis to 1 km in a co

Externí odkaz: https://doaj.org/article/fc8260c87ef54d02a5f949e79362a9b3

Candidate Genes and MiRNAs Linked to the Inverse Relationship Between Cancer and Alzheimer's Disease: Insights From Data Mining and Enrichment Analysis

Autor: Massimo Musicco, Nithiya Jesuthasan, Alessandro Orro, Roberta Spinelli, Fulvio Adorni, Aleksandra Sojic, Cristina Battaglia, Marco Venturin, Gianluca De Bellis

Publikováno v: Frontiers in genetics 10 (2019). doi:10.3389/fgene.2019.00846
info:cnr-pdr/source/autori:Battaglia, Cristina; Venturin, Marco; Sojic, Aleksandra; Jesuthasan, Nithiya; Orro, Alessandro; Spinelli, Roberta; Musicco, Massimo; De Bellis, Gianluca; Adorni, Fulvio/titolo:Candidate Genes and MiRNAs Linked to the Inverse Relationship Between Cancer and Alzheimer's Disease: Insights From Data Mining and Enrichment Analysis/doi:10.3389%2Ffgene.2019.00846/rivista:Frontiers in genetics/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume:10
Frontiers in Genetics
Frontiers in Genetics, Vol 10 (2019)

The incidence of cancer and Alzheimer's disease (AD) increases exponentially with age. A growing body of epidemiological evidence and molecular investigations inspired the hypothesis of an inverse relationship between these two pathologies. It has be

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b56c588cf83bba663f9efef26b2e9c95
http://www.cnr.it/prodotto/i/407621