Aging is described as a gradual decline in cellular functions, eventually leading to tissue dysfunctions. Thus age is considered a risk factor for several pathologies, e.g. cardiovascular and neurodegenerative diseases. The prevention of age-related diseases and the promotion of health span are primary goals of the current research. An urgent problem to solve is to clarify the molecular mechanisms that drive the “physiological” aging to pathology. In this frame, we propose a multidisciplinary approach that will combine biological and computational integrative approaches to elucidate the non-coding RNA regulatory networks that orchestrate senescence and age-associated processes.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 1 of 1 Result
Jan 5, 2022
Battaglia, Cristina, 2022, "Investigation on ncRNA in senescence in senescence cellular models",, UNIMI Dataverse, V1
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 facto...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.