11 to 20 of 64 Results
May 4, 2022 - Replication Data for Givinostat as metabolic enhancer reverting mitochondrial biogenesis deficit in Duchenne Muscular Dystrophy
Giovarelli, Matteo, 2022, "Raw data for Figure 4 for Givinostat as metabolic enhancer reverting mitochondrial biogenesis deficit in Duchenne Muscular Dystrophy", https://doi.org/10.13130/RD_UNIMI/IV6XJE, UNIMI Dataverse, V1
Figure 4 raw data |
May 4, 2022 - Replication Data for Givinostat as metabolic enhancer reverting mitochondrial biogenesis deficit in Duchenne Muscular Dystrophy
Giovarelli, Matteo, 2022, "Raw data for Figure 5 for Givinostat as metabolic enhancer reverting mitochondrial biogenesis deficit in Duchenne Muscular Dystrophy", https://doi.org/10.13130/RD_UNIMI/RKVSUH, UNIMI Dataverse, V1
Figure 5 raw data |
May 4, 2022 - Replication Data for Givinostat as metabolic enhancer reverting mitochondrial biogenesis deficit in Duchenne Muscular Dystrophy
Giovarelli, Matteo, 2022, "Supplementary raw data 2 for Givinostat as metabolic enhancer reverting mitochondrial biogenesis deficit in Duchenne Muscular Dystrophy", https://doi.org/10.13130/RD_UNIMI/SZSJNQ, UNIMI Dataverse, V1
Suppl 2 raw data |
May 4, 2022 - Replication Data for Givinostat as metabolic enhancer reverting mitochondrial biogenesis deficit in Duchenne Muscular Dystrophy
Giovarelli, Matteo, 2022, "Supplementary raw data 1 for Givinostat as metabolic enhancer reverting mitochondrial biogenesis deficit in Duchenne Muscular Dystrophy", https://doi.org/10.13130/RD_UNIMI/KFIAYF, UNIMI Dataverse, V1
Suppl 1 raw data |
Feb 1, 2022 - NATURE
Mapelli, Francesca, 2022, "Replication Data for: "A Meta-Analysis Approach to Defining the Culturable Core of Plant Endophytic Bacterial Communities"", https://doi.org/10.13130/RD_UNIMI/TMTT5S, UNIMI Dataverse, V1, UNF:6:ez4mCnyWwC4afNYs64HkQA== [fileUNF]
The dataset was generated by a bibliographic research, and it includes information retrieved from 148 scientific articles. All articles aimed at the isolation of cultivable bacteria from plant endosphere. The considered scientific articles were published from 1997 and 2020. |
Jan 5, 2022 - ncRNAging
Battaglia, Cristina, 2022, "Investigation on ncRNA in senescence in senescence cellular models", https://doi.org/10.13130/RD_UNIMI/OXXJ1N, 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... |
Nov 26, 2021 - FET-NoPEST
Pesaresi, Paolo, 2021, "Deliveralbe D1.2", https://doi.org/10.13130/RD_UNIMI/DZPCCP, UNIMI Dataverse, V1
A description of two different methods for the in vitro cultivation of P. viticola |
Nov 26, 2021 - FET-NoPEST
Pesaresi, Paolo, 2021, "Deliverable D1.3", https://doi.org/10.13130/RD_UNIMI/ZG20OG, UNIMI Dataverse, V1
A detailed description of the work done with respect to the cell wall structure of oomycetes at the center of NoPest |
Nov 26, 2021 - FET-NoPEST
Pesaresi, Paolo, 2021, "Deliverable D2.2", https://doi.org/10.13130/RD_UNIMI/I1J0WK, UNIMI Dataverse, V1
A detailed description of the yeast two-hybrid screenings, the baits and the libraries used, together with the identified peptides are provided. |
Nov 26, 2021 - FET-NoPEST
Pesaresi, Paolo, 2021, "Deliverable 3.1", https://doi.org/10.13130/RD_UNIMI/MVMVGA, UNIMI Dataverse, V1
We provide the subset of peptides selected for the chemical synthesis and antimicrobial assays. A description of the selection criteria is also provided |