A5063682183- Smart Grid Energy Management
- IoT and Edge/Fog Computing
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Genetics, Bioinformatics, and Biomedical Research
- Genetic factors in colorectal cancer
- Smart Grid Security and Resilience
- Scientific Computing and Data Management
- Smart Cities and Technologies
- Distributed and Parallel Computing Systems
- Gene expression and cancer classification
- Colorectal Cancer Treatments and Studies
- Pancreatic and Hepatic Oncology Research
- 3D Modeling in Geospatial Applications
- Genomics and Chromatin Dynamics
- Cancer Genomics and Diagnostics
- Acute Myeloid Leukemia Research
- Semantic Web and Ontologies
- Epigenetics and DNA Methylation
- Single-cell and spatial transcriptomics
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- Liver physiology and pathology
- Data Mining Algorithms and Applications
- Liver Disease Diagnosis and Treatment
- Molecular Biology Techniques and Applications
Illumina (United States)
2024
Columbia University
2018-2023
Columbia University Irving Medical Center
2021-2022
Polytechnic University of Turin
2014-2022
Torino e-district
2017
University of Turin
2015
Stromal content heavily impacts the transcriptional classification of colorectal cancer (CRC), with clinical and biological implications. Lineage-dependent stromal components could therefore dominate over more subtle expression traits inherent to cells. Since in patient-derived xenografts (PDXs) cells human tumour are substituted by murine counterparts, here we deploy human-specific profiling CRC PDXs assess cancer-cell intrinsic features. Through this approach, identify five subtypes (CRIS)...
This paper presents an Internet-of-Things software infrastructure that enables energy management and simulation of new control policies in a city district. The proposed platform the interoperability correlation (near-)real-time building profiles with environmental data from sensors as well grid models. In smart context, this fulfills 1) integration heterogeneous sources at district level, 2) novel level aimed optimization usage accounting also for its impact on comfort. has been deployed...
Abstract We utilized forebrain organoids generated from induced pluripotent stem cells of patients with a syndromic form Autism Spectrum Disorder (ASD) homozygous protein-truncating mutation in CNTNAP2 , to study its effects on embryonic cortical development. Patients this present clinical characteristics brain overgrowth. Patient-derived displayed an increase volume and total cell number that is driven by increased neural progenitor proliferation. Single-cell RNA sequencing revealed...
Fibrosis contributes to ~45% of deaths in western countries. In chronic liver disease, fibrosis is a major factor determining outcomes, but efficient antifibrotic therapies are lacking. Although platelet-derived growth and transforming factor–β constitute key fibrogenic mediators, they do not account for the well-established link between cell death liver. Here, we hypothesized that damage-associated molecular patterns (DAMPs) may epithelial fibrogenesis injured DAMP receptor screening...
Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare and aggressive hematologic malignancy for which there still no effective therapy. In order to identify genetic alterations useful new treatment design, we used whole-exome sequencing analyze 14 BPDCN patients the patient-derived CAL-1 line. The functional enrichment analysis of mutational data reported epigenetic regulatory program be most significantly undermined (P
Long-range enhancers govern the temporal and spatial control of gene expression; however, mechanisms that regulate enhancer activity during normal malignant development remain poorly understood. Here, we demonstrate a role for aberrant chromatin accessibility in regulation MYC expression T-cell lymphoblastic leukemia (T-ALL). Central to this process, NOTCH1-MYC (N-Me), long-range T cell-specific enhancer, shows dynamic changes specification maturation an high degree mouse human T-ALL cells....
Abstract Adults and children afflicted with the 22q11.2 deletion syndrome (22q11.2DS) exhibit cognitive, social, emotional impairments, are at significantly heightened risk for schizophrenia (SCZ). The impact of this on early human brain development, however, has remained unclear. Here we harness organoid models developing cerebral cortex, cultivated from subjects 22q11.2DS SCZ, as well unaffected control samples, to identify cell-type-specific developmental abnormalities arising genomic...
Abstract Background Copy number variation (CNV) is a key genetic characteristic for cancer diagnostics and can be used as biomarker the selection of therapeutic treatments. Using data sets established in our previous study, we benchmark performance CNV calling by six most recent commonly software tools on their detection accuracy, sensitivity, reproducibility. In comparison to other orthogonal methods, such microarray Bionano, also explore consistency across different technologies...
The NF-κB family of transcription factors and the Ras small GTPases are important mediators proproliferative signaling that drives tumorigenesis carcinogenesis. κB-Ras proteins were previously shown to inhibit both activation through independent mechanisms, implicating them as tumor suppressors with potentially broad relevance human cancers. In this study, we have used two mouse models establish for tumorigenesis. Additionally, utilized a pan-cancer bioinformatics analysis explore role in...
Nowadays, a huge amount of high throughput molecular data are available for analysis and provide novel useful insights into complex biological systems, through the acquisition high-resolution picture their status in defined experimental conditions. In this context, microarrays powerful tool to analyze thousands gene expression values with single experiment. A number approaches have been developed detecting genes highly correlated diseases, selecting that exhibit similar behavior under...
Data management has been one of the most interesting research fields within smart city framework over last years, with aim optimizing energy saving at district level. This topic involves creation a 3D model considering heterogeneous datasets, such as Building Information Models (BIMs), Geographical Systems (GISs) and System (SIMs), taking into account both buildings network. Through common platform, data sharing was allowed starting from needs users, public administrator, building manager...
Following the Smart City views, citizens, policy makers and energy distribution companies need a reliable scalable infrastructure to manage analyse consumption data in city district context. In order move forward this view, model is needed, which takes into accoun
Abstract Recent work built on published transcriptional subtypes of colorectal cancer (CRC) has shown that tumor stromal content heavily impacts CRC classification, with clinical and biological implications. Lineage-dependent components origin could therefore dominate over more subtle, yet relevant, gene expression traits inherent to cells. Based the notion in patient-derived xenografts (PDXs) cells human are substituted by their murine counterparts, we assessed cancer-cell intrinsic...
Thermal storage is very important in modern district heating networks order to increase the share of waste heat and produced through renewable sources cogeneration. The role thermal even more case Mediterranean areas, where climate user behavior cause high peak requests morning. Nevertheless installation large volumes not always feasible, especially dense urban therefore alternative options are investigated. One these virtual storage. This consists proposing changes request profiles some...
The introduction of smart low-cost sensing (and actuating) devices enabled the recent diffusion technological products within Internet Things paradigm. In a city district context, such are crucial for visualization and simulation energy consumption trends, to increase distribution network efficiency promote user awareness. Nevertheless, unlock potential this technology, many challenges have be faced at level due current lack interoperability between heterogeneous data sources. work, we...