A5081542076- Bioinformatics and Genomic Networks
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Complex Network Analysis Techniques
- RNA modifications and cancer
- Opinion Dynamics and Social Influence
- Algorithms and Data Compression
- Planarian Biology and Electrostimulation
- Genetic Syndromes and Imprinting
- Rheumatoid Arthritis Research and Therapies
- Machine Learning in Healthcare
- Chronic Lymphocytic Leukemia Research
- Wound Healing and Treatments
- vaccines and immunoinformatics approaches
- Computational Drug Discovery Methods
- 3D Printing in Biomedical Research
- Cancer-related gene regulation
- Mental Health Research Topics
- Microbial Metabolic Engineering and Bioproduction
- Cellular Mechanics and Interactions
- MicroRNA in disease regulation
- Hepatitis C virus research
- Birth, Development, and Health
- Parkinson's Disease Mechanisms and Treatments
National Research Council
2021-2025
Istituto per le Applicazioni del Calcolo Mauro Picone
2017-2025
IAC (United States)
2021-2024
National Academies of Sciences, Engineering, and Medicine
2024
Consorzio Roma Ricerche
2021-2024
University of Chinese Academy of Sciences
2016-2023
University of Bologna
2004-2022
Karolinska Institutet
2018-2020
Shanghai Institutes for Biological Sciences
2010-2019
Karolinska University Hospital
2018
Glioblastoma multiforme (GBM) is the most common and lethal primary brain tumor in adults. We combined neuroimaging DNA microarray analysis to create a multidimensional map of gene-expression patterns GBM that provided clinically relevant insights into biology. Tumor contrast enhancement mass effect predicted activation specific hypoxia proliferation programs, respectively. Overexpression EGFR, receptor tyrosine kinase potential therapeutic target, was also directly inferred by validated an...
// Danielle Fernandes Durso 1, 2, * , Maria Giulia Bacalini 3, Claudia Sala 4, 9 Chiara Pirazzini 3 Elena Marasco 1 Massimiliano Bonafé Ítalo Faria do Valle 4 Davide Gentilini 5 Gastone Castellani Ana Caetano 6 Claudio Franceschi Paolo Garagnani 7, 8, 9, Christine Nardini 10, 11, Department of Experimental, Diagnostic and Specialty Medicine, Alma Mater Studiorum-University Bologna, Italy 2 National Counsel Technological Scientific Development (CNPq), Ministry Science Technology...
Personalized medicine (PM) moves at the same pace of data and technology calls for important changes in healthcare. New players are participating, providing impulse to PM. We review conceptual foundations PM personalized healthcare their evolution through scientific publications where a clear definition features different formulations identifiable. then examined policy documents International Consortium Personalised Medicine related initiatives understand how stakeholders have been changing....
Background Computational biology contributes to a variety of areas related life sciences and, due the growing impact translational medicine - scientific approach in tight relation with basic science -, it is becoming an important player clinical-related areas. In this study, we use computation methods order improve our understanding complex interactions that occur between molecules Rheumatoid Arthritis (RA). Methodology Due complexity disease and numerous molecular players involved, devised...
High-throughput (omic) data have become more widespread in both quantity and frequency of use, thanks to technological advances, lower costs higher precision. Consequently, computational scientists are confronted by two parallel challenges: on one side, the design efficient methods interpret each these their own right (gene expression signatures, protein markers, etc.) and, other realization a novel, pressing request from biological field methodologies that allow for be interpreted as whole,...
Abstract Motivation DNA methylation is a stable epigenetic mark with major implications in both physiological (development, aging) and pathological conditions (cancers numerous diseases). Recent research involving focuses on the development of molecular age estimation methods based levels (mAge). An increasing number studies indicate that divergences between mAge chronological may be associated to age-related diseases. Current advances high-throughput technologies have allowed...
Introduction: DNA methylation clocks presents advantageous characteristics with respect to the ambitious goal of identifying very early markers disease, based on concept that accelerated ageing is a reliable predictor in this sense. Methods: Such tools, being epigenomic based, are expected be conditioned by sex and tissue specificities, work about quantifying dependency as well from regression model size training set. Results: Our quantitative results indicate elastic-net penalization best...
The representation of real systems with network models is becoming increasingly common and critical to both capture simplify systems' complexity, notably, via the partitioning networks into communities. In this respect, definition modularity, a broadly used quality measure for partitioning, has induced surge efficient modularity-based community detection algorithms. However, recently, optimization modularity been found show resolution limit, which reduces its effectiveness range...
The feasibility of liver transplantation from old healthy donors suggests that this organ is able to preserve its functionality during aging. To explore the biological basis phenomenon, we characterized epigenetic profile biopsies collected 45 ranging 13 90 years using Infinium HumanMethylation450 BeadChip. analysis indicates a large remodeling in DNA methylation patterns occurs, with 8,823 age-associated differentially methylated CpG probes. Notably, these changes tended level off after age...
Abstract Advanced age represents one of the major risk factors for Parkinson’s Disease. Recent biomedical studies posit a role microRNAs, also known to be remodelled during ageing. However, relationship between microRNA remodelling and ageing in Disease, has not been fully elucidated. Therefore, aim present study is unravel relevance microRNAs as biomarkers Disease within framework. We employed Next Generation Sequencing profile serum from samples informative (recently diagnosed, drug-naïve)...
Abstract Parkinson’s disease (PD) is the neurological disorder showing greatest rise in prevalence from 1990 to 2016. Despite clinical definition criteria and a tremendous effort develop objective biomarkers, precise diagnosis of PD still unavailable at early stage. In recent years, an increasing number studies have used omic methods unveil molecular basis PD, providing detailed characterization potentially pathological alterations various biological specimens. Metabolomics could provide...
The massive production of biological data by means highly parallel devices like microarrays for gene expression has paved the way to new possible approaches in molecular genetics.Among them possibility inferring answers querying large amounts data.Based on this principle, we present here TOM, a web-based resource efficient extraction candidate genes hereditary diseases.The service requires previous knowledge at least another responsible disease and linkage area, or else two associated...
The biclustering method can be a very useful analysis tool when some genes have multiple functions and experimental conditions are diverse in gene expression measurement. This is because the approach, contrast to conventional clustering techniques, focuses on finding subset of that together exhibit coherent behavior. However, problem inherently intractable, it often computationally costly find biclusters with high levels coherence. In this work, we propose novel algorithm exploits...
High-throughput technologies enable the cost-effective collection and analysis of DNA methylation data throughout human genome. This naturally entails missing values management that can complicate data. Several general specific imputation methods are suitable for However, there no detailed studies their performances under different mechanisms -(completely) at random or not- representations levels (β M-value).We make an extensive seven on simulated completely (MCAR), (MAR) not (MNAR) We...
Abstract Background Ebrasodebart (Ent001) is a human IgG4 monoclonal antibody that antagonizes the binding of IGFBP3 to novel cell death receptor TMEM219, expressed on Intestinal Stem Cells (ISCs) and well conserved across animal species. thus expected inhibit TMEM219-mediated activation Caspase-8 exaggerated apoptosis ISCs observed in patients with Ulcerative Colitis (UC). currently clinical development as first-in class investigational treatment UC. A FIH single ascending dose (SAD) study...
Abstract Motivation methyLImp, a method we recently introduced for the missing value estimation of DNA methylation data, has demonstrated competitive performance in data imputation compared to existing, general-purpose, approaches. However, running time was considerably long and unfeasible case large datasets with numerous values. Results methyLImp2 made possible computations that were previously unfeasible. We achieved this by introducing two important modifications have significantly...
ABSTRACT Hepatoblastoma is the most common pediatric liver cancer and represents a serious clinical challenge as no effective therapies have yet been found for advanced states relapses of disease. In this work, we use well-established agent-based model immune response now equipped with anti-cancer therapy to study evolution disease role system in its containment, particular by simulating course hepatoblastoma over three years population virtual patients mortality symptom onset rates...
Electrical stimulation (ES) is widely employed in both clinical therapies and research settings where it has shown promise promoting tissue regeneration, wound healing also inflammation control. Research highlighted ES as a regulator of DNA demethylation, which plays critical role nerve regeneration cellular repair mechanisms. While the impact on epigenetic processes recognized, its broader effects functions, particularly healing, are less understood. We recently showed how impacts...