A5085144508- Circular RNAs in diseases
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Obesity, Physical Activity, Diet
- T-cell and Retrovirus Studies
- Lymphoma Diagnosis and Treatment
- RNA modifications and cancer
- Chronic Lymphocytic Leukemia Research
- RNA Research and Splicing
- Physical Activity and Health
- Pancreatic and Hepatic Oncology Research
- Nutritional Studies and Diet
- Cancer Genomics and Diagnostics
- Nitrogen and Sulfur Effects on Brassica
- Ubiquitin and proteasome pathways
- Cardiovascular and exercise physiology
- Consumer Attitudes and Food Labeling
- Renal cell carcinoma treatment
- Nuclear Receptors and Signaling
- Agriculture Sustainability and Environmental Impact
- Nursing Diagnosis and Documentation
- Galectins and Cancer Biology
- Cancer Diagnosis and Treatment
- Neuroendocrine Tumor Research Advances
- Body Composition Measurement Techniques
University of Padua
2019-2025
Circular RNAs (circRNAs) are stable RNA molecules that can drive cancer through interactions with microRNAs and proteins by the expression of circRNA encoded peptides. The aim study was to define landscape potential impact in T-cell acute lymphoblastic leukemia (T-ALL). Analysis CirComPara RNA-sequencing data from 25 T-ALL patients, immature, HOXA overexpressing, TLX1, TLX3, TAL1, or LMO2 rearranged, thymocyte populations human healthy donors disclosed 68 554 circRNAs. Study top 3447 highly...
Abstract Circular RNAs (circRNAs) are a large class of covalently closed RNA molecules originating by process called back-splicing. CircRNAs emerging as functional involved in the regulation biological processes well disease and cancer mechanisms. Current computational methods for circRNA identification from RNA-seq experiments characterized low discovery rates performance dependent on analysed data set. We developed CirComPara2 (https://github.com/egaffo/CirComPara2), new automated pipeline...
Abstract Circular RNAs (circRNAs), transcripts generated by backsplicing, are particularly stable and pleiotropic molecules, whose dysregulation drives human diseases cancer modulating gene expression signaling pathways. CircRNAs can regulate cellular processes different mechanisms, including interaction with microRNAs (miRNAs) RNA-binding proteins (RBP), encoding specific peptides. The prediction of circRNA functions is instrumental to interpret their impact in diseases, prioritize circRNAs...
Background Regular physical activity (PA) contributes to the primary and secondary prevention of several chronic diseases reduces risk premature death. Physical inactivity is a modifiable factor for cardiovascular disease variety disorders such as diabetes, obesity, hypertension, bone joint (eg, osteoporosis osteoarthritis), depression, colon breast cancer. Population aging related increase in have major impact on health care systems most Western countries will produce an even more...
Abstract Circular RNAs (circRNAs) are emerging molecular players in leukemogenesis and promising therapeutic targets. In KMT2A::AFF1 (MLL::AF4)-rearranged leukemia, an aggressive disease compared with other pediatric B-cell precursor (BCP) acute lymphoblastic leukemia (ALL), data about circRNAs limited. Here, we disclose the circRNA landscape of infant patients translocated BCP-ALL showing dysregulated, mostly ectopically expressed, cells. Most these circRNAs, apart from circHIPK3...
Juvenile myelomonocytic leukemia (JMML), a rare myelodysplastic/myeloproliferative neoplasm of early childhood, is characterized by clonal growth RAS signaling addicted stem cells. JMML subtypes are defined specific pathway mutations and display distinct gene, microRNA (miRNA) long non-coding RNA expression profiles. Here we zoom in on circular RNAs (circRNAs), molecules that, when abnormally expressed, may participate malignant deviation cellular processes. CirComPara software was used to...
Abstract Circular RNAs (circRNAs) are covalently closed transcripts involved in critical regulatory axes, cancer pathways and disease mechanisms. CircRNA expression measured with RNA-seq has particular characteristics that might hamper the performance of standard biostatistical differential assessment methods (DEMs). We compared 38 DEM pipelines configured to fit circRNA data’s statistical properties, including bulk RNA-seq, single-cell (scRNA-seq) metagenomics DEMs. The DEMs performed...
Finding differentially expressed circular RNAs (circRNAs) is instrumental to understanding the molecular basis of phenotypic variation between conditions linked circRNA-involving mechanisms. To date, several methods have been developed identify circRNAs, and combining multiple tools becoming an established approach improve detection rate robustness results in circRNA studies. However, when using a consensus strategy, it unclear how expression estimates should be considered integrated into...
Background: The monitoring of caloric intake is an important challenge for the maintenance individual and public health. instruments used so far dietary (eg, food frequency questionnaires, diaries, telephone interviews) are inexpensive easy to implement but show inaccuracies. Alternative methods based on wearable devices wrist accelerometers have been proposed, yet they limited accuracy in predicting because analytics usually not well suited manage massive sets data generated from these...
Circular RNAs (circRNAs) are transcripts generated by back-splicing. CircRNAs might regulate cellular processes different mechanisms, including interaction with miRNAs and RNA-binding proteins. pleiotropic molecules whose dysregulation has been linked to human diseases can drive cancer impacting gene expression signaling pathways. The detection of circRNAs aberrantly expressed in disease conditions calls for the investigation their functions. Here, we propose CircIMPACT, a bioinformatics...
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Finding an effective treatment for T-PLL patients remains a significant challenge. Alemtuzumab, currently the gold standard, is insufficient in managing aggressiveness of disease long term. Consequently, numerous efforts are underway to address this unmet clinical need. The rarity limits ability conduct robust trials, making silico, ex vivo, and vivo drug screenings essential designing new therapeutic strategies T-PLL. We conducted repurposing analysis based on gene expression data...
Abstract The detection of circular RNA molecules (circRNAs) is typically based on short-read sequencing data processed by computational tools. During the last decade, a plethora such tools have been developed, but systematic comparison with orthogonal validation missing. Here, we set up circRNA tool benchmarking study, in which 16 were used and detected over 315,000 unique circRNAs three deeply sequenced human cell types. Next, 1,516 predicted empirically validated using methods. Generally,...
Abstract Circular RNAs (circRNAs) are a large class of covalently closed RNA molecules that originate by process called back-splicing. CircRNAs emerging as functional involved in the regulation biological processes well disease and cancer mechanisms. Current computational methods for circRNA identification from RNA-seq experiments characterised low discovery rates performance dependent on analysed data set. We developed new automated pipeline, CirComPara2 (...
To evaluate the value added by information reported in narratives (extracted through text mining techniques) enhancing characterization of falls patterns. Data on notified to Risk Management Service a Local Health Authority Italy were considered analysis. Each record detailed pre-coded about patient and fall’s characteristics, together with narrative description fall. At first, multiple correspondence analysis (MCA) was performed only. Then, it re-run data augmented variable representing...
Abstract Circular RNAs (circRNAs), transcripts generated by backsplicing, are particularly stable and pleiotropic molecules, whose dysregulation drives human diseases cancer modulating gene expression signaling pathways. CircRNAs can regulate cellular processes different mechanisms, including interaction with microRNAs (miRNAs) RNA-binding proteins (RBP), encoding specific peptides. The prediction of circRNA functions is instrumental to interpret their impact in diseases, prioritize circRNAs...