A5032974552- Neurogenetic and Muscular Disorders Research
- Amyotrophic Lateral Sclerosis Research
- RNA Research and Splicing
- RNA modifications and cancer
- Pancreatic function and diabetes
- Diabetes and associated disorders
- MicroRNA in disease regulation
- RNA regulation and disease
- Diabetes Management and Research
- Liver Disease Diagnosis and Treatment
- Hereditary Neurological Disorders
- Cardiac Arrhythmias and Treatments
- Quality and Safety in Healthcare
- biodegradable polymer synthesis and properties
- Cell Image Analysis Techniques
- Internet Traffic Analysis and Secure E-voting
- Health Systems, Economic Evaluations, Quality of Life
- Nutritional Studies and Diet
- Bioinformatics and Genomic Networks
- Diabetes Treatment and Management
- Genetic Associations and Epidemiology
- Network Security and Intrusion Detection
- Congenital Anomalies and Fetal Surgery
- Autophagy in Disease and Therapy
- RNA and protein synthesis mechanisms
Weizmann Institute of Science
2019-2024
Rabin Medical Center
2024
Teva Pharmaceuticals (Israel)
2018
Tel Aviv University
2017
The antisense oligonucleotide nusinersen (Spinraza) regulates splicing of the survival motor neuron 2 (SMN2) messenger RNA to increase SMN protein expression. Nusinersen has improved ventilator-free and function outcomes in infantile onset forms spinal muscular atrophy (SMA), treated early course disease. However, response later SMA is highly variable dependent on symptom severity disease duration at treatment initiation. Therefore, we aimed identify novel noninvasive biomarkers that could...
RNA G-quadruplexes (rG4s) are secondary structures, which formed by guanine-rich sequences and have important cellular functions. Existing computational tools for rG4 prediction rely on specific sequence features and/or were trained small datasets, without considering stability information, therefore sub-optimal. Here, we developed rG4detector, a convolutional neural network to identify potential rG4s in transcriptomics data. rG4detector outperforms existing methods both predicting detecting...
Loss of nuclear TDP-43 splicing activity is a common feature across neurodegenerative diseases, but its relevance to Alzheimer's disease (AD) remains unclear. Here, we show that pathology in AD broadly associated with abnormalities, including aberrant amyloid precursor protein (APP). We demonstrate drives the formation elongated APP isoforms, APP751 and APP770. Thus, dysregulation disrupts APP695/751/770 alternative ALS/FTLD-TDP AD, providing compelling mechanism for 37-year-old observation...
Abstract Systematic assessment of organelle architectures in cells, known as the organellome, could provide valuable insights into cellular states and disease pathologies but remains largely uncharted. Here, we devised a novel pipeline combining self-supervised deep learning transfer to generate Neuronal Organellomics Vision Atlas (NOVA). Analyzing over 1.5 million confocal images 24 distinct membrane-bound membrane-less organelles human neurons, enable simultaneous evaluation all...
Abstract Aims The advantages of direct oral anticoagulants (DOACs) over warfarin are well established in atrial fibrillation (AF) patients, however, studies that can guide the selection between different DOACs limited. aim was to compare clinical outcomes treatment with apixaban, rivaroxaban, and dabigatran patients AF. Methods results We conducted a retrospective, nationwide, propensity score-matched-based observational study from Clalit Health Services. Data 141 992 individuals AF used...
This study aimed to explore the non-linear relationships between cell-free microRNAs (miRNAs) and their contribution prediction of Frontotemporal dementia (FTD), an early onset that is clinically heterogeneous, too often suffers from delayed diagnosis.
It has been claimed that many security breaches are often caused by vulnerable (naïve) employees within the organization [Ponemon Institute LLC 2015a]. Thus, weakest link in is not technology itself but rather people who use it [Schneier 2003]. In this article, we propose a machine learning scheme for detecting risky webpages and browsing behavior, performed naïve users organization. The analyzes interaction between two modules: one represents users, while other webpages. implements feedback...
Common medical conditions are often associated with sleep abnormalities. Patients disorders suffer from poor quality compared to healthy individuals, which in turn may worsen the symptoms of disorder. Accurate detection sleep/wake patterns is important developing personalized digital markers, can be used for objective measurements and efficient disease management. Big Data technologies advanced analytics methods hold promise revolutionize clinical research processes, enabling effective...
Abstract BACKGROUND Frontotemporal dementia (FTD) is an early onset that diagnosed in ∼20% of the progressive cases. Heterogeneity FTD clinical presentation too often delays diagnosis and calls for molecular biomarkers to assist diagnosis, including cell free microRNAs (miRNA). However, nonlinearity relationship miRNAs states underpowered cohorts has limited research this domain. METHODS We initially studied a training cohort 219 subjects (135 84 non-neurodegenerative controls) then...
Time-to-event prediction is a key task for biological discovery, experimental medicine, and clinical care. This particularly true neurological diseases where development of reliable biomarkers often limited by difficulty visualising sampling relevant cell molecular pathobiology. To date, much work has relied on Cox regression because ease-of-use, despite evidence that this model includes incorrect assumptions. We have implemented set deep learning spline models time-to-event modelling within...
Until recently, communication between neighboring cells in islets of Langerhans was overlooked by genomic technologies, which require rigorous tissue dissociation into single cells. We utilize sorting physically interacting (PICs) with single-cell RNA-sequencing to systematically map cellular interactions the endocrine pancreas after pancreatectomy. The landscape features pancreatectomy associated heterogeneity beta-cells, including an interaction-specific program paired beta and...
Abstract Amyotrophic lateral sclerosis (ALS) is a relentless neurodegenerative syndrome of the human motor neuron system, for which no effective treatment exists. Variability in rate disease progression limits efficacy ALS clinical trials, suggesting that developing better biomarkers prognosis will facilitate therapeutic progress. Here, we applied unbiased next-generation sequencing to investigate potential plasma cell-free microRNAs as prognosis, 252 patients with detailed...
Amyotrophic lateral sclerosis (ALS) is an incurable neurodegenerative disease. CAV1 and CAV2 organise membrane lipid rafts (MLR) important for cell signalling neuronal survival, overexpression of ameliorates ALS phenotypes in vivo. Genome-wide association studies localise a large proportion ALS-risk variants within the non-coding genome, but further characterisation has been limited by lack appropriate tools. Applying new pipeline to identify pathogenic genetic variation enhancer-elements...
Abstract The endocrine pancreas is able to regenerate in response insult, including by driving beta-cells into the cell division cycle. Until recently, communication between neighboring cells islets of Langerhans was overlooked single-cell genomic technologies, which require rigorous tissue dissociation single cells. Here, we utilize sorting physically interacting (PICs) with RNA-sequencing systematically map cellular interactions regenerating pancreas. landscape regenerated features...
Abstract The non-coding genome is substantially larger than the protein-coding but largely unexplored by genetic association studies. Here, we performed region-based burden analysis of >25,000 variants in untranslated regions 6,139 amyotrophic lateral sclerosis (ALS) whole-genomes and 70,403 non-ALS controls. We identified Interleukin-18 Receptor Accessory Protein (IL18RAP) 3′UTR significantly enriched genomes, replicated an independent cohort, associated with a five-fold reduced risk...
Abstract Amyotrophic lateral sclerosis (ALS) is a relentless neurodegenerative syndrome of the human motor neuron system, for which no effective treatment exists. Variability in rate disease progression limits efficacy ALS clinical trials, suggesting that developing better biomarkers prognosis will facilitate therapeutic progress. Here, we applied unbiased next-generation sequencing to investigate potential plasma cell-free microRNAs as prognosis, 252 patients with detailed...
Variability of response to medication is a well-known phenomenon, determined by both environmental and genetic factors. Understanding the heritable component great interest but challenging due several reasons, including small study cohorts computational limitations.Here, we heritability variation in glycaemic metformin, first-line therapeutic agent for type 2 diabetes (T2D), leveraging 18 years electronic health records (EHR) data from Israel's largest healthcare service provider, consisting...
Abstract Objective The antisense oligonucleotide nusinersen (spinraza) regulates splicing of the survival motor neuron 2 ( SMN2) messenger RNA to increase SMN protein expression and has improved ventilator free function outcomes in infantile onset forms SMA, treated early course disease. However, response later SMA is highly variable dependent on symptom severity disease duration at treatment initiation. Therefore, we aimed identify novel noninvasive biomarkers that could predict type II III...