A5064800643- Single-cell and spatial transcriptomics
- interferon and immune responses
- Influenza Virus Research Studies
- Immune cells in cancer
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Bioinformatics and Genomic Networks
- T-cell and B-cell Immunology
- Cancer-related molecular mechanisms research
- COVID-19 and Mental Health
- Genetic Mapping and Diversity in Plants and Animals
- Telemedicine and Telehealth Implementation
- vaccines and immunoinformatics approaches
- Healthcare Systems and Public Health
- Immune Cell Function and Interaction
- Respiratory viral infections research
- Immune responses and vaccinations
- Parvovirus B19 Infection Studies
- Lung Cancer Treatments and Mutations
- Artificial Intelligence in Healthcare and Education
- Cell Image Analysis Techniques
- Hematological disorders and diagnostics
- Gene Regulatory Network Analysis
- Lung Cancer Research Studies
- Gene expression and cancer classification
Tel Aviv University
2013-2023
Abstract Hundreds of immune cell types work in coordination to maintain tissue homeostasis. Upon infection, dramatic changes occur with the localization, migration, and proliferation cells first alert body danger, confine it limit spreading, finally extinguish threat bring back Since current technologies can follow dynamics only a limited number types, we have yet grasp full complexity global vivo normal developmental processes disease. Here, devise computational method, digital...
: The composition of immune-cell subsets is key to the understanding major diseases and pathologies. Computational deconvolution methods enable researchers investigate immune cell quantities in complex tissues based on transcriptome data. Here we present ImmQuant, a software tool allowing immunologists upload transcription profiles multiple tissue samples, apply methodology predict differences cell-type between then inspect inferred alterations using convenient visualization tools. ImmQuant...
Patient-facing digital health tools have been promoted to help patients manage concerns related COVID-19 and enable remote care self-care during the pandemic. It has also suggested that these can further our understanding of clinical characteristics this new disease. However, there is limited information on use patterns in practice.
ObjectiveTo evaluate the diagnostic accuracy of artificial intelligence (AI)-generated clinical diagnoses.Patients and MethodsA retrospective chart review 102,059 virtual primary care encounters from October 1, 2022, to January 31, 2023 was conducted. Patients underwent an AI medical interview, after which providers reviewed interview summary AI-provided differential diagnoses, communicated with patients, finalized diagnoses treatment plans. Our measures were agreement between providers,...
Background: Non-small cell lung cancer (NSCLC) is the most common cause of cancer-death due to early metastatic spread, in many cases primarily brain. Organ-specific pattern spread disease might be driven by activity a specific signaling pathway within primary tumors. We aimed identify an expression signature genes and relevant associated with development brain metastasis (BM) after surgical resection NSCLC. Methods: Rapidly frozen NSCLC specimens were procured from tumor banks. RNA was...
A central challenge in pharmaceutical research is to investigate genetic variation response drugs. The Collaborative Cross (CC) mouse reference population a promising model for pharmacogenomic studies because of its large amount variation, reproducibility, and dense recombination sites. While the CC lines are phenotypically diverse, their diversity drug disposition processes, such as detoxification reactions, still largely uncharacterized. Here we systematically measured RNA-sequencing...
Seasonal influenza results in 3 to 5 million cases of severe disease and 250,000 500,000 deaths annually. Macrophages have been implicated both the resolution progression disease, but drivers these outcomes are poorly understood. We probed mouse lung transcriptomic datasets using Digital Cell Quantifier algorithm predict immune cell subsets that correlated with mild or A virus (IAV) infection outcomes. identified a unique macrophage population transcriptionally resembled small serosal cavity...
Sequence variation can affect the physiological state of immune system. Major experimental efforts targeted at understanding genetic control abundance cell subpopulations. However, these studies are typically focused on a limited number types, mainly due to use relatively low throughput cell-sorting technologies. Here we present an algorithm that reveal basis inter-individual in types using only gene expression and genotyping measurements as input. Our predicts subpopulations based RNA...
Abstract Motivation: The immune system comprises a complex network of genes, cells and tissues, coordinated through signaling pathways cell−cell communications. However, the orchestrated role multiple immunological components in disease is still poorly understood. Classifications based on gene-expression data have revealed immune-related various diseases, but how such describe cellular physiology remains largely unknown. Results: We identify alterations cell quantities discriminating between...
The host immune response against infection requires the coordinated action of many diverse cell subsets that dynamically adapt to a pathogen threat. Due complexity such response, most immunological studies have focused on few genes, proteins, or types. With development "omic"-technologies and computational analysis methods, attempts analyze understand complex system dynamics are now feasible. However, decomposition transcriptomic data sets generated from complete organs remains major...
When challenged with an invading pathogen, the host defense response is engaged to eliminate pathogen (resistance) and maintain health in presence of (disease tolerance). However, identification distinct molecular programs underpinning disease tolerance resistance remained obscure. We exploited transcriptional physiological monitoring across 33 mouse strains, during vivo influenza virus infection, identify two host-defense gene - one associated hallmarks other resistance. Both constitute...
Recent computational methods have enabled the inference of cell-type-specificity eQTLs based on bulk transcriptomes from highly heterogeneous tissues. However, these are limited in their scalability to tissues and broad applicability any cell-type specificity eQTLs. Here we present demonstrate Cell Lineage Genetics (CeL-Gen), a novel approach that allows together with subsets cell types which they an effect, transcriptome data. To obtain improved broader applicability, CeL-Gen takes as input...
Abstract The severity of influenza virus infection is largely determined by the interplay between and host. Understanding pathological drivers A viruses serves to rapidly characterize host response newly emerging derive prognostic signatures disease severity. We implemented a differential network approach uncover novel distinctions global transcriptional highly pathogenic low H1N1, H7N9, H7N7, H5N1 infections in BALB/c mice. identified crucial mediators inflammatory, coagulation, tissue...