Daniel Pirak
A5064354062- SARS-CoV-2 and COVID-19 Research
- interferon and immune responses
- COVID-19 epidemiological studies
- Advanced Proteomics Techniques and Applications
- Computational Drug Discovery Methods
- Bioinformatics and Genomic Networks
- Mosquito-borne diseases and control
- Single-cell and spatial transcriptomics
- SARS-CoV-2 detection and testing
- vaccines and immunoinformatics approaches
- Biomedical Text Mining and Ontologies
- Cell Image Analysis Techniques
Tel Aviv University
2021-2024
ABSTRACT A series of SARS-CoV-2 variants concern (VOCs) have evolved in humans during the COVID-19 pandemic—Alpha, Beta, Gamma, Delta, and Omicron. Here, we used global proteomic genomic analyses infection to understand molecular responses driving VOC evolution. We discovered VOC-specific differences viral RNA protein expression levels, including for N, Orf6, Orf9b, pinpointed several mutations responsible. An analysis host response comprehensive interrogation altered virus-host...
More transmissible SARS-CoV-2 variants of concern (VOCs) emerged during the COVID-19 pandemic. Here, we used global proteomic and genomic approaches to study host responses driving VOC evolution. We discovered VOCs evolved convergent strategies remodel response by modulating viral RNA protein levels, altering nucleocapsid phosphorylation, rewiring virus-host protein-protein interactions. Integrative systems analysis revealed that although Alpha, Beta, Gamma, Delta ultimately converged in...
Abstract Motivation Protein–protein interactions (PPIs) provide the skeleton for signal transduction in cell. Current PPI measurement techniques do not information on their directionality which is critical elucidating signaling pathways. To date, there are hundreds of thousands known PPIs public databases, yet only a small fraction them have an assigned direction. This gap calls computational approaches inferring PPIs, aka network orientation. Results In this work, we propose novel deep...
Summary Despite extensive research, internal tumor heterogeneity presents enormous challenges to achieve complete therapeutic responses. Changes in protein expression are central determinants of cancer phenotypes that reflect potential targets. However, previous proteomic studies did not address heterogeneity, therefore, masked the necessary spatial resolution a comprehensive understanding complexity. Here we present first large-scale multi-focal breast study 330 regions which associated...