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Omar D. Perez

Researcher at Stanford University

Publications -  53
Citations -  5344

Omar D. Perez is an academic researcher from Stanford University. The author has contributed to research in topics: Cytosine deaminase & Signal transduction. The author has an hindex of 24, co-authored 52 publications receiving 5030 citations. Previous affiliations of Omar D. Perez include Harvard University & University of California, Berkeley.

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Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data

TL;DR: Reconstruction of network models from physiologically relevant primary single cells might be applied to understanding native-state tissue signaling biology, complex drug actions, and dysfunctional signaling in diseased cells.
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Single Cell Profiling of Potentiated Phospho-Protein Networks in Cancer Cells

TL;DR: By exposing cancer cell signaling networks to potentiating inputs, rather than relying upon the basal levels of protein phosphorylation alone, it is shown that individual cancers manifested multiple cell subsets with unique network profiles, reflecting cancer heterogeneity at the level of signaling response.
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The History and Future of the Fluorescence Activated Cell Sorter and Flow Cytometry: A View from Stanford

TL;DR: New FACS methods for measuring activated kinases and phosphatases and redox active enzymes in individual cells simultaneously with cell surface phenotyping are described, so key functions can be studied in various subsets of cells without the need for prior sorting.
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Analysis of protein phosphorylation and cellular signaling events by flow cytometry: techniques and clinical applications

TL;DR: Phospho-specific flow cytometry is compared to traditional biochemical methods, and its advantages, such as single cell analysis, multiparameter data acquisition, rapid protocols, and the ability to analyze rare cell subsets, are detailed.
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Simultaneous measurement of multiple active kinase states using polychromatic flow cytometry

TL;DR: Polychromatic flow-cytometric active kinase measurements demonstrate that multidimensional analysis of signaling pathways can provide functional signaling pathway assessment on a single-cell level and allow for potential correlation with biological and clinical parameters.