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Karen Sachs

Researcher at Stanford University

Publications -  45
Citations -  6875

Karen Sachs is an academic researcher from Stanford University. The author has contributed to research in topics: Bayesian network & Graphical model. The author has an hindex of 17, co-authored 39 publications receiving 5961 citations. Previous affiliations of Karen Sachs include Massachusetts Institute of Technology & Harvard University.

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Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum

TL;DR: Single-cell “mass cytometry” analyses provide system-wide views of immune signaling in healthy human hematopoiesis, against which drug action and disease can be compared for mechanistic studies and pharmacologic intervention.
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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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Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE

TL;DR: This work presents a versatile computational approach, spanning-tree progression analysis of density-normalized events (SPADE), which facilitates the analysis of cellular heterogeneity, the identification of cell types and comparison of functional markers in response to perturbations.
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Normalization of mass cytometry data with bead standards

TL;DR: The protocol described here includes simultaneous measurements of beads and cells on the mass cytometer, subsequent extraction of the bead‐based signature, and the application of an algorithm enabling correction of both short‐ and long‐term signal fluctuations.
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Multiplexed mass cytometry profiling of cellular states perturbed by small-molecule regulators

TL;DR: In this article, mass-tag cellular barcoding (MCB) was applied to characterize human peripheral blood mononuclear cell (PBMC) signaling dynamics and cell-to-cell communication, signaling variability between PBMCs from eight human donors, and the effects of 27 inhibitors.