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Open AccessJournal ArticleDOI

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

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TLDR
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.
Abstract
Flow cytometry is an essential tool for dissecting the functional complexity of hematopoiesis. We used single-cell "mass cytometry" to examine healthy human bone marrow, measuring 34 parameters simultaneously in single cells (binding of 31 antibodies, viability, DNA content, and relative cell size). The signaling behavior of cell subsets spanning a defined hematopoietic hierarchy was monitored with 18 simultaneous markers of functional signaling states perturbed by a set of ex vivo stimuli and inhibitors. The data set allowed for an algorithmically driven assembly of related cell types defined by surface antigen expression, providing a superimposable map of cell signaling responses in combination with drug inhibition. Visualized in this manner, the analysis revealed previously unappreciated instances of both precise signaling responses that were bounded within conventionally defined cell subsets and more continuous phosphorylation responses that crossed cell population boundaries in unexpected manners yet tracked closely with cellular phenotype. Collectively, such single-cell 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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Journal ArticleDOI

Heterogeneity of Human CD4+ T Cells Against Microbes

TL;DR: How studies of the human T cell response to microbes have advanced understanding of Th cell functional heterogeneity is discussed, in particular with the discovery of a distinct Th1 subset involved in the response to Mycobacteria and the characterization of two types of Th17 cells specific for extracellular bacteria or fungi.
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Intratumoral heterogeneity: pathways to treatment resistance and relapse in human glioblastoma

TL;DR: This review details the emerging data that explores the extensive genetic, cellular and functional ITH present in glioblastoma and suggests harnessing new technologies to delineate GBM ITH and identify treatment-refractory cell populations, thus opening new therapeutic windows.
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CyTOF workflow: differential discovery in high-throughput high-dimensional cytometry datasets

TL;DR: An updated R-based pipeline for differential analyses of HDCyto data, largely based on Bioconductor packages is presented, allowing overdispersion in cell count or aggregated signals across samples to be appropriately modeled.
Journal ArticleDOI

Dissecting the mechanisms of immune checkpoint therapy

TL;DR: Significant insights are uncovered into the differences between targeting CTLA4 versus PD1 and the role of particular T cell subsets in immune responses to cancer, and reverse translational studies are informing the understanding of resistance and response mechanisms in patients.
References
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疟原虫var基因转换速率变化导致抗原变异[英]/Paul H, Robert P, Christodoulou Z, et al//Proc Natl Acad Sci U S A

宁北芳, +1 more
TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
Journal ArticleDOI

The green fluorescent protein

TL;DR: In just three years, the green fluorescent protein from the jellyfish Aequorea victoria has vaulted from obscurity to become one of the most widely studied and exploited proteins in biochemistry and cell biology.
Journal ArticleDOI

A quantitative analysis of kinase inhibitor selectivity.

TL;DR: This work presents interaction maps for 38 kinase inhibitors across a panel of 317 kinases representing >50% of the predicted human protein kinome and introduces the concept of a selectivity score as a general tool to quantify and differentiate the observed interaction patterns.
Book

Practical Flow Cytometry

TL;DR: Using Flow Cytometers: Applications, Extensions, and Alternatives as mentioned in this paper is an excellent overview of the history of the field of Flow Sorting, its applications, extensions, and alternatives.
Journal ArticleDOI

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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