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Charles-Antoine Dutertre

Researcher at Institut Gustave Roussy

Publications -  83
Citations -  9948

Charles-Antoine Dutertre is an academic researcher from Institut Gustave Roussy. The author has contributed to research in topics: Immune system & Biology. The author has an hindex of 28, co-authored 67 publications receiving 5589 citations. Previous affiliations of Charles-Antoine Dutertre include National University of Singapore & Centre national de la recherche scientifique.

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Journal ArticleDOI

Dimensionality reduction for visualizing single-cell data using UMAP.

Etienne Becht, +8 more
- 01 Jan 2019 - 
TL;DR: Comparing the performance of UMAP with five other tools, it is found that UMAP provides the fastest run times, highest reproducibility and the most meaningful organization of cell clusters.
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Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)

Andrea Cossarizza, +462 more
- 01 Oct 2019 - 
TL;DR: These guidelines are a consensus work of a considerable number of members of the immunology and flow cytometry community providing the theory and key practical aspects offlow cytometry enabling immunologists to avoid the common errors that often undermine immunological data.
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Unsupervised High-Dimensional Analysis Aligns Dendritic Cells across Tissues and Species.

Martin Guilliams, +34 more
- 20 Sep 2016 - 
TL;DR: A universal toolbox for the automated identification of DCs through unsupervised analysis of conventional flow cytometry and mass cytometry data obtained from multiple mouse, macaque, and human tissues is provided and validated.
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The XC chemokine receptor 1 is a conserved selective marker of mammalian cells homologous to mouse CD8α+ dendritic cells

Karine Crozat, +22 more
- 07 Jun 2010 - 
TL;DR: XCR1 constitutes the first conserved specific marker for cell subsets homologous to mouse CD8α+ DCs in higher vertebrates and promotes their ability to activate early CD8+ T cell defenses against an intracellular pathogenic bacteria.
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Mapping the human DC lineage through the integration of high-dimensional techniques

Peter See, +40 more
- 09 Jun 2017 - 
TL;DR: Two unbiased high-dimensional technologies are employed to characterize the human DC lineage from bone marrow to blood and provide new markers that can be used to identify unambiguously pre-DC from pDC, including CD33, CX3CR1, CD2, CD5, and CD327.