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Single-Cell Transcriptomics of Human and Mouse Lung Cancers Reveals Conserved Myeloid Populations across Individuals and Species

Articolo
Data di Pubblicazione:
2019
Abstract:
Tumor-infiltrating myeloid cells (TIMs) comprise monocytes, macrophages, dendritic cells, and neutrophils, and have emerged as key regulators of cancer growth. These cells can diversify into a spectrum of states, which might promote or limit tumor outgrowth but remain poorly understood. Here, we used single-cell RNA sequencing (scRNA-seq) to map TIMs in non-small-cell lung cancer patients. We uncovered 25 TIM states, most of which were reproducibly found across patients. To facilitate translational research of these populations, we also profiled TIMs in mice. In comparing TIMs across species, we identified a near-complete congruence of population structures among dendritic cells and monocytes; conserved neutrophil subsets; and species differences among macrophages. By contrast, myeloid cell population structures in patients' blood showed limited overlap with those of TIMs. This study determines the lung TIM landscape and sets the stage for future investigations into the potential of TIMs as immunotherapy targets.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
single cell transcriptomics; InDrop technology; lung cancer tumor infiltrating myeloid cells; patient samples; murine model of lung cancer; identification of 25 novel myeloid signatures; tumor microenvironment landscape defined at the single cell level; scRNAseq
Elenco autori:
Maroni, Giorgia; Levantini, Elena
Autori di Ateneo:
LEVANTINI ELENA
MARONI GIORGIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/370382
Pubblicato in:
IMMUNITY (CAMB. MASS.)
Journal
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