Dissemin is shutting down on January 1st, 2025

Published in

National Academy of Sciences, Proceedings of the National Academy of Sciences, 32(115), 2018

DOI: 10.1073/pnas.1803062115

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Unbiased classification of mosquito blood cells by single-cell genomics and high-content imaging

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Data provided by SHERPA/RoMEO

Abstract

Significance Mosquito blood cells are central players of immunity against the vector-borne pathogens that devastate the lives of millions of people worldwide. However, their molecular identity and classification remain controversial. By applying single-cell RNA sequencing and high-content imaging flow cytometry, we defined the molecular fingerprint of a subset of mosquito blood cells and characterized two transcriptionally distinct blood cell populations that resemble previously described cell types. Surprisingly, cell population analyses at a single-cell level uncovered an active molecular transfer between the two cell types that may contribute to cellular diversity and plasticity seen across biological systems.