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  Macrophage network dynamics depend on haptokinesis for optimal local surveillance

Paterson, N., & Lämmermann, T. (2022). Macrophage network dynamics depend on haptokinesis for optimal local surveillance. eLife, 11: e75354, pp. 1-32. doi:10.7554/eLife.75354.

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Genre: Zeitschriftenartikel

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elife-75354-v1.pdf (Verlagsversion), 18MB
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elife-75354-v1.pdf
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2022
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Paterson and Lämmermann

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https://elifesciences.org/articles/75354 (Verlagsversion)
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 Urheber:
Paterson, Neil1, Autor
Lämmermann, Tim1, Autor           
Affiliations:
1Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society, ou_1565141              

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 Zusammenfassung: Macrophages are key immune cells with important roles for tissue surveillance in almost all mammalian organs. Cellular networks made up of many individual macrophages allow for optimal removal of dead cell material and pathogens in tissues. However, the critical determinants that underlie these population responses have not been systematically studied. Here, we investigated how cell shape and the motility of individual cells influences macrophage network responses in 3D culture settings and in mouse tissues. We show that surveying macrophage populations can tolerate lowered actomyosin contractility, but cannot easily compensate for a lack of integrin-mediated adhesion. Although integrins were dispensable for macrophage chemotactic responses, they were crucial to control cell movement and protrusiveness for optimal surveillance by a macrophage population. Our study reveals that β1 integrins are important for maintaining macrophage shape and network sampling efficiency in mammalian tissues, and sets macrophage motility strategies apart from the integrin-independent 3D migration modes of many other immune cell subsets.

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Sprache(n): eng - English
 Datum: 2021-11-222022-03-28
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.7554/eLife.75354
 Art des Abschluß: -

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Titel: eLife
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Cambridge : eLife Sciences Publications
Seiten: - Band / Heft: 11 Artikelnummer: e75354 Start- / Endseite: 1 - 32 Identifikator: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X