2022
DOI: 10.1101/2022.08.31.505969
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Reconstituted branched actin networks sense and generate micron-scale membrane curvature

Abstract: The actin cortex is a complex cytoskeletal machinery which drives and responds to changes in cell shape. It must generate or adapt to plasma membrane curvature to facilitate diverse functions such as cell division, migration and phagocytosis. Due to the complex molecular makeup of the actin cortex, it remains unclear whether actin networks are inherently able to sense and generate membrane curvature, or whether they rely on their diverse binding partners to accomplish this. Here, we show that curvature sensing… Show more

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Cited by 6 publications
(10 citation statements)
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“…1A). The method produces a high yield of GUVs with a broad size distribution centered reproducibly around 9 µm and extending up to 40 µm (25), which covers the lower end of the 10-100 μm size range of mammalian cells (27). Actin was strongly localized to the membrane in almost 90% of the GUVs (Fig.…”
Section: Resultsmentioning
confidence: 99%
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“…1A). The method produces a high yield of GUVs with a broad size distribution centered reproducibly around 9 µm and extending up to 40 µm (25), which covers the lower end of the 10-100 μm size range of mammalian cells (27). Actin was strongly localized to the membrane in almost 90% of the GUVs (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…1B, yellow arrow) or lacked any actin signal (Fig. 1B, white arrow), likely because of some variability in the encapsulation efficiency (25). In the following, all analysis refers to GUVs in which we observed membrane-localized actin signal.…”
Section: Resultsmentioning
confidence: 99%
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“…20−22 In the second part of her presentation, she focused on the progress of her laboratory in rebuilding cell division using a novel method to generate giant unilamellar vesicles (GUVs) encapsulating actin to form a cortex at the inner surface of the vesicle, which is sufficient to create curved membrane structures. 23,24 Prof. Tomas Kirchhausen (Harvard Medical School, USA) started with a retrospective to the time 20 years ago before the NCCR started, when they discovered the compound Dynasore, a very potent Dynamin inhibitor. 25 He then presented his inspiring latest research using large scale data visualization to achieve automated recognition of organelles from FIB-SEM data for both cultured cells and tissue using deep learning-aided image processing.…”
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confidence: 99%