Leading edge competition promotes context-dependent responses to receptor inputs to resolve directional dilemmas in neutrophil migration.

IF 9 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Cell Systems Pub Date : 2023-03-15 Epub Date: 2023-02-23 DOI:10.1016/j.cels.2023.02.001
Amalia Hadjitheodorou, George R R Bell, Felix Ellett, Daniel Irimia, Robert Tibshirani, Sean R Collins, Julie A Theriot
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Abstract

Maintaining persistent migration in complex environments is critical for neutrophils to reach infection sites. Neutrophils avoid getting trapped, even when obstacles split their front into multiple leading edges. How they re-establish polarity to move productively while incorporating receptor inputs under such conditions remains unclear. Here, we challenge chemotaxing HL60 neutrophil-like cells with symmetric bifurcating microfluidic channels to probe cell-intrinsic processes during the resolution of competing fronts. Using supervised statistical learning, we demonstrate that cells commit to one leading edge late in the process, rather than amplifying structural asymmetries or early fluctuations. Using optogenetic tools, we show that receptor inputs only bias the decision similarly late, once mechanical stretching begins to weaken each front. Finally, a retracting edge commits to retraction, with ROCK limiting sensitivity to receptor inputs until the retraction completes. Collectively, our results suggest that cell edges locally adopt highly stable protrusion/retraction programs that are modulated by mechanical feedback.

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前缘竞争促进了对受体输入的情境依赖性反应,以解决中性粒细胞迁移中的定向困境。
在复杂环境中保持持续迁移是中性粒细胞到达感染部位的关键。即使障碍物将中性粒细胞的前端分割成多个前缘,它们也能避免被困住。在这种情况下,中性粒细胞如何重新建立极性以进行有效迁移,同时纳入受体输入,目前仍不清楚。在这里,我们用对称分叉微流体通道挑战趋化 HL60 中性粒细胞样细胞,以探究细胞在解决竞争前沿过程中的内在过程。利用监督统计学习,我们证明细胞在该过程的后期致力于一个前沿,而不是放大结构不对称或早期波动。利用光遗传学工具,我们证明只有在机械拉伸开始削弱每个前沿时,受体输入才会在晚期对决策产生类似的偏差。最后,缩回边缘开始缩回,ROCK 限制了对受体输入的敏感性,直到缩回完成。总之,我们的研究结果表明,细胞边缘局部采用高度稳定的突起/回缩程序,并受机械反馈的调节。
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来源期刊
Cell Systems
Cell Systems Medicine-Pathology and Forensic Medicine
CiteScore
16.50
自引率
1.10%
发文量
84
审稿时长
42 days
期刊介绍: In 2015, Cell Systems was founded as a platform within Cell Press to showcase innovative research in systems biology. Our primary goal is to investigate complex biological phenomena that cannot be simply explained by basic mathematical principles. While the physical sciences have long successfully tackled such challenges, we have discovered that our most impactful publications often employ quantitative, inference-based methodologies borrowed from the fields of physics, engineering, mathematics, and computer science. We are committed to providing a home for elegant research that addresses fundamental questions in systems biology.
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