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在三维水凝胶中生成稳定的平流扩散趋化因子梯度。

Generation of stable advective-diffusive chemokine gradients in a three-dimensional hydrogel.

作者信息

Bonneuil Willy V, Watson Daniel J, Frattolin Jennifer, Russell Matthew J, Masci Francesca Fasanella, Bandara Mikaila, Brook Bindi S, Nibbs Robert J B, Moore James E

机构信息

Department of Bioengineering, Imperial College London, London SW7 2BP, United Kingdom.

School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, United Kingdom.

出版信息

AIP Adv. 2022 Feb 16;12(2). doi: 10.1063/5.0064947. eCollection 2022 Feb 1.

DOI:10.1063/5.0064947
PMID:40741165
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7617951/
Abstract

Physiologic chemoattractant gradients are shaped by diffusion, advection, binding to an extracellular matrix, and removal by cells. Previous tools for studying these gradients and the cellular migratory response have required cells to be constrained to a 2D substrate or embedded in a gel devoid of fluid flow. Cell migration in fluid flow has been quantified in the absence of chemoattractant gradients and shown to be responsive to them, but there is a need for tools to investigate the synergistic, or antagonistic, effects of gradients and flow. We present a microfluidic chip in which we generated precisely controlled gradients of the chemokine CCL19 under advective-diffusive conditions. Using torque-actuated membranes situated between a gel region and the chip outlet, the resistance of fluid channels adjacent to the gel region could be modified, creating a controllable pressure difference across the gel at a resolution inferior to 10 Pa. Constant supply and removal of chemokine on either side of the chip facilitated the formation of stable gradients at Péclet numbers between -10 and +10 in a collagen type I hydrogel. The resulting interstitial flow was steady within 0.05 m s for at least 8 h and varied by less than 0.05 m s along the gel region. This method advances the physiologic relevance of the study of the formation and maintenance of molecular gradients and cell migration, which will improve the understanding of observations.

摘要

生理趋化因子梯度是由扩散、平流、与细胞外基质结合以及细胞清除等因素形成的。以往用于研究这些梯度和细胞迁移反应的工具要求细胞被限制在二维基质上或嵌入无流体流动的凝胶中。在没有趋化因子梯度的情况下,流体流动中的细胞迁移已被量化,并显示出对梯度有反应,但需要工具来研究梯度和流动的协同或拮抗作用。我们展示了一种微流控芯片,在其中我们在平流扩散条件下生成了精确控制的趋化因子CCL19梯度。通过使用位于凝胶区域和芯片出口之间的扭矩驱动膜,可以改变与凝胶区域相邻的流体通道的阻力,在凝胶上产生分辨率低于10 Pa的可控压差。在芯片两侧持续供应和去除趋化因子有助于在I型胶原水凝胶中形成Péclet数在-10至+10之间的稳定梯度。由此产生的间质流在至少8小时内稳定在0.05 m/s以内,并且沿凝胶区域的变化小于0.05 m/s。该方法提高了分子梯度形成和维持以及细胞迁移研究的生理相关性,这将增进对观察结果的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84e7/7617951/b125a0cdb2aa/EMS207213-f009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84e7/7617951/a856525b9845/EMS207213-f001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84e7/7617951/f02b91a2a3e0/EMS207213-f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84e7/7617951/f2cafbdfd778/EMS207213-f008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84e7/7617951/b125a0cdb2aa/EMS207213-f009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84e7/7617951/a856525b9845/EMS207213-f001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84e7/7617951/f02b91a2a3e0/EMS207213-f007.jpg
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