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  5. Accelerating Cell Migration along Radially Aligned Nanofibers through the Addition of Electrosprayed Nanoparticles in a Radial Density Gradient

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Article
en
2022

Accelerating Cell Migration along Radially Aligned Nanofibers through the Addition of Electrosprayed Nanoparticles in a Radial Density Gradient

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0 Files

en
2022
Vol 39 (4)
Vol. 39
DOI: 10.1002/ppsc.202100280

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Younan Xia
Younan Xia

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Jiajia Xue
Tong Wu
Jichuan Qiu
+1 more

Abstract

Scaffolds capable of promoting cell migration from the periphery towards the center along the radial direction hold promises for tissue regeneration. Here we report a simple and general method based on masked electrospray for the fabrication of such scaffolds by depositing collagen nanoparticles on radially-aligned nanofibers in a radial density gradient. Placed between the metallic needle and the collector, an aperture with tunable opening sizes serves as the mask. By increasing the size of the opening at a fixed speed, the electrosprayed particles take a radial density gradient that decreases from the center to the periphery. When deposited on a glass slide, the radial density gradient of collagen nanoparticles promotes the migration of fibroblasts from the periphery towards the center. By replacing the glass slide with a scaffold comprised of radially-aligned nanofibers, a synergetic effect arises to further accelerate cell migration along the radial direction. The synergistic effect can be attributed to a unique combination of the topographic cue arising from the aligned nanofibers and the haptotactic cue enabled by the graded nanoparticles. This work demonstrates a method to maximize cell migration from the periphery towards the center through a combination of topographic and haptotactic cues.

How to cite this publication

Jiajia Xue, Tong Wu, Jichuan Qiu, Younan Xia (2022). Accelerating Cell Migration along Radially Aligned Nanofibers through the Addition of Electrosprayed Nanoparticles in a Radial Density Gradient. , 39(4), DOI: https://doi.org/10.1002/ppsc.202100280.

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Publication Details

Type

Article

Year

2022

Authors

4

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/ppsc.202100280

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