Localized ultrasonic stimulation using a piezoelectric micromachined ultrasound transducer array for selective neural differentiation of magnetic cell-based robots.

IF 9.9 1区 工程技术 Q1 INSTRUMENTS & INSTRUMENTATION Microsystems & Nanoengineering Pub Date : 2025-03-20 DOI:10.1038/s41378-025-00900-y
Seonhyoung Kim, Dong-In Kim, Hong Goo Yeo, Gyudong Lee, Jin-Young Kim, Hongsoo Choi
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Abstract

Targeted stem cell delivery utilizing a magnetic actuation system is an emerging technology in stem cell engineering that efficiently targets stem cells in specific areas in vitro. However, integrating precise magnetic control systems with selective neural differentiation has not yet been widely considered for building successful neural networks. Challenges arise in creating targeted functional neuronal networks, largely due to difficulties in simultaneously controlling the positions of stem cells and selectively stimulating their differentiation. These challenges often result in suboptimal differentiation rates and abnormalities in transplanted neural stem cells. In contrast, ultrasound stimulation has superior tissue penetration and focusing capability, and represents a promising noninvasive neural stimulation technique capable of modulating neural activity and promoting selective differentiation into neuronal stem cells. In this study, we introduce a method for targeted neural differentiation using localized ultrasonic stimulation with a piezoelectric micromachined ultrasound transducer (pMUT) array. Differentiation was assessed quantitatively by monitoring neurite outgrowth as the ultrasound intensity was increased. The neurite length of cells ultrasonically stimulated for 40 min was found to have increased, compared to the non-stimulated group (119.9 ± 34.3 μm vs. 63.2 ± 17.3 μm, respectively). Targeted differentiation was confirmed by measuring neurite lengths, where selective ultrasound stimulation induced differentiation in cells that were precisely delivered via an electromagnetic system. Magnetic cell-based robots reaching the area of localized ultrasound stimulation were confirmed to have enhanced differentiation. This research demonstrated the potential of the combination of precise stem cell delivery with selective neural differentiation to establish functional neural networks.

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基于压电微机械超声换能器阵列的局部超声刺激用于磁细胞机器人的选择性神经分化。
利用磁致动系统靶向干细胞递送是干细胞工程领域的一项新兴技术,它可以在体外有效地靶向特定区域的干细胞。然而,将精确磁控制系统与选择性神经分化相结合,构建成功的神经网络尚未得到广泛的考虑。在创建有针对性的功能性神经网络方面出现了挑战,主要是因为难以同时控制干细胞的位置并选择性地刺激其分化。这些挑战通常导致移植神经干细胞分化率不理想和异常。相比之下,超声刺激具有优越的组织穿透和聚焦能力,是一种有前途的非侵入性神经刺激技术,能够调节神经活动并促进选择性分化为神经干细胞。在这项研究中,我们介绍了一种利用压电微机械超声换能器(pMUT)阵列的局部超声刺激进行定向神经分化的方法。随着超声强度的增加,通过监测神经突生长来定量评估分化。与未刺激组相比,超声刺激40 min后细胞的神经突长度增加(分别为119.9±34.3 μm和63.2±17.3 μm)。通过测量神经突长度证实了定向分化,其中选择性超声刺激诱导细胞分化,通过电磁系统精确传递。基于磁细胞的机器人到达局部超声刺激区域被证实具有增强的分化。这项研究证明了精确的干细胞传递与选择性神经分化相结合以建立功能性神经网络的潜力。
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来源期刊
Microsystems & Nanoengineering
Microsystems & Nanoengineering Materials Science-Materials Science (miscellaneous)
CiteScore
12.00
自引率
3.80%
发文量
123
审稿时长
20 weeks
期刊介绍: Microsystems & Nanoengineering is a comprehensive online journal that focuses on the field of Micro and Nano Electro Mechanical Systems (MEMS and NEMS). It provides a platform for researchers to share their original research findings and review articles in this area. The journal covers a wide range of topics, from fundamental research to practical applications. Published by Springer Nature, in collaboration with the Aerospace Information Research Institute, Chinese Academy of Sciences, and with the support of the State Key Laboratory of Transducer Technology, it is an esteemed publication in the field. As an open access journal, it offers free access to its content, allowing readers from around the world to benefit from the latest developments in MEMS and NEMS.
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