Digitally Driven Aerosol Jet Printing to Enable Customisable Neuronal Guidance.
Digitally Driven Aerosol Jet Printing to Enable Customisable Neuronal Guidance.
复制标题
数字驱动的气溶胶喷气打印以实现可定制的神经元指导。
DOI:
10.3389/fcell.2021.722294
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发表时间:
2021
影响因子:
5.5
通讯作者:
Harris RA
中科院分区:
文献类型:
--
作者:
Capel AJ;Smith MAA;Taccola S;Pardo-Figuerez M;Rimington RP;Lewis MP;Christie SDR;Kay RW;Harris RA
Digitally driven manufacturing technologies such as aerosol jet printing (AJP) can make a significant contribution to enabling new capabilities in the field of tissue engineering disease modeling and drug screening. AJP is an emerging non-contact and mask-less printing process which has distinct advantages over other patterning technologies as it offers versatile, high-resolution, direct-write deposition of a variety of materials on planar and non-planar surfaces. This research demonstrates the ability of AJP to print digitally controlled patterns that influence neuronal guidance. These consist of patterned poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT:PSS) tracks on both glass and poly(potassium 3-sulfopropyl methacrylate) (PKSPMA) coated glass surfaces, promoting selective adhesion of SH-SY5Y neuroblastoma cells. The cell attractive patterns had a maximum height ≥0.2 μm, width and half height ≥15 μm, Ra = 3.5 nm, and RMS = 4.1. The developed biocompatible PEDOT:PSS ink was shown to promote adhesion, growth and differentiation of SH-SY5Y neuronal cells. SH-SY5Y cells cultured directly onto these features exhibited increased nuclei and neuronal alignment on both substrates. In addition, the cell adhesion to the substrate was selective when cultured onto the PKSPMA surfaces resulting in a highly organized neural pattern. This demonstrated the ability to rapidly and flexibly realize intricate and accurate cell patterns by a computer controlled process.
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影响因子:
2.8
作者:
Filipponi L;Livingston P;Kašpar O;Tokárová V;Nicolau DV
通讯作者:
Nicolau DV
影响因子:
19
作者:
Gomez, Natalia;Lee, Jae Y.;Schmidt, Christine E.
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Schmidt, Christine E.
影响因子:
9.5
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Frisbie, C. Daniel
影响因子:
41.2
作者:
Lind JU;Busbee TA;Valentine AD;Pasqualini FS;Yuan H;Yadid M;Park SJ;Kotikian A;Nesmith AP;Campbell PH;Vlassak JJ;Lewis JA;Parker KK
通讯作者:
Parker KK
影响因子:
5.7
作者:
Denchai A;Tartarini D;Mele E
通讯作者:
Mele E