基于井板的局部电穿孔工作流程,用于快速优化细胞内给药。

IF 1 Q3 BIOLOGY Bio-protocol Pub Date : 2024-07-20 DOI:10.21769/BioProtoc.5037
Cesar A Patino, Sevketcan Sarikaya, Prithvijit Mukherjee, Nibir Pathak, Horacio D Espinosa
{"title":"基于井板的局部电穿孔工作流程,用于快速优化细胞内给药。","authors":"Cesar A Patino, Sevketcan Sarikaya, Prithvijit Mukherjee, Nibir Pathak, Horacio D Espinosa","doi":"10.21769/BioProtoc.5037","DOIUrl":null,"url":null,"abstract":"<p><p>Efficient and nontoxic delivery of foreign cargo into cells is a critical step in many biological studies and cell engineering workflows with applications in areas such as biomanufacturing and cell-based therapeutics. However, effective molecular delivery into cells involves optimizing several experimental parameters. In the case of electroporation-based intracellular delivery, there is a need to optimize parameters like pulse voltage, duration, buffer type, and cargo concentration for each unique application. Here, we present the protocol for fabricating and utilizing a high-throughput multi-well localized electroporation device (LEPD) assisted by deep learning-based image analysis to enable rapid optimization of experimental parameters for efficient and nontoxic molecular delivery into cells. The LEPD and the optimization workflow presented herein are relevant to both adherent and suspended cell types and different molecular cargo (DNA, RNA, and proteins). The workflow enables multiplexed combinatorial experiments and can be adapted to cell engineering applications requiring in vitro delivery. Key features • A high-throughput multi-well localized electroporation device (LEPD) that can be optimized for both adherent and suspended cell types. • Allows for multiplexed experiments combined with tailored pulse voltage, duration, buffer type, and cargo concentration. • Compatible with various molecular cargoes, including DNA, RNA, and proteins, enhancing its versatility for cell engineering applications. • Integration with deep learning-based image analysis enables rapid optimization of experimental parameters.</p>","PeriodicalId":93907,"journal":{"name":"Bio-protocol","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11291937/pdf/","citationCount":"0","resultStr":"{\"title\":\"Well Plate-Based Localized Electroporation Workflow for Rapid Optimization of Intracellular Delivery.\",\"authors\":\"Cesar A Patino, Sevketcan Sarikaya, Prithvijit Mukherjee, Nibir Pathak, Horacio D Espinosa\",\"doi\":\"10.21769/BioProtoc.5037\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Efficient and nontoxic delivery of foreign cargo into cells is a critical step in many biological studies and cell engineering workflows with applications in areas such as biomanufacturing and cell-based therapeutics. However, effective molecular delivery into cells involves optimizing several experimental parameters. In the case of electroporation-based intracellular delivery, there is a need to optimize parameters like pulse voltage, duration, buffer type, and cargo concentration for each unique application. Here, we present the protocol for fabricating and utilizing a high-throughput multi-well localized electroporation device (LEPD) assisted by deep learning-based image analysis to enable rapid optimization of experimental parameters for efficient and nontoxic molecular delivery into cells. The LEPD and the optimization workflow presented herein are relevant to both adherent and suspended cell types and different molecular cargo (DNA, RNA, and proteins). The workflow enables multiplexed combinatorial experiments and can be adapted to cell engineering applications requiring in vitro delivery. Key features • A high-throughput multi-well localized electroporation device (LEPD) that can be optimized for both adherent and suspended cell types. • Allows for multiplexed experiments combined with tailored pulse voltage, duration, buffer type, and cargo concentration. • Compatible with various molecular cargoes, including DNA, RNA, and proteins, enhancing its versatility for cell engineering applications. • Integration with deep learning-based image analysis enables rapid optimization of experimental parameters.</p>\",\"PeriodicalId\":93907,\"journal\":{\"name\":\"Bio-protocol\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11291937/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bio-protocol\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21769/BioProtoc.5037\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bio-protocol","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21769/BioProtoc.5037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

在许多生物研究和细胞工程工作流程中,将外来物质高效、无毒地输送到细胞中是一个关键步骤,可应用于生物制造和细胞疗法等领域。然而,要将分子有效地输送到细胞中,需要优化多个实验参数。就基于电穿孔的细胞内递送而言,需要针对每种独特的应用优化脉冲电压、持续时间、缓冲液类型和货物浓度等参数。在此,我们介绍了制作和使用高通量多孔局部电穿孔装置(LEPD)的方案,该方案由基于深度学习的图像分析辅助,可快速优化实验参数,实现高效、无毒的细胞内分子递送。本文介绍的 LEPD 和优化工作流程适用于粘附和悬浮细胞类型以及不同的分子货物(DNA、RNA 和蛋白质)。该工作流程可进行多重组合实验,并适用于需要体外递送的细胞工程应用。主要特点 - 高通量多孔局部电穿孔设备(LEPD),可针对粘附和悬浮细胞类型进行优化。- 可结合定制的脉冲电压、持续时间、缓冲液类型和货物浓度进行多重实验。- 兼容各种分子货物,包括 DNA、RNA 和蛋白质,增强了细胞工程应用的多功能性。- 与基于深度学习的图像分析相结合,可快速优化实验参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Well Plate-Based Localized Electroporation Workflow for Rapid Optimization of Intracellular Delivery.

Efficient and nontoxic delivery of foreign cargo into cells is a critical step in many biological studies and cell engineering workflows with applications in areas such as biomanufacturing and cell-based therapeutics. However, effective molecular delivery into cells involves optimizing several experimental parameters. In the case of electroporation-based intracellular delivery, there is a need to optimize parameters like pulse voltage, duration, buffer type, and cargo concentration for each unique application. Here, we present the protocol for fabricating and utilizing a high-throughput multi-well localized electroporation device (LEPD) assisted by deep learning-based image analysis to enable rapid optimization of experimental parameters for efficient and nontoxic molecular delivery into cells. The LEPD and the optimization workflow presented herein are relevant to both adherent and suspended cell types and different molecular cargo (DNA, RNA, and proteins). The workflow enables multiplexed combinatorial experiments and can be adapted to cell engineering applications requiring in vitro delivery. Key features • A high-throughput multi-well localized electroporation device (LEPD) that can be optimized for both adherent and suspended cell types. • Allows for multiplexed experiments combined with tailored pulse voltage, duration, buffer type, and cargo concentration. • Compatible with various molecular cargoes, including DNA, RNA, and proteins, enhancing its versatility for cell engineering applications. • Integration with deep learning-based image analysis enables rapid optimization of experimental parameters.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
1.50
自引率
0.00%
发文量
0
期刊最新文献
An Automated pre-Dilution Setup for Von Willebrand Factor Activity Assays. An Imaging-Based Assay to Measure the Location of PD-1 at the Immune Synapse for Testing the Binding Efficacy of Anti-PD-1 and Anti-PD-L1 Antibodies. Endothelin-1-Induced Persistent Ischemia in a Chicken Embryo Model. Evaluating Mechanisms of Soil Microbiome Suppression of Striga Infection in Sorghum. Laser-Assisted Microdissection and High-Throughput RNA Sequencing of the Arabidopsis Gynoecium Medial and Lateral Domains.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1