David Eun Reynolds, Yoon Ho Roh, Uday Chintapula, Emily Huynh, Phoebe Vallapureddy, Hong Huy Tran, Daeyeon Lee, Mark G. Allen, Xiaowei Xu, Jina Ko
{"title":"Vertically Aligned Nanowires for Longitudinal Intracellular Sampling","authors":"David Eun Reynolds, Yoon Ho Roh, Uday Chintapula, Emily Huynh, Phoebe Vallapureddy, Hong Huy Tran, Daeyeon Lee, Mark G. Allen, Xiaowei Xu, Jina Ko","doi":"10.1021/acsnano.4c18297","DOIUrl":null,"url":null,"abstract":"Cells are diverse systems with unique molecular profiles that support vital functions, such as energy production and nutrient absorption. Advances in omics have provided valuable insights into these cellular processes, but many of these tools rely on cell lysis, limiting the ability to track dynamic changes over time. To overcome this, methods for longitudinal profiling of living cells have emerged; however, challenges such as low throughput and genetic manipulation still need to be addressed. Nanomaterials, particularly nanowires, offer a promising solution due to their size, high aspect ratios, low cost, simplicity, and potential for high-throughput manufacturing. Here, we present a nanowire-based platform for longitudinal mRNA profiling in living cells using vertically aligned nickel nanowire arrays for efficient mRNA extraction with minimal cellular disruption. We demonstrate its ability to track enhanced green fluorescent protein expression and transcriptomic changes from drug responses in the same cells over time, showcasing the platform’s potential for dynamic cellular analysis.","PeriodicalId":21,"journal":{"name":"ACS Nano","volume":"35 1","pages":""},"PeriodicalIF":15.8000,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Nano","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1021/acsnano.4c18297","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Cells are diverse systems with unique molecular profiles that support vital functions, such as energy production and nutrient absorption. Advances in omics have provided valuable insights into these cellular processes, but many of these tools rely on cell lysis, limiting the ability to track dynamic changes over time. To overcome this, methods for longitudinal profiling of living cells have emerged; however, challenges such as low throughput and genetic manipulation still need to be addressed. Nanomaterials, particularly nanowires, offer a promising solution due to their size, high aspect ratios, low cost, simplicity, and potential for high-throughput manufacturing. Here, we present a nanowire-based platform for longitudinal mRNA profiling in living cells using vertically aligned nickel nanowire arrays for efficient mRNA extraction with minimal cellular disruption. We demonstrate its ability to track enhanced green fluorescent protein expression and transcriptomic changes from drug responses in the same cells over time, showcasing the platform’s potential for dynamic cellular analysis.
期刊介绍:
ACS Nano, published monthly, serves as an international forum for comprehensive articles on nanoscience and nanotechnology research at the intersections of chemistry, biology, materials science, physics, and engineering. The journal fosters communication among scientists in these communities, facilitating collaboration, new research opportunities, and advancements through discoveries. ACS Nano covers synthesis, assembly, characterization, theory, and simulation of nanostructures, nanobiotechnology, nanofabrication, methods and tools for nanoscience and nanotechnology, and self- and directed-assembly. Alongside original research articles, it offers thorough reviews, perspectives on cutting-edge research, and discussions envisioning the future of nanoscience and nanotechnology.