Modified Floating Electrode-Based Sensors for the Quantitative Monitoring of Drug Effects on Cytokine Levels Related with Inflammatory Bowel Diseases
DC Field | Value | Language |
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dc.contributor.author | Viet Anh Pham Ba | - |
dc.contributor.author | Han, Yoo Min | - |
dc.contributor.author | Cho, Youngtak | - |
dc.contributor.author | Kim, Taewan | - |
dc.contributor.author | Lee, Byung Yang | - |
dc.contributor.author | Kim, Joo Sung | - |
dc.contributor.author | Hong, Seunghun | - |
dc.date.accessioned | 2021-09-02T11:25:22Z | - |
dc.date.available | 2021-09-02T11:25:22Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2018-05-23 | - |
dc.identifier.issn | 1944-8244 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/75498 | - |
dc.description.abstract | Modified floating electrode-based sensors were developed to quantitatively monitor the levels of tumor necrosis factor alpha (TNF-alpha), a pro-inflammatory cytokine related with inflammatory bowel disease (IBD), and to evaluate the effect of drugs on the cytokine levels. Here, antibodies (anti-TNF-alpha) were immobilized on the floating electrodes of carbon nanotube devices, enabling selective and real-time detection of TNF-alpha among various cytokines linked to IBD. This sensor was able to measure the concentrations of TNF-alpha with a detection limit of 1 pg/L, allowing the quantitative estimation of TNF-alpha secretion from mouse macrophage Raw 264.7 cells stimulated by lipopolysaccharides (LPS). Notably, this method also allowed us to monitor the anti-inflammatory effect of a drug, lupeol, on the activation of the LPS-induced nuclear factor kappa B signaling in Raw 264.7 cells. These results indicate that our novel TNF sensor can be a versatile tool for biomedical research and clinical applications such as screening drug effects and monitoring inflammation levels. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | AMER CHEMICAL SOC | - |
dc.subject | INTESTINAL EPITHELIAL-CELLS | - |
dc.subject | NECROSIS-FACTOR-ALPHA | - |
dc.subject | FACTOR-KAPPA-B | - |
dc.subject | TNF-ALPHA | - |
dc.subject | MACROPHAGES | - |
dc.subject | MECHANISMS | - |
dc.subject | SECRETION | - |
dc.subject | SERUM | - |
dc.title | Modified Floating Electrode-Based Sensors for the Quantitative Monitoring of Drug Effects on Cytokine Levels Related with Inflammatory Bowel Diseases | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Byung Yang | - |
dc.identifier.doi | 10.1021/acsami.8b04287 | - |
dc.identifier.scopusid | 2-s2.0-85046530570 | - |
dc.identifier.wosid | 000433404100020 | - |
dc.identifier.bibliographicCitation | ACS APPLIED MATERIALS & INTERFACES, v.10, no.20, pp.17100 - 17106 | - |
dc.relation.isPartOf | ACS APPLIED MATERIALS & INTERFACES | - |
dc.citation.title | ACS APPLIED MATERIALS & INTERFACES | - |
dc.citation.volume | 10 | - |
dc.citation.number | 20 | - |
dc.citation.startPage | 17100 | - |
dc.citation.endPage | 17106 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalWebOfScienceCategory | Nanoscience & Nanotechnology | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.subject.keywordPlus | INTESTINAL EPITHELIAL-CELLS | - |
dc.subject.keywordPlus | NECROSIS-FACTOR-ALPHA | - |
dc.subject.keywordPlus | FACTOR-KAPPA-B | - |
dc.subject.keywordPlus | TNF-ALPHA | - |
dc.subject.keywordPlus | MACROPHAGES | - |
dc.subject.keywordPlus | MECHANISMS | - |
dc.subject.keywordPlus | SECRETION | - |
dc.subject.keywordPlus | SERUM | - |
dc.subject.keywordAuthor | carbon nanotube field-effect transistors | - |
dc.subject.keywordAuthor | lupeol | - |
dc.subject.keywordAuthor | lipopolysaccharides | - |
dc.subject.keywordAuthor | tumor necrosis factor alpha | - |
dc.subject.keywordAuthor | Raw 264.7 cells | - |
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