Comparison of Leading Biosensor Technologies to Detect Changes in Human Endothelial Barrier Properties in Response to Pro-Inflammatory TNFα and IL1β in Real-Time.

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dc.contributor.author Hucklesby, James JW
dc.contributor.author Anchan, Akshata
dc.contributor.author O'Carroll, Simon J
dc.contributor.author Unsworth, Charles P
dc.contributor.author Graham, E Scott
dc.contributor.author Angel, Catherine E
dc.coverage.spatial Switzerland
dc.date.accessioned 2022-08-17T23:34:13Z
dc.date.available 2022-08-17T23:34:13Z
dc.date.issued 2021-05-18
dc.identifier.citation (2021). Biosensors, 11(5), 159-.
dc.identifier.issn 2079-6374
dc.identifier.uri https://hdl.handle.net/2292/60843
dc.description.abstract Electric Cell-Substrate Impedance Sensing (ECIS), xCELLigence and cellZscope are commercially available instruments that measure the impedance of cellular monolayers. Despite widespread use of these systems individually, direct comparisons between these platforms have not been published. To compare these instruments, the responses of human brain endothelial monolayers to TNFα and IL1β were measured on all three platforms simultaneously. All instruments detected transient changes in impedance in response to the cytokines, although the response magnitude varied, with ECIS being the most sensitive. ECIS and cellZscope were also able to attribute responses to particular endothelial barrier components by modelling the multifrequency impedance data acquired by these instruments; in contrast the limited frequency xCELLigence data cannot be modelled. Consistent with its superior impedance sensing, ECIS exhibited a greater capacity than cellZscope to distinguish between subtle changes in modelled endothelial monolayer properties. The reduced resolving ability of the cellZscope platform may be due to its electrode configuration, which is necessary to allow access to the basolateral compartment, an important advantage of this instrument. Collectively, this work demonstrates that instruments must be carefully selected to ensure they are appropriate for the experimental questions being asked when assessing endothelial barrier properties.
dc.format.medium Electronic
dc.language eng
dc.publisher MDPI
dc.relation.ispartofseries Biosensors
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Endothelial Cells
dc.subject Humans
dc.subject Tumor Necrosis Factor-alpha
dc.subject Biosensing Techniques
dc.subject Electric Impedance
dc.subject Interleukin-1beta
dc.subject ECIS
dc.subject cellZscope
dc.subject endothelial cell
dc.subject hCMVEC
dc.subject impedance sensing
dc.subject xCELLigence
dc.subject Science & Technology
dc.subject Physical Sciences
dc.subject Technology
dc.subject Chemistry, Analytical
dc.subject Nanoscience & Nanotechnology
dc.subject Instruments & Instrumentation
dc.subject Chemistry
dc.subject Science & Technology - Other Topics
dc.subject CELLS
dc.subject 0301 Analytical Chemistry
dc.subject 0601 Biochemistry and Cell Biology
dc.title Comparison of Leading Biosensor Technologies to Detect Changes in Human Endothelial Barrier Properties in Response to Pro-Inflammatory TNFα and IL1β in Real-Time.
dc.type Journal Article
dc.identifier.doi 10.3390/bios11050159
pubs.issue 5
pubs.begin-page 159
pubs.volume 11
dc.date.updated 2022-07-29T13:41:55Z
dc.rights.holder Copyright: The authors en
dc.identifier.pmid 34069959 (pubmed)
pubs.author-url https://www.ncbi.nlm.nih.gov/pubmed/34069959
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype IM
pubs.subtype research-article
pubs.subtype Journal Article
pubs.elements-id 853846
pubs.org-id Engineering
pubs.org-id Medical and Health Sciences
pubs.org-id Science
pubs.org-id Biological Sciences
pubs.org-id Medical Sciences
pubs.org-id Anatomy and Medical Imaging
pubs.org-id Molecular Medicine
pubs.org-id Engineering Science
dc.identifier.eissn 2079-6374
dc.identifier.pii bios11050159
pubs.number ARTN 159
pubs.record-created-at-source-date 2022-07-30
pubs.online-publication-date 2021-05-18


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