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Defining ELISpot cut-offs from unreplicated test and control wells
In the absence of replication of wells, empirical criteria for enzyme-linked immunospot (ELISpot) positivity use fixed differences or ratios between spot forming units (SFU) counts between test and control. We propose an alternative approach which first identifies the optimally variance-stabilizing...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3657161/ https://www.ncbi.nlm.nih.gov/pubmed/23500146 http://dx.doi.org/10.1016/j.jim.2013.02.014 |
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author | Alexander, Neal Fox, Annette Lien, Vu Thi Kim Dong, Tao Lee, Laurel Yong-Hwa Le Khanh Hang, Nguyen Mai, Le Quynh Horby, Peter |
author_facet | Alexander, Neal Fox, Annette Lien, Vu Thi Kim Dong, Tao Lee, Laurel Yong-Hwa Le Khanh Hang, Nguyen Mai, Le Quynh Horby, Peter |
author_sort | Alexander, Neal |
collection | PubMed |
description | In the absence of replication of wells, empirical criteria for enzyme-linked immunospot (ELISpot) positivity use fixed differences or ratios between spot forming units (SFU) counts between test and control. We propose an alternative approach which first identifies the optimally variance-stabilizing transformation of the SFU counts, based on the Bland–Altman plot of the test and control wells. The second step is to derive a positivity threshold from the difference in between-plate distribution functions of the transformed test and control SFU counts. This method is illustrated using 1309 assay results from a cohort study of influenza in Vietnam in which some, but not all, of the peptide pools have clear tendencies for SFU counts to be higher in test than control wells. |
format | Online Article Text |
id | pubmed-3657161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-36571612013-06-28 Defining ELISpot cut-offs from unreplicated test and control wells Alexander, Neal Fox, Annette Lien, Vu Thi Kim Dong, Tao Lee, Laurel Yong-Hwa Le Khanh Hang, Nguyen Mai, Le Quynh Horby, Peter J Immunol Methods Technical Note In the absence of replication of wells, empirical criteria for enzyme-linked immunospot (ELISpot) positivity use fixed differences or ratios between spot forming units (SFU) counts between test and control. We propose an alternative approach which first identifies the optimally variance-stabilizing transformation of the SFU counts, based on the Bland–Altman plot of the test and control wells. The second step is to derive a positivity threshold from the difference in between-plate distribution functions of the transformed test and control SFU counts. This method is illustrated using 1309 assay results from a cohort study of influenza in Vietnam in which some, but not all, of the peptide pools have clear tendencies for SFU counts to be higher in test than control wells. Elsevier 2013-06-28 /pmc/articles/PMC3657161/ /pubmed/23500146 http://dx.doi.org/10.1016/j.jim.2013.02.014 Text en © 2013 Elsevier B.V. https://creativecommons.org/licenses/by/3.0/ Open Access under CC BY 3.0 (https://creativecommons.org/licenses/by/3.0/) license |
spellingShingle | Technical Note Alexander, Neal Fox, Annette Lien, Vu Thi Kim Dong, Tao Lee, Laurel Yong-Hwa Le Khanh Hang, Nguyen Mai, Le Quynh Horby, Peter Defining ELISpot cut-offs from unreplicated test and control wells |
title | Defining ELISpot cut-offs from unreplicated test and control wells |
title_full | Defining ELISpot cut-offs from unreplicated test and control wells |
title_fullStr | Defining ELISpot cut-offs from unreplicated test and control wells |
title_full_unstemmed | Defining ELISpot cut-offs from unreplicated test and control wells |
title_short | Defining ELISpot cut-offs from unreplicated test and control wells |
title_sort | defining elispot cut-offs from unreplicated test and control wells |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3657161/ https://www.ncbi.nlm.nih.gov/pubmed/23500146 http://dx.doi.org/10.1016/j.jim.2013.02.014 |
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