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An indicator cell assay for blood-based diagnostics
We have established proof of principle for the Indicator Cell Assay Platform™ (iCAP™), a broadly applicable tool for blood-based diagnostics that uses specifically-selected, standardized cells as biosensors, relying on their innate ability to integrate and respond to diverse signals present in patie...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5464608/ https://www.ncbi.nlm.nih.gov/pubmed/28594877 http://dx.doi.org/10.1371/journal.pone.0178608 |
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author | Danziger, Samuel A. Miller, Leslie R. Singh, Karanbir Whitney, G. Adam Peskind, Elaine R. Li, Ge Lipshutz, Robert J. Aitchison, John D. Smith, Jennifer J. |
author_facet | Danziger, Samuel A. Miller, Leslie R. Singh, Karanbir Whitney, G. Adam Peskind, Elaine R. Li, Ge Lipshutz, Robert J. Aitchison, John D. Smith, Jennifer J. |
author_sort | Danziger, Samuel A. |
collection | PubMed |
description | We have established proof of principle for the Indicator Cell Assay Platform™ (iCAP™), a broadly applicable tool for blood-based diagnostics that uses specifically-selected, standardized cells as biosensors, relying on their innate ability to integrate and respond to diverse signals present in patients’ blood. To develop an assay, indicator cells are exposed in vitro to serum from case or control subjects and their global differential response patterns are used to train reliable, disease classifiers based on a small number of features. In a feasibility study, the iCAP detected pre-symptomatic disease in a murine model of amyotrophic lateral sclerosis (ALS) with 94% accuracy (p-Value = 3.81E-6) and correctly identified samples from a murine Huntington’s disease model as non-carriers of ALS. Beyond the mouse model, in a preliminary human disease study, the iCAP detected early stage Alzheimer’s disease with 72% cross-validated accuracy (p-Value = 3.10E-3). For both assays, iCAP features were enriched for disease-related genes, supporting the assay’s relevance for disease research. |
format | Online Article Text |
id | pubmed-5464608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54646082017-06-22 An indicator cell assay for blood-based diagnostics Danziger, Samuel A. Miller, Leslie R. Singh, Karanbir Whitney, G. Adam Peskind, Elaine R. Li, Ge Lipshutz, Robert J. Aitchison, John D. Smith, Jennifer J. PLoS One Research Article We have established proof of principle for the Indicator Cell Assay Platform™ (iCAP™), a broadly applicable tool for blood-based diagnostics that uses specifically-selected, standardized cells as biosensors, relying on their innate ability to integrate and respond to diverse signals present in patients’ blood. To develop an assay, indicator cells are exposed in vitro to serum from case or control subjects and their global differential response patterns are used to train reliable, disease classifiers based on a small number of features. In a feasibility study, the iCAP detected pre-symptomatic disease in a murine model of amyotrophic lateral sclerosis (ALS) with 94% accuracy (p-Value = 3.81E-6) and correctly identified samples from a murine Huntington’s disease model as non-carriers of ALS. Beyond the mouse model, in a preliminary human disease study, the iCAP detected early stage Alzheimer’s disease with 72% cross-validated accuracy (p-Value = 3.10E-3). For both assays, iCAP features were enriched for disease-related genes, supporting the assay’s relevance for disease research. Public Library of Science 2017-06-08 /pmc/articles/PMC5464608/ /pubmed/28594877 http://dx.doi.org/10.1371/journal.pone.0178608 Text en © 2017 Danziger et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Danziger, Samuel A. Miller, Leslie R. Singh, Karanbir Whitney, G. Adam Peskind, Elaine R. Li, Ge Lipshutz, Robert J. Aitchison, John D. Smith, Jennifer J. An indicator cell assay for blood-based diagnostics |
title | An indicator cell assay for blood-based diagnostics |
title_full | An indicator cell assay for blood-based diagnostics |
title_fullStr | An indicator cell assay for blood-based diagnostics |
title_full_unstemmed | An indicator cell assay for blood-based diagnostics |
title_short | An indicator cell assay for blood-based diagnostics |
title_sort | indicator cell assay for blood-based diagnostics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5464608/ https://www.ncbi.nlm.nih.gov/pubmed/28594877 http://dx.doi.org/10.1371/journal.pone.0178608 |
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