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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
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.
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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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