High-throughput single-cell quantification of hundreds of proteins using conventional flow cytometry and machine learning

Modern immunologic research increasingly requires high-dimensional analyses to understand the complex milieu of cell types that comprise the tissue microenvironments of disease. To achieve this, we developed Infinity Flow combining hundreds of overlapping flow cytometry panels using machine learning...

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Detalles Bibliográficos
Autores principales: Becht, Etienne, Tolstrup, Daniel, Dutertre, Charles-Antoine, Morawski, Peter A., Campbell, Daniel J., Ginhoux, Florent, Newell, Evan W., Gottardo, Raphael, Headley, Mark B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2021
Materias:
Biomedicine and Life Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457665/
https://www.ncbi.nlm.nih.gov/pubmed/34550730
http://dx.doi.org/10.1126/sciadv.abg0505

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457665/
https://www.ncbi.nlm.nih.gov/pubmed/34550730
http://dx.doi.org/10.1126/sciadv.abg0505

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