Quantitative single-cell proteomics as a tool to characterize cellular hierarchies

Single-cell proteomics can provide insights into the molecular basis for cellular heterogeneity. Here, the authors develop a multiplexed single-cell proteomics and computational workflow, and show that their strategy captures the cellular hierarchies in an Acute Myeloid Leukemia culture model.

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Autores principales:	Erwin M. Schoof, Benjamin Furtwängler, Nil Üresin, Nicolas Rapin, Simonas Savickas, Coline Gentil, Eric Lechman, Ulrich auf dem Keller, John E. Dick, Bo T. Porse
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/e6eed179838c43b99f45da74c1d34042
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spelling	oai:doaj.org-article:e6eed179838c43b99f45da74c1d340422021-12-02T17:52:08ZQuantitative single-cell proteomics as a tool to characterize cellular hierarchies10.1038/s41467-021-23667-y2041-1723https://doaj.org/article/e6eed179838c43b99f45da74c1d340422021-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23667-yhttps://doaj.org/toc/2041-1723Single-cell proteomics can provide insights into the molecular basis for cellular heterogeneity. Here, the authors develop a multiplexed single-cell proteomics and computational workflow, and show that their strategy captures the cellular hierarchies in an Acute Myeloid Leukemia culture model.Erwin M. SchoofBenjamin FurtwänglerNil ÜresinNicolas RapinSimonas SavickasColine GentilEric LechmanUlrich auf dem KellerJohn E. DickBo T. PorseNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Erwin M. Schoof Benjamin Furtwängler Nil Üresin Nicolas Rapin Simonas Savickas Coline Gentil Eric Lechman Ulrich auf dem Keller John E. Dick Bo T. Porse Quantitative single-cell proteomics as a tool to characterize cellular hierarchies
description	Single-cell proteomics can provide insights into the molecular basis for cellular heterogeneity. Here, the authors develop a multiplexed single-cell proteomics and computational workflow, and show that their strategy captures the cellular hierarchies in an Acute Myeloid Leukemia culture model.
format	article
author	Erwin M. Schoof Benjamin Furtwängler Nil Üresin Nicolas Rapin Simonas Savickas Coline Gentil Eric Lechman Ulrich auf dem Keller John E. Dick Bo T. Porse
author_facet	Erwin M. Schoof Benjamin Furtwängler Nil Üresin Nicolas Rapin Simonas Savickas Coline Gentil Eric Lechman Ulrich auf dem Keller John E. Dick Bo T. Porse
author_sort	Erwin M. Schoof
title	Quantitative single-cell proteomics as a tool to characterize cellular hierarchies
title_short	Quantitative single-cell proteomics as a tool to characterize cellular hierarchies
title_full	Quantitative single-cell proteomics as a tool to characterize cellular hierarchies
title_fullStr	Quantitative single-cell proteomics as a tool to characterize cellular hierarchies
title_full_unstemmed	Quantitative single-cell proteomics as a tool to characterize cellular hierarchies
title_sort	quantitative single-cell proteomics as a tool to characterize cellular hierarchies
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e6eed179838c43b99f45da74c1d34042
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Quantitative single-cell proteomics as a tool to characterize cellular hierarchies

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