Exploration of cell state heterogeneity using single-cell proteomics through sensitivity-tailored data-independent acquisition

Single-cell resolution analysis of complex biological tissues is fundamental to capture cell-state heterogeneity and distinct cellular signaling patterns that remain obscured with population-based techniques. The limited amount of material encapsulated in a single cell however, raises significant te...

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Detalles Bibliográficos
Autores principales: Petrosius, Valdemaras, Aragon-Fernandez, Pedro, Üresin, Nil, Kovacs, Gergo, Phlairaharn, Teeradon, Furtwängler, Benjamin, Op De Beeck, Jeff, Skovbakke, Sarah L., Goletz, Steffen, Thomsen, Simon Francis, Keller, Ulrich auf dem, Natarajan, Kedar N., Porse, Bo T., Schoof, Erwin M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517177/
https://www.ncbi.nlm.nih.gov/pubmed/37737208
http://dx.doi.org/10.1038/s41467-023-41602-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10517177/
https://www.ncbi.nlm.nih.gov/pubmed/37737208
http://dx.doi.org/10.1038/s41467-023-41602-1

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