Fully automated sequential immunofluorescence (seqIF) for hyperplex spatial proteomics

Fully automated sequential immunofluorescence (seqIF) for hyperplex spatial proteomics

Abstract Tissues are complex environments where different cell types are in constant interaction with each other and with non-cellular components. Preserving the spatial context during proteomics analyses of tissue samples has become an important objective for different applications, one of the most...

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Bibliographic Details
Main Authors: François Rivest, Deniz Eroglu, Benjamin Pelz, Joanna Kowal, Alexandre Kehren, Vytautas Navikas, Maria Giuseppina Procopio, Pino Bordignon, Emilie Pérès, Marco Ammann, Emmanuel Dorel, Sylvain Scalmazzi, Lorenzo Bruno, Matthieu Ruegg, Gabriel Campargue, Gilles Casqueiro, Lionel Arn, Jérôme Fischer, Saska Brajkovic, Pierre Joris, Marco Cassano, Diego Dupouy
Format: Article
Language:English
Published: Nature Portfolio 2023-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-43435-w

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https://doi.org/10.1038/s41598-023-43435-w

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