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Spatial-proteomics reveals phospho-signaling dynamics at subcellular resolution

Dynamic change in subcellular localization of signaling proteins is a general concept that eukaryotic cells evolved for eliciting a coordinated response to stimuli. Mass spectrometry-based proteomics in combination with subcellular fractionation can provide comprehensive maps of spatio-temporal regu...

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Detalles Bibliográficos
Autores principales: Martinez-Val, Ana, Bekker-Jensen, Dorte B., Steigerwald, Sophia, Koenig, Claire, Østergaard, Ole, Mehta, Adi, Tran, Trung, Sikorski, Krzysztof, Torres-Vega, Estefanía, Kwasniewicz, Ewa, Brynjólfsdóttir, Sólveig Hlín, Frankel, Lisa B., Kjøbsted, Rasmus, Krogh, Nicolai, Lundby, Alicia, Bekker-Jensen, Simon, Lund-Johansen, Fridtjof, Olsen, Jesper V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8651693/
https://www.ncbi.nlm.nih.gov/pubmed/34876567
http://dx.doi.org/10.1038/s41467-021-27398-y
Descripción
Sumario:Dynamic change in subcellular localization of signaling proteins is a general concept that eukaryotic cells evolved for eliciting a coordinated response to stimuli. Mass spectrometry-based proteomics in combination with subcellular fractionation can provide comprehensive maps of spatio-temporal regulation of protein networks in cells, but involves laborious workflows that does not cover the phospho-proteome level. Here we present a high-throughput workflow based on sequential cell fractionation to profile the global proteome and phospho-proteome dynamics across six distinct subcellular fractions. We benchmark the workflow by studying spatio-temporal EGFR phospho-signaling dynamics in vitro in HeLa cells and in vivo in mouse tissues. Finally, we investigate the spatio-temporal stress signaling, revealing cellular relocation of ribosomal proteins in response to hypertonicity and muscle contraction. Proteomics data generated in this study can be explored through https://SpatialProteoDynamics.github.io.