Spatial-proteomics reveals phospho-signaling dynamics at subcellular resolution
Ana Martinez-Val,
Dorte B. Bekker-Jensen,
Sophia Steigerwald,
Claire Koenig,
Ole Østergaard,
Adi Mehta,
Trung Tran,
Krzysztof Sikorski,
Estefanía Torres-Vega,
Ewa Kwasniewicz,
Sólveig Hlín Brynjólfsdóttir,
Lisa B. Frankel,
Rasmus Kjøbsted,
Nicolai Krogh,
Alicia Lundby,
Simon Bekker-Jensen,
Fridtjof Lund-Johansen () and
Jesper V. Olsen ()
Additional contact information
Ana Martinez-Val: University of Copenhagen
Dorte B. Bekker-Jensen: University of Copenhagen
Sophia Steigerwald: University of Copenhagen
Claire Koenig: University of Copenhagen
Ole Østergaard: University of Copenhagen
Adi Mehta: Oslo University Hospital, Rikshospitalet
Trung Tran: Oslo University Hospital, Rikshospitalet
Krzysztof Sikorski: Oslo University Hospital, Rikshospitalet
Estefanía Torres-Vega: University of Copenhagen
Ewa Kwasniewicz: University of Copenhagen
Sólveig Hlín Brynjólfsdóttir: Danish Cancer Society
Lisa B. Frankel: Danish Cancer Society
Rasmus Kjøbsted: University of Copenhagen
Nicolai Krogh: University of Copenhagen
Alicia Lundby: University of Copenhagen
Simon Bekker-Jensen: University of Copenhagen
Fridtjof Lund-Johansen: Oslo University Hospital, Rikshospitalet
Jesper V. Olsen: University of Copenhagen
Nature Communications, 2021, vol. 12, issue 1, 1-17
Abstract:
Abstract 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 .
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-27398-y
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DOI: 10.1038/s41467-021-27398-y
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