Multicellular self-organization relies on complex interactions across multiple length scales, shaping the transcriptional activity and molecular phenotype of individual cells. Despite advances in spatial omics technologies, mapping protein state composition at high spatial resolution to capture the molecular phenotype...
Max Hess, M. Wyss, Edlyn Wu et al.· bioRxiv· 3 citations
Multicellular organization relies on reciprocal interactions between molecular events, such as gene expression and protein state, and higher-scale properties, such as spatial patterning and tissue architecture. Understanding these processes requires methods that enable quantitative measurements at subcellular resolutio...
M. Wyss, Max Hess, Shayan Shamipour et al.· Bio-protocol· 0 citations
The cell cycle phase is the major source of variability in transcription within a division cycle, and combining this with the analysis of key transcription factors and chromatin modifier state enables accurate prediction of transcriptional output during zygotic genome activation in individual cells.
Max Hess, M. Wyss, Edlyn Wu et al.· Nature Communications· 0 citations
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