Nature CommunicationsDevelopmental BiologyPeer-reviewed journal article
Spatiotemporal proteomics reveals dynamic antagonistic gradients shaping signalling waves
Wilke H. M. MeijeriD, Virginia AndradeiD, Suzan StellooiD, Wouter M. Thomas, Marek J. van OostromiD, Balaji Srinivasan, Dimitri FabrègesiD, Sita Venkataraman, Sonja D. C. WeteringsiD, Jan-Daniël de Leede-ScheveniD, Eveline F. Ilcken, Kim T. J. PetersiD, Michiel VermeuleniD, Katharina F. SonneniD
Abstract
Embryonic development is driven by dynamic protein networks, yet how these dynamics shape morphogenesis remains incompletely understood. Somitogenesis, the rhythmic segmentation of vertebrate embryos, is governed by signalling gradients and oscillations in the presomitic mesoderm (PSM)1,2, but the corresponding protein dynamics are largely unknown. Perturbations in this process cause congenital spine disorders and can result in embryonic lethality3. Here, we introduce an integrated proteomics and microfluidics approach to resolve spatiotemporal protein expression in the developing mouse tail. To this end, we established a microfluidic system to synchronize oscillations in embryo tails grown in 3D, which we combined with mass-spectrometry and RNA sequencing. We uncover novel oscillatory proteins and differentially expressed genes along the anteroposterior axis. Building on this dataset, we identify a previously unrecognized antagonistic, dynamic ligand-receptor expression pattern in R-Spondin/LGR signalling explaining how Wnt-oscillation amplitude increases despite decreasing ligand levels in anterior PSM. Dynamic ligand expression was validated in mouse gastruloids. Perturbation of ligand dynamics reduced oscillation amplitude and impaired somite formation. Our study reveals a novel regulatory strategy in which dynamic antagonistic gradients fine-tune signalling strength, providing new mechanistic insight into how protein dynamics control tissue patterning. We anticipate our dataset to serve as foundation for mechanistic investigations of mammalian somitogenesis including the role of mechanics and metabolism. More broadly, our approach combining microfluidics-based synchronization of signalling in multicellular systems with omics analyses can be applied to study dynamics in other contexts such as in tissue homeostasis4 and regeneration5.
- organism: mouse
- assay: proteomics
- research focus: cell type annotation
- research focus: differential expression
- approach: experimental assay
- Citations
- 1
- FWCI
- 2.04
- Field percentile
- top 22%
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