Proteomics of protein trafficking by in vivo tissue-specific labeling

Ilia A. Droujinine(Scripps Research Institute), Amanda S. Meyer(University of Southern California), Dan Wang(Harvard University), Namrata D. Udeshi(Broad Institute), Yanhui Hu(Harvard University), David Rocco(Harvard University), Jill A. McMahon(University of Southern California), Rui Yang(University of Southern California), Jinjin Guo(University of Southern California), Luye Mu(Yale University), Dominique K. Carey(Broad Institute), Tanya Svinkina(Broad Institute), Rebecca Zeng(Harvard University), Tess C. Branon(Chan Zuckerberg Initiative (United States)), Areya Tabatabai(Harvard University), Justin A. Bosch(Harvard University), John M. Asara(Beth Israel Deaconess Medical Center), Alice Y. Ting(Chan Zuckerberg Initiative (United States)), Steven A. Carr(Broad Institute), Andrew P. McMahon(University of Southern California), Norbert Perrimon(Howard Hughes Medical Institute)
Nature Communications
April 22, 2021
Cited by 115Open Access
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Abstract

Conventional approaches to identify secreted factors that regulate homeostasis are limited in their abilities to identify the tissues/cells of origin and destination. We established a platform to identify secreted protein trafficking between organs using an engineered biotin ligase (BirA*G3) that biotinylates, promiscuously, proteins in a subcellular compartment of one tissue. Subsequently, biotinylated proteins are affinity-enriched and identified from distal organs using quantitative mass spectrometry. Applying this approach in Drosophila, we identify 51 muscle-secreted proteins from heads and 269 fat body-secreted proteins from legs/muscles, including CG2145 (human ortholog ENDOU) that binds directly to muscles and promotes activity. In addition, in mice, we identify 291 serum proteins secreted from conditional BirA*G3 embryo stem cell-derived teratomas, including low-abundance proteins with hormonal properties. Our findings indicate that the communication network of secreted proteins is vast. This approach has broad potential across different model systems to identify cell-specific secretomes and mediators of interorgan communication in health or disease.


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