Proteomics of protein trafficking by in vivo tissue-specific labeling

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作者
Ilia A. Droujinine
Amanda S. Meyer
Dan Wang
Namrata D. Udeshi
Yanhui Hu
David Rocco
Jill A. McMahon
Rui Yang
JinJin Guo
Luye Mu
Dominique K. Carey
Tanya Svinkina
Rebecca Zeng
Tess Branon
Areya Tabatabai
Justin A. Bosch
John M. Asara
Alice Y. Ting
Steven A. Carr
Andrew P. McMahon
Norbert Perrimon
机构
[1] Department of Genetics,Department of Stem Cell Biology and Regenerative Medicine
[2] Blavatnik Institute,Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research
[3] Harvard Medical School,Department of Entomology
[4] University of Southern California,Department of Electrical Engineering
[5] University of Southern California,Departments of Genetics, Biology, and Chemistry
[6] China Agricultural University,undefined
[7] Broad Institute of Harvard and MIT,undefined
[8] Yale University,undefined
[9] Chan Zuckerberg Biohub,undefined
[10] Department of Medicine,undefined
[11] Harvard Medical School,undefined
[12] Division of Signal Transduction,undefined
[13] Beth Israel Deaconess Medical Center,undefined
[14] Stanford University,undefined
[15] Howard Hughes Medical Institute,undefined
[16] Department of Molecular Medicine,undefined
[17] Scripps Research,undefined
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摘要
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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