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Application of bio-orthogonal proteome labeling to cell transplantation and heterochronic parabiosis

Studies of heterochronic parabiosis demonstrated that with age, the composition of the circulatory milieu changes in ways that broadly inhibit tissue regenerative capacity. In addition, local tissue niches have age-specific influences on their resident stem cells. Here we use bio-orthogonal proteome...

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Bibliographic Details
Published in:Nature communications 2017-09, Vol.8 (1), p.643-11, Article 643
Main Authors: Liu, Yan, Conboy, Michael J., Mehdipour, Melod, Liu, Yutong, Tran, Thanhtra P., Blotnick, Aaron, Rajan, Prasanna, Santos, Thalie Cavalcante, Conboy, Irina M.
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Language:English
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Summary:Studies of heterochronic parabiosis demonstrated that with age, the composition of the circulatory milieu changes in ways that broadly inhibit tissue regenerative capacity. In addition, local tissue niches have age-specific influences on their resident stem cells. Here we use bio-orthogonal proteome labeling for detecting in vivo proteins present only in transplanted myoblasts, but not in host tissue, and proteins exclusive to one young mouse and transferred during parabiosis to its old partner. We use a transgenic mouse strain that ubiquitously expresses a modified tRNA methionine synthase, metRS, which preferentially incorporates the methionine surrogate azido-nor-leucine (ANL) into newly generated proteins. Using click chemistry and a modified antibody array to detect ANL-labeled proteins, we identify several ‘young’ systemic factors in old regenerating muscle of the heterochronic parabiotic partners. Our approach enables the selective profiling of mammalian proteomes in mixed biological environments such as cell and tissue transplantation, apheresis or parabiosis. Clarifying the source of proteins in mixed biological environments, such as after transplantation or parabiosis, remains a challenge. Here, the authors address this need with a mouse strain that incorporates a methionine derivate into proteins, allowing for their detection using click chemistry and antibody arrays.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-017-00698-y