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

Author

Listed:
  • Yan Liu

    (UC Berkeley and QB3 Institutes
    The 7th affiliated hospital of Sun Yat-Sen University)

  • Michael J. Conboy

    (UC Berkeley and QB3 Institutes)

  • Melod Mehdipour

    (UC Berkeley and QB3 Institutes)

  • Yutong Liu

    (UC Berkeley and QB3 Institutes)

  • Thanhtra P. Tran

    (UC Berkeley and QB3 Institutes)

  • Aaron Blotnick

    (UC Berkeley and QB3 Institutes)

  • Prasanna Rajan

    (UC Berkeley and QB3 Institutes)

  • Thalie Cavalcante Santos

    (UC Berkeley and QB3 Institutes)

  • Irina M. Conboy

    (UC Berkeley and QB3 Institutes)

Abstract

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.

Suggested Citation

  • Yan Liu & Michael J. Conboy & Melod Mehdipour & Yutong Liu & Thanhtra P. Tran & Aaron Blotnick & Prasanna Rajan & Thalie Cavalcante Santos & Irina M. Conboy, 2017. "Application of bio-orthogonal proteome labeling to cell transplantation and heterochronic parabiosis," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-00698-y
    DOI: 10.1038/s41467-017-00698-y
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    Cited by:

    1. Jonathan J. Swietlik & Stefanie Bärthel & Chiara Falcomatà & Diana Fink & Ankit Sinha & Jingyuan Cheng & Stefan Ebner & Peter Landgraf & Daniela C. Dieterich & Henrik Daub & Dieter Saur & Felix Meissn, 2023. "Cell-selective proteomics segregates pancreatic cancer subtypes by extracellular proteins in tumors and circulation," Nature Communications, Nature, vol. 14(1), pages 1-17, December.

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