4.7 Article

Quantitative Temporal in Vivo Proteomics Deciphers the Transition of Virus-Driven Myeloid Cells into M2 Macrophages

期刊

JOURNAL OF PROTEOME RESEARCH
卷 16, 期 9, 页码 3391-3406

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.jproteome.7b00425

关键词

myeloid cells; infection; proteomics; M2-like macrophages

资金

  1. Canadian Institutes of Health Research (CIHR)
  2. Terry Fox Research Institute (TFRI)
  3. CIHR
  4. Cancer Research Training Program (CRTP) of BHCRI
  5. Nova Scotia Health Research Foundation (NSHRF)
  6. Nova Scotia Graduate Scholarships
  7. NIH/NIDDK [K01 DK098285]
  8. Wellcome Trust Senior Fellowship [108070/Z/15/Z]

向作者/读者索取更多资源

Myeloid cells play a central role in the context of viral eradication, yet precisely how these cells differentiate throughout the course of acute infections is poorly understood. In this study, we have developed a novel quantitative temporal in vivo proteomics (QTiPs) platform to capture proteomic signatures of temporally transitioning virus-driven myeloid cells directly in situ, thus taking into consideration host virus interactions throughout the course of an infection. QTiPs, in combination with phenotypic, functional, and metabolic analyses, elucidated a pivotal role for inflammatory CD11b(+), Ly6G(-), Ly6C(high-low) cells in antiviral immune response and viral clearance. Most importantly, the time-resolved QTiPs data set showed the transition of CD11b(+), Ly6G(-), Ly6C(high-low) cells into M2-like macrophages, which displayed increased antigen-presentation capacities and bioenergetic demands late in infection. We elucidated the pivotal role of myeloid cells in virus clearance and show how these cells phenotypically, functionally, and metabolically undergo a timely transition from inflammatory to M2-like macrophages in vivo. With respect to the growing appreciation for in vivo examination of viral host interactions and for the role of myeloid cells, this study elucidates the use of quantitative proteomics to reveal the role and response of distinct immune cell populations throughout the course of virus infection.

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