Dataset Information

Quantitative Temporal in vivo Proteomics (QTiPs) deciphers the transition of inflammatory CD11b+,Ly6G-,Ly6Chigh myeloid cells into M2-like macrophages

ABSTRACT: Phenotypic transition of myeloid cells into distinct lineages in vivo is important in pathogen response. To monitor immune cell phenotype transitions in vivo, we developed a quantitative temporal in vivo proteomics (QTiPs) platform, performing multiplexed (10-plex) tandem-mass-tag (TMT)-based mass spectrometry on sorted cells collected from their in situ microenvironment during infection. We temporally characterized a poorly understood, virus-driven CD11b+,Ly6G-,Ly6Chigh-low myeloid cell population throughout an acute phase of infection in both the site of infection and bone marrow. QTiPs, in combination with phenotypic, functional and metabolic analyses, elucidated a pivotal role for inflammatory CD11b+,Ly6G-,Ly6Chigh-low cells in anti-viral immune response and viral clearance. Most importantly, the highly time-resolved QTiPs dataset showed the transition of CD11b+,Ly6G-,Ly6Chigh-low cells into M2-like macrophages which displayed increased antigen presentation capacities and bioenergetic demands late in infection. Our QTiPs approach precisely captures myeloid cell-macrophage transition in this population, and it is a novel platform for measuring temporospatial proteome transitions in vivo.

INSTRUMENT(S): Orbitrap Fusion

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Monocyte

DISEASE(S): Wounds And Injuries

SUBMITTER: Patrick Murphy

LAB HEAD: Shashi Gujar

PROVIDER: PXD005064 | Pride | 2017-08-09

REPOSITORIES: Pride

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

Clements Derek R DR Murphy John Patrick JP Sterea Andra A Kennedy Barry E BE Kim Youra Y Helson Erin E Almasi Shekoufeh S Holay Namit N Konda Prathyusha P Paulo Joao A JA Sharif Tanveer T Lee Patrick W PW Weekes Michael P MP Gygi Steven P SP Gujar Shashi S

Journal of proteome research 20170823 9

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 w ...[more]

PMID: 28768414

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