Work

Stimulus-response signaling dynamics characterize macrophage polarization states

Year: 2024

Type: article

Abstract: Macrophages show remarkable functional pleiotropy that is dependent on microenvironmental context. Prior studies have characterized how polarizing cytokines alter the transcriptomic and epigenetic landscape. Here we characterized the immune-threat appropriate responses of polarized macrophages by measuring the single-cell signaling dynamics of transcription factor NFκB. Leveraging a fluorescent protein reporter mouse, primary macrophages were polarized into 6 states and stimulated with 8 different stimuli resulting in a vast dataset. Linear Discriminant Analysis revealed how NFκB signaling codons compose the immune threat level of stimuli, placing polarization states along a linear continuum between the M1/M2 dichotomy. Machine learning classification revealed losses of stimulus distinguishability with polarization, which reflect a switch from sentinel to more canalized effector functions. However, the stimulus-response dynamics and discrimination patterns did not fit the M1/M2 continuum. Instead, our analysis suggests macrophage functional niches within a multi-dimensional polarization landscape. Highlights Polarization of macrophages affects stimulus-response NFκB dynamics For each condition, NFκB signaling codons quantify the “immune threat” level Machine Learning reveals polarization-induced canalization of stimulus-responses NFκB stimulus-responses may define a landscape of macrophage states eTOC blurb Macrophages are profoundly responsive to their tissue microenvironment, but how that affects their pathogen response functions has not been investigated systematically. Here we studied how their signaling response is affected by six polarizing cytokines. We found each modulates their stimulus-responses highly specifically, producing distinct patterns of stimulus-discrimination. Thereby, these stimulus-response specificities may be used to describe a landscape of functional macrophage states. Graphical Abstract

Source: Cell Systems

DOI: 10.1016/j.cels.2024.05.002