Literature DB >> 29642017

Deciphering the Dynamic Transcriptional and Post-transcriptional Networks of Macrophages in the Healthy Heart and after Myocardial Injury.

Wencke Walter1, Laura Alonso-Herranz1, Verdiana Trappetti1, Isaac Crespo2, Mark Ibberson2, Marta Cedenilla1, Anna Karaszewska1, Vanessa Núñez1, Ioannis Xenarios2, Alicia G Arroyo3, Fátima Sánchez-Cabo4, Mercedes Ricote5.   

Abstract

Macrophage plasticity has been studied in vitro, but transcriptional regulation upon injury is poorly understood. We generated a valuable dataset that captures transcriptional changes in the healthy heart and after myocardial injury, revealing a dynamic transcriptional landscape of macrophage activation. Partial deconvolution suggested that post-injury macrophages exhibit overlapping activation of pro-inflammatory and anti-inflammatory programs rather than aligning to canonical M1/M2 programs. Furthermore, simulated dynamics and experimental validation of a regulatory core of the underlying gene-regulatory network revealed a negative-feedback loop that limits initial inflammation via hypoxia-mediated upregulation of Il10. Our results also highlight the prominence of post-transcriptional regulation (miRNAs, mRNA decay, and lincRNAs) in attenuating the myocardial injury-induced inflammatory response. We also identified a cardiac-macrophage-specific gene signature (e.g., Egfr and Lifr) and time-specific markers for macrophage populations (e.g., Lyve1, Cd40, and Mrc1). Altogether, these data provide a core resource for deciphering the transcriptional network in cardiac macrophages in vivo.
Copyright © 2018 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Boolean dynamical model; IL-10; heart; lincRNAs; miRnome; myocardial injury; partial deconvolution; transcriptome analysis

Mesh:

Substances:

Year:  2018        PMID: 29642017     DOI: 10.1016/j.celrep.2018.03.029

Source DB:  PubMed          Journal:  Cell Rep            Impact factor:   9.423


  22 in total

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