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A growth factor-expressing macrophage subpopulation orchestrates regenerative inflammation via GDF-15.

TLDR
In this article, the TGF-β superfamily member GDF-15 was identified as a component of the regeneration-promoting program (RPP), which is essential for proper repair.
Abstract
Muscle regeneration is the result of the concerted action of multiple cell types driven by the temporarily controlled phenotype switches of infiltrating monocyte-derived macrophages. Pro-inflammatory macrophages transition into a phenotype that drives tissue repair through the production of effectors such as growth factors. This orchestrated sequence of regenerative inflammatory events, which we termed regeneration-promoting program (RPP), is essential for proper repair. However, it is not well understood how specialized repair-macrophage identity develops in the RPP at the transcriptional level and how induced macrophage-derived factors coordinate tissue repair. Gene expression kinetics-based clustering of blood circulating Ly6Chigh, infiltrating inflammatory Ly6Chigh, and reparative Ly6Clow macrophages, isolated from injured muscle, identified the TGF-β superfamily member, GDF-15, as a component of the RPP. Myeloid GDF-15 is required for proper muscle regeneration following acute sterile injury, as revealed by gain- and loss-of-function studies. Mechanistically, GDF-15 acts both on proliferating myoblasts and on muscle-infiltrating myeloid cells. Epigenomic analyses of upstream regulators of Gdf15 expression identified that it is under the control of nuclear receptors RXR/PPARγ. Finally, immune single-cell RNA-seq profiling revealed that Gdf15 is coexpressed with other known muscle regeneration-associated growth factors, and their expression is limited to a unique subpopulation of repair-type macrophages (growth factor-expressing macrophages [GFEMs]).

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CD36, a signaling receptor and fatty acid transporter that regulates immune cell metabolism and fate

TL;DR: This review summarizes how CD36 dual functions determine immune cell functions and fates, which contribute to common diseases including atherosclerosis and tumor progression.
Journal ArticleDOI

Targeting SLC7A11 improves efferocytosis by dendritic cells and wound healing in diabetes

TL;DR: In this paper , the membrane transporter SLC7a11 acts as a molecular brake on efferocytosis, the process by which dying cells are removed, and that inhibiting SLC 7a11 function can accelerate wound healing.
Journal ArticleDOI

Targeting SLC7A11 improves efferocytosis by dendritic cells and wound healing in diabetes

TL;DR: In this article , the membrane transporter SLC7a11 acts as a molecular brake on efferocytosis, the process by which dying cells are removed, and that inhibiting SLC 7a11 function can accelerate wound healing.
Journal ArticleDOI

Coping With Stress: The Mitokine GDF-15 as a Biomarker of COVID-19 Severity

TL;DR: The role of GDF-15 as an inflammation-induced mediator of disease tolerance, through metabolic and immune reprogramming, is critically reviewed and seems to be involved in disease tolerance to viral infections including SARS-CoV-2, paving the way for novel therapeutic interventions.
Journal ArticleDOI

Differences in muscle satellite cell dynamics during muscle hypertrophy and regeneration

TL;DR: In this paper , six specific examples of such differences in MuSC dynamics between regeneration and hypertrophy processes are discussed, including the nuclei of MuSCs becoming directly incorporated into the mature myonuclei.
References
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Journal ArticleDOI

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TL;DR: SAMtools as discussed by the authors implements various utilities for post-processing alignments in the SAM format, such as indexing, variant caller and alignment viewer, and thus provides universal tools for processing read alignments.
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TL;DR: Burrows-Wheeler Alignment tool (BWA) is implemented, a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps.
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TL;DR: The Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure outperforms other aligners by a factor of >50 in mapping speed.