bioRxivImmunology
CD163 and Tim-4 identify resident intestinal macrophages across sub-tissular regions that are spatially regulated by TGF-β
I. E. Prise, V. Jayaraman, V. Kästele, R. H. Daw, K. Wemyss, H. Bridgeman, S. Tamburrano, P. Strangward, C. Chew, L. Martens, C. L. Scott, M. Guilliams, A. D. Adamson, J. E. Konkel, T. N. Shaw, J. R. Grainger
Abstract
In bodily organs, macrophages are localised in poorly understood tissular and sub-tissular niches associated with defined macrophage ontogeny and activity. In the intestine, a paradigm is emerging that long-lived macrophages are dominantly present in the muscular layer, while highly monocyte-replenished populations are found in the lamina propria beneath the epithelial barrier. Whether longevity is restricted in such a simplified manner has not been well explored. Moreover, the impact of specific gut-associated factors on long-lived macrophage functionality and niche occupancy is unknown. We generated sc-RNA-Seq data from wild-type and Ccr2-/- mice to identify phenotypic features of long-lived macrophage populations in distinct intestinal niches and identified CD163 as a useful marker to distinguish submucosal/muscularis (S/M) from lamina propria (LP) macrophages. Challenging the emerging paradigm, long-lived macrophages, identified by Tim-4 expression, were found in the LP and S/M. Long-lived LP macrophages are restrained in their response to proinflammatory stimulation compared to short-lived populations in the same location, and to the long-lived population within the S/M. Employing a novel Timd4creTgfbr2fl/fl mouse line we demonstrate distinct functions of TGF-{beta} on long-lived macrophages in these two compartments. Importantly, in Timd4creTgfbr2fl/fl mice, zonation of CD163+ macrophages in the S/M was lost, suggesting TGF-{beta} plays an unappreciated role in positioning of macrophages in the tissue. These data highlight the importance of considering ontogeny and niche when assessing the action of key intestinal regulatory signals.
- organism: mouse
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: spatial domain detection
- research focus: gene regulatory network inference
- approach: experimental assay
- approach: statistical model
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