Advanced ScienceBioengineeringPeer-reviewed journal article
Matrix-rigidity cooperates with biochemical cues in M2 macrophage activation through increased nuclear deformation and chromatin accessibility
Seung Jae Shin, Buuvee BayarkhangaiiD, Khaliunsarnai TsogtbaatariD, Meng Yuxuan, Sang‐Hyun KimiD, Yong‐Jae KimiD, Ali Taghizadeh, Daesan KimiD, Dong‐Hwee KimiD, Jung‐Hwan Lee, Jeongeun Hyun, Hae‐Won KimiD
Abstract
Macrophages encounter a myriad of biochemical and mechanical stimuli across various tissues and pathological contexts. Notably, matrix rigidity has emerged as a pivotal regulator of macrophage activation through mechanotransduction. However, the precise mechanisms underlying the interplay between mechanical and biochemical cues within the nuclear milieu remain elusive. Here we elucidate how the increased matrix rigidity drives macrophages to amplify alternatively-activated (M2 phenotype) signalings cooperatively with biochemical cues (e.g., IL4/13) through altered nuclear mechanics. Notably, we found that reconstructed podosome-like F-actins and contractility induced nucleus deformation, opening nuclear pores, which facilitates nuclear translocation of the key transcription factor STAT6. Furthermore, the altered nuclear mechanics increased chromatin accessibility induced by H3K9 methylation, particularly of M2-associated gene promoters. These cooperative events of the mechano-chemical signaling at the cytoskeletal-to-nuclear domains facilitated M2 transcriptional activation and cellular functions. We further evidenced the rigidity-primed M2 macrophages were immunosuppressive and accumulated in stiffened tumor tissues. This study proposes a mechanism by which matrix mechanics crosstalks with biochemical signals to potentiate macrophage activation through nuclear mechanosensing and chromatin modifications, offering insights into macrophage mechanobiology and its therapeutic modulations.
- organism: mouse
- assay: ATAC-seq
- assay: flow cytometry
- assay: imaging
- research focus: chromatin & epigenetic regulation
- research focus: cell type annotation
- research focus: cell signaling & trafficking
- approach: experimental assay
- approach: statistical model
- Citations
- 17
- FWCI
- 5.06
- Field percentile
- top 3%
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