bioRxivSystems BiologyPreprint
Enhancer-priming in ageing human bone marrow mesenchymal stromal cells contributes to immune traits
Mang Ching LaiiD, Mariana Ruiz-VelascoiD, Christian ArnoldiD, Olga M. SigalovaiD, Daria BuninaiD, Ivan BerestiD, Ximing Ding, Marco L. HennrichiD, Laura Poisa-Beiro, Annique ClaringbouldiD, Anna MathioudakiiD, Caroline PabstiD, Anthony Dick HoiD, Anne‐Claude GaviniD, Judith B. ZauggiD
Abstract
Bone marrow mesenchymal stromal cells (BMSCs) can differentiate into adipocytes and osteoblasts, and are important regulators of the haematopoietic system. Ageing associates with an increased ratio of bone marrow adipocytes to osteoblasts and immune dysregulation. Here, we carried out an integrative multiomics analysis of ATAC-Seq, RNA-Seq and proteomics data from primary human BMSCs in a healthy cohort age between 20 - 60. We identified age-sensitive elements uniquely affecting each molecular level where transcription is mostly spared, and characterised the underlying biological pathways, revealing the interplay of age-related gene expression mechanism changes spanning multiple gene regulatory layers. Through data integration with enhancer-mediated gene regulatory network analysis, we discovered that enhancers and transcription factors influence cell differentiation potential in the ageing BMSCs. By combining our results with genome-wide association study data, we found that age-specific changes could contribute to common traits related to BMSC-derived tissues such as bone and adipose tissue, and to immune-related traits on a systemic level such as asthma. We demonstrate here that a multiomics approach is crucial for unravelling complex information, providing new insights on how ageing contributes to bone marrow- and immune-related disorders.
- organism: human
- assay: ATAC-seq
- assay: bulk RNA-seq
- assay: proteomics
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: GWAS / association mapping
- approach: statistical model
- approach: matrix factorization
- Citations
- 6
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