bioRxivCell BiologyPreprint
Differential sensitivity to LINE 1-induced damage contributes to the expansion of Tet2-deficient HSCs upon chronic inflammatory stress
Anne StolziD, Cheng Xuan, Christelle FreitasiD, Rabie ChelbiiD, Hassan Ait-Ougouram, David FandreiiD, Mengliang YeiD, Elisabeth NelsoniD, Claire MaillardiD, Mathieu BohmiD, Salomeh El-Choufani, Weiwei ZhangiD, Audrey Porquet, Kahina Issoulaiene, Christian MuchardtiD, Elina ZuevaiD, Michèle GoodhardtiD, David GarrickiD, Françoise PorteuiD, Emilie Elvira‐MatelotiD
Abstract
Chronic inflammation disrupts hematopoietic stem cell (HSC) function and drives the expansion of TET2-mutated clones, fostering clonal hematopoiesis of indeterminate potential (CHIP). However, the molecular mechanisms linking inflammation to these hematopoietic alterations remain poorly understood. Here, we uncover a pivotal role of transposable element (TE) derepression, specifically of the most recent LINE-1 (L1) elements, in mediating inflammation-induced HSC dysfunction. We show that chronic exposure to low-dose lipopolysaccharide (LPS) causes a loss of the heterochromatin mark H3K9me3 at L1s in wild-type (WT) HSCs, leading to L1 activation, DNA damage, and reduced clonogenic capacity. Remarkably, Tet2-/- HSCs are resistant to this LPS-induced L1 derepression and associated genomic instability. Furthermore, targeted degradation of L1 RNAs in WT HSCs diminishes the competitive advantage of Tet2-/- HSCs under chronic inflammatory conditions both in vitro and in vivo. These findings reveal epigenetic control of L1 elements as a previously unrecognized mechanism that links chronic inflammation to HSC impairment and clonal expansion of Tet2-mutant cells. This work highlights TE regulation as a critical determinant of hematopoietic fitness and clonal evolution under inflammatory stress.
- organism: mouse
- assay: DNA methylation
- assay: proteomics
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
- Citations
- 1
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