Maternal pancreatic beta-cells undergo functional and structural changes to adapt to increased metabolic demands during pregnancy. Lactogen signaling via the prolactin receptor (PRLR) contributes to these adaptations by increasing beta-cell mass, insulin transcription and glucose-stimulated insulin secretion[1-4]. In other lactogen-responsive tissues such as the mammary glands and specific hypothalamic nuclei, gestation induces epigenetic changes, some of which persist long after birth[5, 6]. We have previously found that prolactin treatment in islets regulates the expression of epigenetic modifiers[7, 8]. However, whether lactogen signaling in beta-cells mediates epigenetic changes to regulate chromatin accessibility has not been examined. Therefore, our objective was to determine whether PRLR signaling alters chromatin accessibility of beta-cells to facilitate transcriptional regulation. Using single-cell ATAC-sequencing, we identified differentially accessible regions (DARs) in beta-cells which had 718 overrepresented motifs following prolactin treatment of murine islets. Validating this approach, these included motifs bound by established PRLR signaling effectors such as the STAT family of transcription factors (TFs). Using RNA-sequencing we identified transcriptional changes in 41 TFs whose motifs were overrepresented in DARs, including several previously linked to PRLR signaling within beta-cells, including Myc, Mafb and Esr1. Importantly, we also identified TFs not previously associated with PRLR signaling, including OVOL2 an established regulator of epigenetic landscape within cells. OVOL2 is a transcription factor involved in EMT inhibition and energy homeostasis with unknown roles in pancreatic beta-cells. Here, we establish that OVOL2 acts as a negative regulator of lactogen-dependent effects on beta-cell proliferation, establishing a novel regulator of PRLR signaling.
Identifying needs in adult rehabilitation to support the clinical implementation of robotics and allied technologies: an Italian national survey
IntroductionRobotics and technological interventions are increasingly being explored as solutions to improve rehabilitation outcomes but their implementation in clinical practice remains very limited. Understanding patient

