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The molecular clock has been conserved from cyanobacteria to mammals and is believed to align behavioral and biochemical processes with the diurnal cycle. This cellular mechanism has been an advantage to increase the fitness of organisms through the ability to anticipate food availability or predator presence. Accumulating evidence has revealed that the circadian clock is intimately interconnected with the metabolic cycle. But, the nature of these interconnections is yet not clear at the transcriptional level, and the contribution of cis-regulatory modules has not been elucidated. Accessible chromatin regions of the genome are implicated in diverse processes, such as gene regulation through enhancers and promoters, insulation of genomic domains or alternative splicing. They allow cell-type specific programs that are controlled by tissue-specific transcription factors and chromatin modifiers, although tissue-specific regulation of the circadian clock remains unclear. Therefore, we compared genome-wide BMAL1 binding and chromatin accessibility in the liver and in NIH3T3 fibroblasts. Moreover, for the first time, our study explores the dynamics of accessible regions, histone 3 lysine 27 acetylation (H3K27ac) and RNA polymerase II (Pol II) every 4 hours over one day in mouse liver. In this study, we show that a substantial fraction of these accessible sites are oscillating during a diurnal cycle with a circadian period. We observed that these accessible regions are enriched in the proximity of actively transcribed genes, and that they are dynamically affected by the binding of transcription factors such as BMAL1. We investigated wild-type (WT) and Bmal1-/- genotypes, in night restricted feeding regimen and in Light-Dark (LD) cycle, to study the circadian clock regulatory network underlying diurnal transcription. Therefore, we applied a penalized generalized linear model to infer the activity of transcription factor binding motifs in oscillating accessible sites using Pol II loadings at the transcription start sites of nearby genes. We were able to recapitulate the known regulatory elements of the circadian clock, notably E-box, D-Box, and ROR-responsive elements (RRE) in the WT genotype. On the other hand, we found that Forkhead box (FOX), glucocorticoids responsive elements (GRE), and C-AMP Response Element (CRE) were the main contributors of the regulation of oscillating genes in Bmal1-/-. Finally, using a mixture model to detect footprints with a base pair resolution, we studied the dynamics of the accessibility overlapping E-box. Our last analysis suggested that BMAL1/CLOCK is binding on double E-boxes with a spacer of 6 or 7 bp in a hetero-tetramer configuration. A 3D structure model further supported this binding mode. In Summary, we used DNase I-seq and ChIP-seq of Pol II and H3K27ac to study the circadian chromatin landscape in a 4h time-resolved experimental design. We uncovered the underlying circadian transcriptional regulatory network and, we dissected the chromatin accessibility around BMAL1 binding sites at a base pair resolution, which led to an unappreciated mode of binding of BMAL1/CLOCK in a hetero-tetramer conformation on double E-boxes. Lastly, we found tissue-specific factors that might contribute to tissue-specific binding of BMAL1/CLOCK.

L’objectif de ce travail de diplôme est de générer les quatre vecteurs d’expression Bret 2 -Gateway puis de tester ces vecteurs avec NR2E3, une protéine impliquée dans la différenciation des photorécepteurs de la rétine dans l ’oeil .

A datathon is a time-constrained competition involving data science applied to a specific problem. In the past decade, datathons have been shown to be a valuable bridge between fields and expertise . Biomedical data analysis represents a challenging area requiring collaboration between engineers, biologists and physicians to gain a better understanding of patient physiology and of guide decision processes for diagnosis, prognosis and therapeutic interventions to improve care practice. Here, we reflect on the outcomes of an event that we organized in Israel at the end of March 2022 between the MIT Critical Data group, Rambam Health Care Campus (Rambam) and the Technion Israel Institute of Technology (Technion) in Haifa. Participants were asked to complete a survey about their skills and interests, which enabled us to identify current needs in machine learning training for medical problem applications. This work describes opportunities and limitations in medical data science in the Israeli context., Comment: 13 pages, 4 figures, 29 references

Endometriosis affects approximately 10% of women of reproductive age. This chronic, gynecological inflammatory disease results in a decreased quality of life for patients, with the main symptoms including chronic pelvic pain and infertility. The steroid hormone 17-beta Estradiol (E2) plays a key role in the pathology. Our previous studies showed that the anti-inflammatory lipid Lipoxin A(4) (LXA(4)) acts as an estrogen receptor-alpha agonist in endometrial epithelial cells, inhibiting certain E2-mediated effects. LXA(4) also prevents the progression of endometriosis in a mouse model via anti-proliferative mechanisms and by impacting mediators downstream of ER signaling. The aim of the present study was therefore to examine global proteomic changes evoked by E2 and LXA(4) in endometriotic epithelial cells. E2 impacted a greater number of proteins in endometriotic epithelial cells than LXA(4). Interestingly, the combination of E2 and LXA(4) resulted in a reduced number of regulated proteins, with LXA(4) mediating a suppressive effect on E2-mediated signaling. These proteins are involved in diverse pathways of relevance to endometriosis pathology and metabolism, including mRNA translation, growth, proliferation, proteolysis, and immune responses. In summary, this study sheds light on novel pathways involved in endometriosis pathology and further understanding of signaling pathways activated by estrogenic molecules in endometriotic epithelial cells.

Mouse liver regeneration after partial hepatectomy involves cells in the remaining tissue synchronously entering the cell division cycle. We have used this system and H3K4me3, Pol II and Pol III profiling to characterize adaptations in Pol III transcription. Our results broadly define a class of genes close to H3K4me3 and Pol II peaks, whose Pol III occupancy is high and stable, and another class, distant from Pol II peaks, whose Pol III occupancy strongly increases after partial hepatectomy. Pol III regulation in the liver thus entails both highly expressed housekeeping genes and genes whose expression can adapt to increased demand.