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Venous endothelial cells are molecularly and functionally distinct from their arterial counterparts. Although veins are often considered the default endothelial state, genetic manipulations can modulate both acquisition and loss of venous fate, suggesting that venous identity is the result of active transcriptional regulation. However, little is known about this process. Here we show that BMP signalling controls venous identity via the ALK3/BMPR1A receptor and SMAD1/SMAD5. Perturbations to TGF-β and BMP signalling in mice and zebrafish result in aberrant vein formation and loss of expression of the venous-specific gene Ephb4, with no effect on arterial identity. Analysis of a venous endothelium-specific enhancer for Ephb4 shows enriched binding of SMAD1/5 and a requirement for SMAD binding motifs. Further, our results demonstrate that BMP/SMAD-mediated Ephb4 expression requires the venous-enriched BMP type I receptor ALK3/BMPR1A. Together, our analysis demonstrates a requirement for BMP signalling in the establishment of Ephb4 expression and the venous vasculature., The establishment of functional vasculatures requires the specification of newly formed vessels into veins and arteries. Here, Neal et al. use a combination of genetic approaches in mice and zebrafish to show that BMP signalling, via ALK3 and SMAD1/5, is required for venous specification during blood vessel development.

Angiogenesis, the fundamental process by which new blood vessels form from existing ones, depends on precise spatial and temporal gene expression within specific compartments of the endothelium. However, the molecular links between proangiogenic signals and downstream gene expression remain unclear. During sprouting angiogenesis, the specification of endothelial cells into the tip cells that lead new blood vessel sprouts is coordinated by vascular endothelial growth factor A (VEGFA) and Delta-like ligand 4 (Dll4)/Notch signaling and requires high levels of Notch ligand DLL4. Here, we identify MEF2 transcription factors as crucial regulators of sprouting angiogenesis directly downstream from VEGFA. Through the characterization of a Dll4 enhancer directing expression to endothelial cells at the angiogenic front, we found that MEF2 factors directly transcriptionally activate the expression of Dll4 and many other key genes up-regulated during sprouting angiogenesis in both physiological and tumor vascularization. Unlike ETS-mediated regulation, MEF2-binding motifs are not ubiquitous to all endothelial gene enhancers and promoters but are instead overrepresented around genes associated with sprouting angiogenesis. MEF2 target gene activation is directly linked to VEGFA-induced release of repressive histone deacetylases and concurrent recruitment of the histone acetyltransferase EP300 to MEF2 target gene regulatory elements, thus establishing MEF2 factors as the transcriptional effectors of VEGFA signaling during angiogenesis.

Angiogenesis, the fundamental process by which new blood vessels form from existing ones, depends on precise spatial and temporal gene expression within specific compartments of the endothelium. However, the molecular links between pro-angiogenic signals and downstream gene expression remain unclear. During sprouting angiogenesis, the specification of endothelial cells into the tip cells that lead new blood vessel sprouts is coordinated by VEGFA and Dll4/Notch signaling, and requires high levels of Notch ligand Delta-like ligand 4 (DLL4). Here, we identify MEF2 transcription factors as crucial regulators of sprouting angiogenesis directly downstream of VEGFA. Through the characterization of a Dll4 enhancer directing expression to endothelial cells at the angiogenic front, we find that MEF2 factors directly transcriptionally activate the expression of Dll4 and many other key genes upregulated during sprouting angiogenesis in both physiological and tumour vascularization. Unlike ETS-mediated regulation, MEF2 binding motifs are not ubiquitous to all endothelial gene enhancers and promoters, but are instead over-represented around genes associated with sprouting angiogenesis. MEF2-target gene activation is directly linked to VEGFA-induced release of repressive histone deacetylases and concurrent recruitment of the histone acetyl-transferase EP300 to MEF2-target gene regulatory elements, thus establishing MEF2 factors as the transcriptional effectors of VEGFA signaling during angiogenesis.

Objective—The vascular endothelial growth factor (VEGF) receptor Flk1 is essential for vascular development, but the signaling and transcriptional pathways by which its expression is regulated in endothelial cells remain unclear. Although previous studies have identified 2 Flk1 regulatory enhancers, these are dispensable for Flk1 expression, indicating that additional enhancers contribute to Flk1 regulation in endothelial cells. In the present study, we sought to identify Flk1 enhancers contributing to expression in endothelial cells. Approach and Results—A region of the 10th intron of the Flk1 gene (Flk1in10) was identified as a putative enhancer and tested in mouse and zebrafish transgenic models. This region robustly directed reporter gene expression in arterial endothelial cells. Using a combination of targeted mutagenesis of transcription factor–binding sites and gene silencing of transcription factors, we found that Gata and Ets factors are required for Flk1in10 enhancer activity in all endothelial cells. Furthermore, we showed that activity of the Flk1in10 enhancer is restricted to arteries through repression of gene expression in venous endothelial cells by the Notch pathway transcriptional regulator Rbpj.Conclusions—This study demonstrates a novel mechanism of arterial–venous identity acquisition, indicates a direct link between the Notch and VEGF signaling pathways, and illustrates how cis-regulatory diversity permits differential expression outcomes from a limited repertoire of transcriptional regulators.

OBJECTIVE: To develop enzyme-activatable Förster resonance energy transfer (FRET) substrate probes to detect matrix metalloproteinase 12 (MMP-12) and MMP-13 activities in vivo in mouse models of inflammatory arthritis. METHODS: Peptidic FRET probes activated by MMP-12 and MMP-13 were reverse designed from inhibitors selected from a phosphinic peptide inhibitor library. Selectivity of the probes was demonstrated in vitro using MMP-1, MMP-2, MMP-3, MMP-12, and MMP-13. In vivo activation of the probes was tested in the zymosan-induced mouse model of inflammation, and probe specificity was evaluated by the MMP inhibitor GM6001 and specific synthetic inhibitors of MMP-12 and MMP-13. The probes were used to monitor these enzyme activities in the collagen-induced arthritis (CIA) model in vivo. RESULTS: The MMP-12 and MMP-13 activity probes (MMP12ap and MMP13ap, respectively) discriminated between the activities of the 2 enzymes. The in vivo activation of these probes was inhibited by GM6001 and by their respective specific inhibitors. In the CIA model, MMP12ap activation peaked 5 days after disease onset and showed strong correlation with disease severity during this time (r = 0.85, P < 0.0001). MMP13ap activation increased gradually after disease onset and correlated with disease severity over a longer period of 15 days (r = 0.58, P < 0.0001). CONCLUSION: We generated two selective FRET probes that can be used to monitor MMP-12 and MMP-13 activities in live animals. MMP12ap follows the initial stage of inflammation in CIA, while MMP13ap follows the progression of the disease. The specificity of these probes is useful in monitoring the efficacy of MMP inhibitors.

We have used an aggrecan gene enhancer to generate a transgenic murine line (Acan-CreER-Ires-Luc) expressing firefly luciferase and tamoxifen activatable Cre recombinase (Cre-ER(T2) ). The expression and efficiency of the inducible Cre recombinase activity were tested in double transgenic mice created by crossing the Acan-CreER-Ires-Luc line with a Rosa26-lacZ reporter mouse. The expression pattern of the transgene of our line was restricted to cartilage from embryonic to adult stages. β-galactosidase staining was observed in growth plate, articular cartilage, as well as fibrocartilage of meniscus, trachea, and intervertebral discs. Similar staining was observed in a previously described Agc1 (tm(IRES-creERT2)) murine line. The presence of luciferase in our transgene allows the visualization of the transgene expression in live animals. Weekly measurements from 2 to 8 weeks of age showed a reduction in luminescence in knee joints between 2 and 4 weeks of age, but stabilization thereafter. Following the surgical induction of osteoarthritis at 12 weeks of age, the level of luminescence remained the same in the knee joints for 8 weeks. This Acan-CreER-Ires-Luc murine line allows indirect monitoring of the transcriptional activity of the Acan gene via expression of luciferase, while the inducible Cre recombinase activity facilitates studies involving gain or loss of gene expression in cartilage.

Objective. To develop enzyme activatable Förster resonance energy transfer (FRET) substrate probes to detect MMP-12 and MMP-13 activities in vivo in mouse models of inflammatory arthritis Methods. Peptidic FRET probes activated by MMP-12 and MMP-13 were reverse designed from inhibitors selected from a peptide phosphinic inhibitor library. Selectivity of the probes was demonstrated in vitro using MMP-1, MMP-2, MMP-3, MMP-12, and MMP-13. In vivo activation of the probe was tested in the zymosan-induced mouse model of inflammation and probe specificity was evaluated by the metalloprotease inhibitor GM6001 and specific synthetic inhibitors of MMP-12 and MMP-13. The probes were used to follow these enzyme activities in the collagen-induced arthritis (CIA) model in vivo. Results. The MMP-12- and MMP-13-activity probes (MMP12ap and MMP13ap, respectively) discriminated between the two enzymatic activities. The in vivo activation of these probes was inhibited by GM6001 and by their respective specific inhibitors. In the CIA model, MMP12ap activation peaked 5 days after disease onset and showed strong correlation with disease severity during this time (r = 0.85; p