Cerebral cavernous malformations (CCMs) are common inherited and sporadic vascular malformations that cause stroke and seizures in younger individuals1. CCMs arise from endothelial cell loss of KRIT1, CCM2, or PDCD10, non-homologous proteins that form an adaptor complex2. How disruption of the CCM complex results in disease remains controversial, with numerous signaling pathways (including Rho3,4, SMAD5 and Wnt/β-catenin6) and processes such as endothelial-mesenchymal transition (EndMT)5 proposed to play causal roles. CCM2 binds MEKK37–11, and we have recently demonstrated that CCM complex regulation of MEKK3 is essential during vertebrate heart development12. Here, we investigate this mechanism in CCM disease pathogenesis. Using a neonatal mouse model of CCM disease, we find that expression of the MEKK3 target genes KLF2 and KLF4, as well as Rho and ADAMTS protease activity, are increased in the endothelial cells of early CCM lesions. In contrast, we find no evidence of EndMT or increased SMAD or Wnt signaling during early CCM formation. Endothelial-specific loss of Mekk3, Klf2, or Klf4 dramatically prevents lesion formation, reverses the increase in Rho activity, and rescues lethality. Consistent with these findings in mice, we demonstrate that endothelial expression of KLF2 and KLF4 is elevated in human familial and sporadic CCM lesions, and that a disease-causing human CCM2 mutation abrogates MEKK3 interaction without affecting CCM complex formation. These studies identify gain of MEKK3 signaling and KLF2/4 function as causal mechanisms for CCM pathogenesis that may be targeted to develop new CCM therapeutics.

SUMMARY The cerebral cavernous malformation (CCM) pathway is required in endothelial cells for normal cardiovascular development and to prevent postnatal vascular malformations, but its molecular effectors are not well defined. Here we show that loss of CCM signaling in endocardial cells results in mid-gestation heart failure associated with premature degradation of cardiac jelly. CCM deficiency dramatically alters endocardial and endothelial gene expression, including increased expression of the Klf2 and Klf4 transcription factors and the Adamts4 and Adamts5 proteases that degrade cardiac jelly. These changes in gene expression result from increased activity of MEKK3, a mitogen-activated protein kinase that binds CCM2 in endothelial cells. MEKK3 is both necessary and sufficient for expression of these genes, and partial loss of MEKK3 rescues cardiac defects in CCM-deficient embryos. These findings reveal a molecular mechanism by which CCM signaling controls endothelial gene expression during cardiovascular development that may also underlie CCM formation.

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Polo-like kinase 1 (Plk1) overexpression is associated with tumorigenesis by an unknown mechanism. Likewise, Plk1 was suggested to act as a negative regulator of tumor suppressor p53, but the mechanism remains to be determined. Herein, we have identified topoisomerase I-binding protein (Topors), a p53-binding protein, as a Plk1 target. We show that Plk1 phosphorylates Topors on Ser 718 in vivo. Significantly, expression of a Plk1-unphosphorylatable Topors mutant (S718A) leads to a dramatic accumulation of p53 through inhibition of p53 degradation. Topors is an ubiquitin and small ubiquitin-like modifier ubiquitin-protein isopeptide ligase (SUMO E3) ligase. Plk1-mediated phosphorylation of Topors inhibits Topors-mediated sumoylation of p53, whereas p53 ubiquitination is enhanced, leading to p53 degradation. These results demonstrate that Plk1 modulates Topors activity in suppressing p53 function and identify a likely mechanism for the tumorigenic potential of Plk1.Polo-like kinase-1 (Plk1) 3 has multiple functions required for cell cycle progression, and overexpression of Plk1 is observed in various types of human tumors (1, 2). Thus, Plk1 has been proposed as a novel diagnostic marker for cancers. Accumulating evidence suggests that Plk1 negatively regulates the function of the tumor suppressor p53, whose loss-of-function mutations have been observed in nearly 50% of human tumors (1). In our earlier studies, we were the first to demonstrate that Plk1 depletion results in increased p53 level in HeLa cells (3) and that human cells with different levels of p53 respond to Plk1 depletion differently (4). Subsequently, it was shown that Plk1 directly binds to the DNA-binding domain of p53 through its N-terminal kinase domain and inhibits the transactivation as well as the proapoptotic function of p53 (5). Although it has been suggested that Plk1 might regulate p53 through direct phosphorylation (5), our repeated efforts to prove p53 as a direct target of Plk1 have been unsuccessful.Topors was discovered in a screen searching for proteins that bind to DNA topoisomerase I (6) and was also identified as a p53-binding protein (7). Although Topors is widely expressed in normal human tissues, its expression is decreased or undetectable in colon, lung, and brain adenocarcinomas, indicating that it might function as a tumor suppressor (8). Topors contains an N-terminal C3HC4-type RING domain that is closely related in sequence to the RING domains of known E3 ligases (see Fig. 1A) and is the first example of a protein that has both ubiquitin and SUMO-1 E3 ligase activity. Topors functions as an E3 ubiquitin ligase for p53 and NKX3.1, and Topors-mediated ubiquitination leads to the degradation of these proteins (9, 10). Substrates of the SUMO-1 E3 ligase activity of Topors include DNA topoisomerase I and p53 (11,12). In contrast to ubiquitination-induced protein degradation, Topors-induced p53 sumoylation is accompanied by an increase in the level of p53 protein (11). Taken together, these studies indicate that Topors functions...

Accurate somatic mutation detection from single-cell DNA sequencing (scDNA-seq) is challenging due to amplification-related artifacts. To reduce this artifact burden, an improved amplification technique, primary template-directed amplification (PTA), was recently introduced. We analyzed whole-genome sequencing data from 52 PTA-amplified single neurons using SCAN2, a new genotyper we developed to leverage mutation signatures and allele balance in identifying somatic single-nucleotide variants (SNVs) and small insertions and deletions (indels) in PTA data. Our analysis confirms an increase in non-clonal somatic mutation in single neurons with age, but revises the estimated rate of this accumulation to be 16 SNVs per year. We also identify artifacts in other amplification methods. Most importantly, we show

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Controlling and programming quantum devices to process quantum information by the unit of quantum dit, i.e., qudit, provides the possibilities for noise-resilient quantum communications, delicate quantum molecular simulations, and efficient quantum computations, showing great potential to enhance the capabilities of qubit-based quantum technologies. Here, we report a programmable qudit-based quantum processor in silicon-photonic integrated circuits and demonstrate its enhancement of quantum computational parallelism. The processor monolithically integrates all the key functionalities and capabilities of initialisation, manipulation, and measurement of the two quantum quart (ququart) states and multi-value quantum-controlled logic gates with high-level fidelities. By reprogramming the configuration of the processor, we implemented the most basic quantum Fourier transform algorithms, all in quaternary, to benchmark the enhancement of quantum parallelism using qudits, which include generalised Deutsch-Jozsa and Bernstein-Vazirani algorithms, quaternary phase estimation and fast factorization algorithms. The monolithic integration and high programmability have allowed the implementations of more than one million high-fidelity preparations, operations and projections of qudit states in the processor. Our work shows an integrated photonic quantum technology for qudit-based quantum computing with enhanced capacity, accuracy, and efficiency, which could lead to the acceleration of building a large-scale quantum computer.

We characterize the landscape of somatic mutations—mutations occurring after fertilization—in the human brain using ultra-deep (~250X) whole-genome sequencing of prefrontal cortex from 59 autism spectrum disorder (ASD) cases and 15 controls. We observe a mean of 26 somatic single nucleotide variants (sSNVs) per brain present in ≥4% of cells, with enrichment of mutations in coding and putative regulatory regions. Our analysis reveals that the first cell division after fertilization produces ~3.4 mutations, followed by 2–3 mutations in subsequent generations. This suggests that a typical individual possesses ~80 sSNVs present in ≥2% of cells—comparable to the number of de novo germline mutations per generation—with about half of individuals having at least one potentially function-altering somatic mutation somewhere in the cortex. ASD brains show an excess of somatic mutations in neural enhancer sequences compared to controls, suggesting that mosaic enhancer mutations may contribute to ASD risk.