Fault localization in DSLTrans model transformations by combining symbolic execution and spectrum-based analysis.

The verification of model transformations is important for realizing robust model-driven engineering technologies and quality-assured automation. Many approaches for checking properties of model transformations have been proposed. Most of them have focused on the effective and efficient detection of property violations by contract checking.

Spatial analysis of recurrent glioblastoma reveals perivascular niche organization.

Tumor evolution is driven by genetic variation; however, it is the tumor microenvironment (TME) that provides the selective pressure contributing to evolution in cancer. Despite high histopathological heterogeneity within glioblastoma (GBM), the most aggressive brain tumor, the interactions between the genetically distinct GBM cells and the surrounding TME are not fully understood. To address this, we analyzed matched primary and recurrent GBM archival tumor tissues with imaging-based techniques aimed to simultaneously evaluate tumor tissues for the presence of hypoxic, angiogenic, and inflammatory niches, extracellular matrix (ECM) organization, TERT promoter mutational status, and several oncogenic amplifications on the same slide and location.

New Approaches for Targeting PCSK9: Small-Interfering Ribonucleic Acid and Genome Editing.

There is overwhelming clinical and genetic evidence supporting the concept that low-density-lipoprotein cholesterol should be as low as possible for as long as possible in patients at very high cardiovascular risk. Despite the wide availability of effective lipid-lowering therapies, the majority of patients still fail to reach guideline-based lipid goals. Advances in novel approaches targeting PCSK9 (proprotein convertase subtilisin/kexin type 9) through small-interfering RNA and genome editing hold the potential to bridge this gap, by offering long-acting alternatives, which may overcome adherence and other challenges in the current chronic care model.

Comprehensive deletion landscape of CRISPR-Cas9 identifies minimal RNA-guided DNA-binding modules.

Proteins evolve through the modular rearrangement of elements known as domains. Extant, multidomain proteins are hypothesized to be the result of domain accretion, but there has been limited experimental validation of this idea. Here, we introduce a technique for genetic minimization by iterative size-exclusion and recombination (MISER) for comprehensively making all possible deletions of a protein.