Expansion and further delineation of the SETD5 phenotype leading to global developmental delay, variable dysmorphic features, and reduced penetrance

Diagnostic exome sequencing (DES) has aided delineation of the phenotypic spectrum of rare genetic etiologies of intellectual disability (ID). A SET domain containing 5 gene (SETD5) phenotype of ID and dysmorphic features has been previously described in relation to patients with 3p25.3 deletions and in a few individuals with de novo sequence alterations. Herein, we present additional patients with pathogenic SETD5 sequence alterations. The majority of patients in this cohort and previously reported have developmental delay, behavioral/psychiatric issues, and variable hand and skeletal abnormalities. We also present an apparently unaffected carrier mother of an affected individual and a carrier mother with normal intelligence and affected twin sons. We suggest that the phenotype of SETD5 is more complex and variable than previously presented. Therefore, many features and presentations need to be considered when evaluating a patient for SETD5 alterations through DES

A fluorescence microscopy method for quantifying levels of prostaglandin endoperoxide H synthase-1 and CD-41 in MEG-01 cells

<p>In platelets, PGHS-1-dependant formation of thromboxane A₂ is an important modulator of platelet function and a target for pharmacological inhibition of platelet function by aspirin. Since platelets are a-nucleated cells, we have used the immortalized human megakaryoblastic cell line MEG-01 which can be induced to differentiate into platelet-like structures upon addition of TPA as a model system to study PGHS-1 gene expression. Using a specific antibody to PGHS-1 we have developed a technique utilizing immunofluorescence microscopy and analysis of multiple digital images to monitor PGHS-1 protein levels as MEG-01 cells were induced to differentiate by a single addition of TPA (1.6 x 10^-8 M) over a period of 8 days. The method represents a rapid and economical alternative to flow cytometry. Using this technique we observed that TPA induced adherence of MEG-01 cells, and only the non-adherent TPA-stimulated cells demonstrated compromised viability. The differentiation of MEG-01 cells was evaluated by the expression of the platelet-specific cell surface antigen, CD-41. The latter was expressed in MEG-01 cells at the later stages of differentiation. We demonstrated a good correlation between PGHS-1 levels and the overall level of cellular differentiation of MEG-01 cells. Furthermore, PGHS-1 protein level, which shows a consistent increase over the entire course of differentiation, can be used as an additional and better index by which to monitor megakaryocyte differentiation

Functional Dysregulation of CDC42 Causes Diverse Developmental Phenotypes

Exome sequencing has markedly enhanced the discovery of genes implicated in Mendelian disorders, particularly for individuals in whom a known clinical entity could not be assigned. This has led to the recognition that phenotypic heterogeneity resulting from allelic mutations occurs more commonly than previously appreciated. Here, we report that missense variants in CDC42, a gene encoding a small GTPase functioning as an intracellular signaling node, underlie a clinically heterogeneous group of phenotypes characterized by variable growth dysregulation, facial dysmorphism, and neurodevelopmental, immunological, and hematological anomalies, including a phenotype resembling Noonan syndrome, a developmental disorder caused by dysregulated RAS signaling. In silico, in vitro, and in vivo analyses demonstrate that mutations variably perturb CDC42 function by altering the switch between the active and inactive states of the GTPase and/or affecting CDC42 interaction with effectors, and differentially disturb cellular and developmental processes. These findings reveal the remarkably variable impact that dominantly acting CDC42 mutations have on cell function and development, creating challenges in syndrome definition, and exemplify the importance of functional profiling for syndrome recognition and delineation