Search

Cornelia de Lange syndrome (CdLS) is a dominant multisystemic malformation syndrome due to mutations in five genes-NIPBL, SMC1A, HDAC8, SMC3, and RAD21. The characteristic facial dysmorphisms include microcephaly, arched eyebrows, synophrys, short nose with depressed bridge and anteverted nares, long philtrum, thin lips, micrognathia, and hypertrichosis. Most affected individuals have intellectual disability, growth deficiency, and upper limb anomalies. This study looked at individuals from diverse populations with both clinical and molecularly confirmed diagnoses of CdLS by facial analysis technology. Clinical data and images from 246 individuals with CdLS were obtained from 15 countries. This cohort included 49% female patients and ages ranged from infancy to 37 years. Individuals were grouped into ancestry categories of African descent, Asian, Latin American, Middle Eastern, and Caucasian. Across these populations, 14 features showed a statistically significant difference. The most common facial features found in all ancestry groups included synophrys, short nose with anteverted nares, and a long philtrum with thin vermillion of the upper lip. Using facial analysis technology we compared 246 individuals with CdLS to 246 gender/age matched controls and found that sensitivity was equal or greater than 95% for all groups. Specificity was equal or greater than 91%. In conclusion, we present consistent clinical findings from global populations with CdLS while demonstrating how facial analysis technology can be a tool to support accurate diagnoses in the clinical setting. This work, along with prior studies in this arena, will assist in earlier detection, recognition, and treatment of CdLS worldwide.

Existing methods for monitoring water-born fecal coliforms fail to address the origin of fecal contamination. We have tracked the sources of fecal coliform contamination in surface waters near Marion, Alabama [...]

Using an integrated approach incorporating proteomics, metabolomics and published mRNA data, we have investigated the effects of hydrogen peroxide on wild type and a Sty1p-deletion mutant of the fission yeast Schizosaccharomyces pombe. Differential protein expression analysis based on the modification of proteins with matched fluorescent labelling reagents (2-D-DIGE) is the foundation of the quantitative proteomics approach. This study identifies 260 differentially expressed protein isoforms from 2-D-DIGE gels using MALDI MS and reveals the complexity of the cellular response to oxidative stress and the dependency on the Sty1p stress-activated protein kinase. We show the relationship between these protein changes and mRNA expression levels identified in a parallel whole genome study, and discuss the regulatory mechanisms involved in protecting cells against hydrogen peroxide and the involvement of Sty1p-dependent stress-activated protein kinase signalling. Metabolomic profiling of 29 intermediates using 1H NMR was also conducted alongside the protein analysis using the same sample sets, allowing examination of how the protein changes might affect the metabolic pathways and biological processes involved in the oxidative stress response. This combined analysis identifies a number of interlinked metabolic pathways that exhibit stress- and Sty1-dependent patterns of regulation.