The mental health of youth and young adults during the transition to adulthood in Egypt

BackgroundThere has been growing interest in the stalled transition to adulthood in the Middle East and North Africa (MENA) and its consequences for young people's socioeconomic outcomes. However, little is known about how important life transitions relate to youth psychosocial well-being in the region.ObjectiveDrawing on a life course framework, we estimate the associations between making transitions in education, employment, and marriage with changes in mental health among young people in Egypt.MethodsWe descriptively analyze mental health scores, measured via the Self-Reporting Questionnaire-20 and disaggregated by gender, for a panel of young people first surveyed in 2009 at ages 13-29 and followed up in late 2013 and early 2014. We regress change in mental health scores against indicators of making different transitions.ResultsYoung women experience worse mental health than young men overall. Lower school achievement was associated with poorer mental health; being out of the labor force was an additional risk factor for young men. While average mental health scores improved over time, over a quarter of the sample experienced worsening mental health, related to failure to marry and find a job among older men, and failure to finish schooling among younger women.ConclusionsMental health is an important but often overlooked component of youth well-being during the transition to adulthood in MENA, and potentially other low- and middle-income countries.ContributionThis is the first paper to empirically examine the relationship between psychosocial well-being and achieving important socioeconomic milestones among a nationally representative cohort of young people in MENA

Individual Differences in Learning v. Achievement: What Self-Regulation Really Predicts

What makes some students more effective learners and better academic performers than others? Is the answer identical with respect to learning and academic achievement, or do the contributing factors differ? I examined two kinds of self-regulation – cognitive regulation and behavior regulation – as predictors of individual differences in middle-school students’ learning and academic achievement. The type of learning investigated here is that of inductive learning, where knowledge must be discovered or constructed by the learner – the knowledge is not given to them, rather it is induced based on newly found evidence in light of preconceived beliefs. Across two studies, one a pilot study with underachieving students of lower socioeconomic status (SES) (n=21) and the other a larger study with a wider range of lower to middle SES students (n=135), results were consistent. A measure of cognitive regulation, but not behavior regulation, predicted learning effectiveness on an inquiry learning task adapted for this study. Behavior regulation, but not cognitive regulation, predicted academic achievement (assessed by state-administered standardized achievement tests). Longitudinal analyses were conducted to determine whether two distinct self-regulatory processes predicted change in academic performance. Cognitive regulation predicted improvement in math scores, while behavior regulation did not. Behavior regulation, however, showed little predictive power to English scores, and cognitive regulation showed none. Finally, to better understand the directional associations of these variables, structural equation modeling was performed. Results suggested that it is indeed cognitive regulatory processes, not behavior regulation, that predict learning effectiveness, which in turn predict improvement on both Math and English standardized test scores. These results support the conclusion that (a) learning and academic achievement are distinct constructs, and (b) cognitive regulation and behavior regulation are related, but distinct, processes of self-regulation, with cognitive regulation the more consequential as a long-term predictor of both learning and academic achievement

H-DBAS: human-transcriptome database for alternative splicing: update 2010

H-DBAS (http://h-invitational.jp/h-dbas/) is a specialized database for human alternative splicing (AS) based on H-Invitational full-length cDNAs. In this update, for better annotations of AS events, we correlated RNA-Seq tag information to the AS exons and splice junctions. We generated a total of 148 376 598 RNA-Seq tags from RNAs extracted from cytoplasmic, nuclear and polysome fractions. Analysis of the RNA-Seq tags allowed us to identify 90 900 exons that are very likely to be used for protein synthesis. On the other hand, 254 AS junctions of human RefSeq transcripts are unique to nuclear RNA and may not have any translational consequences. We also present a new comparative genomics viewer so that users can empirically understand the evolutionary turnover of AS. With the unique experimental data closely connected with intensively curated cDNA information, H-DBAS provides a unique platform for the analysis of complex AS

Notch signaling regulates metabolic heterogeneity in glioblastoma stem cells.

Glioblastoma (GBM) stem cells (GSCs) reside in both hypoxic and vascular microenvironments within tumors. The molecular mechanisms that allow GSCs to occupy such contrasting niches are not understood. We used patient-derived GBM cultures to identify GSC subtypes with differential activation of Notch signaling, which co-exist in tumors but occupy distinct niches and match their metabolism accordingly. Multipotent GSCs with Notch pathway activation reside in perivascular niches, and are unable to entrain anaerobic glycolysis during hypoxia. In contrast, most CD133-expressing GSCs do not depend on canonical Notch signaling, populate tumors regardless of local vascularity and selectively utilize anaerobic glycolysis to expand in hypoxia. Ectopic activation of Notch signaling in CD133-expressing GSCs is sufficient to suppress anaerobic glycolysis and resistance to hypoxia. These findings demonstrate a novel role for Notch signaling in regulating GSC metabolism and suggest intratumoral GSC heterogeneity ensures metabolic adaptations to support tumor growth in diverse tumor microenvironments

Exon-phase symmetry and intrinsic structural disorder promote modular evolution in the human genome

A key signature of module exchange in the genome is phase symmetry of exons, suggestive of exon shuffling events that occurred without disrupting translation reading frame. At the protein level, intrinsic structural disorder may be another key element because disordered regions often serve as functional elements that can be effectively integrated into a protein structure. Therefore, we asked whether exon-phase symmetry in the human genome and structural disorder in the human proteome are connected, signalling such evolutionary mechanisms in the assembly of multi-exon genes. We found an elevated level of structural disorder of regions encoded by symmetric exons and a preferred symmetry of exons encoding for mostly disordered regions (>70% predicted disorder). Alternatively spliced symmetric exons tend to correspond to the most disordered regions. The genes of mostly disordered proteins (>70% predicted disorder) tend to be assembled from symmetric exons, which often arise by internal tandem duplications. Preponderance of certain types of short motifs (e.g. SH3-binding motif) and domains (e.g. high-mobility group domains) suggests that certain disordered modules have been particularly effective in exon-shuffling events. Our observations suggest that structural disorder has facilitated modular assembly of complex genes in evolution of the human genome. © 2013 The Author(s)

Exon and junction microarrays detect widespread mouse strain- and sex-bias expression differences

Background: Studies have shown that genetic and sex differences strongly influence gene expression in mice. Given the diversity and complexity of transcripts produced by alternative splicing, we sought to use microarrays to establish the extent of variation found in mouse strains and genders. Here, we surveyed the effect of strain and sex on liver gene and exon expression using male and female mice from three different inbred strains. Results: 71 liver RNA samples from three mouse strains - DBA/2J, C57BL/6J and C3H/HeJ - were profiled using a custom-designed microarray monitoring exon and exon-junction expression of 1,020 genes representing 9,406 exons. Gene expression was calculated via two different methods, using the 3'-most exon probe ("3' gene expression profiling") and using all probes associated with the gene ("whole-transcript gene expression profiling"), while exon expression was determined using exon probes and flanking junction probes that spanned across the neighboring exons ("exon expression profiling"). Widespread strain and sex influences were detected using a two-way Analysis of Variance (ANOVA) regardless of the profiling method used. However, over 90% of the genes identified in 3' gene expression profiling or whole transcript profiling were identified in exon profiling, along with 75% and 38% more genes, respectively, showing evidence of differential isoform expression. Overall, 55% and 32% of genes, respectively, exhibited strain- and sex-bias differential gene or exon expression. Conclusion: Exon expression profiling identifies significantly more variation than both 3' gene expression profiling and whole-transcript gene expression profiling. A large percentage of genes that are not differentially expressed at the gene level demonstrate exon expression variation suggesting an influence of strain and sex on alternative splicing and a need to profile expression changes at sub-gene resolution

Large-scale identification and characterization of alternative splicing variants of human gene transcripts using 56 419 completely sequenced and manually annotated full-length cDNAs

We report the first genome-wide identification and characterization of alternative splicing in human gene transcripts based on analysis of the full-length cDNAs. Applying both manual and computational analyses for 56 419 completely sequenced and precisely annotated full-length cDNAs selected for the H-Invitational human transcriptome annotation meetings, we identified 6877 alternative splicing genes with 18 297 different alternative splicing variants. A total of 37 670 exons were involved in these alternative splicing events. The encoded protein sequences were affected in 6005 of the 6877 genes. Notably, alternative splicing affected protein motifs in 3015 genes, subcellular localizations in 2982 genes and transmembrane domains in 1348 genes. We also identified interesting patterns of alternative splicing, in which two distinct genes seemed to be bridged, nested or having overlapping protein coding sequences (CDSs) of different reading frames (multiple CDS). In these cases, completely unrelated proteins are encoded by a single locus. Genome-wide annotations of alternative splicing, relying on full-length cDNAs, should lay firm groundwork for exploring in detail the diversification of protein function, which is mediated by the fast expanding universe of alternative splicing variants

Structural implication of splicing stochastics

Even though nearly every human gene has at least one alternative splice form, very little is so far known about the structure and function of resulting protein products. It is becoming increasingly clear that a significant fraction of all isoforms are products of noisy selection of splice sites and thus contribute little to actual functional diversity, and may potentially be deleterious. In this study, we examine the impact of alternative splicing on protein sequence and structure in three datasets: alternative splicing events conserved across multiple species, alternative splicing events in genes that are strongly linked to disease and all observed alternative splicing events. We find that the vast majority of all alternative isoforms result in unstable protein conformations. In contrast to that, the small subset of isoforms conserved across species tends to maintain protein structural integrity to a greater extent. Alternative splicing in disease-associated genes produces unstable structures just as frequently as all other genes, indicating that selection to reduce the effects of alternative splicing on this set is not especially pronounced. Overall, the properties of alternative spliced proteins are consistent with the outcome of noisy selection of splice sites by splicing machinery

Fungal contamination of indoor public swimming pools and their dominant physical and chemical properties

Introduction: Considering to the existence of both parasitic and fungal pathogens in the indoor public swimming pools and non-utilization of suitable filtration and disinfection systems in these places, this research aimed to determine the relationship between the indoor public swimming pools and possible pollution with parasitic and fungal agents, as well as physical and chemical characteristics of these pools and compare the results with national standards. Methods: In this study, 11 active indoor swimming pools of Zahedan city were sampled, using plastic pumps techniques, at the middle of winter to the late summer season. A total of 88 water samples (eight water samples from each pool) were examined to determine the residual chlorine, contamination with parasitic and fungal agents, using culture media and slide culture techniques. Results were analyzed with SPSS software (V16) and, Microsoft Excel (V2010). Results: The findings revealed parasitic fungal contamination with Cladosporium, Penicillium, Aspergillus flavus and Aspergillus fumigatus, etc. and the physicochemical factors comply with the minimum standards had which indicates the need for continuous monitoring and control of water filtration and disinfection of water is swimming. Conclusion: The results show reasonable derangement of physicochemical and microbial factors of the evaluated pools. Efforts shall be made by the concerned authorities to provide health education to users, quality water at the pools and to maintain the safety and quality of the water through proper and adequate chlorination