An Investigation of Bacterial Ribonucleases as an Antibiotic Target

Antibiotics have been commonly used in medical practice for over 40 years. However, the misuse and overuse of current antibiotics is thought to be the primary cause for the increase in antibiotic resistance. Many current antibiotics target the bacterial ribosome. Antibiotics such as aminoglycosides and macrolides specifically target the 30S or 50S subunits to inhibit bacterial growth. During the assembly of the bacterial ribosome, ribosomal RNA of the 30S and 50S ribosomal subunits is processed by bacterial ribonucleases (RNases). RNases are also involved in the degradation and turnover of this RNA during times of stress, such as the presence of an antibiotic. This makes ribonucleases a potential target for novel antibiotics. It was shown that Escherichia coli mutants that were deficient for RNase III, RNase E, RNase R, RNase G, or RNase PH had an increase in ribosomal subunit assembly defects. These mutant bacterial cells also displayed an increased sensitivity to neomycin and paromomycin antibiotics. My research has also shown that an inhibitor of RNases, vanadyl ribonucleoside complex, potentiated the effects of an aminoglycoside and a macrolide antibiotic in wild type Escherichia coli, methicillin sensitive Staphylococcus aureus, and methicillin resistant Staphylococcus aureus. RNases are essential enzymes in both rRNA maturation and degradation. Based on this and previous work, the inhibition of specific RNases leads to an increased sensitivity to antibiotics. This work demonstrates that the inhibition of RNases might be a new target to combat antibiotic resistance

An Analysis of the Current Use and Future Intentions to Use Mobile Learning Strategies Among Full-Time Community College Faculty

This quantitative study examined how full-time community college faculty members in southern states use mobile learning (m-Learning) strategies as tools for student engagement. Specifically, research questions were designed to measure the current use of six key m-Learning strategies: augmented reality, file/resource sharing, gaming/simulation, reference/research applications, social media, and text messaging. This study also probed into faculty attitudes and beliefs in four areas: performance expectancy, effort expectancy, social influence, and facilitating conditions. Statistical analyses were conducted to determine existing relationships between these four determinants and the intentions of faculty members to use m-Learning strategies in the forthcoming academic year. Additionally, research analyzed whether relationships were modified by the presence of faculty age, gender, and years of teaching experience. Data collection involved the analysis of responses to a 21-item, self-administered, online survey. Twelve colleges were randomly selected from the Level-One institutions that are accredited by the Southern Association of Colleges and Schools Commission on Colleges. Their full-time faculty members were then surveyed. Results found that approximately two-thirds of the 546 respondents used one or more of the m-Learning strategies during the 2012-13 academic year. The most frequently used strategy was file/resource sharing, and the least used strategy was augmented reality. Respondents indicated the lack of student access to equipment, limited institutional support, minimal training, and shortages of time as barriers to use. Several respondents also perceived the strategies as disruptive to the learning process. Each of the four determinants was found to have positive associations with the intended use of six m-Learning strategies, but accounted for a relatively low variance in the prediction of future use. Age was found to have moderating effects on the intended use of augmented reality and text messaging. Gender had no moderating effects, and the total years of experience slightly modified one relationship. Given the increased emphasis on community colleges to educate today\u27s workforce, it is essential for educators to assess effective models for student engagement. This research offers timely insight into the factors driving m-Learning adoption, and adds to discussion about the role of m-Learning in meeting the needs of a uniquely diverse student demographic

Engaging High-Ability Students in Literacy: A University and Elementary School Transformational Partnership

The purpose of this qualitative research was to examine how a service learning literacy course impacted preservice teacher perceptions of intermediate-aged high-ability children in a mid-high poverty school, and how the educators in the partnering school viewed the experience. Pre- and post-experience responses from preservice teachers and open-ended survey responses from participating educators at the partnering school helped evaluate service learning and measure the impact of the partnership. Results indicated that, after the service learning program, preservice teachers better understood both the developmental literacy needs of intermediate students as well as how to lead a novel study while challenging and mentoring gifted students. Using engaging, diverse books with strong themes and rich vocabulary, the school received formerly lacking literacy curriculum and instruction for gifted children that seemed to contribute to improved student test scores and building a school community of readers. Connections between the university and school were established through email, texts, face-to-face interactions, and Google Docs. This led to a university and school partnership that was mutually beneficial because the program planning was intentional, developed by leaders of both entities, and continually assessed

Preservice Teacher Perceptions of Coding in Literacy Instruction

Coding is a language with many similarities to what is traditionally thought of as literacy. Preservice teachers are familiar with literacy instruction, but were not exposed to computer science during their K-12 education nor in their teacher education course work. Yet, they are responsible for preparing children for future careers, including the growing field of computer science, which should be integrated as early as possible into the general education curriculum to build awareness, interest, and ultimately, skills. In this study, preservice teachers in a K-6 reading interventions class were trained in Scratch and provided a template to use with children struggling in various aspects of literacy. This article examines how preservice teachers perceive the relationship between coding and literacy through the theoretical framework of gaming, and whether they would include coding in literacy instruction. Results indicate preservice teachers do not feel confident enough in their teaching abilities to feel comfortable integrating coding into literacy instruction. Lack of prior knowledge and time constraints contributed to those that chose not to participate. Success occurred as Scratch was found to be motivating and individualized when using self-selected pictures and voice to connect to the written word, supporting children’s literacy learning

Professional Development and Educational Policy: A Comparison of Two Fields in Education

The purpose of this paper is to compare two fields of research related to school reform: professional development and educational policy. A content analysis of the literature in both fields revealed two areas where they align (i.e., a focus on teachers’ professional development and the idea that change takes time) as well as two areas where there are differences (i.e., theoretical grounding of each field and planning for teachers’ learning). Considerations for successful school reform are suggested

Working with religious and spiritual athletes: ethical considerations for sport psychologists

With a growing number of sport performers revealing their religious and spiritual beliefs, it is becoming increasingly important for sport psychologists to recognize and appreciate the values (and value systems) to which such beliefs are attached. Using the RRICC model (Plante, 2007) as a framework for discussion, and through the lens of cultural praxis, the purpose of this article is to highlight ethical issues for sport psychologists when working with religious and spiritual athletes. The RRICC model addresses the ethical principles of respect, responsibility, integrity, competence, and concern. It is hoped that a discussion of these guidelines will help sport psychologists better navigate the often challenging landscape of working with athletes whose everyday lives and identities are grounded in religious and spiritual association

Genome-Wide Interactions with Dairy Intake for Body Mass Index in Adults of European Descent

Scope: Body weight responds variably to the intake of dairy foods. Genetic variation may contribute to inter‐individual variability in associations between body weight and dairy consumption. Methods and results: A genome‐wide interaction study to discover genetic variants that account for variation in BMI in the context of low‐fat, high‐fat and total dairy intake in cross‐sectional analysis was conducted. Data from nine discovery studies (up to 25 513 European descent individuals) were meta‐analyzed. Twenty‐six genetic variants reached the selected significance threshold (p‐interaction \u3c10−7), and six independent variants (LINC01512‐rs7751666, PALM2/AKAP2‐rs914359, ACTA2‐rs1388, PPP1R12A‐rs7961195, LINC00333‐rs9635058, AC098847.1‐rs1791355) were evaluated meta‐analytically for replication of interaction in up to 17 675 individuals. Variant rs9635058 (128 kb 3’ of LINC00333) was replicated (p‐interaction = 0.004). In the discovery cohorts, rs9635058 interacted with dairy (p‐interaction = 7.36 × 10−8) such that each serving of low‐fat dairy was associated with 0.225 kg m−2 lower BMI per each additional copy of the effect allele (A). A second genetic variant (ACTA2‐rs1388) approached interaction replication significance for low‐fat dairy exposure. Conclusion: Body weight responses to dairy intake may be modified by genotype, in that greater dairy intake may protect a genetic subgroup from higher body weight

Active Nuclear Receptors Exhibit Highly Correlated AF-2 Domain Motions

Nuclear receptor ligand binding domains (LBDs) convert ligand binding events into changes in gene expression by recruiting transcriptional coregulators to a conserved activation function-2 (AF-2) surface. While most nuclear receptor LBDs form homo- or heterodimers, the human nuclear receptor pregnane X receptor (PXR) forms a unique and essential homodimer and is proposed to assemble into a functional heterotetramer with the retinoid X receptor (RXR). How the homodimer interface, which is located 30 Å from the AF-2, would affect function at this critical surface has remained unclear. By using 20- to 30-ns molecular dynamics simulations on PXR in various oligomerization states, we observed a remarkably high degree of correlated motion in the PXR–RXR heterotetramer, most notably in the four helices that create the AF-2 domain. The function of such correlation may be to create “active-capable” receptor complexes that are ready to bind to transcriptional coactivators. Indeed, we found in additional simulations that active-capable receptor complexes involving other orphan or steroid nuclear receptors also exhibit highly correlated AF-2 domain motions. We further propose a mechanism for the transmission of long-range motions through the nuclear receptor LBD to the AF-2 surface. Taken together, our findings indicate that long-range motions within the LBD scaffold are critical to nuclear receptor function by promoting a mobile AF-2 state ready to bind coactivators

Meta-analysis across Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium provides evidence for an association of serum vitamin D with pulmonary function

The role that vitamin D plays in pulmonary function remains uncertain. Epidemiological studies reported mixed findings for serum 25-hydroxyvitamin D (25(OH)D)-pulmonary function association. We conducted the largest cross-sectional meta-analysis of the 25(OH)D-pulmonary function association to date, based on nine European ancestry (EA) cohorts (n 22 838) and five African ancestry (AA) cohorts (n 4290) in the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium. Data were analysed using linear models by cohort and ancestry. Effect modification by smoking status (current/former/never) was tested. Results were combined using fixed-effects meta-analysis. Mean serum 25(OH)D was 68 (SD 29) nmol/l for EA and 49 (SD 21) nmol/l for AA. For each 1 nmol/l higher 25(OH)D, forced expiratory volume in the 1st second (FEV1) was higher by 1.1 ml in EA (95 % CI 0.9, 1.3; P< 0.0001) and 1.8 ml (95 % CI 1.1, 2.5; P< 0.0001) in AA (P-race (difference) = 0.06), and forced vital capacity (FVC) was higher by 1.3 ml in EA (95 % CI 1.0, 1.6; P <0.0001) and 1.5 ml (95 % CI 0.8, 2.3; P= 0.0001) in AA (P-race difference = 0.56). Among EA, the 25(OH)D-FVC association was stronger in smokers: per 1 nmol/l higher 25(OH) D, FVC was higher by 1.7 ml (95 % CI 1.1, 2.3) for current smokers and 1.7 ml (95 % CI 1.2, 2.1) for former smokers, compared with 0.8 ml (95 % CI 0.4, 1.2) for never smokers. In summary, the 25(OH)D associations with FEV1 and FVC were positive in both ancestries. In EA, a stronger association was observed for smokers compared with never smokers, which supports the importance of vitamin D in vulnerable populations

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead