A research program-linked, course-based undergraduate research experience that allows undergraduates to participate in current research on mycobacterial gene regulation

Undergraduate instructional biology laboratories are typically taught within two paradigms. Some labs focus on protocols and techniques delivered in “cookbook” format with defined experimental outcomes. There is increasing momentum to alternatively employ student-driven, open-ended, and discovery-based strategies, often via course-based undergraduate research experiences (CUREs) using crowd-sourcing initiatives. A fraction of students also participate in funded research in faculty research labs, where they have opportunities to work on projects designed to expand the frontiers of human knowledge. These experiences are widely recognized as valuable but are not scalable, as most institutions have many more undergraduates than research lab positions. We sought to address this gap through our department’s curriculum by creating an opportunity for students to participate in the real-world research process within a laboratory course. We conceived, developed, and delivered an authentic, guided research experience to students in an upper-level molecular biology laboratory course. We refer to this model as a “research program-linked CURE.” The research questions come directly from a faculty member’s research lab and evolve along with that research program. Students study post-transcriptional regulation in mycobacteria. We use current molecular biology methodologies to test hypotheses like “UTRs affect RNA and protein expression levels,” “there is functional redundancy among RNA helicases,” and “carbon starvation alters mRNA 5′ end chemistries.” We conducted standard assessments and developed a customized “Skills and Concepts Inventory” survey to gauge how well the course met our student learning outcomes. We report the results of our assessments and describe challenges addressed during development and execution of the course, including organizing activities to fit within an instructional lab, balancing breadth with depth, and maintaining authenticity while giving students the experience of obtaining interpretable and novel results. Our data suggest student learning was enhanced through this truly authentic research approach. Further, students were able to perceive they were participants and contributors within an active research paradigm. Students reported increases in their self-identification as scientists, and a positive impact on their career trajectories. An additional benefit was reciprocation back to the funded research laboratory, by funneling course alumni, results, materials, and protocols

From Spin Ladders to the 2-d O(3) Model at Non-Zero Density

The numerical simulation of various field theories at non-zero chemical potential suffers from severe complex action problems. In particular, QCD at non-zero quark density can presently not be simulated for that reason. A similar complex action problem arises in the 2-d O(3) model -- a toy model for QCD. Here we construct the 2-d O(3) model at non-zero density via dimensional reduction of an antiferromagnetic quantum spin ladder in a magnetic field. The complex action problem of the 2-d O(3) model manifests itself as a sign problem of the ladder system. This sign problem is solved completely with a meron-cluster algorithm.Comment: Based on a talk by U.-J. Wiese, 6 pages, 12 figures, to be published in computer physics communication

Defining the Transcriptional and Post-transcriptional Landscapes of Mycobacterium smegmatis in Aerobic Growth and Hypoxia

The ability of Mycobacterium tuberculosis to infect, proliferate, and survive during long periods in the human lungs largely depends on the rigorous control of gene expression. Transcriptome-wide analyses are key to understanding gene regulation on a global scale. Here, we combine 5′-end-directed libraries with RNAseq expression libraries to gain insight into the transcriptome organization and post-transcriptional mRNA cleavage landscape in mycobacteria during log phase growth and under hypoxia, a physiologically relevant stress condition. Using the model organism Mycobacterium smegmatis, we identified 6,090 transcription start sites (TSSs) with high confidence during log phase growth, of which 67% were categorized as primary TSSs for annotated genes, and the remaining were classified as internal, antisense, or orphan, according to their genomic context. Interestingly, over 25% of the RNA transcripts lack a leader sequence, and of the coding sequences that do have leaders, 53% lack a strong consensus Shine-Dalgarno site. This indicates that like M. tuberculosis, M. smegmatis can initiate translation through multiple mechanisms. Our approach also allowed us to identify over 3,000 RNA cleavage sites, which occur at a novel sequence motif. To our knowledge, this represents the first report of a transcriptome-wide RNA cleavage site map in mycobacteria. The cleavage sites show a positional bias toward mRNA regulatory regions, highlighting the importance of post-transcriptional regulation in gene expression. We show that in low oxygen, a condition associated with the host environment during infection, mycobacteria change their transcriptomic profiles and endonucleolytic RNA cleavage is markedly reduced, suggesting a mechanistic explanation for previous reports of increased mRNA half-lives in response to stress. In addition, a number of TSSs were triggered in hypoxia, 56 of which contain the binding motif for the sigma factor SigF in their promoter regions. This suggests that SigF makes direct contributions to transcriptomic remodeling in hypoxia-challenged mycobacteria. Taken together, our data provide a foundation for further study of both transcriptional and posttranscriptional regulation in mycobacteria

Gender: An Important Factor in the Implementation of Services for Juvenile Offenders

The Child Welfare League of America (2003) reported that between 1980 and 2000 the arrest rate for boys declined by 11% but increased for girls by 35%. A well tested case management approach being applied more commonly in juvenile justice is the Risk-Needs-Responsivity (RNR) approach, which suggests that interventions and services should be commensurate with ones level of risk and specific dynamic risk factors (criminogenic needs). The RNR model tends to be seen as gender-neutral , based on assumption that it works equally well with both sexes. Few studies have examined whether gender differences exist in the effectiveness of RNR-type case planning. Vitopoulos et al., (2012) examined possible RNR differences between justice-involved boys and girls using the Youth Level of Service/Case Management Inventory (YLS/CMI). Across all of the criminogenic need areas (e.g. antisocial attitudes, peer affiliations), only the personality domain was significantly different by gender, such that more girls than boys seemed to have a problem inthis area. They did not find any gender differences in the matching of services to needs identified; however, a higher match between clinician-recommended needs and assigned treatment services (service-to-needs match) predicted a decrease in boys\u27 re-offending but not in girls\u27 reoffending. Given the paucity of research, we are left to question the applicability of some RNR principles or the quality of their implementation for girl offenders. Using the Structured Assessment of Violence Risk for Youth (SAVRY)) in three probation officies to measure both risk level and dynamic risk factors (criminogenic needs), we examined whether within a large sample of youth there were gender differences in the (a) criminogenic needs identified, (b) ability of probation officers (POs) to match services to needs in their case planning and (c) the association of the serve-need match to recidivism

Loss of RNase J leads to multi-drug tolerance and accumulation of highly structured mRNA fragments in Mycobacterium tuberculosis

Despite the existence of well-characterized, canonical mutations that confer high-level drug resistance to Mycobacterium tuberculosis (Mtb), there is evidence that drug resistance mechanisms are more complex than simple acquisition of such mutations. Recent studies have shown that Mtb can acquire non-canonical resistance-associated mutations that confer survival advantages in the presence of certain drugs, likely acting as stepping-stones for acquisition of high-level resistance. Rv2752c/rnj, encoding RNase J, is disproportionately mutated in drug-resistant clinical Mtb isolates. Here we show that deletion of rnj confers increased tolerance to lethal concentrations of several drugs. RNAseq revealed that RNase J affects expression of a subset of genes enriched for PE/PPE genes and stable RNAs and is key for proper 23S rRNA maturation. Gene expression differences implicated two sRNAs and ppe50-ppe51 as important contributors to the drug tolerance phenotype. In addition, we found that in the absence of RNase J, many short RNA fragments accumulate because they are degraded at slower rates. We show that the accumulated transcript fragments are targets of RNase J and are characterized by strong secondary structure and high G+C content, indicating that RNase J has a rate-limiting role in degradation of highly structured RNAs. Taken together, our results demonstrate that RNase J indirectly affects drug tolerance, as well as reveal the endogenous roles of RNase J in mycobacterial RNA metabolism.Fil: Martini, María Carla. Worcester Polytechnic Institute; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Hicks, Nathan D.. Harvard University. Harvard School of Public Health; Estados UnidosFil: Xiao, Junpei. Worcester Polytechnic Institute; Estados UnidosFil: Alonso, Maria Natalia. Worcester Polytechnic Institute; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Barbier, Thibault. Harvard University. Harvard School of Public Health; Estados UnidosFil: Sixsmith, Jaimie. Harvard University. Harvard School of Public Health; Estados UnidosFil: Fortune, Sarah M.. Harvard University. Harvard School of Public Health; Estados UnidosFil: Shell, Scarlet S.. Worcester Polytechnic Institute; Estados Unido

Emerging applications of nanotechnology for diagnosis and therapy of disease: a review

Nanotechnology is of increasing interest in the fields of medicine and physiology over recent years. Its application could considerably improve disease detection and therapy, and although the potential is considerable, there are still many challenges, which need to be addressed before it is accepted in routine clinical use. This review focuses on emerging applications that nanotechnology could enhance or provide new approaches in diagnoses and therapy. The main focus of recent research centres on targeted therapies and enhancing imaging; however, the introduction of nanomaterial into the human body must be controlled, as there are many issues with possible toxicity and long-term effects. Despite these issues, the potential for nanotechnology to provide new methods of combating cancer and other disease conditions is considerable. There are still key challenges for researchers in this field, including the means of delivery and targetting in the body to provide effective treatment for specific disease conditions. Nanoparticles are difficult to measure due to the size and physical properties; hence there is still a great need to improve physiological measurements method in the field to ascertain how effective their use is in the human subject. This review is a brief snapshot into the fast changing research field of measurement and physiological links to nanoparticle use and its potential in the future

Data Science and Machine Learning in Education

The growing role of data science (DS) and machine learning (ML) in high-energy physics (HEP) is well established and pertinent given the complex detectors, large data, sets and sophisticated analyses at the heart of HEP research. Moreover, exploiting symmetries inherent in physics data have inspired physics-informed ML as a vibrant sub-field of computer science research. HEP researchers benefit greatly from materials widely available materials for use in education, training and workforce development. They are also contributing to these materials and providing software to DS/ML-related fields. Increasingly, physics departments are offering courses at the intersection of DS, ML and physics, often using curricula developed by HEP researchers and involving open software and data used in HEP. In this white paper, we explore synergies between HEP research and DS/ML education, discuss opportunities and challenges at this intersection, and propose community activities that will be mutually beneficial.Comment: Contribution to Snowmass 202

Inhibition of HIV virus by neutralizing Vhh attached to dual functional liposomes encapsulating dapivirine

Although highly active antiretroviral therapy (HAART) has greatly improved the life expectancy of HIV/AIDS patients, the treatment is not curative. It is a global challenge which fosters an urgent need to develop an effective drug or neutralizing antibody delivery approach for the prevention and treatment of this disease. Due to the low density of envelope spikes with restricted mobility present on the surface of HIV virus, which limit the antibody potency and allow virus mutation and escape from the immune system, it is important for a neutralizing antibody to form bivalent or multivalent bonds with the virus. Liposome constructs could fulfil this need due to the flexible mobility of the membrane with its attached antibodies and the capacity for drug encapsulation. In this study, we evaluated the neutralization activity of a range of liposome formulations in different sizes coated with anti-gp120 llama antibody fragments (Vhhs) conjugated via either non-covalent metal chelation or a covalent linkage. The non-covalent construct demonstrated identical binding affinity to HIV-1 envelope glycoprotein gp120 and neutralizing ability for HIV virus as free Vhh. Although covalently linked Vhh showed significant binding affinity to gp120, it unexpectedly had a lower neutralization potency. This may be due to the comparability in size of the viral and liposome particles restricting the number which can be bound to the liposome surface so involving only a fraction of the antibodies, whereas non-covalently attached antibodies dissociate from the surface after acting with gp120 and free the remainder to bind further viruses. Covalently conjugated Vhh might also trigger the cellular uptake of a liposome-virion complex. To explore the possible ability of the antibody-coated liposomes to have a further function, we encapsulated the hydrophobic antiviral drug dapivirine into both of the non-covalently and covalently conjugated liposome formulations, both of which revealed high efficacy in reducing viral replication in vitro. Thus, dual function liposomes may lead to a novel strategy for the prophylaxis of HIV/AIDS by combining the neutralizing activity of Vhh with antiviral effects of high drug concentrations

Computer-based technology and student engagement: a critical review of the literature

Computer-based technology has infiltrated many aspects of life and industry, yet there is little understanding of how it can be used to promote student engagement, a concept receiving strong attention in higher education due to its association with a number of positive academic outcomes. The purpose of this article is to present a critical review of the literature from the past 5 years related to how web-conferencing software, blogs, wikis, social networking sites (Facebook and Twitter), and digital games influence student engagement. We prefaced the findings with a substantive overview of student engagement definitions and indicators, which revealed three types of engagement (behavioral, emotional, and cognitive) that informed how we classified articles. Our findings suggest that digital games provide the most far-reaching influence across different types of student engagement, followed by web-conferencing and Facebook. Findings regarding wikis, blogs, and Twitter are less conclusive and significantly limited in number of studies conducted within the past 5 years. Overall, the findings provide preliminary support that computer-based technology influences student engagement, however, additional research is needed to confirm and build on these findings. We conclude the article by providing a list of recommendations for practice, with the intent of increasing understanding of how computer-based technology may be purposefully implemented to achieve the greatest gains in student engagement. © 2017, The Author(s)