Lily Chen

Solution Structure of a Bovine Immunodeficiency Virus Tat-TAR Peptide-RNA Complex

The Tat protein of bovine immunodeficiency virus (BIV) binds to its target RNA, TAR, and activates transcription. A 14-amino acid arginine-rich peptide corresponding to the RNA-binding domain of BIV Tat binds specifically to BIV TAR, and biochemical and in vivo experiments have identified the amino acids and nucleotides required for binding. The solution structure of the RNA-peptide complex has now been determined by nuclear magnetic resonance spectroscopy. TAR forms a virtually continuous A-form helix with two unstacked bulged nucleotides. The peptide adopts a β-turn conformation and sits in the major groove of the RNA. Specific contacts are apparent between critical amino acids in the peptide and bases and phosphates in the RNA. The structure is consistent with all biochemical data and demonstrates ways in which proteins can recognize the major groove of RNA.

RNA recognition by an isolated α helix

Abstract A 17 amino acid peptide containing the arginine-rich region of the HIV Rev protein binds specifically to Rev response element (RRE) RNA. Even though it is highly charged, the peptide forms an α helix in solution, but only when its N- and C-termini are modified to provide favorable electrostatic interactions with the helix macrodipole. Binding affinity for IIB RNA (the primary binding site within the RRE) increases with α helix content, whereas nonspecific binding affinity is independent of helix content. Binding of mutant peptides demonstrates that one threonine, one asparagine, and four arginine side chains are important for sequence-specific recognition. Transactivation of the HIV LTR using Tat-Rev peptide hybrids and the RRE IIB site indicates that the peptide adopts an α-helical conformation in vivo. The results suggest that interactions with the RNA backbone may help to orient the α helix in the major groove of RNA.

Schistosome female reproductive development

Schistosome parasites have evolved to produce a number of unique features in their life history; one of these is separate sexes. This has, in turn, led to a novel interplay between the male and female parasite that has been recognized for over 50 years: the growth and reproductive development of the female parasite is in some way regulated by the male schistosome. Early classical and later experimental studies established that the presence of the male schistosome is necessary not only for the initiation of female development but also for the maintenance of her mature state. The male parasite regulates the reproductive development of the female, partly by providing a stimulus that is necessary for the development of the vitelline gland. The cells of the vitelline gland provide nutrients and shell precursors for the egg. Also in this review by Philip LoVerde and Li-ly Chen, it is interesting to note that recent molecular studies have confirmed early work by showing that gene expression in the female parasite is developmentally regulated in a tissue-specific manner and that this gene expression is controlled by the presence of a male parasite.

An algorithm for the typing of enteroviruses and correlation to serotyping by viral neutralization

BACKGROUND Human enteroviruses (HEVs) are common pathogens which cause a broad spectrum of illnesses ranging from asymptomatic infection to acute myocarditis and aseptic meningitis. The neutralization assay for serotype determination is labor-intensive and time-consuming. There is a need for a methodology that is more rapid and widely accessible. OBJECTIVES Our goals were to develop an algorithm to type enteroviruses which combines both serologic typing, based on indirect immunofluorescence assay (IFA) using type-specific monoclonal antibodies (mAbs) and genotyping, by DNA sequence analysis and to assess the correlation of both IFA and genotyping to traditional viral neutralization by type-specific antisera. STUDY DESIGN Clinical specimens initially determined to be enterovirus positive by nucleic acid detection were grown in cell culture and typed using mAbs. Specimens that could not be typed by mAbs were subject to molecular analysis. Genotyping was performed by a combination of either a primary or semi-nested RT-PCR for a region within VP3/VP1 and followed by direct DNA sequencing of PCR products. Database homology comparisons and phylogenetic analysis were performed based on a defined region (303 nt) within the VP1 gene. RESULTS We inoculated 134 enterovirus nucleic acid amplification-positive specimens into culture and 115 (86%) of these isolates were successfully typed by this algorithm. We have demonstrated a strong correlation between serotyping by viral neutralization to both IFA by type-specific mAbs and genotyping. CONCLUSIONS Typing of human enteroviruses can be effectively performed using an integration of antibody-based and molecular methods.

Global LC/MS Metabolomics Profiling of Calcium Stressed and Immunosuppressant Drug Treated Saccharomyces cerevisiae

Previous studies have shown that calcium stressed Saccharomyces cerevisiae, challenged with immunosuppressant drugs FK506 and Cyclosporin A, responds with comprehensive gene expression changes and attenuation of the generalized calcium stress response. Here, we describe a global metabolomics workflow for investigating the utility of tracking corresponding phenotypic changes. This was achieved by efficiently analyzing relative abundance differences between intracellular metabolite pools from wild-type and calcium stressed cultures, with and without prior immunosuppressant drugs exposure. We used pathway database content from WikiPathways and YeastCyc to facilitate the projection of our metabolomics profiling results onto biological pathways. A key challenge was to increase the coverage of the detected metabolites. This was achieved by applying both reverse phase (RP) and aqueous normal phase (ANP) chromatographic separations, as well as electrospray ionization (ESI) and atmospheric pressure chemical ionization (APCI) sources for detection in both ion polarities. Unsupervised principle component analysis (PCA) and ANOVA results revealed differentiation between wild-type controls, calcium stressed and immunosuppressant/calcium challenged cells. Untargeted data mining resulted in 247 differentially expressed, annotated metabolites, across at least one pair of conditions. A separate, targeted data mining strategy identified 187 differential, annotated metabolites. All annotated metabolites were subsequently mapped onto curated pathways from YeastCyc and WikiPathways for interactive pathway analysis and visualization. Dozens of pathways showed differential responses to stress conditions based on one or more matches to the list of annotated metabolites or to metabolites that had been identified further by MS/MS. The purine salvage, pantothenate and sulfur amino acid pathways were flagged as being enriched, which is consistent with previously published literature for transcriptomics analysis. Thus, broad discovery-based data mining combined with targeted pathway projections can be an important asset for rapidly distilling, testing and evaluating a large amount of information for further investigation.

A cell-based method for screening RNA-protein interactions: identification of constitutive transport element-interacting proteins.

We have developed a mammalian cell-based screening platform to identify proteins that assemble into RNA-protein complexes. Based on Tat-mediated activation of the HIV LTR, proteins that interact with an RNA target elicit expression of a GFP reporter and are captured by fluorescence activated cell sorting. This “Tat-hybrid” screening platform was used to identify proteins that interact with the Mason Pfizer monkey virus (MPMV) constitutive transport element (CTE), a structured RNA hairpin that mediates the transport of unspliced viral mRNAs from the nucleus to the cytoplasm. Several hnRNP-like proteins, including hnRNP A1, were identified and shown to interact with the CTE with selectivity in the reporter system comparable to Tap, a known CTE-binding protein. In vitro gel shift and pull-down assays showed that hnRNP A1 is able to form a complex with the CTE and Tap and that the RGG domain of hnRNP A1 mediates binding to Tap. These results suggest that hnRNP-like proteins may be part of larger export-competent RNA-protein complexes and that the RGG domains of these proteins play an important role in directing these binding events. The results also demonstrate the utility of the screening platform for identifying and characterizing new components of RNA-protein complexes.

A unified approach to molecular epidemiology investigations: tools and patterns in California as a case study for endemic shigellosis

BackgroundShigellosis causes diarrheal disease in humans from both developed and developing countries, and multi-drug resistance is an emerging problem. The objective of this study is to present a unified approach that can be used to characterize endemic and outbreak patterns of shigellosis using use a suite of epidemiologic and molecular techniques. The approach is applied to a California case study example of endemic shigellosis at the population level.MethodsEpidemiologic patterns were evaluated with respect to demographics, multi-drug resistance, antimicrobial resistance genes, plasmid profiles, and pulsed-field gel electrophoresis (PFGE) fingerprints for the 43 Shigella isolates obtained by the Monterey region health departments over the two year period from 2004-2005.ResultsThe traditional epidemiologic as well as molecular epidemiologic findings were consistent with endemic as compared to outbreak shigellosis in this population. A steady low level of cases was observed throughout the study period and high diversity was observed among strains. In contrast to most studies in developed countries, the predominant species was Shigella flexneri (51%) followed closely by S. sonnei (49%). Over 95% of Shigella isolates were fully resistant to three or more antimicrobial drug subclasses, and 38% of isolates were resistant to five or more subclasses. More than half of Shigella strains tested carried the tetB, catA, or blaTEM genes for antimicrobial resistance to tetracycline, chloramphenicol, and ampicillin, respectively.ConclusionThis study shows how epidemiologic patterns at the host and bacterial population levels can be used to investigate endemic as compared to outbreak patterns of shigellosis in a community. Information gathered as part of such investigations will be instrumental in identifying emerging antimicrobial resistance, for developing treatment guidelines appropriate for that community, and to provide baseline data with which to compare outbreak strains in the future.

Classroom sound can be used to classify teaching practices in college science courses

Significance Although the United States needs to expand its STEM (science, technology, engineering, mathematics) workforce, United States postsecondary institutions struggle to retain and effectively teach students in STEM disciplines. Using teaching techniques beyond lecture, such as pair discussions and reflective writing, has been shown to boost student learning, but it is unknown what proportion of STEM faculty use these active-learning pedagogies. Here we describe DART: Decibel Analysis for Research in Teaching, a machine-learning–derived algorithm that analyzes classroom sound to predict with high accuracy the learning activities used in classrooms, and its application to thousands of class session recordings. DART can be used for large-scale examinations of STEM teaching practices, evaluating the extent to which educators maximize opportunities for effective STEM learning. Active-learning pedagogies have been repeatedly demonstrated to produce superior learning gains with large effect sizes compared with lecture-based pedagogies. Shifting large numbers of college science, technology, engineering, and mathematics (STEM) faculty to include any active learning in their teaching may retain and more effectively educate far more students than having a few faculty completely transform their teaching, but the extent to which STEM faculty are changing their teaching methods is unclear. Here, we describe the development and application of the machine-learning–derived algorithm Decibel Analysis for Research in Teaching (DART), which can analyze thousands of hours of STEM course audio recordings quickly, with minimal costs, and without need for human observers. DART analyzes the volume and variance of classroom recordings to predict the quantity of time spent on single voice (e.g., lecture), multiple voice (e.g., pair discussion), and no voice (e.g., clicker question thinking) activities. Applying DART to 1,486 recordings of class sessions from 67 courses, a total of 1,720 h of audio, revealed varied patterns of lecture (single voice) and nonlecture activity (multiple and no voice) use. We also found that there was significantly more use of multiple and no voice strategies in courses for STEM majors compared with courses for non-STEM majors, indicating that DART can be used to compare teaching strategies in different types of courses. Therefore, DART has the potential to systematically inventory the presence of active learning with ∼90% accuracy across thousands of courses in diverse settings with minimal effort.

Wastewater polishing by a channelized macrophyte-dominated wetland and anaerobic digestion of the harvested phytomass.

Constructed wetlands (CW) offer a mechanism to meet increasingly stringent regulatory standards for wastewater treatment while minimizing energy inputs. Additionally, harvested wetland phytomass subjected to anaerobic digestion can serve as a source of biogas methane. To investigate CW wastewater polishing activities and potential energy yield we constructed a pair of secondary wastewater-fed channelized CW modules designed to retain easily harvestable floating aquatic vegetation and maximize exposure of water to roots and sediment. Modules that were regularly harvested averaged a nitrate removal rate of 1.1 g N m−2 d−1; harvesting, sedimentation and gasification were responsible for 30.5%, 8.0% and 61.5% of the N losses, respectively. Selective harvesting of a module to maintain dominance of filamentous algae had no effect on nitrate removal rate but lowered productivity by one-half. The average monthly productivity for unselectively harvested modules was 9.3 ± 1.7 g dry wt. m−2 d−1 (±SE). Cessation of harvesting in one module resulted in a significant increase in nitrate removal rate and decrease in phosphate removal rate. Compared to the influent, the effluent of the harvested module had significantly lower levels of estrogenic activity, as determined by a quantitative PCR-based juvenile trout bioassay, and significantly lower densities of E. coli. In mixed vertical-flow reactors anaerobic co-digestion of equal dry weight proportions of harvested aquatic vegetation, wine yeast lees and dairy manure was greatly improved when the manure was replaced with the crude glycerol by-product of biodiesel production. Remaining solids were vermicomposted for use as a soil amendment. Our results indicate that incorporation of constructed wetlands into an integrated treatment system can simultaneously enhance the economic and energetic feasibility of wastewater and organic waste treatment processes.

Collectively Improving Our Teaching: Attempting Biology Department–wide Professional Development in Scientific Teaching

A collaborative professional development program that engaged nearly 90% of faculty in a biology department in more than 40 hours of training on scientific teaching was instituted. Participating instructors integrated active learning in their courses, as shown through a variety of methods, and reported positive effects on teaching and departmental community.