Wekiva Basin onsite sewage treatment and disposal system study

Existing onsite systems and aquifer vulnerability in the Wekiva Basin. Recommendations from the Bureau of Onsite Sewage Programs, Division of Environmental Health, Florida Department of Health. (11 slides

Development and implementation of natural killer cell simultaneous ADCC and direct killing assay

Assays to quantify natural killer (NK) cell killing efficacy have traditionally focused on assessing either direct killing or antibody dependent cell-mediated cytotoxicity (ADCC) independently. Due to the probability that immunotherapeutic interventions affect NK cell-mediated direct killing and NK cell-mediated ADCC differently, we developed an assay with the capacity to measure NK cell-mediated direct killing and ADCC simultaneously with cells from the same human donor. Specifically, this design allows for a single NK cell population to be split into several experimental conditions (e.g., direct killing, ADCC), thus controlling for potential confounders associated with human-to-human variation when assessing immunotherapy impacts. Our Natural Killer cell Simultaneous ADCC and Direct Killing Assay (NK-SADKA) allows researchers to reproducibly quantify both direct killing and ADCC by human NK cells. Furthermore, this optimized experimental design allows for concurrent analysis of the NK cells via flow cytometric immunophenotyping of NK cell populations which will facilitate the identification of relationships between NK cell phenotype and the subsequent killing potential. This assay will be valuable for assessing the broader impact(s) of immunotherapy strategies on both modes of NK cell killing

Standard values and relationship-specific validity of the Bielefeld Relationship Expectations Questionnaire (BFPE)

<p>Abstract</p> <p>Background</p> <p>The Bielefeld Partnership Expectations Questionnaire (BFPE) is a tool to assess attachment in the romantic relationships of adults. The attachment styles are operationalized as configuration patterns of scale scores. While convergent validity has already been investigated, discriminant validity is still lacking confirmation.</p> <p>Methods</p> <p>The present sample (n = 1509) is representative for the German population aged 18 to 50. The mean age was 34.6 years. Most of the participants lived in a relationship (77.3 %). Discriminant validity was analyzed using a marital quality questionnaire (PFB), a social support questionnaire (F-Soz-U K-14), and a life satisfaction questionnaire (FLZ).</p> <p>Results</p> <p>All the BFPE scales have a satisfying internal consistency between r = .79 and .86. Those individuals who showed a secure pattern, i.e. increased "Readiness for Self-Disclosure" and "Conscious Need for Care" as well as reduced "Fear of Rejection" experienced their partner as socially supportive, reported higher marital quality in all of its facets, and were more satisfied within the life-domains "family/children" and "relationship/sexuality". Standard values for each scale are presented.</p> <p>Conclusions</p> <p>The BFPE has repeatedly been verified as a short, reliable, and valid instrument applicable to research practice with healthy individuals as well as within clinical contexts.</p

Open X-Embodiment:Robotic learning datasets and RT-X models

Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, this has led to a consolidation of pretrained models, with general pretrained backbones serving as a starting point for many applications. Can such a consolidation happen in robotics? Conventionally, robotic learning methods train a separate model for every application, every robot, and even every environment. Can we instead train "generalist" X-robot policy that can be adapted efficiently to new robots, tasks, and environments? In this paper, we provide datasets in standardized data formats and models to make it possible to explore this possibility in the context of robotic manipulation, alongside experimental results that provide an example of effective X-robot policies. We assemble a dataset from 22 different robots collected through a collaboration between 21 institutions, demonstrating 527 skills (160266 tasks). We show that a high-capacity model trained on this data, which we call RT-X, exhibits positive transfer and improves the capabilities of multiple robots by leveraging experience from other platforms. The project website is robotics-transformer-x.github.io

Amplification of the HIV Envelope Expressing Plasma Q842.D16 for the Purpose of Evaluating Human Natural Killer Cell-mediated Killing of HIV Positive Cells

Amplification of the HIV Envelope Expressing Plasma Q842.D16 for the Purpose of Evaluating Human Natural Killer Cell-mediated Killing of HIV Positive Cells Jaden Nienhueser1, Nathan Booher1, Paul W. Denton PhD1 1Department of Biology, University of Nebraska at Omaha Background: Human Immunodeficiency virus (HIV) affects nearly 40 million individuals worldwide. While antiretroviral therapy is effective against the virus, this therapy is a lifelong commitment. Thus, there is a strong global effort to develop interventions that are able to, at minimum, functionally cure this infection. Functional cure is when the body’s immune system is trained to control the HIV infection in the absence of ongoing antiretroviral therapy. Thus, multiple strategies are being investigated (e.g., immunotherapies in NCT03837756) to boost anti-HIV immunity. Our question is how such interventions may impact natural killer (NK) cell functions – as NK cells may be a critical component in controlling HIV in the absence of antiretroviral therapy. This project focuses on developing an ex vivo strategy for measuring the impact of relevant immunotherapies on human NK cell killing capacities with a particular focus on NK cell-mediated antibody dependent cellular cytotoxicity (ADCC). Methods: To accomplish our goals, we need a way to express HIV envelope on the surface of target cells. For this, we needed to logarithmically amplify the small plasmid stock provided by the NIH HIV Reagent Program. To do this, the HIV envelope gene containing (and ampicillin resistance cassette containing) plasmid Q842.D16 was transformed into competent Stbl2 Escherichia coli. Next, we grew transformed bacteria on LB agar plates supplemented with ampicillin. Following incubations, a colony of transformed bacteria was isolated from each plate. The colonies were amplified in LB broth supplemented with ampicillin. The most rapidly growing culture, based upon absorbance at 600 nm (Nanodrop 2000), was carried to the subsequent step of plasmid collection using a midi-prep kit (Zymo # D4200). Restriction enzyme fragmentation and subsequent gel electrophoresis was conducted to confirm the identity of the plasmid. Results: Our data confirmed that we amplified and purified the Q842.D16 plasmid. Our plasmid yield was ~660 ng/µL in ~3 mL, a quantity sufficient for long term use in the laboratory. Discussion: The overarching purpose of the processes completed for this abstract was to acquire an abundance of the Q842.D16 plasmid for transfecting potential target cells in our laboratory’s natural killer cell functional assay. We accomplished this goal. The next direction of the research is the focus of the partner poster being presented by Nathan Booher

Expression of HIV Envelope on HEK293T Cells for Subsequent Antibody Dependent Cellular Cytotoxicity Testing

Expression of HIV Envelope on HEK293T Cells for Subsequent Antibody Dependent Cellular Cytotoxicity Testing Nathan Booher1, Jaden Nienhueser1, Paul W. Denton PhD1 1Department of Biology, University of Nebraska at Omaha Introduction Human Immunodeficiency virus (HIV) affects nearly 40 million individuals worldwide. While antiretroviral therapy is effective against the virus, this therapy is a lifelong commitment. Thus, there is a strong global effort to develop interventions that are able to, at minimum, functionally cure this infection. Functional cure is when the body’s immune system is trained to control the HIV infection in the absence of ongoing antiretroviral therapy. Thus, multiple strategies are being investigated (e.g., immunotherapies in NCT03837756) to boost anti-HIV immunity. Our question is how such interventions may impact natural killer (NK) cell functions – as NK cells may be a critical component in controlling HIV in the absence of antiretroviral therapy. This project focuses on developing an ex vivo strategy for measuring the impact of relevant immunotherapies on human NK cell killing capacities with a particular focus on NK cell-mediated antibody dependent cellular cytotoxicity (ADCC). Methods To accomplish our goals, we need target cells for NK cells to kill. The target cells need to express HIV envelope that can be bound by an ADCC-inducing antibody (e.g., 3BNC117). We are utilizing the plasmid Q842.D16 to transfect HEK293T cells causing the cells to express HIV-1 envelope (gp160). We are using a non-ADCC antibody that does not compete with the ADCC antibody for a binding site (e.g., PG9) to identify HIV-Env positive target cells to measure their death in a killing assay. To make PG9 useful in this context, we labeled the antibody with a fluorophore that can be detected in the flow cytometer used to measure cell killing in our assay. The HIV Reagent Program graciously provided Q842.D16, PG9, and 3BNC117. Results Using a Nanodrop 2000, unlabeled PG9 was determined to have a protein concentration of 3.1E-4 mM and a degree of labeling (DOL) of 8.36 units. The DOL of PG9 was in the acceptable range (4-9 units). Initial target cell labeling experiments were encouraging. However, subsequent data suggest that PG9 is non-specifically binding to on the surface of 293T cells. Next steps are to find an appropriate blocking strategy for this step in the procedure such that we have reproducible target cell recognition in the killing assay. Discussion Despite the discouraging setback in target cells recognition, we are optimistic that this technical challenge will be overcome. For example, we are investigating an alternative strategy of identifying HIV-Env positive cells by having the envelope expression vector also express green fluorescent protein to bypass the need for a second antibody altogether. Details about this concept will also be presented in the poster. The work in this poster builds on the initial steps of the process described in the partner poster presented by Jaden Nienhueser

Comparative Metabolomic and Lipidomic Analysis of Phenotype Stratified Prostate Cells.

Prostate cancer (PCa) is the most prevalent cancer amongst men and the second most common cause of cancer related-deaths in the USA. Prostate cancer is a heterogeneous disease ranging from indolent asymptomatic cases to very aggressive life threatening forms. The goal of this study was to identify differentially expressed metabolites and lipids in prostate cells with different tumorigenic phenotypes. We have used mass spectrometry metabolomic profiling, lipidomic profiling, bioinformatic and statistical methods to identify, quantify and characterize differentially regulated molecules in five prostate derived cell lines. We have identified potentially interesting species of different lipid subclasses including phosphatidylcholines (PCs), phosphatidylethanolamines (PEs), glycerophosphoinositols (PIs) and other metabolites that are significantly upregulated in prostate cancer cells derived from distant metastatic sites. Transcriptomic and biochemical analysis of key enzymes that are involved in lipid metabolism demonstrate the significant upregulation of choline kinase alpha in the metastatic cells compared to the non-malignant and non-metastatic cells. This suggests that different de novo lipogenesis and other specific signal transduction pathways are activated in aggressive metastatic cells as compared to normal and non-metastatic cells

Isogenic mice exhibit sexually-dimorphic DNA methylation patterns across multiple tissues

Abstract Background Cytosine methylation is a stable epigenetic modification of DNA that plays an important role in both normal physiology and disease. Most diseases exhibit some degree of sexual dimorphism, but the extent to which epigenetic states are influenced by sex is understudied and poorly understood. To address this deficit we studied DNA methylation patterns across multiple reduced representation bisulphite sequencing datasets (from liver, heart, brain, muscle and spleen) derived from isogenic male and female mice. Results DNA methylation patterns varied significantly from tissue to tissue, as expected, but they also varied between the sexes, with thousands of sexually dimorphic loci identified. The loci affected were largely autonomous to each tissue, even within tissues derived from the same germ layer. At most loci, differences between genders were driven by females exhibiting hypermethylation relative to males; a proportion of these differences were independent of the presence of testosterone in males. Loci harbouring gender differences were clustered in ontologies related to tissue function. Conclusions Our findings suggest that gender is underwritten in the epigenome in a tissue-specific and potentially sex hormone-independent manner. Gender-specific epigenetic states are likely to have important implications for understanding sexually dimorphic phenotypes in health and disease