(Re)Conceptualizing Death: Examining Attitudes toward Death at the Anthropological Research Facility

The Anthropological Research Facility (ARF), commonly known as the “Body Farm,” provides a unique research setting in which researchers work intimately with human remains in various stages of decomposition. While the ARF, and forensic anthropology, is well documented in popular culture, little academic research has been conducted to investigate the sociocultural phenomena associated with working with human remains. This thesis investigates the reactions and attitudes toward death of those involved in operational and administrative duties at the ARF focusing on how these attitudes influence and are influenced by involvement at the facility. This research also provides a point of departure from which to interpret the relationship between the science of death and cultural attitudes toward death, the feminization of forensic anthropology, and public interest in the discipline. Ethnographic methods including participant observation and interviews were the primary procedures of data collection in this study. Participant observation was conducted in various activities including intake (collection of body donations from regional funeral homes and forensic centers), placement of body donations at the ARF, and recovery (retrieval of body donations from the ARF after decomposition research is complete). Interviews were used to assess participants’ reactions to the nature of their work and their attitudes toward death. Participants were comprised of individuals involved with various aspects of the ARF including the coordinator, assistant coordinator, former and current faculty and graduate students representing a cross-sectional sample varying by age, length and degree of involvement at the ARF, and profession. This thesis shows that attitudes among ARF personnel simultaneously reflect and deviate from cultural norms regarding handling human remains; the dead body represents both a scientific object and a symbol of mortality. Furthermore, public interest in and the feminization of forensic anthropology are informed by cultural attitudes toward death including fears of and fascination with death and dying. This study underscores the importance of understanding the sociocultural consequences produced from scientific and technological discovery and the importance of reflexive inquiry

Evolution of the metabolic and regulatory networks associated with oxygen availability in two phytopathogenic enterobacteria

<p>Abstract</p> <p>Background</p> <p><it>Dickeya dadantii </it>and <it>Pectobacterium atrosepticum </it>are phytopathogenic enterobacteria capable of facultative anaerobic growth in a wide range of O₂concentrations found in plant and natural environments. The transcriptional response to O₂remains under-explored for these and other phytopathogenic enterobacteria although it has been well characterized for animal-associated genera including <it>Escherichia coli </it>and <it>Salmonella enterica</it>. Knowledge of the extent of conservation of the transcriptional response across orthologous genes in more distantly related species is useful to identify rates and patterns of regulon evolution. Evolutionary events such as loss and acquisition of genes by lateral transfer events along each evolutionary branch results in lineage-specific genes, some of which may have been subsequently incorporated into the O₂-responsive stimulon. Here we present a comparison of transcriptional profiles measured using densely tiled oligonucleotide arrays for two phytopathogens, <it>Dickeya dadantii </it>3937 and <it>Pectobacterium atrosepticum </it>SCRI1043, grown to mid-log phase in MOPS minimal medium (0.1% glucose) with and without O₂.</p> <p>Results</p> <p>More than 7% of the genes of each phytopathogen are differentially expressed with greater than 3-fold changes under anaerobic conditions. In addition to anaerobic metabolism genes, the O₂responsive stimulon includes a variety of virulence and pathogenicity-genes. Few of these genes overlap with orthologous genes in the anaerobic stimulon of <it>E. coli</it>. We define these as the conserved core, in which the transcriptional pattern as well as genetic architecture are well preserved. This conserved core includes previously described anaerobic metabolic pathways such as fermentation. Other components of the anaerobic stimulon show variation in genetic content, genome architecture and regulation. Notably formate metabolism, nitrate/nitrite metabolism, and fermentative butanediol production, differ between <it>E. coli </it>and the phytopathogens. Surprisingly, the overlap of the anaerobic stimulon between the phytopathogens is also relatively small considering that they are closely related, occupy similar niches and employ similar strategies to cause disease. There are cases of interesting divergences in the pattern of transcription of genes between <it>Dickeya </it>and <it>Pectobacterium </it>for virulence-associated subsystems including the type VI secretion system (T6SS), suggesting that fine-tuning of the stimulon impacts interaction with plants or competing microbes.</p> <p>Conclusions</p> <p>The small number of genes (an even smaller number if we consider operons) comprising the conserved core transcriptional response to O₂limitation demonstrates the extent of regulatory divergence prevalent in the Enterobacteriaceae. Our orthology-driven comparative transcriptomics approach indicates that the adaptive response in the eneterobacteria is a result of interaction of core (regulators) and lineage-specific (structural and regulatory) genes. Our subsystems based approach reveals that similar phenotypic outcomes are sometimes achieved by each organism using different genes and regulatory strategies.</p

Studies on Dibenzylamines as Inhibitors of Venezuelan Equine Encephalitis Virus

Alphaviruses are arthropod-transmitted members of the Togaviridae family that can cause severe disease in humans, including debilitating arthralgia and severe neurological complications. Currently, there are no approved vaccines or antiviral therapies directed against the alphaviruses, and care is limited to treating disease symptoms. A phenotypic cell-based high-throughput screen was performed to identify small molecules that inhibit the replication of Venezuelan Equine Encephalitis Virus (VEEV). The compound, 1-(2,3-dihydrobenzo[b][1,4]dioxin-6-yl)-N-(3-fluoro-4-methoxybenzyl)ethan-1-amine (1), was identified as a highly active, potent inhibitor of VEEV with an effective concentration for 90% inhibition of virus (EC90) of 0.89 μM and 7.49 log reduction in virus titers at 10 μM concentration. These data suggest that further investigation of compound 1 as an antiviral therapeutic against VEEV, and perhaps other alphaviruses, is warranted. Experiments suggested that the antiviral activity of compound 1 is directed at an early step in the VEEV replication cycle by blocking viral RNA and protein synthesis

An open toolkit for tracking open science partnership implementation and impact.

Serious concerns about the way research is organized collectively are increasingly being raised. They include the escalating costs of research and lower research productivity, low public trust in researchers to report the truth, lack of diversity, poor community engagement, ethical concerns over research practices, and irreproducibility. Open science (OS) collaborations comprise of a set of practices including open access publication, open data sharing and the absence of restrictive intellectual property rights with which institutions, firms, governments and communities are experimenting in order to overcome these concerns. We gathered two groups of international representatives from a large variety of stakeholders to construct a toolkit to guide and facilitate data collection about OS and non-OS collaborations. Ultimately, the toolkit will be used to assess and study the impact of OS collaborations on research and innovation. The toolkit contains the following four elements: 1) an annual report form of quantitative data to be completed by OS partnership administrators; 2) a series of semi-structured interview guides of stakeholders; 3) a survey form of participants in OS collaborations; and 4) a set of other quantitative measures best collected by other organizations, such as research foundations and governmental or intergovernmental agencies. We opened our toolkit to community comment and input. We present the resulting toolkit for use by government and philanthropic grantors, institutions, researchers and community organizations with the aim of measuring the implementation and impact of OS partnership across these organizations. We invite these and other stakeholders to not only measure, but to share the resulting data so that social scientists and policy makers can analyse the data across projects

Inferring causal molecular networks: empirical assessment through a community-based effort.

It remains unclear whether causal, rather than merely correlational, relationships in molecular networks can be inferred in complex biological settings. Here we describe the HPN-DREAM network inference challenge, which focused on learning causal influences in signaling networks. We used phosphoprotein data from cancer cell lines as well as in silico data from a nonlinear dynamical model. Using the phosphoprotein data, we scored more than 2,000 networks submitted by challenge participants. The networks spanned 32 biological contexts and were scored in terms of causal validity with respect to unseen interventional data. A number of approaches were effective, and incorporating known biology was generally advantageous. Additional sub-challenges considered time-course prediction and visualization. Our results suggest that learning causal relationships may be feasible in complex settings such as disease states. Furthermore, our scoring approach provides a practical way to empirically assess inferred molecular networks in a causal sense

Inferring causal molecular networks: empirical assessment through a community-based effort

Inferring molecular networks is a central challenge in computational biology. However, it has remained unclear whether causal, rather than merely correlational, relationships can be effectively inferred in complex biological settings. Here we describe the HPN-DREAM network inference challenge that focused on learning causal influences in signaling networks. We used phosphoprotein data from cancer cell lines as well as in silico data from a nonlinear dynamical model. Using the phosphoprotein data, we scored more than 2,000 networks submitted by challenge participants. The networks spanned 32 biological contexts and were scored in terms of causal validity with respect to unseen interventional data. A number of approaches were effective and incorporating known biology was generally advantageous. Additional sub-challenges considered time-course prediction and visualization. Our results constitute the most comprehensive assessment of causal network inference in a mammalian setting carried out to date and suggest that learning causal relationships may be feasible in complex settings such as disease states. Furthermore, our scoring approach provides a practical way to empirically assess the causal validity of inferred molecular networks

Inferring causal molecular networks: empirical assessment through a community-based effort

It remains unclear whether causal, rather than merely correlational, relationships in molecular networks can be inferred in complex biological settings. Here we describe the HPN-DREAM network inference challenge, which focused on learning causal influences in signaling networks. We used phosphoprotein data from cancer cell lines as well as in silico data from a nonlinear dynamical model. Using the phosphoprotein data, we scored more than 2,000 networks submitted by challenge participants. The networks spanned 32 biological contexts and were scored in terms of causal validity with respect to unseen interventional data. A number of approaches were effective, and incorporating known biology was generally advantageous. Additional sub-challenges considered time-course prediction and visualization. Our results suggest that learning causal relationships may be feasible in complex settings such as disease states. Furthermore, our scoring approach provides a practical way to empirically assess inferred molecular networks in a causal sense

Comprehensive Molecular Characterization of Pheochromocytoma and Paraganglioma

SummaryWe report a comprehensive molecular characterization of pheochromocytomas and paragangliomas (PCCs/PGLs), a rare tumor type. Multi-platform integration revealed that PCCs/PGLs are driven by diverse alterations affecting multiple genes and pathways. Pathogenic germline mutations occurred in eight PCC/PGL susceptibility genes. We identified CSDE1 as a somatically mutated driver gene, complementing four known drivers (HRAS, RET, EPAS1, and NF1). We also discovered fusion genes in PCCs/PGLs, involving MAML3, BRAF, NGFR, and NF1. Integrated analysis classified PCCs/PGLs into four molecularly defined groups: a kinase signaling subtype, a pseudohypoxia subtype, a Wnt-altered subtype, driven by MAML3 and CSDE1, and a cortical admixture subtype. Correlates of metastatic PCCs/PGLs included the MAML3 fusion gene. This integrated molecular characterization provides a comprehensive foundation for developing PCC/PGL precision medicine

Tdap immunization in pregnancy: provider compliance with CDC guidelines

Background: Pertussis, also known as whooping cough, is a highly contagious, acute respiratory illness. In children and infants, morbidity is more often substantial and the disease may be fatal. There has been a steady increase in reported cases in the United States (27,550 in 2010 vs. 41,000 in 2012). Mothers were responsible for 30-40% of infant infections when the source of pertussis was identified. In October 2012, the Centers for Disease Control and Prevention (CDC) and Advisory Committee for Immunization (ACIP) recommended that caregivers provide a Tdap immunization for all pregnant women for each pregnancy, irrespective of the patient’s prior history of receiving Tdap. Purpose: Evaluate provider compliance with Tdap immunization guidelines at four different time periods: prior to change in CDC guidelines, immediately after change, 5 months after change/educational intervention, and 1 year after change. Methods: Records review of 400 random charts, 100 in each of the above categories from 2012 to 2013. Excluded were patients without an appointment during the 27-36 gestational weeks. Educational lecture and survey was provided to all staff of the Women’s Health Center regarding Tdap immunization changes. Compliance rate was calculated for each time period. Two-sample t-test was used to compare compliance rates, and chi-square test with Yates correction for 2 × 2 tables. Results: Compliance rate was 62% prior to change, 39% immediately after change, 50% at 5 months after change/ intervention, and 72% at 1 year after change. Odds ratios for the three time periods were: 1.00, 1.62 and 4.14, respectively (P=0.00000). The vaccine was received appropriately in the immediate postpartum period in 32% prior to change, 43% immediately after change, 44% at 5 months after change/intervention, and 13% at 1 year after change. Resident physicians answered 63% correct and faculty physicians answered 67% correct regarding frequency and timing of Tdap vaccination survey questions; however, the residents were more compliant (60% vs. 52%) in actual clinical practice. Conclusion: Educational intervention and time had a statistically significant impact in improving compliance rate. Appropriate vaccination during the postpartum period and adequate documentation are areas of improvement