bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diversity Predicts Ability of Bacterial Consortia to Mitigate a Lethal Wildlife Pathogen
Authors: Antwis Rachael E. , Harrison Xavier A. 
Published: April 2017

ABSTRACTSymbiotic bacterial communities can protect their hosts from infection by pathogens. Treatment of wild individuals with protective bacteria isolated from hosts can combat the spread of emerging infectious diseases, but it is unclear whether the degree of bacterially-mediated host protection is uniform across multiple isolates of globally-distributed pathogens. Here we use the lethal amphibian fungal pathogenBatrachochytrium dendrobatidisas a model to investigate the traits predicting broad-scalein vitroinhibitory capabilities of both individual bacteria and multiple-bacterial consortia. We show that inhibition of multiple pathogen isolates is rare, with no clear phylogenetic signal at the genus level. Bacterial consortia offer stronger protection againstB. dendrobatidiscompared to single isolates, but critically this was only true for consortia containing multiple genera, and this pattern was not uniform across allB. dendrobatidisisolates. These novel insights have important implications for the effective design of bacterial probiotics to mitigate emerging infectious diseases.
Co-localization of Conditional eQTL and GWAS Signatures in Schizophrenia
Authors: Dobbyn Amanda , Huckins Laura M. , Boocock James , Sloofman Laura G. , Glicksberg Benjamin S. , Giambartolomei Claudia , Hoffman Gabriel , Perumal Thanneer , Girdhar Kiran , Jiang Yan , Ruderfer Douglas M. , Kramer Robin S. , Pinto Dalila ,   the CommonMind Consortium, Akbarian Schahram , Roussos Panos , Domenici Enrico , Devlin Bernie , Sklar Pamela , Stahl Eli A. , Sieberts Solveig K. 
Published: April 2017

ABSTRACTCausal genes and variants within genome-wide association study (GWAS) loci can be identified by integrating GWAS statistics with expression quantitative trait loci (eQTL) and determining which SNPs underlie both GWAS and eQTL signals. Most analyses, however, consider only the marginal eQTL signal, rather than dissecting this signal into multiple independent eQTL for each gene. Here we show that analyzing conditional eQTL signatures, which could be important under specific cellular or temporal contexts, leads to improved fine mapping of GWAS associations. Using genotypes and gene expression levels from post-mortem human brain samples (N=467) reported by the CommonMind Consortium (CMC), we find that conditional eQTL are widespread; 63% of genes with primary eQTL also have conditional eQTL. In addition, genomic features associated with conditional eQTL are consistent with context specific (i.e. tissue, cell type, or developmental time point specific) regulation of gene expression. Integrating the Psychiatric Genomics Consortium schizophrenia (SCZ) GWAS and CMC conditional eQTL data reveals forty loci with strong evidence for co-localization (posterior probability >0.8), including six loci with co-localization of conditional eQTL. Our co-localization analyses support previously reported genes and identify novel genes for schizophrenia risk, and provide specific hypotheses for their functional follow-up.
Combinatorial approach for complex disorder prediction: Case study of neurodevelopmental disorders
Authors: Huynh Linh , Hormozdiari Fereydoun 
Published: April 2017

AbstractEarly prediction of complex disorders (e.g., autism and other neurodevelopmental disorders) is one of the fundamental goals of precision medicine and personalized genomics. An early prediction of complex disorders can have a significant impact on increasing the effectiveness of interventions and treatments in improving the prognosis and, in many cases, enhancing the quality of life in the affected patients. Considering the genetic heritability of neurodevelopmental disorders, we are proposing a novel framework for utilizing rare coding variation for early prediction of these disorders in subset of affected samples. We provide a novel formulation for theUltra-AccurateDisorderPrediction (UADP) problem and develop a combinatorial framework for solving this problem. The primary goal of this framework, denoted as Odin (Oracle forDIsorder predictioN), is to make prediction for a subset of affected cases while having very low false positive rate prediction for unaffected samples. Note that in the Odin framework we will take advantage of the available functional information (e.g., pairwise coexpression of genes during brain development) to increase the prediction power beyond genes with recurrent variants. Application of our method accurately recovers an additional 8% of autism cases without a sever variant in a known recurrent mutated genes with a less than 1% false positive rate. Furthermore, Odin predicted a set of 391 genes that severe variants in these genes can cause autism or other developmental delay disorders. Odin is publicly available athttps://github.com/HormozdiariLab/Odin†
Dual phenotype of MDA-MB-468 cancer cells reveals mutual regulation of tensin3 and adhesion plasticity
Authors: Veβ Astrid , Blache Ulrich , Leitner Laura , Kurz Angela R.M. , Ehrenpfordt Anja , Sixt Michael , Posern Guido 
Published: April 2017

AbstractPlasticity between adhesive and less-adhesive states is important for mammalian cell behaviour. To investigate adhesion plasticity, we have selected a stable isogenic subpopulation of MDA-MB-468 breast carcinoma cells which grows in suspension. These suspension cells are unable to re-adhere to various matrices or to contract three-dimensional collagen lattices. By transcriptome analysis, we identified the focal adhesion protein tensin3 (Tns3) as a determinant of adhesion plasticity. Tns3 is strongly reduced on mRNA and protein level in suspension cells. Furthermore, challenging breast cancer cells transiently with non-adherent conditions markedly reduces Tns3 expression, which is regained upon re-adhesion. Stable knockdown of Tns3 in parental cells results in defective adhesion, spreading and migration. Tns3 knockdown cells display impaired structure and dynamics of focal adhesion complexes as determined by immunostaining. Restoration of Tns3 expression in suspension cells partially rescues adhesion and focal contact composition. Our work identifies Tns3 as a critical focal adhesion component regulated by, and functionally contributing to, the switch between adhesive and non-adhesive states in MDA-MB-468 cancer cells.Summary statementWe identify the cell-matrix adapter protein tensin3 as a determinant of adhesion plasticity, using cancer cells selected for non-adherent growth. Tensin3 expression constitutes a feedback loop controlling adhesion and motility.
Duplications at 19q13.33 in patients with neurodevelopmental disorders
Authors: Pérez-Palma Eduardo , Saarentaus Elmo , Andrieux Joris , Ravoet Marie , De Ferrari Giancarlo V. , Nuernberg Peter , Isidor Bertrand , Neubauer Bernd A. , Lal Dennis 
Published: April 2017

AbstractOBJECTIVEAfter recent publication of the first patients with disease associated missense variants inGRIN2D, we evaluate the effect of copy number variation (CNV) overlapping this gene towards the presentation of neurodevelopmental disorders.METHODSWe explored ClinVar (N°CNV = 41,398) and DECIPHER (N°CNV = 30,222) clinical databases of genomic variations for patients with copy number changes overlapping theGRIN2Dgene at the 19q13.33 locus and evaluated their respective phenotype alongside their frequency, gene content and expression with publicly available reference databases.RESULTSWe identified 13 patients with microduplications at the 19q13.33 locus. The majority of CNVs arosede novoand comparable CNVs are not present in control databases. All patients were reported to have neurodevelopmental disorders and dysmorphic features as the most common clinical phenotype (N= 10/13), followed by seizures (N= 6/13) and intellectual disability (N= 5/13). All duplications shared a consensus region of 405 kb overlapping 13 genes. After screening for duplication tolerance in control populations, positive gene brain expression and gene dosage sensitivity analysis, we highlight four genes for future evaluation:CARD8,C19orf68,KDELR1andGRIN2D,which are promising candidates for disease causality. Further, investigation of the literature especially supportsGRIN2Das the best candidate gene.CONCLUSIONSOur study presents dup19q13.33 as novel duplication syndrome locus associated with neurodevelopmental disorders.CARD8,C19orf68,KDELR1andGRIN2Dare promising candidates for functional follow up.
Ecological plant epigenetics: Evidence from model and non-model species, and the way forward
Authors: Richards Christina L. , Alonso Conchita , Becker Claude , Bossdorf Oliver , Bucher Etienne , Colomé-Tatché Maria , Durka Walter , Engelhardt Jan , Gaspar Bence , Gogol-Döring Andreas , Grosse Ivo , van Gurp Thomas P. , Heer Katrin , Kronholm Ilkka , Lampei Christian , Latzel Vít , Mirouze Marie , Opgenoorth Lars , Paun Ovidiu , Prohaska Sonja , Rensing Stefan A. , Stadler Peter , Trucchi Emiliano , Ullrich Kristian , Verhoeven Koen J. F. 
Published: April 2017

AbstractGrowing evidence makes a strong case that epigenetic mechanisms contribute to complex traits, with implications across many fields of biology from dissecting developmental processes to understanding aspects of human health and disease. In ecology, recent studies have merged ecological experimental design with epigenetic analyses to elucidate the contribution of epigenetics to plant phenotypes, stress response, adaptation to habitat, or species range distributions. While there has been some progress in revealing the role of epigenetics in ecological processes, many studies with non-model species have so far been limited to describing broad patterns based on anonymous markers of DNA methylation. In contrast, studies with model species have benefited from powerful genomic resources, which allow for a more mechanistic understanding but have limited ecological realism. To understand the true significance of epigenetics for plant ecology and evolution, we must combine both approaches transferring knowledge and methods from model-species research to genomes of evolutionarily divergent species, and examining responses to complex natural environments at a more mechanistic level. This requires transforming genomics tools specifically for studying non-model species, which is challenging given the large and often polyploid genomes of plants. Collaboration between molecular epigeneticists, ecologists and bioinformaticians promises to enhance our understanding of the mutual links between genome function and ecological processes.
Model-based fMRI Reveals Dissimilarity Processes Underlying Base Rate Neglect
Authors: O’Bryan Sean R. , Worthy Darrell A. , Livesey Evan J. , Davis Tyler 
Published: April 2017

AbstractExtensive evidence suggests that people use base rate information inconsistently in decision making. A classic example is the inverse base rate effect (IBRE), whereby participants classify ambiguous stimuli sharing features of both common and rare categories as members of the rare category. Computational models of the IBRE have either posited that it arises from associative similarity-based mechanisms or dissimilarity-based processes that may depend upon higher-level inference. Here we develop a hybrid model, which posits that similarity- and dissimilarity-based evidence both contribute to the IBRE, and test it using functional magnetic resonance imaging data collected from human subjects completing an IBRE task. Consistent with our model, multivoxel pattern analysis reveals that activation patterns on ambiguous test trials contain information consistent with dissimilarity-based processing. Further, trial-by-trial activation in left rostrolateral prefrontal cortex tracks model-based predictions for dissimilarity-based processing, consistent with theories positing a role for higher-level symbolic processing in the IBRE.
mTORC1-mediated inhibition of 4EBP1 is essential for Hedgehog (HH) signaling and can be targeted to suppress HH-driven medulloblastoma
Authors: Wu Chang-Chih , Hou Shirui , Orr Brent A. , Youn Yong Ha , Roth Fanny , Eberhart Charles G. , Han Young-Goo 
Published: April 2017

SUMMARYMechanistic target of rapamycin (MTOR) cooperates with Hedgehog (HH) signaling, but the underlying mechanisms are incompletely understood. Here, we provide genetic, biochemical, and pharmacologic evidence that MTOR complex 1 (mTORC1)-dependent translation is a prerequisite for HH signaling. The genetic loss of mTORC1 function inhibited HH signaling– driven growth of the cerebellum and medulloblastoma. Inhibiting translation or mTORC1 blocked HH signaling. Depleting 4EBP1, an mTORC1 target that inhibits translation, alleviated the dependence of HH signaling on mTORC1. Consistent with this, phosphorylated 4EBP1 levels were elevated in HH signaling–driven medulloblastomas in mice and humans. In mice, an mTORC1 inhibitor suppressed medulloblastoma driven by a mutant SMO that is resistant to an SMO inhibitor in the clinic, prolonging the survival of the mice. Our study reveals mTORC1-mediated translation to be a key component of HH signaling and an important target for treating medulloblastoma and other cancers driven by HH signaling.
Intelligent materials: a review of applications in 4D printing
Authors: Li Xin , Shang Jianzhong , Wang Zhuo 
Published: April 2017

PurposeThe paper aims to promote the development of intelligent materials and the 4D printing technology by introducing recent advances and applications of additive layered manufacturing (ALM) technology of intelligent materials and the development of the 4D printing technology. Also, an arm-type ALM technology of shape memory polymer (SMP) with thermosetting polyurethane is briefly introduced.Design/methodology/approachThis paper begins with an overview of the development and applications of intelligent materials around the world and the 4D printing technology. Then, the authors provide a brief outline of their research on arm-type ALM technology of SMP with thermosetting polyurethane.FindingsThe paper provides the recent developments and applications of intelligent materials and 4D printing technology. Then, it is suggested that intelligent materials mixed with different functional materials will be developed, and these types of materials will be more suitable for 4D printing.Originality/valueThis paper overviews the current developments and applications of intelligent materials and its use in 4D printing technology, and briefly states the authors’ research on arm-type ALM technology of SMP with thermosetting polyurethane.
Signs of dystopia and demoralization in global academia
Authors: Geppert Mike , Hollinshead Graham 
Published: April 2017

Purpose
This paper has been written in the style of a provocative essay. This paper aims to show how neo-liberalism has become the leading “policy doctrine” in higher education (HE) systems across the globe. This has put increasing systemic political and economic pressure on many universities which not only undermine but also “colonize” the Lebenswelt or “lifeworld” (Habermas, 1987) of academics.

Design/methodology/approach
This study draws on concrete empirical examples based on the authors’ subjective experiences within the higher educational sector and secondary sources.

Findings
The authors highlight and illustrate how the increasing dominance of “neo-liberal science” principles (Lave et al., 2010) severely damage the quality of knowledge production and working conditions of ordinary academics in both national and international academic communities.

Practical implications
This paper provides insights into the practical implications of the spread of “neo-liberal science” principles on the work and employment of academics.

Originality/value
The authors aim to trigger critical discussion concerning how emancipatory principles of teaching and research can be brought back into the Lebenswelt of academics to reverse some of the destructive effects to which this paper refers to.
Incidence of workplace bullying among hospitality employees
Authors: Ariza-Montes Antonio , Arjona-Fuentes Juan M. , Law Rob , Han Heesup 
Published: April 2017

Purpose
The purpose of this study is to the address the key factors of workplace bullying among hospitality employees, as workplace bullying results in damaging consequences on both individuals and organizations.

Design/methodology/approach
This study first defines the phenomenon of workplace bullying and then reviews the related literature. Data are collected from a sample population of 238 hospitality employees obtained from the latest European Working Conditions Survey. Logistic regression analysis is used to achieve the study objectives.

Findings
Results from the binary logistic regression model show the main personal and organizational factors related to the probability of workplace bullying. The logistic regression model explains 76.4 per cent of the total variations in the sample. The model correctly classifies 78.1 per cent of hospitality employees who did not feel bullied in their profession and 74.1 per cent of employees who did feel bullied.

Practical implications
The authors’ findings imply that responsible managers in hospitality enterprises may reduce the organizational levels of workplace bullying by adjusting certain working conditions and establishing a supportive environment.

Originality/value
Studies on personalities inclined to bullying are inconclusive. To the best of the authors’ knowledge, this research is the first to develop a comprehensive and exploratory conceptual model of workplace bullying that links personal variables, working conditions and contextual factors to the prevalence of workplace bullying within the hospitality sector in the European context.
The impacts of historic districts on residential property land values in Australia
Authors: Warren Clive M.J. , Elliott Peter , Staines Jason 
Published: April 2017

PurposeFocusing on the externality effects of historic districts, this paper aims to assess and compare the impact of historic district designation on the value of residential vacant land property.Design/methodology/approachHedonic regression is used to analyze data from 4,233 residential vacant site transactions to measure the influence of historic district designation on the price of residential vacant site properties.FindingsResults support established theory and research on other residential property types, showing a significant and positive relationship between designation in a historic district and property prices. Residential vacant sites located in a designated historic district sold at a 10-11 per cent premium compared to similar vacant sites not located in a historic district.Originality/valueThis is the first empirical study of the influence of historic districts on residential vacant land property. The paper extends limited previous literature on the externality effects of historic districts through detailed analysis of a large Australian housing market(Brisbane).
The sensitivity of house prices under varying monetary regimes: the Nordic scenario
Authors: Cajias Marcelo , Ertl Sebastian 
Published: April 2017

PurposeThis paper aims to examine whether there are differences between the long and short-term relationship of house prices and interest rates. The elasticity of house prices to monetary policy changes, e.g. via interest rates, is from a theoretical perspective and in the long-run negative. However, house prices adapt in the short-run dynamically to economic, financial, institutional and demographic factors.Design/methodology/approachIn this paper, the authors confirm the aforementioned elasticity for the Nordic housing markets but provide evidence of drastic deviations from the negative relationship. This is done by using rolling regressions in search for time-varying betas.FindingsThe empirical results show that recessionary and expansionary policy regimes play a much more important role in the development of house prices in Finland, Sweden and Norway, than in Denmark.Originality/valueFurther, it is shown that the relationship between house prices and monetary policy is discontinuous over time, with large deviations from the long-term beta during the past decade. This holds true especially since the beginning of the financial crisis and the expansionary monetary policy in Europe.
The effectiveness of RFID in backroom and sales floor inventory management
Authors: Goyal Sandeep , Hardgrave Bill C. , Aloysius John A. , DeHoratius Nicole 
Published: April 2017

PurposePerceived as an antidote to poor execution, interest in radio frequency identification (RFID)-enabled visibility has grown. The purpose of this paper is to examine whether and how RFID-enabled visibility with item-level tagging improves store execution.Design/methodology/approachThe authors conducted three field-based experiments in collaboration with two Fortune 500 retailers.FindingsRFID-enabled visibility resulted in a sizable decrease in inventory record inaccuracy and out-of-stocks for inventory held in both the backroom and on the sales floor. The decrease in inventory record inaccuracy and out-of-stocks was even greater among products stored primarily on the sales floor suggesting the benefits from increased visibility accrue to sales floor inventory management processes. In contrast, the authors found no significant improvement in inventory record inaccuracy and no substantive improvement in out-of-stocks among products stored primarily in the backroom suggesting that increased visibility does not improve backroom management processes.Practical implicationsThe authors recommend retailers focus on sales floor inventory management when seeking to improve store execution through the adoption of RFID-enabled visibility. In the context, only partial evidence exists that backroom inventory management improves with RFID-enabled visibility.Originality/valueRetailers seeking to invest in RFID technology must estimate potential performance improvements before making firm-specific cost-benefit analyses. They must also understand where and how these performance improvements will accrue. This research uniquely presents the results of a three field experiments that quantify the changes in retail execution associated with RFID adoption.
Supply chain integration and logistics performance: the role of supply chain dynamism
Authors: Lee Hee-Yong , Seo Young-Joon , Dinwoodie John 
Published: April 2017

Purpose
The purpose of this paper is to expand knowledge of supply chain management (SCM) by empirically testing the moderating effects of supply chain dynamism (SCD) on the association between supply chain integration (SCI) and logistics performance.

Design/methodology/approach
Survey methods were used to measure the perspective of South Korean manufacturers. Moderated hierarchical regression analysis was undertaken to test the proposed hypotheses empirically.

Findings
The findings suggest that SCI can enhance logistics performance when the level of SCD is high, but the effects of SCI on logistics performance are blurred at low levels of SCD.

Originality/value
This finding provides empirical evidence of the moderating effects of SCD on the SCI-logistics performance link and offers a new interpretation of the relationship. This work contributes to SCM disciplines by providing theory-driven and empirically tested explanations.