bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is the Personal Always Political?
Authors: Osborne Danny , Dufresne Yannick , Eady Gregory , Lees-Marshment Jennifer , van der Linden Cliff 
Published: August 2017

Abstract. Research demonstrates that the negative relationship between Openness to Experience and conservatism is heightened among the informed. We extend this literature using national survey data (Study 1; N = 13,203) and data from students (Study 2; N = 311). As predicted, education – a correlate of political sophistication – strengthened the negative relationship between Openness and conservatism (Study 1). Study 2 employed a knowledge-based measure of political sophistication to show that the Openness × Political Sophistication interaction was restricted to the Openness aspect of Openness. These studies demonstrate that knowledge helps people align their ideology with their personality, but that the Openness × Political Sophistication interaction is specific to one aspect of Openness – nuances that are overlooked in the literature.
TMEM74 promotes tumor cell survival by inducing autophagy via interactions with ATG16L1 and ATG9A
Authors: Sun Yizhe , Chen Yingyu , Zhang Jingyu , Cao Lulu , He Minwei , Liu Xi , Zhao Ning , Yin Ang , Huang He , Wang Lu 
Published: August 2017

AbstractAutophagy is a highly inducible system of intracellular degradation that occurs in lysosomes or vacuoles. Transmembrane 74 (TMEM74) has been shown to induce autophagy. However, the mechanism by which TMEM74 stimulates autophagy and the impacts of TMEM74-induced autophagy on tumor cell survival remain unclear. In this study, TMEM74 was shown to increase the autophagic flux process in different tumor cell lines. Further investigations revealed that TMEM74 interacts with ATG16L1 and ATG9A. Moreover, distinctive from the common autophagy models, it is found that TMEM74-related autophagy is independent of BECN1/PI3KC3 complex and ULK1, and TMEM74 may initiate and promote autophagy directly via interactions with ATG16L1 and ATG9A responsible for the nucleation and elongation respectively. Considering the ultimate outcome of TMEM74-induced autophagy in tumor cells, TMEM74-triggered autophagy induces a pro-survival effect on tumor cells, particularly cells under metabolic stress, consistent with alteration of a series of signal pathways. Intriguingly, TMEM74 itself can be downregulated through the autophagic process, which indicates that a potential self-regulatory loop exists so as to maintain an appropriate level of autophagy, avoiding excessive autophagy to commit tumor cells to death. According to the clinical database analysis, the high expression of TMEM74 significantly shortens the surviving periods of patients in several specific cancers indicating that TMEM74 itself can be treated as an effective potential target with clinical values to prolong surviving periods of cancer patients in the future. In conclusion, our study reveals a new mechanism by which autophagy is stimulated by a novel positive modulator through a unique pathway and demonstrates a novel connection between autophagy and cell survival, which undoubtedly serves to broaden our understanding of autophagy.
Amlexanox, a selective inhibitor of IKBKE, generates anti-tumoral effects by disrupting the Hippo pathway in human glioblastoma cell lines
Authors: Liu Yang , Lu Jie , Zhang Zhimeng , Zhu Lin , Dong Shicai , Guo Gaochao , Li Ruohong , Nan Yang , Yu Kai , Zhong Yue , Huang Qiang 
Published: August 2017

AbstractGlioblastoma multiforme (GBM) is the most prevalent form of malignant brain tumor. Amlexanox, a novel compound, has been shown to have anti-cancer potential. In this study, the anti-tumoral effects and the underlying mechanisms of amlexanox were investigated. Amlexanox significantly suppressed proliferation and invasion and induced apoptosis in glioblastoma cells. Furthermore, we found that amlexanox altered the protein expression of the Hippo pathway by downregulating IKBKE. Our data indicates that IKBKE directly targets LATS1/2 and induces degradation of LATS1/2, thereby inhibiting the activity of the Hippo pathway. In vivo results further confirmed the tumor inhibitory effect of amlexanox via the downregulation of IKBKE, and amlexanox induced no apparent toxicity. Collectively, our studies suggest that amlexanox is a promising therapeutic agent for the treatment of GBM.
HDAC6 inhibition by tubastatin A is protective against oxidative stress in a photoreceptor cell line and restores visual function in a zebrafish model of inherited blindness
Authors: Leyk Janina , Daly Conor , Janssen-Bienhold Ulrike , Kennedy Breandán N , Richter-Landsberg Christiane 
Published: August 2017

AbstractRetinal diseases, such as hereditary retinitis pigmentosa and age-related macular degeneration, are characterized by the progressive loss of photoreceptors. Histone deacetylase 6 (HDAC6) is considered as a stress surveillance factor and a potential target for neuroprotection and regeneration. Overexpression of HDAC6 has been connected to neurodegenerative disorders, and its suppression may provide protection. Here we show that HDAC6 is constitutively present in the mouse retina, and in the cone-like mouse cell line 661W. In 661W cells HDAC6 inhibition by the specific inhibitor tubastatin A (TST) led to the acetylation ofα-tubulin, which is a major substrate for HDAC6. After oxidative stress, exerted by hydrogen peroxide, TST promoted cell survival and the upregulation of heat-shock proteins HSP70 and HSP25 by activation of heat-shock transcription factor 1. Furthermore, in response to oxidative stress the redox regulatory protein peroxiredoxin 1 (Prx1) was modulated in 661W cells by HDAC6 inhibition. The peroxide reducing activity of Prx1 is dependent on its acetylation, which is mediated by HDAC6. Pre-incubation with TST prevented the inactivation of Prx1 and its preserved activity may exert protective effects in photoreceptor cells. To determine whether TST treatment has a therapeutic effect on visual function, thedyeucd6zebrafish model of inherited sight loss was utilized. Zebrafish have developed as a suitable model system for pharmacological testing.In vivoapplication of TST caused the hyperacetylation ofα-tubulin, indicating that HDAC6 is active in this model. Furthermore, TST was sufficient to rescue visual function and retinal morphology. Hence, HDAC6 inhibition and the regulation of peroxiredoxin activity may play a significant role in protecting retinal cells and in particular photoreceptors, which are exposed to high levels of reactive oxygen species derived from oxidative stress-induced injuries.
Above-threshold scattering about a Feshbach resonance for ultracold atoms in an optical collider
Authors: Horvath Milena S. J. , Thomas Ryan , Tiesinga Eite , Deb Amita B. , Kjærgaard Niels 
Published: August 2017

AbstractUltracold atomic gases have realized numerous paradigms of condensed matter physics, where control over interactions has crucially been afforded by tunable Feshbach resonances. So far, the characterization of these Feshbach resonances has almost exclusively relied on experiments in the threshold regime near zero energy. Here, we use a laser-based collider to probe a narrow magnetic Feshbach resonance of rubidium above threshold. By measuring the overall atomic loss from colliding clouds as a function of magnetic field, we track the energy-dependent resonance position. At higher energy, our collider scheme broadens the loss feature, making the identification of the narrow resonance challenging. However, we observe that the collisions give rise to shifts in the center-of-mass positions of outgoing clouds. The shifts cross zero at the resonance and this allows us to accurately determine its location well above threshold. Our inferred resonance positions are in excellent agreement with theory.
Hydrogen bond based smart polymer for highly selective and tunable capture of multiply phosphorylated peptides
Authors: Qing Guangyan , Lu Qi , Li Xiuling , Liu Jing , Ye Mingliang , Liang Xinmiao , Sun Taolei 
Published: August 2017

AbstractMultisite phosphorylation is an important and common mechanism for finely regulating protein functions and subsequent cellular responses. However, this study is largely restricted by the difficulty to capture low-abundance multiply phosphorylated peptides (MPPs) from complex biosamples owing to the limitation of enrichment materials and their interactions with phosphates. Here we show that smart polymer can serve as an ideal platform to resolve this challenge. Driven by specific but tunable hydrogen bonding interactions, the smart polymer displays differential complexation with MPPs, singly phosphorylated and non-modified peptides. Importantly, MPP binding can be modulated conveniently and precisely by solution conditions, resulting in highly controllable MPP adsorption on material surface. This facilitates excellent performance in MPP enrichment and separation from model proteins and real biosamples. High enrichment selectivity and coverage, extraordinary adsorption capacities and recovery towards MPPs, as well as high discovery rates of unique phosphorylation sites, suggest its great potential in phosphoproteomics studies.
Non-parametric genetic prediction of complex traits with latent Dirichlet process regression models
Authors: Zeng Ping , Zhou Xiang 
Published: August 2017

AbstractUsing genotype data to perform accurate genetic prediction of complex traits can facilitate genomic selection in animal and plant breeding programs, and can aid in the development of personalized medicine in humans. Because most complex traits have a polygenic architecture, accurate genetic prediction often requires modeling all genetic variants together via polygenic methods. Here, we develop such a polygenic method, which we refer to as the latent Dirichlet process regression model. Dirichlet process regression is non-parametric in nature, relies on the Dirichlet process to flexibly and adaptively model the effect size distribution, and thus enjoys robust prediction performance across a broad spectrum of genetic architectures. We compare Dirichlet process regression with several commonly used prediction methods with simulations. We further apply Dirichlet process regression to predict gene expressions, to conduct PrediXcan based gene set test, to perform genomic selection of four traits in two species, and to predict eight complex traits in a human cohort.
Large order fluctuations, switching, and control in complex networks
Authors: Hindes Jason , Schwartz Ira B. 
Published: August 2017

AbstractWe propose an analytical technique to study large fluctuations and switching from internal noise in complex networks. Using order-disorder kinetics as a generic example, we construct and analyze the most probable, or optimal path of fluctuations from one ordered state to another in real and synthetic networks. The method allows us to compute the distribution of large fluctuations and the time scale associated with switching between ordered states for networks consistent with mean-field assumptions. In general, we quantify how network heterogeneity influences the scaling patterns and probabilities of fluctuations. For instance, we find that the probability of a large fluctuation near an order-disorder transition decreases exponentially with the participation ratio of a network’s principle eigenvector – measuring how many nodes effectively contribute to an ordered state. Finally, the proposed theory is used to answer how and where a network should be targeted in order to optimize the time needed to observe a switch.
A Botrytis cinerea KLP-7 Kinesin acts as a Virulence Determinant during Plant Infection
Authors: Tayal Pamil , Raj Sumit , Sharma Esha , Kumar Manoj , Dayaman Vikram , Verma Nidhi , Jogawat Abhimanyu , Dua Meenakshi , Kapoor Rupam , Johri Atul Kumar 
Published: August 2017

AbstractBotrytis cinereais a necrotrophic pathogen that infects many important crops. In an attempt to unravel some novel factors that govern pathogenicity inB. cinerea,Agrobacterium tumefaciensmediated transformation (ATMT) was deployed, and a number of tagged transformants were generated. Among these, a mutant, BCM-29 exhibited slower growth rate, reduced conidia size, conidiation and penetration. The mutant was also defective in secretion of oxalic acid (OA) and exhibited reduced activities of polygalacturonase (PG) and pectin methyl esterases (PME). TAIL-PCR followed by BLAST search identified the tagged gene asKLP-7that encodes for kinesin. Targeted deletion ofKLP-7resulted in several folds decrease in virulence of mutants as compared to WT, while complementation of the gene helped in rescue of virulence traits. This is the first time when a unique kinesinKLP-7that is mainly found in the phylum Pezizomycotina has been linked to virulence inB. cinerea.
Effects of Centella asiatica (L.) Urb. on cognitive function and mood related outcomes: A Systematic Review and Meta-analysis
Authors: Puttarak Panupong , Dilokthornsakul Piyameth , Saokaew Surasak , Dhippayom Teerapon , Kongkaew Chuenjid , Sruamsiri Rosarin , Chuthaputti Anchalee , Chaiyakunapruk Nathorn 
Published: August 2017

AbstractCentella asiatica (L.) Urb. has been used as an herbal brain tonic for mental disorders and enhancing memory, but no review of the overall evidence of C. asiatica and cognitive function has been conducted. This study aims to determine the effects of C. asiatica on cognitive function and its related properties. The current systematic review includes five randomized controlled trials (RCTs) conducted to determine the effect of C. asiatica alone and six RCTs conducted to determine the effect of C. asiatica-containing products. Meta-analysis indicated that there are no significant differences in all cognitive function domains of C. asiatica when compared to placebo. However, it could improve mood by increasing alert scores [SMD: 0.71 (95% CI; 0.01 to 1.41); I2 = 30.5%] and decreasing anger scores at 1 hour after treatment [SMD: −0.81 (95%CI; −1.51 to −0.09); I2 = 36.6%]. None of the studies reported adverse effects of C. asiatica. In conclusion, there is not strong evidence to support the use of C. asiatica for cognitive function improvement in each cognitive domain. C. asiatica could improve alertness and relieve anger. However, some limitations should be aware including dose regimen, plant preparation, standardization, and product variation. Future well-designed clinical trials using suitable doses of standardized C. asiatica are still needed.
Fasting glucose and body mass index as predictors of activity in breast cancer patients treated with everolimus-exemestane: The EverExt study
Authors: Pizzuti Laura , Marchetti Paolo , Natoli Clara , Gamucci Teresa , Santini Daniele , Scinto Angelo Fedele , Iezzi Laura , Mentuccia Lucia , D’Onofrio Loretta , Botticelli Andrea , Moscetti Luca , Sperati Francesca , Botti Claudio , Ferranti Francesca , Buglioni Simonetta , Sanguineti Giuseppe , Di Filippo Simona , di Lauro Luigi , Sergi Domenico , Catenaro Teresa , Tomao Silverio , Giordano Antonio , Maugeri-Saccà Marcello , Barba Maddalena , Vici Patrizia 
Published: August 2017

AbstractEvidence on everolimus in breast cancer has placed hyperglycemia among the most common high grade adverse events. Anthropometrics and biomarkers of glucose metabolism were investigated in a observational study of 102 postmenopausal, HR + HER2- metastatic breast cancer patients treated with everolimus-exemestane in first and subsequent lines. Best overall response (BR) and clinical benefit rate (CBR) were assessed across subgroups defined upon fasting glucose (FG) and body mass index (BMI). Survival was estimated by Kaplan-Meier method and log-rank test. Survival predictors were tested in Cox models. Median follow up was 12.4 months (1.0–41.0). The overall cohort showed increasing levels of FG and decreasing BMI (p < 0.001). Lower FG fasting glucose at BR was more commonly associated with C/PR or SD compared with PD (p < 0.001). We also observed a somewhat higher BMI associated with better response (p = 0.052). More patients in the lowest FG category achieved clinical benefit compared to the highest (p < 0.001), while no relevant differences emerged for BMI. Fasting glucose at re-assessment was also predictive of PFS (p = 0.037), as confirmed in models including BMI and line of therapy (p = 0.049). Treatment discontinuation was significantly associated with changes in FG (p = 0.014). Further research is warranted to corroborate these findings and clarify the underlying mechanisms.
Germline Mutations in Cancer Predisposition Genes are Frequent in Sporadic Sarcomas
Authors: Chan Sock Hoai , Lim Weng Khong , Ishak Nur Diana Binte , Li Shao-Tzu , Goh Wei Lin , Tan Gek San , Lim Kiat Hon , Teo Melissa , Young Cedric Ng Chuan , Malik Simeen , Tan Mann Hong , Teh Jonathan Yi Hui , Chin Francis Kuok Choon , Kesavan Sittampalam , Selvarajan Sathiyamoorthy , Tan Patrick , Teh Bin Tean , Soo Khee Chee , Farid Mohamad , Quek Richard , Ngeow Joanne 
Published: August 2017

AbstractAssociations of sarcoma with inherited cancer syndromes implicate genetic predisposition in sarcoma development. However, due to the apparently sporadic nature of sarcomas, little attention has been paid to the role genetic susceptibility in sporadic sarcoma. To address this, we performed targeted-genomic sequencing to investigate the prevalence of germline mutations in known cancer-associated genes within an Asian cohort of sporadic sarcoma patients younger than 50 years old. We observed 13.6% (n = 9) amongst 66 patients harbour at least one predicted pathogenic germline mutation in 10 cancer-associated genes including ATM, BRCA2, ERCC4, FANCC, FANCE, FANCI, MSH6, POLE, SDHA and TP53. The most frequently affected genes are involved in the DNA damage repair pathway, with a germline mutation prevalence of 10.6%. Our findings suggests that genetic predisposition plays a larger role than expected in our Asian cohort of sporadic sarcoma, therefore clinicians should be aware of the possibility that young sarcoma patients may be carriers of inherited mutations in cancer genes and should be considered for genetic testing, regardless of family history. The prevalence of germline mutations in DNA damage repair genes imply that therapeutic strategies exploiting the vulnerabilities resulting from impaired DNA repair may be promising areas for translational research.
Proteomic analysis on roots of Oenothera glazioviana under copper-stress conditions
Authors: Wang Chong , Wang Jie , Wang Xiao , Xia Yan , Chen Chen , Shen Zhenguo , Chen Yahua 
Published: August 2017

AbstractProteomic studies were performed to identify proteins involved in the response of Oenothera glazioviana seedlings under Cu stress. Exposure of 28-d-old seedlings to 50 μM CuSO4 for 3 d led to inhibition of shoot and root growth as well as a considerable increase in the level of lipid peroxidation in the roots. Cu absorbed by O. glazioviana accumulated more easily in the root than in the shoot. Label-free proteomic analysis indicated 58 differentially abundant proteins (DAPs) of the total 3,149 proteins in the roots of O. glazioviana seedlings, of which 36 were upregulated and 22 were downregulated under Cu stress conditions. Gene Ontology analysis showed that most of the identified proteins could be annotated to signal transduction, detoxification, stress defence, carbohydrate, energy, and protein metabolism, development, and oxidoreduction. We also retrieved 13 proteins from the enriched Kyoto Encyclopaedia of Genes and Genomes and the protein-protein interaction databases related to various pathways, including the citric acid (CA) cycle. Application of exogenous CA to O. glazioviana seedlings exposed to Cu alleviated the stress symptoms. Overall, this study provided new insights into the molecular mechanisms of plant response to Cu at the protein level in relation to soil properties.
MicroRNA-449a deficiency promotes colon carcinogenesis
Authors: Niki Masanori , Nakajima Kohei , Ishikawa Daichi , Nishida Jun , Ishifune Chieko , Tsukumo Shin-ichi , Shimada Mitsuo , Nagahiro Shinji , Mitamura Yoshinori , Yasutomo Koji 
Published: August 2017

AbstractMicroRNAs have broad roles in tumorigenesis and cell differentiation through regulation of target genes. Notch signaling also controls cell differentiation and tumorigenesis. However, the mechanisms through which Notch mediates microRNA expression are still unclear. In this study, we aimed to identify microRNAs regulated by Notch signaling. Our analysis found that microRNA-449a (miR-449a) was indirectly regulated by Notch signaling. Although miR-449a-deficient mice did not show any Notch-dependent defects in immune cell development, treatment of miR-449a-deficient mice with azoxymethane (AOM) or dextran sodium sulfate (DSS) increased the numbers and sizes of colon tumors. These effects were associated with an increase in intestinal epithelial cell proliferation following AOM/DSS treatment. In patients with colon cancer, miR-449a expression was inversely correlated with disease-free survival and histological scores and was positively correlated with the expression of MLH1 for which loss-of function mutations have been shown to be involved in colon cancer. Colon tissues of miR-449a-deficient mice showed reduced Mlh1 expression compared with those of wild-type mice. Thus, these data suggested that miR-449a acted as a key regulator of colon tumorigenesis by controlling the proliferation of intestinal epithelial cells. Additionally, activation of miR-449a may represent an effective therapeutic strategy and prognostic marker in colon cancer.
An efficient algorithm for finding all possible input nodes for controlling complex networks
Authors: Zhang Xizhe , Han Jianfei , Zhang Weixiong 
Published: August 2017

AbstractUnderstanding structural controllability of a complex network requires to identify a Minimum Input nodes Set (MIS) of the network. Finding an MIS is known to be equivalent to computing a maximum matching of the network, where the unmatched nodes constitute an MIS. However, maximum matching is often not unique for a network, and finding all possible input nodes, the union of all MISs, may provide deep insights to the controllability of the network. Here we present an efficient enumerative algorithm for the problem. The main idea is to modify a maximum matching algorithm to make it efficient for finding all possible input nodes by computing only one MIS. The algorithm can also output a set of substituting nodes for each input node in the MIS, so that any node in the set can replace the latter. We rigorously proved the correctness of the new algorithm and evaluated its performance on synthetic and large real networks. The experimental results showed that the new algorithm ran several orders of magnitude faster than an existing method on large real networks.