Showing papers by "University of Tsukuba published in 2017"
Theo Vos1, Amanuel Alemu Abajobir, Kalkidan Hassen Abate2, Cristiana Abbafati3 +775 more•Institutions (305)
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016.
10,401 citations
TL;DR: The effects, on women and their babies, of continuous, one-to-one intrapartum support compared with usual care, in any setting are assessed.
Abstract: Historically women have been attended and supported by other women during labour and birth However in many countries, as more women are giving birth in hospital rather than at home, continuous support during labour has become the exception rather than the norm This may contribute to the dehumanisation of women's childbirth experiences Modern obstetric care frequently subjects women to institutional routines, which may have adverse effects on the progress of labour Supportive care during labour may involve emotional support, comfort measures, information and advocacy These may enhance physiologic labour processes as well as women's feelings of control and competence, and thus reduce the need for obstetric intervention The review of studies included 23 trials (22 providing data), from 16 countries, involving more than 15,000 women in a wide range of settings and circumstances The continuous support was provided either by hospital staff (such as nurses or midwives), women who were not hospital employees and had no personal relationship to the labouring woman (such as doulas or women who were provided with a modest amount of guidance), or by companions of the woman's choice from her social network (such as her husband, partner, mother, or friend) Women who received continuous labour support were more likely to give birth 'spontaneously', ie give birth with neither caesarean nor vacuum nor forceps In addition, women were less likely to use pain medications, were more likely to be satisfied, and had slightly shorter labours Their babies were less likely to have low five-minute Apgar scores No adverse effects were identified We conclude that all women should have continuous support during labour Continuous support from a person who is present solely to provide support, is not a member of the woman's social network, is experienced in providing labour support, and has at least a modest amount of training, appears to be most beneficial In comparison with having no companion during labour, support from a chosen family member or friend appears to increase women's satisfaction with their childbearing experience
1,059 citations
Centre for Life1, National University of Singapore2, University of Toulouse3, University of Bristol4, Massey University5, National Institute of Advanced Industrial Science and Technology6, National Institutes of Health7, Barcelona Biomedical Research Park8, King Abdullah University of Science and Technology9, Harry Perkins Institute of Medical Research10, Wayne State University11, University of Western Australia12, German Center for Neurodegenerative Diseases13, Charité14, University of Queensland15, University of Melbourne16, University of Tsukuba17, Karolinska Institutet18
TL;DR: This work integrates multiple transcript collections to generate a comprehensive atlas of 27,919 human lncRNA genes with high-confidence 5′ ends and expression profiles across 1,829 samples from the major human primary cell types and tissues, identifying 19,175 potentially functional lncRNAs in the human genome.
Abstract: Long non-coding RNAs (lncRNAs) are largely heterogeneous and functionally uncharacterized. Here, using FANTOM5 cap analysis of gene expression (CAGE) data, we integrate multiple transcript collections to generate a comprehensive atlas of 27,919 human lncRNA genes with high-confidence 5' ends and expression profiles across 1,829 samples from the major human primary cell types and tissues. Genomic and epigenomic classification of these lncRNAs reveals that most intergenic lncRNAs originate from enhancers rather than from promoters. Incorporating genetic and expression data, we show that lncRNAs overlapping trait-associated single nucleotide polymorphisms are specifically expressed in cell types relevant to the traits, implicating these lncRNAs in multiple diseases. We further demonstrate that lncRNAs overlapping expression quantitative trait loci (eQTL)-associated single nucleotide polymorphisms of messenger RNAs are co-expressed with the corresponding messenger RNAs, suggesting their potential roles in transcriptional regulation. Combining these findings with conservation data, we identify 19,175 potentially functional lncRNAs in the human genome.
821 citations
TL;DR: This work observes long-lived temporal correlations, experimentally identifies the phase boundary and finds that the temporal order is protected by strong interactions, which opens the door to exploring dynamical phases of matter and controlling interacting, disordered many-body systems.
Abstract: Understanding quantum dynamics away from equilibrium is an outstanding challenge in the modern physical sciences Out-of-equilibrium systems can display a rich variety of phenomena, including self-organized synchronization and dynamical phase transitions More recently, advances in the controlled manipulation of isolated many-body systems have enabled detailed studies of non-equilibrium phases in strongly interacting quantum matter; for example, the interplay between periodic driving, disorder and strong interactions has been predicted to result in exotic 'time-crystalline' phases, in which a system exhibits temporal correlations at integer multiples of the fundamental driving period, breaking the discrete time-translational symmetry of the underlying drive Here we report the experimental observation of such discrete time-crystalline order in a driven, disordered ensemble of about one million dipolar spin impurities in diamond at room temperature We observe long-lived temporal correlations, experimentally identify the phase boundary and find that the temporal order is protected by strong interactions This order is remarkably stable to perturbations, even in the presence of slow thermalization Our work opens the door to exploring dynamical phases of matter and controlling interacting, disordered many-body systems
760 citations
Karolinska University Hospital1, Karolinska Institutet2, Hospital of the University of Pennsylvania3, Great Ormond Street Hospital4, Brigham and Women's Hospital5, University of Kansas6, University of Alabama7, Mayo Clinic8, University of Pittsburgh9, Central Manchester University Hospitals NHS Foundation Trust10, University of Liverpool11, University of Debrecen12, University of Toronto13, University of Guadalajara14, University of Cambridge15, University of Tsukuba16, United States Department of Health and Human Services17, Tokyo Medical and Dental University18, Oregon State University19, Dalhousie University20, Peking University21, Duke University22, Oslo University Hospital23, New Generation University College24, Charles University in Prague25, National Institutes of Health26
TL;DR: New classification criteria for IIM have been endorsed by international rheumatology, dermatology, neurology and paediatric groups, and have been partially validated and generally perform better than existing criteria.
Abstract: Objective To develop and validate new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIM) and their major subgroups. Methods Candidate variables were assembled from published criteria and expert opinion using consensus methodology. Data were collected from 47 rheumatology, dermatology, neurology and paediatric clinics worldwide. Several statistical methods were used to derive the classification criteria. Results Based on data from 976 IIM patients (74% adults; 26% children) and 624 non-IIM patients with mimicking conditions (82% adults; 18% children), new criteria were derived. Each item is assigned a weighted score. The total score corresponds to a probability of having IIM. Subclassification is performed using a classification tree. A probability cut-off of 55%, corresponding to a score of 5.5 (6.7 with muscle biopsy) ‘probable IIM’, had best sensitivity/specificity (87%/82% without biopsies, 93%/88% with biopsies) and is recommended as a minimum to classify a patient as having IIM. A probability of ≥90%, corresponding to a score of ≥7.5 (≥8.7 with muscle biopsy), corresponds to ‘definite IIM’. A probability of Conclusions The European League Against Rheumatism/American College of Rheumatology (EULAR/ACR) classification criteria for IIM have been endorsed by international rheumatology, dermatology, neurology and paediatric groups. They employ easily accessible and operationally defined elements, and have been partially validated. They allow classification of ‘definite’, ‘probable’ and ‘possible’ IIM, in addition to the major subgroups of IIM, including juvenile IIM. They generally perform better than existing criteria.
754 citations
TL;DR: The rationale for targeting TGF-β signaling in cancer is reviewed, the clinical status of pharmacological inhibitors are summarized, and the direct effects of TGF -β signaling blockade on tumor and stromal cells are discussed.
Abstract: The transforming growth factor (TGF)-β signaling pathway is deregulated in many diseases, including cancer. In healthy cells and early-stage cancer cells, this pathway has tumor-suppressor functions, including cell-cycle arrest and apoptosis. However, its activation in late-stage cancer can promote tumorigenesis, including metastasis and chemoresistance. The dual function and pleiotropic nature of TGF-β signaling make it a challenging target and imply the need for careful therapeutic dosing of TGF-β drugs and patient selection. We review here the rationale for targeting TGF-β signaling in cancer and summarize the clinical status of pharmacological inhibitors. We discuss the direct effects of TGF-β signaling blockade on tumor and stromal cells, as well as biomarkers that can predict the efficacy of TGF-β inhibitors in cancer patients.
671 citations
TL;DR: A significant strong correlation between mean LST and the density of impervious surface and green space along the urban-rural gradients of the three cities is found, highlighting the important role of green spaces in mitigating UHI effects, an important urban ecosystem service.
658 citations
Tel Aviv University1, University of New Hampshire2, Leibniz Association3, University of Saskatchewan4, Kansas State University5, Hebrew University of Jerusalem6, Agricultural Research Organization, Volcani Center7, Montana State University8, University of Haifa9, United States Department of Agriculture10, University of Illinois at Urbana–Champaign11, Weizmann Institute of Science12, University of Minnesota13, University of Bologna14, National Research Council15, Ben-Gurion University of the Negev16, University of Tsukuba17, Technische Universität München18
TL;DR: A 10.1-gigabase assembly of the 14 chromosomes of wild tetraploid wheat, as well as analyses of gene content, genome architecture, and genetic diversity reveal genomic regions bearing the signature of selection under domestication.
Abstract: Wheat (Triticum spp.) is one of the founder crops that likely drove the Neolithic transition to sedentary agrarian societies in the Fertile Crescent more than 10,000 years ago. Identifying genetic modifications underlying wheat's domestication requires knowledge about the genome of its allo-tetraploid progenitor, wild emmer (T. turgidum ssp. dicoccoides). We report a 10.1-gigabase assembly of the 14 chromosomes of wild tetraploid wheat, as well as analyses of gene content, genome architecture, and genetic diversity. With this fully assembled polyploid wheat genome, we identified the causal mutations in Brittle Rachis 1 (TtBtr1) genes controlling shattering, a key domestication trait. A study of genomic diversity among wild and domesticated accessions revealed genomic regions bearing the signature of selection under domestication. This reference assembly will serve as a resource for accelerating the genome-assisted improvement of modern wheat varieties.
622 citations
TL;DR: This Review aims to provide a comprehensive understanding of the role of SREBPs in physiology and pathophysiology at the cell, organ and organism levels.
Abstract: Cellular lipid metabolism and homeostasis are controlled by sterol regulatory-element binding proteins (SREBPs). In addition to performing canonical functions in the transcriptional regulation of genes involved in the biosynthesis and uptake of lipids, genome-wide system analyses have revealed that these versatile transcription factors act as important nodes of convergence and divergence within biological signalling networks. Thus, they are involved in myriad physiological and pathophysiological processes, highlighting the importance of lipid metabolism in biology. Changes in cell metabolism and growth are reciprocally linked through SREBPs. Anabolic and growth signalling pathways branch off and connect to multiple steps of SREBP activation and form complex regulatory networks. In addition, SREBPs are implicated in numerous pathogenic processes such as endoplasmic reticulum stress, inflammation, autophagy and apoptosis, and in this way, they contribute to obesity, dyslipidaemia, diabetes mellitus, nonalcoholic fatty liver disease, nonalcoholic steatohepatitis, chronic kidney disease, neurodegenerative diseases and cancers. This Review aims to provide a comprehensive understanding of the role of SREBPs in physiology and pathophysiology at the cell, organ and organism levels.
575 citations
TL;DR: A fusion of CRISPR-Cas9 and activation-induced cytidine deaminase (Target-AID) for point mutagenesis at genomic regions specified by single guide RNAs (sgRNAs) in two crop plants demonstrates the feasibility of base editing for crop improvement.
Abstract: Targeted editing of single base pairs is achieved in monocot rice and dicot tomato using Target-AID (Cas9 activation-induced cytidine deaminase fusion). We applied a fusion of CRISPR-Cas9 and activation-induced cytidine deaminase (Target-AID) for point mutagenesis at genomic regions specified by single guide RNAs (sgRNAs) in two crop plants. In rice, we induced multiple herbicide-resistance point mutations by multiplexed editing using herbicide selection, while in tomato we generated marker-free plants with homozygous heritable DNA substitutions, demonstrating the feasibility of base editing for crop improvement.
552 citations
TL;DR: Chronic social defeat stress induces loss of protein claudin-5, leading to abnormalities in blood vessel morphology, increased blood brain barrier permeability, infiltration of immune signals and depression-like behaviors.
Abstract: Studies suggest that heightened peripheral inflammation contributes to the pathogenesis of major depressive disorder. We investigated the effect of chronic social defeat stress, a mouse model of depression, on blood–brain barrier (BBB) permeability and infiltration of peripheral immune signals. We found reduced expression of the endothelial cell tight junction protein claudin-5 (Cldn5) and abnormal blood vessel morphology in nucleus accumbens (NAc) of stress-susceptible but not resilient mice. CLDN5 expression was also decreased in NAc of depressed patients. Cldn5 downregulation was sufficient to induce depression-like behaviors following subthreshold social stress whereas chronic antidepressant treatment rescued Cldn5 loss and promoted resilience. Reduced BBB integrity in NAc of stress-susceptible or mice injected with adeno-associated virus expressing shRNA against Cldn5 caused infiltration of the peripheral cytokine interleukin-6 (IL-6) into brain parenchyma and subsequent expression of depression-like behaviors. These findings suggest that chronic social stress alters BBB integrity through loss of tight junction protein Cldn5, promoting peripheral IL-6 passage across the BBB and depression. Chronic social defeat stress induces loss of protein claudin-5, leading to abnormalities in blood vessel morphology, increased blood brain barrier permeability, infiltration of immune signals and depression-like behaviors.
TL;DR: It is demonstrated that the endogenous regenerative properties of the adult mammalian heart can be reactivated by exposure to gradual systemic hypoxaemia, and the potential therapeutic role of hypoxia in regenerative medicine is highlighted.
Abstract: The adult mammalian heart is incapable of regeneration following cardiomyocyte loss, which underpins the lasting and severe effects of cardiomyopathy Recently, it has become clear that the mammalian heart is not a post-mitotic organ For example, the neonatal heart is capable of regenerating lost myocardium, and the adult heart is capable of modest self-renewal In both of these scenarios, cardiomyocyte renewal occurs via the proliferation of pre-existing cardiomyocytes, and is regulated by aerobic-respiration-mediated oxidative DNA damage Therefore, we reasoned that inhibiting aerobic respiration by inducing systemic hypoxaemia would alleviate oxidative DNA damage, thereby inducing cardiomyocyte proliferation in adult mammals Here we report that, in mice, gradual exposure to severe systemic hypoxaemia, in which inspired oxygen is gradually decreased by 1% and maintained at 7% for 2 weeks, results in inhibition of oxidative metabolism, decreased reactive oxygen species production and oxidative DNA damage, and reactivation of cardiomyocyte mitosis Notably, we find that exposure to hypoxaemia 1 week after induction of myocardial infarction induces a robust regenerative response with decreased myocardial fibrosis and improvement of left ventricular systolic function Genetic fate-mapping analysis confirms that the newly formed myocardium is derived from pre-existing cardiomyocytes These results demonstrate that the endogenous regenerative properties of the adult mammalian heart can be reactivated by exposure to gradual systemic hypoxaemia, and highlight the potential therapeutic role of hypoxia in regenerative medicine
Karolinska University Hospital1, Karolinska Institutet2, Hospital of the University of Pennsylvania3, Great Ormond Street Hospital4, Brigham and Women's Hospital5, University of Kansas6, Mayo Clinic7, University of Pittsburgh8, Central Manchester University Hospitals NHS Foundation Trust9, University of Liverpool10, University of Debrecen11, University of Toronto12, University of Guadalajara13, University of Cambridge14, University of Tsukuba15, National Institutes of Health16, Tokyo Medical and Dental University17, Oregon State University18, Dalhousie University19, Peking University20, Duke University21, Oslo University Hospital22, New Generation University College23, Charles University in Prague24
TL;DR: To develop and validate new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIM) and their major subgroups.
Abstract: Objective
To develop and validate new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIM) and their major subgroups.
Methods
Candidate variables were assembled from published criteria and expert opinion using consensus methodology. Data were collected from 47 rheumatology, dermatology, neurology, and pediatric clinics worldwide. Several statistical methods were utilized to derive the classification criteria.
Results
Based on data from 976 IIM patients (74% adults; 26% children) and 624 non-IIM patients with mimicking conditions (82% adults; 18% children), new criteria were derived. Each item is assigned a weighted score. The total score corresponds to a probability of having IIM. Subclassification is performed using a classification tree. A probability cutoff of 55%, corresponding to a score of 5.5 (6.7 with muscle biopsy) “probable IIM,” had best sensitivity/specificity (87%/82% without biopsies, 93%/88% with biopsies) and is recommended as a minimum to classify a patient as having IIM. A probability of ≥90%, corresponding to a score of ≥7.5 (≥8.7 with muscle biopsy), corresponds to “definite IIM.” A probability of <50%, corresponding to a score of <5.3 (<6.5 with muscle biopsy), rules out IIM, leaving a probability of ≥50–<55% as “possible IIM.”
Conclusion
The European League Against Rheumatism/American College of Rheumatology (EULAR/ACR) classification criteria for IIM have been endorsed by international rheumatology, dermatology, neurology, and pediatric groups. They employ easily accessible and operationally defined elements, and have been partially validated. They allow classification of “definite,” “probable,” and “possible” IIM, in addition to the major subgroups of IIM, including juvenile IIM. They generally perform better than existing criteria.
TL;DR: This paper presents a short overview of the changes to the trigger and data acquisition systems during the first long shutdown of the LHC and shows the performance of the trigger system and its components based on the 2015 proton–proton collision data.
Abstract: During 2015 the ATLAS experiment recorded 3.8 fb(-1) of proton-proton collision data at a centre-of-mass energy of 13 TeV. The ATLAS trigger system is a crucial component of the experiment, respons ...
California Institute of Technology1, Agricultural Research Service2, University of Tsukuba3, University of Guelph4, University of Texas at Austin5, Princeton University6, Kuwait University7, University of Valencia8, University of Salamanca9, Agriculture and Agri-Food Canada10, University of Southern California11, European Academy of Bozen12, University of Grenoble13, Finnish Meteorological Institute14, National Autonomous University of Mexico15, University of Twente16, Comisión Nacional de Actividades Espaciales17, Vienna University of Technology18, Monash University19, Goddard Space Flight Center20, Massachusetts Institute of Technology21
TL;DR: The NASA Soil Moisture Active Passive (SMAP) mission has utilized a set of core validation sites as the primary methodology in assessing the soil moisture retrieval algorithm performance as mentioned in this paper.
AGH University of Science and Technology1, University of Kentucky2, Joint Institute for Nuclear Research3, Panjab University, Chandigarh4, Variable Energy Cyclotron Centre5, Stony Brook University6, Texas A&M University7, University of Tsukuba8, Brookhaven National Laboratory9, Tsinghua University10, Central China Normal University11, National Institute of Science Education and Research12, University of Houston13, University of Jammu14, University of Texas at Austin15, Czech Technical University in Prague16, Academy of Sciences of the Czech Republic17, Kent State University18, Rice University19, National Research Nuclear University MEPhI20, Lehigh University21, Yale University22, University of California, Davis23, Ohio State University24, University of Science and Technology of China25, Chinese Academy of Sciences26, Creighton University27, Lawrence Berkeley National Laboratory28, University of California, Berkeley29, Shandong University30, Pennsylvania State University31, Lamar University32, University of California, Los Angeles33, Wayne State University34, University of Illinois at Chicago35, Southern Connecticut State University36, Purdue University37
TL;DR: In this article, the authors present measurements of bulk properties of the matter produced in Au+Au collisions at sNN=7.7,11.5,19.6,27, and 39 GeV using identified hadrons from the STAR experiment in the Beam Energy Scan (BES) Program at the Relativistic Heavy Ion Collider (RHIC).
Abstract: © 2017 American Physical Society. We present measurements of bulk properties of the matter produced in Au+Au collisions at sNN=7.7,11.5,19.6,27, and 39 GeV using identified hadrons (π±, K±, p, and p) from the STAR experiment in the Beam Energy Scan (BES) Program at the Relativistic Heavy Ion Collider (RHIC). Midrapidity (|y| < 0.1) results for multiplicity densities dN/dy, average transverse momenta (pT), and particle ratios are presented. The chemical and kinetic freeze-out dynamics at these energies are discussed and presented as a function of collision centrality and energy. These results constitute the systematic measurements of bulk properties of matter formed in heavy-ion collisions over a broad range of energy (or baryon chemical potential) at RHIC.
TL;DR: In this paper, the authors showed that I2 vapour causes severe degradation of MAPbI3 (MA: CH3NH3+) perovskite, due to chemical chain reactions.
Abstract: Efficiencies of organic–inorganic lead halide perovskite solar cells (PSCs) have significantly increased in recent years, but instability issues impede their further development and application. Previous studies reported that volatile species (for example, iodine, I2) were generated when perovskites were subjected to moisture, oxygen, light illumination, applied electric field, and thermal stress (all of which are relevant to the operation of PSCs in practical applications). Here we show that I2 vapour causes severe degradation of MAPbI3 (MA: CH3NH3+) perovskite, due to chemical chain reactions. Furthermore, I2 vapour could also induce degradation of other iodide-based perovskites, such as FAPbI3 (FA: HC(NH2)2+) and FA0.8Cs0.2PbI3. The results reveal a universal degradation factor for iodide-based perovskite by I2. As the release of I2 is nearly inevitable during practical applications, this work suggests that MAPbI3 may not be suitable for long-term stable solar cells and it is imperative to develop other types of perovskite material to achieve stable PSCs. Extensive efforts are under way to tackle the degradation issue—one of the biggest challenges for the practical application of perovskite-based solar cells. Here the authors show that CH3NH3PbI3 and several other iodine-containing perovskites are inherently unstable due to decomposition caused by self-generated I2.
TL;DR: Topological cell clustering is established as a well-performing calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS and is exploited to apply a local energy calibration and corrections depending on the nature of the cluster.
Abstract: The reconstruction of the signal from hadrons and jets emerging from the proton–proton collisions at the Large Hadron Collider (LHC) and entering the ATLAS calorimeters is based on a three-dimensional topological clustering of individual calorimeter cell signals. The cluster formation follows cell signal-significance patterns generated by electromagnetic and hadronic showers. In this, the clustering algorithm implicitly performs a topological noise suppression by removing cells with insignificant signals which are not in close proximity to cells with significant signals. The resulting topological cell clusters have shape and location information, which is exploited to apply a local energy calibration and corrections depending on the nature of the cluster. Topological cell clustering is established as a well-performing calorimeter signal definition for jet and missing transverse momentum reconstruction in ATLAS.
University of London1, University of Queensland2, Monash University3, Potsdam Institute for Climate Impact Research4, Anhui Medical University5, Shanghai Jiao Tong University6, Queensland University of Technology7, University of São Paulo8, University of Ottawa9, University of Los Andes10, Fudan University11, Czech University of Life Sciences Prague12, Academy of Sciences of the Czech Republic13, Oulu University Hospital14, University of Oulu15, Dublin Institute of Technology16, Brunel University London17, Nagasaki University18, University of Tsukuba19, Kyoto University20, Seoul National University21, Spanish National Research Council22, University of Valencia23, Umeå University24, Lund University25, University of Basel26, Swiss Tropical and Public Health Institute27, National Taiwan University28, Harvard University29, Yale University30, Ho Chi Minh City Medicine and Pharmacy University31, Duy Tan University32, Public Health England33
TL;DR: In this article, the authors show that climate change can directly affect human health by varying exposure to non-optimal outdoor temperature, however, evidence on this direct impact at a global scale is limited.
TL;DR: The capacity of a metastable porphyrin supramolecular assembly to differentiate into nanofibre and nanosheet structures is reported on, finding that the obtained nanostructures are electronically distinct, which illustrates the pathway-dependent material properties.
Abstract: Molecular self-assembly under kinetic control is expected to yield nanostructures that are inaccessible through the spontaneous thermodynamic process. Moreover, time-dependent evolution, which is reminiscent of biomolecular systems, may occur under such out-of-equilibrium conditions, allowing the synthesis of supramolecular assemblies with enhanced complexities. Here we report on the capacity of a metastable porphyrin supramolecular assembly to differentiate into nanofibre and nanosheet structures. Mechanistic studies of the relationship between the molecular design and pathway complexity in the self-assembly unveiled the energy landscape that governs the unique kinetic behaviour. Based on this understanding, we could control the differentiation phenomena and achieve both one- and two-dimensional living supramolecular polymerization using an identical monomer. Furthermore, we found that the obtained nanostructures are electronically distinct, which illustrates the pathway-dependent material properties.
TL;DR: In this article, a search for new resonant and non-resonant high-mass phenomena in dielectron and dimuon fi nal states was conducted using 36 : 1 fb(-1) of proton-proton collision data.
Abstract: A search is conducted for new resonant and non-resonant high-mass phenomena in dielectron and dimuon fi nal states. The search uses 36 : 1 fb(-1) of proton-proton collision data, collected at root ...
TL;DR: This review seeks to discourage the indiscriminate use of “EPCs,” and instead proposes precise terminology based on defining cellular phenotype and function, which should become more precise in the light of strong scientific evidence.
Abstract: Endothelial progenitor cell (EPC) nomenclature remains ambiguous and there is a general lack of concordance in the stem cell field with many distinct cell subtypes continually grouped under the term “EPC.” It would be highly advantageous to agree on standards to confirm an endothelial progenitor phenotype and this should include detailed immunophenotyping, potency assays, and clear separation from hematopoietic angiogenic cells which are not endothelial progenitors. In this review, we seek to discourage the indiscriminate use of “EPCs,” and instead propose precise terminology based on defining cellular phenotype and function. Endothelial colony forming cells and myeloid angiogenic cells are examples of two distinct and well-defined cell types that have been considered EPCs because they both promote vascular repair, albeit by completely different mechanisms of action. It is acknowledged that scientific nomenclature should be a dynamic process driven by technological and conceptual advances; ergo the ongoing “EPC” nomenclature ought not to be permanent and should become more precise in the light of strong scientific evidence. This is especially important as these cells become recognized for their role in vascular repair in health and disease and, in some cases, progress toward use in cell therapy.
TL;DR: Significantly enriched in high-risk MDS, TP53, GATA2, KRAS, RUNX1, STAG2, ASXL1, ZRSR2 and TET2 mutations (type 2) had a weaker impact on sAML progression and overall survival than type-1 mutations.
Abstract: To elucidate differential roles of mutations in myelodysplastic syndromes (MDS), we investigated clonal dynamics using whole-exome and/or targeted sequencing of 699 patients, of whom 122 were analyzed longitudinally. Including the results from previous reports, we assessed a total of 2,250 patients for mutational enrichment patterns. During progression, the number of mutations, their diversity and clone sizes increased, with alterations frequently present in dominant clones with or without their sweeping previous clones. Enriched in secondary acute myeloid leukemia (sAML; in comparison to high-risk MDS), FLT3, PTPN11, WT1, IDH1, NPM1, IDH2 and NRAS mutations (type 1) tended to be newly acquired, and were associated with faster sAML progression and a shorter overall survival time. Significantly enriched in high-risk MDS (in comparison to low-risk MDS), TP53, GATA2, KRAS, RUNX1, STAG2, ASXL1, ZRSR2 and TET2 mutations (type 2) had a weaker impact on sAML progression and overall survival than type-1 mutations. The distinct roles of type-1 and type-2 mutations suggest their potential utility in disease monitoring.
Monash University1, University of Queensland2, University of London3, University of Ottawa4, Health Canada5, University of São Paulo6, Peking University7, Seoul National University8, Nagasaki University9, University of Tsukuba10, National Institutes of Health11, National Taiwan University12, Harvard University13, Yale University14, University of Hong Kong15, Brunel University London16, Dublin Institute of Technology17, Ho Chi Minh City Medicine and Pharmacy University18, Duy Tan University19, Queensland University of Technology20, Shanghai Jiao Tong University21
TL;DR: Results indicate that high temperatures create a substantial health burden, and effects of high temperatures over consecutive days are similar to what would be experienced if high temperature days occurred independently.
Abstract: Background: Few studies have examined variation in the associations between heat waves and mortality in an international context. Objectives: We aimed to systematically examine the impacts of heat ...
TL;DR: Targeted disruption of the genes encoding mitochondrial CARSs in mice and human cells shows that CARS have a crucial role in endogenous CysSSH production and suggests that these enzymes serve as the principal cysteine persulfide synthases in vivo.
Abstract: Cysteine hydropersulfide (CysSSH) occurs in abundant quantities in various organisms, yet little is known about its biosynthesis and physiological functions. Extensive persulfide formation is apparent in cysteine-containing proteins in Escherichia coli and mammalian cells and is believed to result from post-translational processes involving hydrogen sulfide-related chemistry. Here we demonstrate effective CysSSH synthesis from the substrate L-cysteine, a reaction catalyzed by prokaryotic and mammalian cysteinyl-tRNA synthetases (CARSs). Targeted disruption of the genes encoding mitochondrial CARSs in mice and human cells shows that CARSs have a crucial role in endogenous CysSSH production and suggests that these enzymes serve as the principal cysteine persulfide synthases in vivo. CARSs also catalyze co-translational cysteine polysulfidation and are involved in the regulation of mitochondrial biogenesis and bioenergetics. Investigating CARS-dependent persulfide production may thus clarify aberrant redox signaling in physiological and pathophysiological conditions, and suggest therapeutic targets based on oxidative stress and mitochondrial dysfunction.
TL;DR: In this article, the authors calculated the QCD equation of state using Taylor expansions that include contributions from up to sixth order in the baryon strangeness and electric charge chemical potentials.
Abstract: We calculated the QCD equation of state using Taylor expansions that include contributions from up to sixth order in the baryon strangeness and electric charge chemical potentials. Calculations have been performed with the Highly Improved Staggered Quark action in the temperature range T epsilon [135 MeV 330 MeV] using up to four different sets of lattice cutoffs corresponding to lattices of size N sigma 3x N tau with aspect ratio N sigma/N tau = 4 and N tau=6-16. The strange quark mass is tuned to its physical value and we use two strange to light quark mass ratios ms/ml = 20 and 27 which in the continuum limit correspond to a pion mass of about 160 and 140 MeV respectively. Sixth order results for Taylor expansion coefficients are used to estimate truncation errors of the fourth order expansion. We show that truncation errors are small for baryon chemical potentials less then twice the temperature (mu(B) 0.9.
TL;DR: This work combines the use of a quantum memory and high magnetic fields with a dedicated quantum sensor based on nitrogen vacancy centers in diamond to achieve chemical shift resolution in 1H and 19F NMR spectroscopy of 20-zeptoliter sample volumes.
Abstract: Nuclear magnetic resonance (NMR) spectroscopy is a key analytical technique in chemistry, biology, and medicine However, conventional NMR spectroscopy requires an at least nanoliter-sized sample volume to achieve sufficient signal We combined the use of a quantum memory and high magnetic fields with a dedicated quantum sensor based on nitrogen vacancy centers in diamond to achieve chemical shift resolution in 1H and 19F NMR spectroscopy of 20-zeptoliter sample volumes We demonstrate the application of NMR pulse sequences to achieve homonuclear decoupling and spin diffusion measurements The best measured NMR linewidth of a liquid sample was ~1 part per million, mainly limited by molecular diffusion To mitigate the influence of diffusion, we performed high-resolution solid-state NMR by applying homonuclear decoupling and achieved a 20-fold narrowing of the NMR linewidth
TL;DR: Li et al. as discussed by the authors proposed a reversible Li-CO 2 battery system based on co-oxidization of the resulting carbon and Li 2 CO 3 using a Ru catalyst, which provides strong theoretical underpinning for developing flexible routes for both CO 2 fixation and energy storage.
TL;DR: The first deep-learning-based approach for fully automatic inference using convolutional neural networks is proposed, which can reproduce not only natural tones without introducing visible noise but also the colors of saturated pixels.
Abstract: Inferring a high dynamic range (HDR) image from a single low dynamic range (LDR) input is an ill-posed problem where we must compensate lost data caused by under-/over-exposure and color quantization. To tackle this, we propose the first deep-learning-based approach for fully automatic inference using convolutional neural networks. Because a naive way of directly inferring a 32-bit HDR image from an 8-bit LDR image is intractable due to the difficulty of training, we take an indirect approach; the key idea of our method is to synthesize LDR images taken with different exposures (i.e., bracketed images) based on supervised learning, and then reconstruct an HDR image by merging them. By learning the relative changes of pixel values due to increased/decreased exposures using 3D deconvolutional networks, our method can reproduce not only natural tones without introducing visible noise but also the colors of saturated pixels. We demonstrate the effectiveness of our method by comparing our results not only with those of conventional methods but also with ground-truth HDR images.
TL;DR: Polarization sensitive (PS) OCT draws advantage from the fact that several materials and tissues can change the light's polarization state, adding an additional contrast channel and providing quantitative information.
Abstract: Optical coherence tomography (OCT) is now a well-established modality for high-resolution cross-sectional and three-dimensional imaging of transparent and translucent samples and tissues. Conventional, intensity based OCT, however, does not provide a tissue-specific contrast, causing an ambiguity with image interpretation in several cases. Polarization sensitive (PS) OCT draws advantage from the fact that several materials and tissues can change the light's polarization state, adding an additional contrast channel and providing quantitative information. In this paper, we review basic and advanced methods of PS-OCT and demonstrate its use in selected biomedical applications.