bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of Phosphotyrosine-Mutant Desmin in Human Pancreatic Cancer
Authors: Kendrick Nancy , Darie Costel C. , Hoelter Matt , Koll Andrew , Johansen Jon 
Published: October 2024

AbstractPancreatic ductal adenocarcinoma (PDAC), a deadly cancer with a 5-year survival rate of ∼12%, is characterized by frequently mutated KRAS, early metastasis, and extensive desmoplasia. The latter, a formation of dense fibrotic tissue generated by pancreatic stellar cells (PSC) and tumor cells, makes up to 80% of the tumor mass and leads to treatment failure. To search for novel protein biomarkers for actionable tyrosine kinases, we used a combination of two orthogonal protein analysis methods, western blotting (WB) and mass spectrometry (MS). That is, we used 1D/2D phosphotyrosine (pTyr) WB in combination with nano liquid chromatography tandem mass spectrometry (NanoLC-MS/MS) to analyze homogenates of 6 PDAC tumor samples and 5 normal adjacent tissue controls. Surprisingly, we found a novel, abundant 55 kDa pTyr-protein in 2/6 tumor samples and identified it as mutated pTyr-desmin. Further proteomics analysis of the purified protein cut from multiple Coomassie-stained 2D gels revealed that the mutant amino acid, tyrosine (D399Y), is phosphorylated (pTyr). A possible role for mutant pTyr-desmin in PDAC metastasis is discussed, along with peptide inhibitor drugs.
Global transcription factors analyses reveal hierarchy and synergism of regulatory networks and master virulence regulators inPseudomonas aeruginosa
Authors: Huang Jiadai , Sun Yue , Chen Fang , Li Shumin , Han Liangliang , Li Jingwei , He Zhe , Hua Canfeng , Yao Chunyan , Li Tianmin , Lu Beifang , Chang Yung-Fu , Deng Xin 
Published: October 2024

AbstractThe transcription factor regulatory network inPseudomonas aeruginosais complex and involves multiple regulators that respond to various environmental signals and physiological cues by regulating gene expression. However, the biological functions of at least half of its 373 putative transcription factors (TFs) remain uncharacterised. Herein, chromatin immunoprecipitation sequencing (ChIP-seq) was used to investigate the binding sites of 172 TFs in theP. aeruginosaPAO1 strain. The results revealed 81,009 significant binding peaks in the genome, more than half of which were located in the promoter regions. To further decode the diverse regulatory relationships among TFs, a hierarchical network was assembled into three levels: top, middle, and bottom. Thirteen ternary regulatory motifs revealed flexible relationships among TFs in small hubs, and a comprehensive co-association atlas was established, showing the enrichment of seven core associated clusters. Twenty-four TFs were identified as the master regulators of virulence-related pathways. The pan-genome analysis revealed the conservation and evolution of TFs inP. aeruginosacomplex and other species. A Web-based database combining existing and new data from ChIP-seq and the high-throughput systematic evolution of ligands by exponential enrichment was established for searching TF-binding sites. This study provides important insights into the pathogenic mechanisms ofP. aeruginosaand related bacteria and is expected to contribute to the development of effective therapies for infectious diseases caused by this pathogen.
Multiplexed single-cell imaging reveals diverging subpopulations with distinct senescence phenotypes during long-term senescence induction
Authors: Sessions Garrett A. , Loops Madeline V. , Diekman Brian O. , Purvis Jeremy E. 
Published: October 2024

AbstractCellular senescence is a phenotypic state that contributes to the progression of age-related disease through secretion of pro-inflammatory factors known as the senescence associated secretory phenotype (SASP). Understanding the process by which healthy cells become senescent and develop SASP factors is critical for improving the identification of senescent cells and, ultimately, understanding tissue dysfunction. Here, we reveal how the duration of cellular stress modulates the SASP in distinct subpopulations of senescent cells. We used multiplex, single-cell imaging to build a proteomic map of senescence induction in human epithelial cells induced to senescence over the course of 31 days. We map how the expression of SASP proteins increases alongside other known senescence markers such as p53, p21, and p16INK4a. The aggregated population of cells responded to etoposide with an accumulation of stress response factors over the first 11 days, followed by a plateau in most proteins. At the single-cell level, however, we identified two distinct senescence cell populations, one defined primarily by larger nuclear area and the second by higher protein concentrations. Trajectory inference suggested that cells took one of two discrete molecular paths from unperturbed healthy cells, through a common transitional subpopulation, and ending at the discrete terminal senescence phenotypes. Our results underscore the importance of using single-cell proteomics to identify the mechanistic pathways governing the transition from senescence induction to a mature state of senescence characterized by the SASP.
The Prevalence of Killer Yeasts in the Gardens of Fungus-Growing Ants and the Discovery of Novel Killer Toxin named Ksino
Authors: Bizarria Rodolfo , Creagh Jack W. , Badigian Tanner J. , Corrêa dos Santos Renato A. , Coss Sarah A. , Tekle Rim T. , Fredstrom Noah , Ytreberg F. Marty , Dunham Maitreya J. , Rodrigues Andre , Rowley Paul A. 
Published: October 2024

AbstractKiller toxins are proteinaceous antifungal molecules produced by yeasts, with activity against a wide range of human and plant pathogenic fungi. Fungus gardens of attine ants in Brazil were surveyed to determine the presence of killer toxin-producing yeasts and to define their antifungal activities and ecological importance. Our results indicate that up to 46% of yeasts isolated from specific fungal gardens can be killer yeasts, with an overall prevalence of 17% across all strains tested. Killer yeasts were less likely to inhibit the growth of yeasts isolated from the same environment but more effective at inhibiting yeast isolated from other environments, supporting a role for killer yeasts in shaping community composition. All killer yeasts harbored genome-encoded killer toxins due to the lack of cytoplasmic toxin-encoding elements (i.e., double-stranded RNA satellites and linear double-stranded DNAs). Of all the killer yeasts identified, an isolate ofCandida sinolaborantiumshowed a broad spectrum of antifungal activities against 57% of yeast strains tested for toxin susceptibility. The complete genome sequence ofC. sinolaborantiumidentified a new killer toxin, Ksino, with primary and tertiary structure homology to theSaccharomyces cerevisiaekiller toxin named Klus. Genome-encoded homologs of Ksino were found in yeast strains ofSaccharomycetesandPichiomycetes, as well as other species of Ascomycota and Basidiomycota filamentous fungi. This demonstrates that killer yeasts can be widespread in attine ant fungus gardens, possibly influencing fungal community composition and the importance of these complex microbial communities for discovering novel antifungal molecules.ImportanceAttine ants perform essential ecosystem services through the harvesting of substrates for fungiculture. Cultured fungi are a food source for attine ants. Characterizing antifungal toxin-producing yeasts (killer yeasts) is vital to understanding how they might protect gardens from invasion by unwanted fungal species. This study describes a new toxin named Ksino from the yeastCandida sinolaborantium, a member of a new group of putative toxins found across many different species of fungi. This work supports the role of killer yeasts in the ecology of fungicultures and competition between fungi. The observed high prevalence of killer yeasts in fungal gardens also enables the discovery of novel antifungal molecules with the potential to be applied against disease-causing fungi.
TGF-β induces an atypical EMT to evade immune mechanosurveillance in lung adenocarcinoma dormant metastasis
Authors: Wang Zhenghan , Elbanna Yassmin , Godet Inês , Peters Lila , Lampe George , Chen Yanyan , Xavier Joao , Huse Morgan , Massagué Joan 
Published: October 2024

AbstractThe heterogeneity of epithelial-to-mesenchymal transition (EMT) programs is manifest in the diverse EMT-like phenotypes occurring during tumor progression. However, little is known about the mechanistic basis and functional role of specific forms of EMT in cancer. Here we address this question in lung adenocarcinoma (LUAD) cells that enter a dormancy period in response to TGF-β upon disseminating to distant sites. LUAD cells with the capacity to enter dormancy are characterized by expression of SOX2 and NKX2-1 primitive progenitor markers. In these cells, TGF-β induces growth inhibition accompanied by a full EMT response that subsequently transitions into an atypical mesenchymal state of round morphology and lacking actin stress fibers. TGF-β induces this transition by driving the expression of the actin-depolymerizing factor gelsolin, which changes a migratory, stress fiber-rich mesenchymal phenotype into a cortical actin-rich, spheroidal state. This transition lowers the biomechanical stiffness of metastatic progenitors, protecting them from killing by mechanosensitive cytotoxic T lymphocytes (CTLs) and natural killer (NK) cells. Inhibiting this actin depolymerization process clears tissues of dormant metastatic cells. Thus, LUAD primitive progenitors undergo an atypical EMT as part of a strategy to evade immune-mediated elimination during dormancy. Our results provide a mechanistic basis and functional role of this atypical EMT response of LUAD metastatic progenitors and further illuminate the role of TGF-β as a crucial driver of immune evasive metastatic dormancy.
Optimal network sizes for most robust Turing patterns
Authors: Ahmad Shaberi Hazlam S. , Kappassov Aibek , Matas-Gil Antonio , Endres Robert G. 
Published: October 2024

AbstractMany cellular patterns exhibit a reaction-diffusion component, suggesting that Turing instability may contribute to pattern formation. However, biological gene-regulatory pathways are more complex than simple Turing activator-inhibitor models and generally do not require fine-tuning of parameters as dictated by the Turing conditions. To address these issues, we employ random matrix theory to analyze the Jacobian matrices of larger networks with robust statistical properties. Our analysis reveals that Turing patterns are more likely to occur by chance than previously thought and that the most robust Turing networks have an optimal size, surprisingly consisting only of a handful of molecular species, thus significantly increasing their identifiability in biological systems. This optimal size emerges from a tradeoff between the highest stability in small networks and the greatest instability with diffusion in large networks. Furthermore, we find that with multiple immobile nodes, differential diffusion ceases to be important for Turing patterns. Our findings may inform future synthetic biology approaches and provide insights into bridging the gap to complex developmental pathways.
Searching for heavy neutral leptons at a future muon collider
Authors: Kwok Tsz Hong , Li Lingfeng , Liu Tao , Rock Ariel 
Published: October 2024

As the planning stages for a high energy muon collider enter a more concrete era, an important question arises as to what new physics could be uncovered. A TeV-scale muon collider is also a vector boson fusion (VBF) factory with a very clean background, and as such it is a promising environment to look for new physics that couples to the electroweak (EW) sector. In this paper, we explore the ability of a future TeV-scale muon collider to search for Majorana and Dirac heavy neutral leptons (HNLs) produced via EW bosons. Employing a model-independent, conservative approach, we present an estimation of the production and decay rate of HNLs over a mass range between 200 GeV and 9.5 TeV in two benchmark collider proposals with s=3, 10 TeV, as well as an estimation of the dominant Standard Model (SM) background. We find that exclusion limits for the mixing between the HNLs and SM neutrinos can be as low as O(10−6). Additionally, we demonstrate that a TeV-scale muon collider allows for the ability to discriminate between Majorana and Dirac type HNLs for a large range of mixing values.

Published by the American Physical Society
2024
How does brand authenticity influence brand loyalty? Exploring the roles of brand attachment and brand trust
Authors: Deng Yiran , Wang Xianliang , Li Dandan 
Published: October 2024

PurposeThe study aims to delve into the interactive relationships among brand authenticity, brand attachment, brand trust and brand loyalty using the ERC authenticity framework, exploring the potential mechanisms and different configurations affecting brand loyalty through brand authenticity.Design/methodology/approachAbout 446 valid samples were collected through an online survey of Chinese consumers of international sports brands. Structural equation modeling (SEM) and fuzzy set qualitative comparative analysis (fsQCA) were employed to test the research hypotheses.FindingsSEM results indicate significant positive correlations among brand true-to-ideal authenticity, true-to-fact authenticity and true-to-self authenticity. All dimensions of brand authenticity exert notable positive impacts on brand attachment, brand trust and brand loyalty. Brand true-to-ideal authenticity, true-to-fact authenticity and true-to-self authenticity not only directly influence consumer brand loyalty but also indirectly affect it through brand attachment and brand trust; fsQCA results reveal five heterogeneous configurations to predict brand loyalty.Originality/valueThis study not only uses SEM to validate the structural relationships among the three dimensions of brand authenticity and their linear relationships with brand attachment, brand trust and brand loyalty but also uses fsQCA to identify nonlinear relationships between concepts. It extends complexity theory to the research field of brand authenticity–brand loyalty. Furthermore, based on the research results, this study provides management suggestions for brand managers and marketers.
Get ready: disaster preparedness and response for people with chronic illnesses living in hazard-prone Petone, Aotearoa New Zealand
Authors: Kearns Nardia , Blake Denise , Parton Chloe 
Published: October 2024

PurposeThe purpose of this research is to understand how people living with chronic illness understand their healthcare needs, particularly as they can be disrupted by natural hazards events (e.g. earthquakes, flooding and landslides), which can result in chronic health conditions becoming acute. Research has shown that, because of such disruption, people with chronic illness face the greatest risk of adverse health outcomes during a disaster, placing significant demand on healthcare systems.Design/methodology/approachThe research draws on a narrative analysis of in-depth, semi-structured interviews with eight people who have a chronic illness and live in a hazard-prone location, namely Petone, Lower Hutt, Aotearoa New Zealand.FindingsTwo major narrative themes were identified: “Social Capital”, which included the three subthemes of community, social connection and support and family and friends. Tellers also experienced a strong sense of “Independence”, as demonstrated through seven subthemes that included declaration, defiance, rules, experience, acceptance, responsibility, self-surveillance and self-management.Practical implicationsPractice output from this research includes the development of fit for purpose emergency management policies and other educational resources to ensure equity, access and choice for people with a chronic illness and their communities.Social implicationsThis research produces in-depth knowledge and insight into the preparedness and response needs of people who live with a chronic illness. This is an under-research area in disaster management in Aotearoa New Zealand.Originality/valueRoutine medical treatment for people living with chronic illness can be disrupted by natural hazard events (e.g. earthquakes, flooding and landslides), which can result in chronic health conditions becoming acute. Research has shown that, because of such disruption, the chronically ill face the greatest risk of adverse health outcomes during a disaster, placing significant demand on healthcare. This research investigates how people living with chronic illness experience disaster preparedness and response while residing in a hazard-prone location, namely Petone, Lower Hutt, Aotearoa New Zealand. The study argues that it is imperative to acknowledge the experiences of people with chronic illness as they provide specific insights into their needs during a disaster.
Coordinated strategy for path tracking and dynamic stability considering extreme obstacle avoidance in distributed drive electric vehicles
Authors: Zhou Sheng , Liu Fei , Weng Xiaofeng , Mai Jiacheng , Feng Shaoxiang 
Published: October 2024

PurposeThis research aims to investigate the trajectory tracking problem for a four-wheel independent drive autonomous vehicle (4WID) and propose an integrated, coordinated control strategy to address the mutual interference between trajectory tracking and stability control in extreme cases.Design/methodology/approachThe authors establish an adaptive preview model that modifies the preview distance based on vehicle speed. They utilize a three-degrees-of-freedom vehicle model and employ model predictive control to calculate the necessary front wheel angle for trajectory tracking. In terms of longitudinal control, a longitudinal coordinated control mechanism is established to achieve the two conflicting objectives of trajectory tracking accuracy and dynamic stability through early deceleration. A stability controller based on sliding mode control (SMC) is designed, considering tire constraints and tracking the optimal yaw angle and sideslip angle. Furthermore, a lateral coordinated control strategy is developed, considering the weight coefficient of stability control, and the yaw moment is calculated and distributed based on the vehicle torque requirements.FindingsThe proposed integrated, coordinated control strategy successfully addresses the mutual interference between trajectory tracking and stability control in extreme cases for the 4WID vehicle. The strategy achieves trajectory tracking accuracy, dynamic stability and reduced energy consumption while taking into account tire constraints.Originality/valueWe have proposed a cooperative control strategy for the trajectory tracking problem of autonomous driving vehicles. This strategy is different from previous methods in that we have taken into account the integrated dynamic control in both longitudinal and lateral directions, balancing the conflicting control requirements and reducing energy consumption, improving trajectory tracking accuracy and vehicle dynamic stability. We have verified the feasibility of this strategy through joint simulation under different driving conditions.
Role of workforce analytics in fulfillment experience of employees through work volition
Authors: Asadullah Muhammad Ali , Malik Ayesha , Haq Muhammad Zia Ul , Khalifa Ali Haj 
Published: October 2024

Purpose
Labor process theory explains that employers prefer technology and systems over employees for efficiency gains. However, the mechanisms explaining the influence of technology and systems on different work-related employee outcomes are still a question mark. The purpose of this study is to test a mediation mechanism explaining how workforce analytics influence the work fulfillment experience of employees through work volition.

Design/methodology/approach
This study collected dyadic data from 55 HR managers and 350 employees serving in 55 different subsidiaries of Multinational Corporations in Pakistan.

Findings
The statistical results demonstrate that workforce analytics negatively affect fulfillment at work. However, work volition may reduce the negative relationship between workforce analytics and fulfillment at work. This study also found a significant but negative relationship between work volition and fulfillment at work.

Originality/value
This study found that integrating the use of workforce analytics with the work volition of employees is critical for positive employee outcomes.
The utility of smart government services apps solutions in the post-pandemic era
Authors: Rehman Shafique Ur , Qatawneh Nour , Al-Okaily Aws , Al-Okaily Manaf , Shiyyab Fadi Shehab , Alsharairi Malek , Masa’deh Ra’ed , Bani Mohmmad Ashraf 
Published: October 2024

Purpose
The main purpose of this study is to determine the antecedent factors of smart government service apps intention and its impact on actual use by extending the unified theory of acceptance and use of technology (UTAUT) in the Jordanian context.

Design/methodology/approach
To achieve the main purpose, a quantitative method was used to test collected data, and hypotheses testing through using statistical package for social sciences (SPSS) and smart partial least squares software.

Findings
The findings indicate that social media advertising has a positive effect on both social influence and peer influence. Furthermore, it demonstrated a significant effect of social influence on performance expectancy. In addition, there is a direct correlation between the government capacity, effort expectancy, facilitating conditions and the intention to use e-government services. Lastly, the results mainly show that the actual use of e-government services is significantly and positively influenced by intention and self-isolation. Next, as expected, self-isolation moderated the relationship between intention to use and actual use of e-government services via the Sanad application, and hence the related hypothesis was supported.

Originality/value
This study provides practical recommendations for the policy-makers in the Jordanian e-government and Ministry of Digital Economy and Entrepreneurship (MoDEE) in Jordan.
You say you can, but can you? The impact of entrepreneurship education on unwarranted and gendered entrepreneurial self-efficacy - a calibration study
Authors: Van Ewijk Anne Rienke 
Published: October 2024

PurposeEntrepreneurial self-efficacy (ESE) has a dark side largely ignored in the field of entrepreneurship education. Research in educational psychology indicates that self-efficacy is prone to misjudgment, with novice learners often displaying overconfidence. Furthermore, this misjudgment is gendered; studies suggest that men are more likely to display overconfidence and less likely to correct erroneous self-assessments. However, realistic self-assessments are essential for effective learning strategies, pivotal for performance in the ambiguous entrepreneurial context. Therefore, this study explores whether entrepreneurship education helps mitigate overconfidence, and if this impact varies by gender.Design/methodology/approachCommon in educational psychology, but new in the field of entrepreneurship education, a calibration design captures discrepancies between perceived and actual performance. Data from before and after an introductory undergraduate entrepreneurship course (N = 103) inform descriptive analyses, statistical comparison tests and calibration plots.FindingsAs expected, nearly all novice students showed significant overconfidence. Curiously, gender difference was only significant at the end of the course, as overconfidence had decreased among female students and increased among male students.Originality/valueThe paper advocates a more nuanced stance toward ESE, and introduces ESE accuracy as a more fitting measure of entrepreneurial overconfidence. The findings flag the common use of self-perception as a proxy for actual competence, and evoke new research avenues on (gender differences in) learning motivations of aspiring entrepreneurs. Finally, the study shares guidance for entrepreneurship educators on fostering a “healthier” level of self-efficacy for better entrepreneurial learning.