bluuebunny/crossref_metadata_2025_split huggingface dataset:
FOXK2amplification and overexpression promotes breast cancer development and chemoresistance
Authors: Yu Yang , Cao Wen-Ming , Cheng Feng , Shi Zhongcheng , Han Lili , Yi Jin-Ling , da Silva Edaise M , Dopeso Higinio , Chen Hui , Yang Jianhua , Wang Xiaosong , Zhang Chunchao , Zhang Hong 
Published: May 2023

AbstractActivation of oncogenes through DNA amplification/overexpression plays an important role in cancer initiation and progression. Chromosome 17 has many cancer-associated genetic anomalies. This cytogenetic anomaly is strongly associated with poor prognosis of breast cancer.FOXK2gene is located on 17q25 and encodes a transcriptional factor with a forkhead DNA binding domain. By integrative analysis of public genomic datasets of breast cancers, we found thatFOXK2is frequently amplified and overexpressed in breast cancers. FOXK2 overexpression in breast cancer patients is associated with poor overall survival.FOXK2knockdown significantly inhibits cell proliferation, invasion and metastasis, and anchorage-independent growth, as well as causes G0/G1 cell cycle arrest in breast cancer cells. Moreover, inhibition of FOXK2 expression sensitizes breast cancer cells to frontline anti-tumor chemotherapies. More importantly, co-overexpression of FOXK2 and PI3KCA with oncogenic mutations (E545K or H1047R) induces cellular transformation in non-tumorigenic MCF10A cells, suggesting thatFOXK2is an oncogene in breast cancer and is involved in PI3KCA-driven tumorigenesis. Our study identifiedCCNE2,PDK1, and Estrogen receptor alpha (ESR1) as direct transcriptional targets of FOXK2 in MCF-7 cells. Blocking CCNE2- and PDK1-mediated signaling by using small molecule inhibitors has synergistic anti-tumor effects in breast cancer cells. Furthermore, FOXK2 inhibition by gene knockdown or inhibitors for its transcriptional targets (CCNE2 and PDK1) in combination with PI3KCA inhibitor, Alpelisib, showed synergistic anti-tumor effects on breast cancer cells with PI3KCA oncogenic mutations. In summary, we provide compelling evidence that FOXK2 plays an oncogenic role in breast tumorigenesis and targeting FOXK2-mediated pathways may be a potential therapeutic strategy in breast cancer.
CARD-like domains mediate anti-phage defense in bacterial gasdermin systems
Authors: Wein Tanita , Johnson Alex G. , Millman Adi , Lange Katharina , Yirmiya Erez , Hadary Romi , Garb Jeremy , Steinruecke Felix , Hill Aidan B. , Kranzusch Philip J. , Sorek Rotem 
Published: May 2023

AbstractCaspase recruitment domains (CARDs) and pyrin domains are important facilitators of inflammasome activity and pyroptosis. Upon pathogen recognition by NLR proteins, CARDs recruit and activate caspases, which, in turn, activate gasdermin pore forming proteins to and induce pyroptotic cell death. Here we show that CARD-like domains are present in defense systems that protect bacteria against phage. The bacterial CARD is essential for protease-mediated activation of certain bacterial gasdermins, which promote cell death once phage infection is recognized. We further show that multiple anti-phage defense systems utilize CARD-like domains to activate a variety of cell death effectors. We find that these systems are triggered by a conserved immune evasion protein that phages use to overcome the bacterial defense system RexAB, demonstrating that phage proteins inhibiting one defense system can activate another. We also detect a phage protein with a predicted CARD-like structure that can inhibit the CARD-containing bacterial gasdermin system. Our results suggest that CARD domains represent an ancient component of innate immune systems conserved from bacteria to humans, and that CARD-dependent activation of gasdermins is conserved in organisms across the tree of life.
Biomolecular condensates of Chlorocatechol 1,2-Dioxygenase as enzymatic microreactors for the degradation of polycyclic aromatic hydrocarbons
Authors: Evangelista Nathan N. , Micheletto Mariana C. , Mendes Luis F. S. , Costa-Filho Antonio J. 
Published: May 2023

ABSTRACTPolycyclic aromatic hydrocarbons (PAHs) are molecules with two or more fused aromatic rings that occur naturally in the environment due to incomplete combustion of organic substances. However, the increased demand for fossil fuels in recent years has increased anthropogenic activity, contributing to the environmental concentration of PAHs. The enzyme chlorocatechol 1,2-dioxygenase fromPseudomonas putida(Pp 1,2-CCD) is responsible for the breakdown of the aromatic ring of catechol, making it an interesting player in bioremediation strategies. Pp 1,2-CCD can tolerate a broader range of substrates, including halogenated compounds, than other dioxygenases. Here, we report the construction of a chimera protein able to form biomolecular condensates with potential application in bioremediation. The chimera protein was built by conjugating Pp 1,2-CCD to low complex domains (LCDs) derived from the DEAD-box protein Dhh1. We showed that the chimera could undergo liquid-liquid phase separation (LLPS), forming a protein-rich liquid droplet under different conditions (variable protein and PEG8000 concentrations and pH values), in which the protein maintained its structure and main biophysical properties. The condensates were active against 4-chlorocatechol, showing that the chimera droplets preserved the enzymatic activity of the native protein. The possible application of these microreactors in bioremediation is discussed.
Spatial autocorrelation of the environment influences the patterns and genetics of local adaptation
Authors: Booker Tom R. 
Published: May 2023

AbstractEnvironmental heterogeneity can lead to spatially varying selection, which can, in turn, lead to local adaptation. Population genetic models have shown that the pattern of environmental variation in space can strongly influence the evolution of local adaptation. In particular, when environmental variation is highly autocorrelated in space local adaptation will more readily evolve. Despite this long-held prediction, the evolutionary genetic consequences of different patterns of environmental variation have not been thoroughly explored. In this study, simulations are used to model local adaptation to different patterns of environmental variation. The simulations confirm that local adaptation is expected to increase with the degree of spatial autocorrelation in the selective environment, but also show that highly heterogeneous environments are more likely to exhibit high variation in local adaptation, a result not previously described. Spatial autocorrelation in the environment also influences the evolution and genetic architecture of local adaptation, with different combinations of allele frequency and effect size arising under different patterns of environmental variation. These differences influence the ability to characterise the genetic basis of local adaptation in different environments. Finally, I analyse a large-scale provenance trial conducted on lodgepole pine and find suggestive evidence that spatially autocorrelated environmental variation leads to stronger local adaptation in natural populations of lodgepole pine. Overall, this work emphasizes the profound importance that the spatial pattern of selection can have on the evolution of local adaptation and how spatial autocorrelation should be considered when formulating hypotheses in ecological and genetic studies.Lay SummaryMany species exhibit local adaptation to environmental variation across their ranges. Theoretical population genetics predicts that the evolution of local adaptation and patterns of genetic variation underlying it will be influenced by the spatial pattern of variation across a species’ range. However, this prediction has not been thoroughly explored for cases of complex heterogeneous landscapes. In this paper, I analyse simulations and empirical data to characterise the effects that the spatial pattern of environmental variation can have on the evolution of local adaptation and the genetics underlying it. From these analyses, I show that the pattern of environmental variation influences the average level of local adaptation, variation in local adaptation as well as the genetics underlying this important phenomenon.
Alcohol inhibits sociability via serotonin inputs to the nucleus accumbens
Authors: Wang Ruixiang , Khan Kanza M. , Balasubramanian Nagalakshmi , James Thomas , Pushpavathi Selvakumar Govindhasamy , Kim David , Pierson Samantha , Wu Qi , Niciu Mark J. , Hefti Marco M. , Marcinkiewcz Catherine A. 
Published: May 2023

AbstractSocial interaction is a core component of motivational behavior that is perturbed across multiple neuropsychiatric disorders, including alcohol use disorder (AUD). Positive social bonds are neuroprotective and enhance recovery from stress, so reduced social interaction in AUD may delay recovery and lead to alcohol relapse. We report that chronic intermittent ethanol (CIE) induces social avoidance in a sex-dependent manner and is associated with hyperactivity of serotonin (5-HT) neurons in the dorsal raphe nucleus (DRN). While 5-HTDRNneurons are generally thought to enhance social behavior, recent evidence suggests that specific 5-HT pathways can be aversive. Using chemogenetic iDISCO, the nucleus accumbens (NAcc) was identified as one of 5 regions that were activated by 5-HTDRNstimulation. We then employed an array of molecular genetic tools in transgenic mice to show that 5-HTDRNinputs to NAcc dynorphin neurons drive social avoidance in male mice after CIE by activating 5-HT2Creceptors. NAcc dynorphin neurons also inhibit dopamine release during social interaction, reducing the motivational drive to engage with social partners. This study reveals that excessive serotonergic drive after chronic alcohol can promote social aversion by inhibiting accumbal dopamine release. Drugs that boost brain serotonin levels may be contraindicated for individuals with AUD.
The mediating effect of job satisfaction between inclusive leadership and commitment to change: evidence from Brazil and Spain
Authors: Gil Alfonso J. , Mosegui Gabriela , Zenezi Moreira Rosana , Eguizabal Mauro J. 
Published: May 2023

PurposeIn the current context of change, leadership is significant in developing employees' commitment to change. In this work, the authors analysed the relationship between inclusive leadership and commitment to change and the mediating effect of job satisfaction between inclusive leadership and commitment to change.Design/methodology/approachThrough a questionnaire, 256 employees from Brazil and Spain were interviewed. The hypotheses were tested through structural equations.FindingsThe results indicated that inclusive leadership is related to individuals' commitment to change and that job satisfaction mediates the relationship between leadership and commitment to change.Originality/valueThis research contributes to the literature on organisational change behaviour and the relationship between two critical contents – leadership and commitment to change – and points out the role of job satisfaction in this relationship. In addition, this work incorporates the variable country culture into the analysis model; however, it is not found to be statistically significant.
Crisis management process for project-based organizations
Authors: Iftikhar Rehab , Majeed Mehwish , Drouin Nathalie 
Published: May 2023

PurposeThe purpose of this paper is to study the crisis management process for project-based organizations (PBOs) by developing a comprehensive model and propositions.Design/methodology/approachThis paper is based on a conceptual study. A literature review is considered a primary source for studying contemporary research, including 171 publications in total, which embody qualitative, quantitative, conceptual and theoretical studies. For data analysis, content analysis is used, which is comprised of descriptive and thematic analysis.FindingsThis study identifies five imperative elements of crisis management for PBOs which include (1) sense-making (information gathering and crisis interpretation), (2) decision-making (accurate and timely decision), (3) response (reactive response), (4) outcome (success/failure) and (5) learning. Based on these findings, this study proposes an integrative model of the interplay between sense-making, decision-making, response, outcome and learning. Furthermore, the findings lead to propositions for each of the elements. The paper contributes to the literature on dynamic capability theory.Originality/valueThis paper explores the crisis management process for PBOs. The proposed model deepens the understanding of the practices and processes of project-based crisis management.
Legitimacy versus efficiency: implementation of in-person work in Japanese companies during the COVID-19 pandemic
Authors: Hara Yoritoshi , Iwashita Hitoshi 
Published: May 2023

Purpose
This study aims to examine how companies persuaded their employees to be present at offices during the COVID-19 pandemic and how remote and non-remote work practices affected employee performance.

Design/methodology/approach
Firm strategies are assumed to follow the principles of legitimacy and efficiency. However, these principles are often contradictory and incompatible. This study explored how companies legitimized non-remote work during the pandemic in Japan, and how in-person work practices affected individual employee productivity. The authors conducted a survey in the country, and the collected data was quantitatively analyzed.

Findings
On the basis of our empirical study on institutional work providing rationales for maintaining existing business practices, the authors found that Japanese companies often used institutional logics that included the inevitability of employees’ obedience to company policy, the lack of employees’ digital resources at home and the necessity of face-to-face customer dealing to legitimize their non-adoption of telework, even amid the emergency. The findings also indicate that the adoption of in-person work was negatively related to individual employee performance.

Originality/value
The current study aims to make a theoretical contribution to the literature on institutional maintenance and institutional work, which, till now, has only focused on institutional change rather than institutional maintenance. Second, few studies have empirically investigated the contradiction between legitimacy and efficiency, although the literature on organizational legitimacy assumes that individuals and organizations are not always rational.
Investigating the role of apparel supplier satisfaction in developing a collaborative buyer–supplier relationship: a power-dependency perspective
Authors: Wu Huicheng (Jeff) , Hodges Nancy Nelson , Su Jin , Seo Sukyung 
Published: May 2023

PurposeThe purpose of this study was to investigate the affective and cognitive dimensions of satisfaction that impact the buyer-supplier relationship (BSR) from the supplier's perspective and to consider satisfaction within the context of power-dependency theory.Design/methodology/approachQualitative in-depth interviews were conducted with 20 Chinese apparel supply professionals who regularly interact with apparel buyers. Audio or video interviews were conducted via WeChat (the most popular social media platform in China).FindingsA thematic analysis of the interview data revealed that both affective and cognitive dimensions of satisfaction impact the BSR. A model of supplier affective and cognitive satisfaction in a collaborative BSR was developed to illustrate the connections between the two dimensions.Originality/valuesDue to intense competition in the market, supplier satisfaction is essential for building relationships in the apparel industry. Existing studies have focused on satisfaction from the perspective of the buyer rather than the supplier because in a BSR, the buyer tends to hold more power. Moreover, research has primarily considered cognitive evaluations of satisfaction with the BSR. This study offers new insight on both cognitive and affective satisfaction from the perspective of suppliers within the context of power-dependency theory.
An empirical study on supply chain agility and disruption mitigation performance of U.S. fashion retailers: knowledge management capability perspective
Authors: Rana Md. Rafiqul Islam , Ha-Brookshire Jung E. 
Published: May 2023

PurposeThis study investigates the relationships between knowledge management capabilities (KMC), supply chain agility (SCA) and disruption mitigation performance (DMP) in the U.S. fashion retail industry (FRI) during turbulent times, such as a pandemic.Design/methodology/approachAn online survey was used to collect 320 responses from U.S. fashion retail professionals. Structural equation modeling was used for analysis.FindingsAmong the two KMCs, knowledge infrastructure capabilities act as enabling factors for knowledge process capabilities (KPC) in U.S. fashion retail settings. The KPC were found to be positively associated with SCA, and SCA was positively associated with both pre- and post-DMP of U.S. fashion retailers.Originality/valueThis study adds to the literature on KMC, SCA and DMP from the FRI context and illustrates the impact of effective organizational knowledge management for supply chain (SC) disruption mitigation through agility in a volatile market.Practical implicationsThe results inform fashion retail companies on how to transform their organizational dimensions through effective management of knowledge, i.e. digital escalation and innovation, to establish an agile and sustainable SC to mitigate future market disruptions.
Forecasting nonlinear dependency between cryptocurrencies and foreign exchange markets using dynamic copula: evidence from GAS models
Authors: Mili Mehdi , Bouteska Ahmed 
Published: May 2023

PurposeThis paper examines and forecasts correlations between cryptocurrencies and major fiat currencies using Generalized Autoregressive Score (GAS) time-varying copulas. The authors examine to which extent the multivariate GAS method captures the volatility persistence and the nonlinear interaction effects between cryptocurrencies and major fiat currencies.Design/methodology/approachThe authors model tail dependence between conventional currencies and Bitcoin utilizing a Glosten-Jagannathan-Runkle Generalized Autoregressive Conditional Heteroscedastic model (GJR-GARCH)-GAS copula specification, which allows detecting the leptokurtic feature and clustering effects of currency returns distribution.FindingsThe authors' results show evidence of multiple tail dependence regimes, implying the unsuitability of applying static models to entirely describe the extreme dependence between Bitcoin and fiat currencies. Compared to the most common constant copulas, the authors find that the multivariate GAS copulas better forecast the volatility and dependency between cryptocurrencies and foreign exchange markets. Furthermore, based on the value-at-risk (VaR) and expected shortfall (ES) analyses, the authors show that the multivariate GAS models produce accurate risk measures by adding cryptocurrencies to a portfolio of fiat currencies.Originality/valueThis paper has two main contributions to the existing literature on cryptocurrencies. First, the authors empirically examine the tail dependence structure between common conventional currencies and bitcoin using GJR-GARCH GAS copulas which consider the leptokurtic feature and clustering effects of currency returns distribution. Second, by modeling VaR and ES, the authors test the implication of using time-varying models on the performance of currency portfolios, including cryptocurrencies.
Providing a framework for the reuse of research data based on the development dynamic framework of United Nations Development Program (UNDP)
Authors: Soleimani Ameneh , Fahim Nia Fatimah , Naghshineh Nader , Soleimani Nejad Adel 
Published: May 2023

PurposeThe present research is aimed at presenting a framework for the reuse of research data in Iran through applying the United Nations Development Program (UNDP).Design/methodology/approachThe research at hand has a mixed methods design. In the qualitative section, the authors first carried out meta-synthesis and then an interview was conducted. Likewise, in the quantitative section, the reliability of the recommended framework was measured through carrying out a survey. Finally, the framework for data reuse was presented in five dimensions, namely human, organizational, policies and laws, technical, implementation and analysis.FindingsThrough structural equation modeling, the fitness of the framework was confirmed, and it was found out that the dimensions of policies, human and organizational played more prominent roles in the explanation of the framework in comparison with the other two dimensions.Originality/valueResearch studies in the area of data reuse have been conducted either quantitatively or qualitatively and in most of them interviews or questionnaires were used as tools for collecting data; however, due to the nature of this area and its relatively new literature in Iran, it is necessary to use mixed methods in order to be able to arrive at a proper understanding of this concept using both quantitative and qualitative approaches.
Heuristic-driven biases as mental shortcuts in investment management activities: a qualitative study
Authors: Ahmad Maqsood , Wu Qiang 
Published: May 2023

Purpose
This study aims to use a qualitative approach to explore and clarify the mechanism by which heuristic-driven biases influence the decisions and performance of individual investors actively trading on the Pakistan Stock Exchange (PSX). It also aims to identify how to overcome the negative effect of heuristic-driven biases, so that finance practitioners can avoid the expensive errors which they cause.

Design/methodology/approach
This study adopts an interpretative approach. Qualitative data was collected in semistructured interviews, in which the target population was asked open-ended questions. The sample consists of five brokers and/or investment strategists/advisors who maintain investors’ accounts or provide investment advice to investors on the PSX, who were selected on a convenient basis. The researchers analyzed the interview data thematically.

Findings
The results confirm that investors often use heuristics, causing several heuristic-driven biases when trading on the stock market, specifically, reliance on recognition-based heuristics, namely, alphabetical ordering of firm names, name memorability and name fluency, as well as cognitive heuristics, such as herding behavior, disposition effect, anchoring and adjustment, repetitiveness, overconfidence and availability biases. These lead investors to make suboptimal decisions relating to their investment management activities. Due to these heuristic-driven biases, investors trade excessively in the stock market, and their investment performance is adversely affected.

Originality/value
This study provides a practical framework to explore and clarify the mechanism by which heuristic-driven biases influence investment management activities. To the best of authors’ knowledge, the current study is the first to focus on links between heuristic-driven biases, investment decisions and performance using a qualitative approach. Furthermore, with the help of a qualitative approach, the investigators also highlight some factors causing an increased use of heuristic variables by investors and discuss practical approaches to overcoming the negative effects of heuristics factors, so that finance practitioners can avoid repeating the expensive errors which they cause, which also differentiates this study from others.