bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of water deficit on single grapevine berry ripening
Authors: Shi Mengyao , Savoi Stefania , Simonneau Thierry , Doligez Agnès , Pantin Florent , Torregrosa Laurent , Romieu Charles 
Published: September 2023

AbstractThe effect of water deficit on grapevine fruit ripening has most often been addressed under the assumption that individual berries behave identically to their blend in the future harvest, both kinetically and metabolically. However, mixing unsynchronized berries, whose water and sucrose import pathways critically change according to their own developmental stages, intrinsically blurs the physiological and phenological effects of stress. We investigated the consequences of water deprivation on berry growth and primary metabolites content (glucose, fructose, tartaric and malic acids) on sixteen genetically distant genotypes ofVitis viniferaand fungus-tolerant hybrids submitted to 10 watering regimes, from well-watered to partial leaf shedding. Then, six genotypes were selected for comprehensive single berry analyses. Own-rooted potted plants bearing berries at the late herbaceous plateau stage were subjected to the different water treatments for four weeks in a greenhouse with automated regulation of soil water content. Berry and cluster growth were monitored by image analysis, before performing a final destructive sampling to determine berry weight and composition. Grape phenology was highly dependent on water availability. In some cultivars, ripening was considerably delayed or even prevented under well-watered conditions. These cultivars required an intermediate water deficit to trigger the second berry growth period along with sugar accumulation and malate breakdown, typical of the ripening process. Ripening still occurred in all genotypes upon severe water deprivation, although sugar accumulation and concentration were dramatically impaired, and the second growth period was annihilated or even replaced by shrivelling. Water deficit increased malate breakdown, uncoupling it from sugar accumulation. Single berry analyses suggest that although asynchronicity in berry ripening was reduced upon stress, individual fruits within the same cluster may undergo heterogeneous water budgets, expansion or shrivelling.
Estradiol propionate reduction of nuclear size in prostate cancer lines lacking DHRS7 suggests DHRS7 absence as a biomarker for the effectiveness of estrogen therapy
Authors: Rizzotto Andrea , Tollis Sylvain , Pham Nhan T. , Zheng Yijing , Abad Maria Alba , Wildenhain Jan , Jeyaprakash A. Arockia , Auer Manfred , Tyers Mike , Schirmer Eric C. 
Published: September 2023

ABSTRACTIncreased nuclear size correlates with lower survival rates for prostate cancer and is a hallmark of late-stage androgen-insensitive tumors. The short-chain dehydrogenase/reductase (SDR) family member DHRS7 was suggested as a marker for prostate cancer grading because it is lost in late-stage androgen-insensitive tumors. Here we find that loss of DHRS7 from the early-stage LNCaP prostate cancer cell line increases nuclear size, potentially explaining the nuclear size increase observed in higher-grade prostate tumors. Exogenous expression of DHRS7 in the late-stage PC3 prostate cancer cell line correspondingly decreases nuclear size. We separately tested 80 compounds from the Microsource Spectrum library for their ability to restore normal nuclear size to PC3 cells, finding estradiol propionate had the same effect as re-expression of DHRS7 in the PC3 cells. However, the drug had no effect on LNCaP cells or PC3 cells re-expressing DHRS7. We speculate that reported beneficial effects of estrogens in late-stage prostate cancer may target a pathway which is only active in cells lacking DHRS7 that have increased nuclear size and propose DHRS7 as a potential biomarker for the likely effectiveness of estrogen-based treatments.
Cytoskeleton remodeling induced by SMYD2 methyltransferase drives breast cancer metastasis
Authors: Casanova Alexandre G. , Roth Gael S. , Hausmann Simone , Lu Xiaoyin , Belmudes Lucid , Bourova-Flin Ekaterina , Flores Natasha M. , Benitez Ana Morales , Caporicci Marcello , Vayr Jessica , Blanchet Sandrine , Ielasi Francesco , Rousseaux Sophie , Hainaut Pierre , Gozani Or , Couté Yohann , Palencia Andres , Mazur Pawel K. , Reynoird Nicolas 
Published: September 2023

ABSTRACTMalignant forms of breast cancer refractory to existing therapies remain a major unmet health issue, primarily due to metastatic spread. A better understanding of the mechanisms at play will provide better insights for alternative treatments to prevent breast cancer cells dispersion. Here, we identify the lysine methyltransferase SMYD2 as a clinically actionable master regulator of breast cancer metastasis. While SMYD2 is overexpressed in aggressive breast cancers, we notice that it is not required for primary tumor growth. However, mammary-epithelium specific SMYD2 ablation increases mouse overall survival by blocking the primary tumor cells ability to metastasize. Mechanistically, we identify BCAR3 as a genuine physiological substrate of SMYD2 in breast cancer cells. BCAR3 monomethylated at lysine K334 (K334me1) is recognized by a novel methyl-binding domain present in FMNLs proteins. These actin cytoskeleton regulators are recruited at the cell edges by the SMYD2 methylation signaling and modulates lamellipodia properties. Breast cancer cells with impaired BCAR3 methylation loose migration and invasiveness capacityin vitroand are ineffective in promoting metastasesin vivo. Remarkably, SMYD2 pharmacologic inhibition efficiently impairs the metastatic spread of breast cancer cells, PDX and aggressive mammary tumors from genetically engineered mice. This study provides a rationale for innovative therapeutic prevention of malignant breast cancer metastatic progression by targeting the SMYD2-BCAR3-FMNL axis.
Spatio-temporal Coordination of Active Deformation Forces and Wnt / Hippo-Yap Signaling inHydraRegeneration
Authors: Suzuki Ryo , Hiraiwa Tetsuya , Tursch Anja , Höger Stefanie , Hayashi Kentaro , Özbek Suat , Holstein Thomas W. , Tanaka Motomu 
Published: September 2023

AbstractAmple evidence suggests that Wnt signaling and tissue deformation are key determinants for pattern formation in animals. The coordination of these biochemical and biomechanical spatio-temporal asymmetries is often unknown or controversial. We investigated this relationship by studying regeneration in the freshwater polypHydra. In both reaggregates of dissociated cells and tissue regenerates, we found significant tissue contraction waves and upregulation of Wnt signaling. Applying a simple mechanical model to the mode analysis of the active deformations, we quantitatively defined the phase reversal of size change and axial deformation in those oscillations as the time point of “biomechanical” symmetry breaking. Moreover, overexpression and inhibition of canonical Wnt signaling modulated the timing of this biomechanical symmetry breaking. A direct comparison with the RNAseq data indicates that the biomechanical symmetry breaking occurs only after the upregulation of canonical Wnt signaling. Further data suggest that biochemical signaling and biomechanical active deformation synergistically stabilize the body axis and hence the following head structure formation by Hippo-Yap signaling. The symmetry breaking mechanism identified here inHydramost likely represents a patterning module that is evolutionary conserved from early metazoan to bilaterian animals.
Optimization of the glycerol production fromDunaliella tertiolectaandDunaliellaisolates
Authors: Keil Linda , Breitsameter Jonas , Rieger Bernhard , Garbe Daniel , Brück Thomas 
Published: September 2023

AbstractThe salt tolerant, marine microalgaeDunaliella tertiolectais reported to generate significant amounts of intracellular glycerol as an osmoprotectant under high salt conditions. Several studies have identified light color and -intensity, nitrogen- and phosphate limitation, as well as salt concentration as the most inducing factors impacting glycerol productivity. This study aims to optimize glycerol production by investigating these reported factors singularly and in combination to improve the glycerol product titer. The reference strainD. tertiolectaas well as newDunaliellaisolates were evaluated in this study. The results demonstrate that cultivation with white light of an intensity between 500 and 2000 μmol m−2s−1as opposed to 100 μmol m−2s−1achieves higher biomass and thereby a higher product titer. Moreover, cultivation in 1.5 M NaCl followed by an increase to 3 M NaCl resulted in hyperosmotic stress conditions, providing the highest glycerol titer. Under these optimal light intensity and salt conditions, the glycerol titer ofD. tertiolectacould be doubled to 0.79 mg mL-1. Furthermore, under the same conditions glycerol extracts from newDunaliellaisolates did provide up to 0.94 mg mL-1. Highly pure glycerol obtained under optimal production conditions has widespread applications e.g., in the pharmaceutical industry or the production of sustainable carbon fibers. Moreover, it can be labeled as halal.
Molecular dynamics simulation-based investigation of LexA-DNA interaction: affinity-dependent conformational changes and implications for DNA looping
Authors: Schultze Anne , Öztürk Mehmet Ali 
Published: September 2023

AbstractContextThe binding of proteins to the DNA plays a crucial role in various cellular processes including gene expression. LexA is a bacterial transcription factor that binds to a specific DNA motif, leading to the regulation of numerous genes involved in the DNA damage response. Understanding the structural dynamics and mechanisms of DNA binding by LexA can provide valuable insights into its function and regulatory capabilities. Here, molecular dynamics (MD) simulations are used to investigate how the sequence of the DNA binding motif influences the conformational changes and bending behavior of DNA upon LexA binding. Simulation trajectories reveal that the DNA fragment containing a higher affinity LexA binding motif exhibits more pronounced bending and structural deformations compared to that containing a lower affinity binding motif. Additionally, bending of the protein itself is also observed in the presence of the DNA fragment with the higher affinity LexA binding motif. Our results confirm previous reports of LexA-induced DNA bending and shed further light on the structural details of the DNA bending mechanisms.MethodsMD simulations are employed to investigate the interaction between LexA and 70 bp-long DNA fragments that differ in the LexA binding motif. The GROMACS simulation package with the AMBER14SB force field for proteins and the AMBERparmbsc1 force field for nucleic acids is used to conduct 100 ns-long all-atom simulations. The solvent is set up with the TIP3P water model and the simulation box is filled with ions to reach 0.15 M salt concentration.
Nanoparticle delivery of innate immune agonists combines with senescence-inducing agents to mediate T cell control of pancreatic cancer
Authors: Chibaya Loretah , Lusi Christina F. , DeMarco Kelly D. , Kane Griffin I. , Brassil Meghan L. , Parikh Chaitanya N. , Murphy Katherine C. , Li Junhui , Naylor Tiana E. , Cerrutti Julia , Peura Jessica , Pitarresi Jason R. , Zhu Lihua Julie , Fitzgerald Katherine A. , Atukorale Prabhani U. , Ruscetti Marcus 
Published: September 2023

ABSTRACTPancreatic ductal adenocarcinoma has quickly risen to become the 3rdleading cause of cancer-related death. This is in part due to its fibrotic tumor microenvironment (TME) that contributes to poor vascularization and immune infiltration and subsequent chemo- and immunotherapy failure. Here we investigated an innovative immunotherapy approach combining local delivery of STING and TLR4 innate immune agonistsvialipid-based nanoparticles (NPs) co-encapsulation with senescence-inducing RAS-targeted therapies that can remodel the immune suppressive PDAC TME through the senescence-associated secretory phenotype. Treatment of transplanted and autochthonous PDAC mouse models with these regimens led to enhanced uptake of NPs by multiple cell types in the PDAC TME, induction of type I interferon and other pro-inflammatory signaling, increased antigen presentation by tumor cells and antigen presenting cells, and subsequent activation of both innate and adaptive immune responses. This two-pronged approach produced potent T cell-driven and Type I interferon-dependent tumor regressions and long-term survival in preclinical PDAC models. STING and TLR4-mediated Type I interferon signaling were also associated with enhanced NK and CD8+T cell immunity in human PDAC. Thus, combining localized immune agonist delivery with systemic tumor-targeted therapy can synergize to orchestrate a coordinated innate and adaptive immune assault to overcome immune suppression and activate durable anti-tumor T cell responses against PDAC.SUMMARYCombining senescence-inducing MEK and CDK4/6 inhibitors with nanoparticle delivery of STING and TLR4 agonists leads to interferon-driven and cytotoxic T cell-mediated PDAC control.
Foundation versus Domain-Specific Models for Cardiac Ultrasound Segmentation
Authors: Chao Chieh-Ju , Gu Yunqi Richard , Kumar Wasan , Xiang Tiange , Appari Lalith , Wu Justin , Farina Juan M. , Wraith Rachael , Jeong Jiwoon , Arsanjani Reza , Kane Garvan C. , Oh Jae K. , Langlotz Curtis P. , Banerjee Imon , Fei-Fei Li , Adeli Ehsan 
Published: September 2023

AbstractBackgroundVision foundation model, “Segment Anything (SAM),” promises to segment any objects in images. However, the performance of SAM on clinical echocardiography images has yet to be investigated and compared against state-of-the-art models.MethodSAM was fine-tuned on the training set of EchoNet-Dynamic (Stanford) and then evaluated on external datasets containing transthoracic echocardiography (TTE) and Point-of-Care Ultrasound (POCUS) images, including CAMUS (University Hospital of St Etienne), and the Mayo Clinic dataset (a sample of 99 non-duplicated patients with 58 TTE and 41 POCUS). Fine-tuned SAM was evaluated against the EchoNet and MedSAM models using the Dice similarity coefficient (DSC). We further conducted an annotator study to evaluate the effectiveness of SAM in assisting clinical segmentation tasks.ResultsFine-tuned SAM was superior to EchoNet and MedSAM in most of the datasets. We observed a strong generalization capacity of the fine-tuned SAM model against EchoNet, especially on apical 2 chamber (A2C) images (CAMUS-A2C: DSC 0.891 ± 0.040 vs. 0.752 ± 0.196, p<0.0001) and POCUS (DSC 0.857 ± 0.047 vs. 0.667 ± 0.279, p<0.0001). SAM also reduced the annotation time by 50% (11.6 ± 4.5 sec vs. 5.7 ± 1.7 sec, p< 0.0001) while maintaining the segmentation quality.ConclusionsOur approach demonstrates an effective strategy for fine-tuning a vision foundation model, enhancing clinical workflow efficiency through human-artificial intelligence (AI) collaboration, and leveraging its generalization capacity across ultrasound modalities.
Pitching business school researcher profiles
Authors: Faff Robert , Mathuva David , Brosnan Mark , Hoffmann Sebastian , Albu Catalin , Ali Searat , Axelsen Micheal , Cornwell Nikki , Gepp Adrian , Gill Chelsea , Honey Karina , Malik Ihtisham , Mehrotra Vishal , Moses Olayinka , Ratiu Raluca Valeria , Tan David , Tuszkiewicz Maciej Andrzej 
Published: September 2023

PurposeThe authors passively apply a researcher profile pitch (RPP) template tool in accounting and across a range of Business School disciplines.Design/methodology/approachThe authors document a diversity of worked examples of the RPP. Using an auto-ethnographic research design, each showcased researcher reflects on the exercise, highlighting nuanced perspectives drawn from their experience. Collectively, these examples and associated independent narratives allow the authors to identify common themes that provide informative insights to potential users.FindingsFirst, the RPP tool is helpful for accounting scholars to portray their essential research stream. Moreover, the tool proved universally meaningful and applicable irrespective of research discipline or research experience. Second, it offers a distinct advantage over existing popular research profile platforms, because it demands a focused “less”, that delivers a meaningful “more”. Further, the conciseness of the RPP design makes it readily amenable to iteration and dynamism. Third, the authors have identified specific situations of added value, e.g. initiating research collaborations and academic job market preparation.Practical implicationsThe RPP tool can provide the basis for developing a scalable interactive researcher exchange platform.Originality/valueThe authors argue that the RPP tool potentially adds meaningful incremental value relative to existing popular platforms for gaining researcher visibility. This additional value derives from the systematic RPP format, combined with the benefit of easy familiarity and strong emphasis on succinctness. Additionally, the authors argue that the RPP adds a depth of nuanced novel information often not contained in other platforms, e.g. around the dimensions of “data” and “tools”. Further, the RPP gives the researcher a “personality”, most notably through the dimensions of “contribution” and “other considerations”.
Automation-augmentation paradox in organizational artificial intelligence technology deployment capabilities; an empirical investigation for achieving simultaneous economic and social benefits
Authors: Kumar Amit , Bhattacharyya Som Sekhar , Krishnamoorthy Bala 
Published: September 2023

PurposeThe purpose of this research study was to understand the simultaneous competitive and social gains of machine learning (ML) and artificial intelligence (AI) usage in organizations. There was a knowledge hiatus regarding the contribution of the deployment of ML and AI technologies and their effects on organizations and society.Design/methodology/approachThis study was grounded on the dynamic capabilities (DC) and ML and AI automation-augmentation paradox literature. This research study examined these theoretical perspectives using the response of 239 Indian organizational chief technology officers (CTOs). Partial least square-structural equation modeling (PLS-SEM) path modeling was applied for data analysis.FindingsThe results indicated that ML and AI technologies organizational usage positively influenced DC initiatives. The findings depicted that DC fully mediated ML and AI-based technologies' effects on firm performance and social performance.Research limitations/implicationsThis study contributed to theoretical discourse regarding the tension between organizational and social outcomes of ML and AI technologies. The study extended the role of DC as a vital strategy in achieving social benefits from ML and AI use. Furthermore, the theoretical tension of the automation-augmentation paradox was explored.Practical implicationsOrganizations deploying ML and AI technologies could apply this study's insights to comprehend the organizational routines to pursue simultaneous competitive benefits and social gains. Furthermore, chief technology executives of organizations could devise how ML and AI technologies usage from a DC perspective could help settle the tension of the automation-augmentation paradox.Social implicationsIncreased ML and AI technologies usage in organizations enhanced DC. They could lead to positive social benefits such as new job creation, increased compensation to skilled employees and greater gender participation in employment. These insights could be derived based on this research study.Originality/valueThis study was among the first few empirical investigations to provide theoretical and practical insights regarding the organizational and societal benefits of ML and AI usage in organizations because of their DC. This study was also one of the first empirical investigations that addressed the automation-augmentation paradox at the enterprise level.
Unraveling the effects of occupational identity verification, self-esteem and identity salience on managers’ mental health: examining psychological distress and depression in the workplace
Authors: Hamouche Salima , Marchand Alain 
Published: September 2023

Purpose
Managers play a crucial role in organizations. They make decisions that directly influence organizational success and significantly impact employees’ mental health, development and performance. They are responsible for ensuring the financial well-being and long-term sustainability of organizations. However, their mental health is often overlooked, which can negatively affect employees and organizations. This study aims to address managers’ mental health at work, by examining specifically the direct and indirect effects of identity verification on their psychological distress and depression through self-esteem at work. The study also aims to examine the moderating as well as moderated mediation effects of identity salience.

Design/methodology/approach
A sample of 314 Canadian managers working in 56 different companies was studied, using multilevel analyses.

Findings
The findings showed that the verification of managers’ identity vis-à-vis recognition is positively associated with psychological distress and depression. Self-esteem completely mediates the association between low identity verification vis-à-vis work control and psychological distress, and also the association between low identity verification vis-à-vis work control and superior support and depression, while it partially mediates the association between low identity verification vis-à-vis recognition and depression.

Practical implications
This study can also help both managers and human resource management practitioners in understanding the role of workplaces in the identity verification process and developing relevant interventions to prevent mental health issues among managers at work.

Originality/value
This study proposed a relatively unexplored approach to the study of managers’ mental health at work. Its integration of identity theory contributes to expanding research on management and workplace mental health issues.
Essential 2: “clinical practice” is what professional development schools do
Authors: Burns Rebecca West , Badiali Bernard , Coler Cynthia , Cosenza Michael , Goree Krystal , Polly Drew , Stoicovy Donnan , Zenkov Kristien 
Published: September 2023

PurposeThe purpose of this article is to unpack more deeply Essential 2: Clinical Preparation. This article offers a comparison of the first and second editions of Essential 2 and also provides resources and activities partners can use and engage in to deepen their work on the clinical preparation of teachers.Originality/valueThis article is being resubmitted so that it can be reprinted with the other Nine Essential articles.