bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prior induction of cellular antiviral pathways limits frog virus 3 replication in two permissive Xenopus laevis skin epithelial-like cell lines
Authors: Bui-Marinos Maxwell P. , Todd Lauren A. , Wasson Marie-Claire D. , Morningstar Brandon E. E. , Katzenback Barbara A. 
Published: June 2021

AbstractFrog virus 3 (FV3) causes mortality in a range of amphibian species. Despite the importance of the skin epithelium as a first line of defence against FV3, the interaction between amphibian skin epithelial cells and FV3 remains largely uncharacterized. Here, we used newly established Xenopus laevis skin epithelial-like cell lines, Xela DS2 and Xela VS2, to study the susceptibility and permissiveness of frog skin epithelial cells to FV3, and the innate immune antiviral and proinflammatory gene regulatory responses of these cells to FV3. Both cell lines are susceptible and permissive to FV3, yet do not exhibit appreciable transcript levels of scavenger receptors recently demonstrated to be used by FV3 for cellular entry. Xela DS2 and Xela VS2 upregulate antiviral and proinflammatory cytokine transcripts in response to poly(I:C) but not to FV3 or UV-inactivated FV3. Poly(I:C) pretreatment limited FV3 replication and FV3-induced cytopathic effects in both cell lines. Thus, Xela DS2 and Xela VS2 can support FV3 propagation, represent in vitro systems to investigate antiviral responses of frog skin epithelial cells, and are novel tools for screening compounds that initiate effective antiviral programs to limit FV3 replication.
Connectivity profile laterality in corticostriatal functional circuitry: a fingerprinting approach
Authors: Korponay Cole , Stein Elliot A , Ross Thomas J 
Published: June 2021

ABSTRACTAn abnormal magnitude of hemispheric difference (i.e. laterality) in corticostriatal circuits is a shared feature of numerous neurodevelopmental and psychiatric disorders. Detailed quantitation and regional localization of corticostriatal laterality in normative samples stands to further the understanding of hemispheric differences in healthy and disease states. Here, we used a fingerprinting approach to quantify “functional connectivity profile laterality” – the overall magnitude by which a voxel’s profile of connectivity with homotopic regions of the ipsilateral and contralateral cortex differs – in the striatum. Laterality magnitude heatmaps revealed “laterality hotspots” – constituting outliers in the voxel-wise distribution –in the right ventrolateral putamen and left central caudate. Findings were replicated in an independent sample, with significant (p<0.05) spatial overlap observed between the location of the laterality hotspots across samples, as measured via Dice coefficients. At both hotspots, a primary driver of overall laterality was the difference in striatal connectivity strength with the right and left pars opercularis of the inferior frontal gyrus. Right and left striatum laterality magnitude maps were found to significantly differ (p<0.05) at the hotspot locations. Moreover, using subjects’ left, but not right, striatum laterality magnitude maps, a support vector machine trained on a discovery sample (n=77) and tested on a replication sample (n=77) significantly predicted (r=0.25, p=0.028) subject performance on a language task, known for its lateralized nature. Laterality magnitude maps remained consistent across different cortical atlas parcellations and did not differ significantly between right-handed and left-handed individuals. In sum, meaningful variation in functional connectivity profile laterality – both spatially within the striatum and across subjects – is evident in corticostriatal circuits. Findings provide a basis to examine corticostriatal connectivity profile laterality in psychiatric illness.
Biallelic loss-of-function OBSCN variants predispose individuals to severe, recurrent rhabdomyolysis
Authors: Cabrera-Serrano Macarena , Caccavelli Laure , Savarese Marco , Vihola Anna , Jokela Manu , Johari Mridul , Capiod Thierry , Madrange Marine , Bugiardini Enrico , Brady Stefen , Quinlivan Rosaline , Merve Ashirwad , Scalco Renata , Hilton-Jones David , Houlden Henry , Aydin Halil , Ceylaner Serdar , Vockley Jerry , Taylor Rhonda L , Goullee Hayley , Ylikallio Emil , Auranen Mari , Tyynismaa Henna , Udd Bjarne , Forrest Alistair RR , Davis Mark R , Bratkovic Drago , Manton Nicholas , Robertson Thomas , McCombe Pamela , Laing Nigel G , Phillips Liza , de Lonlay Pascale , Ravenscroft Gianina 
Published: June 2021

ABSTRACTRhabdomyolysis is the acute breakdown of skeletal myofibres in response to an initiating factor, most commonly toxins and over exertion. A variety of genetic disorders predispose to rhabdomyolysis through different pathogenic mechanisms, particularly in patients with recurrent episodes. However, the majority of cases remain without a genetic diagnosis. Here we present six patients who presented with severe and recurrent rhabdomyolysis, usually with onset in the teenage years; other features included a history of myalgia and muscle cramps. We identified ten bi-allelic loss-of-function variants in the gene encoding obscurin (OBSCN) co-segregating with disease. We show reduced expression of OBSCN and loss of obscurin protein in patient muscle. Obscurin is proposed to be involved in SR function and Ca2+ handling. Patient cultured myoblasts appear more susceptible to starvation as evidenced by a greater decreased in SR Ca2+ content compared to control myoblasts. This likely reflects a lower efficiency when pumping Ca2+ back into the SR and/or a decrease in Ca2+ SR storage ability when metabolism is diminished. OSBCN variants have previously been associated with cardiomyopathies. None of the patients presented with a cardiomyopathy and cardiac examinations were normal in all cases in which cardiac function was assessed. There was also no history of cardiomyopathy in first degree relatives, in particular in any of the carrier parents. This cohort is relatively young, thus follow-up studies and the identification of additional cases with bi-allelic null OBSCN variants will further delineate OBSCN-related disease and the clinical course of disease.
Topographically organized representation of space and context in the medial prefrontal cortex
Authors: Sauer Jonas-Frederic , Folschweiller Shani , Bartos Marlene 
Published: June 2021

AbstractSpatial tuning of neocortical pyramidal cells has been observed in diverse cortical regions and is thought to rely primarily on input from the hippocampal formation. Despite the well-studied hippocampal place code, many properties of the neocortical spatial tuning system are still insufficiently understood. In particular, it has remained unclear how the topography of direct anatomical connections from hippocampus to neocortex affects spatial tuning depth, and whether the dynamics of spatial coding in the hippocampal output region CA1 such as remapping in novel environments is transmitted to the neocortex. Using mice navigating through virtual environments we addressed these questions in the mouse medial prefrontal cortex, which receives direct input from the hippocampus. We find a rapidly emerging prefrontal representation of space in the absence of task rules, which discriminates familiar from novel environments and is reinstated upon re-exposure to the same familiar environment. Topographical analysis revealed a dorso-ventral gradient in the representation of the own position, which runs opposite to the innervation density of hippocampal inputs. Jointly, these results reveal a dynamically emerging and topographically organized prefrontal place code during spontaneous locomotion.Significance StatementThe neocortex is composed of areas with specialized function (e.g. sensory vs. associational). Despite this functional diversity, emerging evidences suggest that the encoding of space might be a universal feature of cortical circuits. Here, we identified a gradient of spatial tuning depth along the dorso-ventral axis. A complex topography of spatial tuning properties might support a division of labor among medial prefrontal cortical subnetworks to support local circuit computation relevant for the execution of context-dependent behavioral outcomes.
Balancing the length of distal tip is key for stability and signalling function of primary cilia
Authors: Kanamaru Taishi , Neuner Annett , Kurtulmus Bahtiyar , Pereira Gislene 
Published: June 2021

AbstractPrimary cilia are antenna-like organelles required for signalling transduction. How cilia structure is mechanistically maintained at steady-state to promote signalling is largely unknown. Here, we define that mammalian primary cilia are formed by middle and distal segments, in analogy to sensory cilia of lower eukaryotes. The analysis of middle/distal segmentation indicated that perturbations leading to cilia over-elongation influenced middle or distal segment length with a different impact on cilia behaviour. We identified Septins as novel repressors of distal segment growth. We show that Septins control the localisation of MKS3 and CEP290 required for a functional transition zone, and through this the entrance of the microtubule-capping kinesin KIF7, a cilia-growth inhibitor, into the cilium. Live-cell imaging and analysis of sonic-hedgehog (SHH) signalling activation established that distal segment over-extension increased cilia excision events and decreased SHH activation. Our data underlies the importance of understanding cilia segmentation for length control and cilia-dependent signalling.
Joint degeneration in a mouse model of pseudoachondroplasia: ER stress, inflammation and autophagy blockage
Authors: Hecht Jacqueline T. , Veerisetty Alka C. , Hossain Mohammad G. , Patra Debabrata , Chiu Frankie , Coustry Francoise , Posey Karen L. 
Published: June 2021

AbstractPseudoachondroplasia (PSACH), a short limb skeletal dysplasia, associated with premature joint degeneration is caused by misfolding mutations in cartilage oligomeric matrix protein (COMP). Here, we define mutant-COMP-induced stress mechanisms that occur in articular chondrocytes of MT-COMP mice, a murine model of PSACH. The accumulation of mutant-COMP in the ER occurred early in MT-COMP articular chondrocytes and stimulated inflammation (TNFα) at 4 wks. Articular chondrocyte death increased at 8 wks and ER stress through CHOP was elevated by 12 wks. Importantly, blockage of autophagy (pS6), the major mechanism which clears the ER, sustained cellular stress in MT-COMP articular chondrocytes. Degeneration of MT-COMP articular cartilage was similar to that observed in PSACH and was associated with increased MMPs, degradative enzymes. Moreover, chronic cellular stresses stimulated senescence. Senescence-associated secretory phenotype (SASP) may play a role in generating and propagating a pro-degradative environment in the MT-COMP murine joint. The loss of CHOP or resveratrol treatment from birth preserved joint health in MT-COMP mice. Taken together, these results indicate that ER stress/CHOP signaling and autophagy blockage are central to mutant-COMP joint degeneration and MT-COMP mice joint health can be preserved by decreasing articular chondrocyte stress. Future joint sparing therapeutics for PSACH may include resveratrol.
MiR-384 Regulates Reelin by Inhibiting ADAMTS4 in Neuronal Cell Lines
Authors: Cao Qiushi , Huang Bisheng , Wang Ping , Zhao Gang , Zhao Min , Yu Xiao-Ming 
Published: June 2021

AbstractMicroRNAs (miRNAs) are important regulators of gene expression at the post-transcriptional level. The present study aims to investigate the role of miR-384 in Reelin by regulating ADAMTS4 in neuronal cell lines. Brain tissues from Aβ1-42 induced mouse model of Alzheimer’s disease and the control group were collected. RT-PCR, Western blotting and immunohistochemistry were performed to detect the levels of ADAMTS4 and miR-384 in tissues. Luciferase reporter assay, Western blotting and in vitro assay were used to validate that ADAMTS4 was the target gene of miR-384. Neuronal cell line, Neuro-2a, was selected for transfection assay. ADAMTS4 was significantly down-regulated in hippocampi of Alzheimer’s disease mouse model, and negatively correlated with miR-384. Then, ADAMTS4 was identified as a direct target of miR-384. Over-expressing of miR-384 in Neuro-2a showed that ADAMTS4 and the cleaved Reelin fragments were down regulated, and proliferation of neuronal cell lines (Neuro-2a and SH-SY5Y) were inhibited through DAB-1 pathway. In conclusion, these results revealed that miR-384 may play a regulatory role in Reelin via inhibiting ADAMTS4 in neuronal cell lines.
Single-cell intracellular pH dynamics regulate the cell cycle by timing G1 exit and the G2 transition
Authors: Spear Julia S. , White Katharine A. 
Published: June 2021

ABSTRACTTransient changes in intracellular pH (pHi) regulate normal cell behaviors, but roles for spatiotemporal pHi dynamics in single-cell behaviors remains unclear. Here, we mapped single-cell spatiotemporal pHi dynamics during mammalian cell cycle progression both with and without cell cycle synchronization. We found that single-cell pHi is dynamic throughout the cell cycle: pHi decreases at G1/S, increases in mid-S, decreases at late S, increases at G2/M, and rapidly decreases during mitosis. Importantly, while pHi is highly dynamic in dividing cells, non-dividing cells have attenuated pHi dynamics. Using two independent pHi manipulation methods, we found that low pHi inhibits completion of S phase while increased pHi promotes both S/G2 and G2/M transitions. Our data also suggest that low pHi cues G1 exit, with decreased pHi shortening G1 and increased pHi elongating G1. Furthermore, dynamic pHi is required for S phase timing, as high pHi elongates S phase and low pHi inhibits S/G2 transition. This work reveals spatiotemporal pHi dynamics are necessary for cell cycle progression at multiple phase transitions in single human cells.
STED super-resolution imaging of membrane packing and dynamics by exchangeable polarity-sensitive dyes
Authors: Carravilla Pablo , Dasgupta Anindita , Zhurgenbayeva Gaukhar , Danylchuk Dmytro I. , Klymchenko Andrey S. , Sezgin Erdinc , Eggeling Christian 
Published: June 2021

ABSTRACTUnderstanding the plasma membrane nano-scale organisation and dynamics in living cells requires microscopy techniques with high spatial and temporal resolution, permitting for long acquisition times, and that allow for the quantification of membrane biophysical properties such as lipid ordering. Among the most popular super-resolution techniques, stimulated emission depletion (STED) microscopy offers one of the highest temporal resolutions, ultimately defined by the scanning speed. However, monitoring live processes using STED microscopy is significantly limited by photobleaching, which recently has been circumvented by exchangeable membrane dyes that only temporarily reside in the membrane. Here, we show that NR4A, a polarity-sensitive exchangeable plasma membrane probe based on Nile Red, permits the super-resolved quantification of membrane biophysical parameters in real time with high temporal and spatial resolution as well as long acquisition times. The potential of this polarity-sensitive exchangeable dye is showcased by live-cell real-time 3D-STED recordings of bleb formation and lipid exchange during membrane fusion, as well as by STED-fluorescence correlation spectroscopy (STED-FCS) experiments for the simultaneous quantification of membrane dynamics and lipid packing, which correlate in model and live-cell membranes.
Numerical modeling of inverse problem of parameter identification for viscoelastic functionally graded materials/structures
Authors: Zhang Linlin , Yang Haitian 
Published: June 2021

PurposeThis paper attempts to develop an efficient algorithm to solve the inverse problem of identifying constitutive parameters in VFG (viscoelastic functionally graded) materials/structures.Design/methodology/approachAn adaptive recursive algorithm with high fidelity is developed to acquire the derivatives of displacements with respect to constitutive parameters, which are required for the accurate and stable gradient based inverse analysis. A two-step strategy is presented in the process of identification, by which the unknown parameters can be separately identified and the scale and complexity of the inverse VFG problem are reduced. At each step, the process of identification is treated as an optimization problem that is solved by the Levenberg–Marquardt method.FindingsThe solution accuracy of forward problems and derivatives of displacements can be stably achieved with different step sizes, and constitutive parameters of homogenous/regional-inhomogeneous VFG materials/structures can be effectively and accurately identified. By examining the reliability, resolution, impacts of reference information and noisy data, the effectiveness of the proposed approach is numerically verified via three numerical examples.Originality/valueAn adaptive recursive algorithm is developed for derivatives computing with high fidelity, providing a solid platform for the sensitivity analysis and thereby a two-step strategy in conjunction with Levenberg–Marquardt method is presented in the process of identification. Consequently, an effective algorithm is developed to identify constitutive parameters of homogenous/regional-inhomogeneous VFG materials/structures.
Applications of Bayesian approaches in construction management research: a systematic review
Authors: Hon Carol K.H. , Sun Chenjunyan , Xia Bo , Jimmieson Nerina L. , Way Kïrsten A. , Wu Paul Pao-Yen 
Published: June 2021

PurposeBayesian approaches have been widely applied in construction management (CM) research due to their capacity to deal with uncertain and complicated problems. However, to date, there has been no systematic review of applications of Bayesian approaches in existing CM studies. This paper systematically reviews applications of Bayesian approaches in CM research and provides insights into potential benefits of this technique for driving innovation and productivity in the construction industry.Design/methodology/approachA total of 148 articles were retrieved for systematic review through two literature selection rounds.FindingsBayesian approaches have been widely applied to safety management and risk management. The Bayesian network (BN) was the most frequently employed Bayesian method. Elicitation from expert knowledge and case studies were the primary methods for BN development and validation, respectively. Prediction was the most popular type of reasoning with BNs. Research limitations in existing studies mainly related to not fully realizing the potential of Bayesian approaches in CM functional areas, over-reliance on expert knowledge for BN model development and lacking guides on BN model validation, together with pertinent recommendations for future research.Originality/valueThis systematic review contributes to providing a comprehensive understanding of the application of Bayesian approaches in CM research and highlights implications for future research and practice.
COVID-19 and the marginalized: an opinion piece on further measures to address COVID-19 in prisons in Sub-Saharan Africa
Authors: Katey Daniel , Morgan Anthony Kwame , Asori Moses , Ampofo Solomon Twum , Mpobi Robert Kwame Jumah 
Published: June 2021

Purpose
This paper examines prison services and how they can be managed to uphold COVID-19 prevention etiquettes, in light of the contemporary rise in COVID-19 cases across the sub-Saharan Africa continent and the world at large.

Design/methodology/approach
An extensive review of existing literature on COVID-19 was conducted to ascertain the nature of the pandemic in prisons in sub-Saharan Africa.

Findings
In line with empirical observations, the paper recommends regular disinfection of prisons and correctional facilities on the sub-continent. Again, there is the need for countries to resort to alternative punitive measures other than imprisonment, to curb the issue of overcrowding in prisons. Furthermore, there is the need for national governments to build ultramodern prison facilities, which would make room for emergency situations, as well as make provision for any future rise in the number of inmates while, at the same time, meeting fundamental needs as peculiar to prisoners. Finally, medical units in prisons need to be well-equipped against contemporary rise in COVID-19 cases.

Originality/value
The authors hereby declare that this submission is their handmade which has not been submitted to any other journal outlet.
A control chart pattern recognition methodology for controlling information technology-enabled service (ITeS) process customer complaints
Authors: John Boby 
Published: June 2021

PurposeThe purpose of this paper is to develop a control chart pattern recognition methodology for monitoring the weekly customer complaints of outsourced information technology-enabled service (ITeS) processes.Design/methodology/approachA two-step methodology is used to classify the processes as having natural or unnatural variation based on past 20 weeks' customer complaints. The step one is to simulate data on various control chart patterns namely natural variation, upward shift, upward trend, etc. Then a deep learning neural network model consisting of two dense layers is developed to classify the patterns as of natural or unnatural variation.FindingsThe validation of the methodology on telecom vertical processes has correctly detected unnatural variations in two terminated processes. The implementation of the methodology on banking and financial vertical processes has detected unnatural variation in one of the processes. This helped the company management to take remedial actions, renegotiate the deal and get it renewed for another period.Practical implicationsThis study provides valuable information on controlling information technology-enabled processes using pattern recognition methodology. The methodology gives a lot of flexibility to managers to monitor multiple processes collectively and avoids the manual plotting and interpretation of control charts.Originality/valueThe application of control chart pattern recognition methodology for monitoring service industry processes are rare. This is an application of the methodology for controlling information technology-enabled processes. This study also demonstrates the usefulness of deep learning techniques for process control.