bluuebunny/crossref_metadata_2025_split huggingface dataset:
Binding Dynamics of Disordered Linker Histone H1 with a Nucleosomal Particle
Authors: Wu Hao , Dalal Yamini , Papoian Garegin A. 
Published: November 2020

AbstractLinker histone H1 is an essential regulatory protein for many critical biological processes, such as eukaryotic chromatin packaging and gene expression. Mis-regulation of H1s is commonly observed in tumor cells, where the balance between different H1 subtypes has been shown to alter the cancer phenotype. Consisting of a rigid globular domain and two highly charged terminal domains, H1 can bind to multiple sites on a nucleosomal particle to alter chromatin hierarchical condensation levels. In particular, the disordered H1 amino- and carboxyl-terminal domains (NTD/CTD) are believed to enhance this binding affinity, but their detailed dynamics and functions remain unclear. In this work, we used a coarse-grained computational model AWSEM-DNA to simulate the H1.0b-nucleosome complex, namely chromatosome. Our results demonstrate that H1 disordered domains restrict the dynamics of both globular H1 and linker DNA arms, resulting in a more compact and rigid chromatosome particle. Furthermore, we identified regions of H1 disordered domains that are tightly tethered to DNA near the entry-exit site. Overall, our study elucidates at near atomic resolution the way the disordered linker histone H1 modulates nucleosome’s structural preferences and conformational dynamics.
Single molecule tracking and analysis framework including theory-predicted parameter settings
Authors: Kuhn Timo , Hettich Johannes , Gebhardt J. Christof M. 
Published: November 2020

AbstractImaging, tracking and analyzing individual biomolecules in living systems is a powerful technology to obtain quantitative kinetic and spatial information such as reaction rates, diffusion coefficients and localization maps. Common tracking tools often operate on single movies and require additional manual steps to analyze whole data sets or to compare different experimental conditions. We report a fast and comprehensive single molecule tracking and analysis framework (TrackIt) to simultaneously process several multi-movie data sets. A user-friendly GUI offers convenient tracking visualization, multiple state-of-the-art analysis procedures, display of results, and data im- and export at different levels to utilize external software tools. We applied our framework to quantify dissociation rates of a transcription factor in the nucleus and found that tracking errors, similar to fluorophore photobleaching, have to be considered for reliable analysis. Accordingly, we developed an algorithm, which accounts for both tracking losses and suggests optimized tracking parameters when evaluating reaction rates. Our versatile and extensible framework facilitates quantitative analysis of single molecule experiments at different experimental conditions.
Factors Underlying Asymmetric Dynamics of Disaggregase and Microtubule Severing AAA+ Machines
Authors: Damre Mangesh , Dayananda Ashan , Varikoti Rohith Anand , Stan George , Dima Ruxandra I. 
Published: November 2020

AbstractDisaggregation and microtubule-severing nanomachines from the AAA+ (ATPases associated with various cellular activities) superfamily assemble into ring–shaped hexamers that enable protein remodeling by coupling large–scale conformational changes with application of mechanical forces within a central pore by loops protruding within the pore. We probed these motions and intra-ring interactions that support them by performing extensive explicit solvent molecular dynamics simulations of single-ring severing proteins and the double-ring disaggregase ClpB. Simulations reveal that dynamic stability of hexamers of severing proteins and of the nucleotide binding domain 1 (NBD1) ring of ClpB, which belong to the same clade, involves a network of salt bridges that connect conserved motifs of central PL1 loops of the hexamer. Clustering analysis of ClpB highlights correlated motions of domains of neighboring protomers supporting strong inter-protomer collaboration. Severing proteins have weaker inter-protomer coupling and stronger intra-protomer stabilization through salt bridges formed between PL2 and PL3 loops. Distinct mechanisms are identified in the NBD2 ring of ClpB involving weaker inter–protomer coupling through salt bridges formed by non–canonical loops and stronger intra–protomer coupling. Pore width fluctuations associated with the PL1 constriction in the spiral states, in the presence of a substrate peptide, highlight stark differences between narrowing of channels of severing proteins and widening of the NBD1 ring of ClpB. This indicates divergent substrate processing mechanisms of remodeling and translocation by ClpB and substrate tail-end gripping and possible wedging on microtubule lattice by severing enzymes. Relaxation dynamics of the distance between the PL1 loops and the centers of mass of protomers reveals observation-time-dependent dynamics, leading to predicted relaxation times of tens of microseconds on millisecond experimental timescales. For ClpB the predicted relaxation time is in excellent agreement with the extracted time from smFRET experiments.
SARS-CoV-2 utilizes a multipronged strategy to suppress host protein synthesis
Authors: Finkel Yaara , Gluck Avi , Winkler Roni , Nachshon Aharon , Mizrahi Orel , Lubelsky Yoav , Zuckerman Binyamin , Slobodin Boris , Yahalom-Ronen Yfat , Tamir Hadas , Ulitsky Igor , Israely Tomer , Paran Nir , Schwartz Michal , Stern-Ginossar Noam 
Published: November 2020

AbstractSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the ongoing coronavirus disease 19 (COVID-19) pandemic. Despite the urgent need, we still do not fully understand the molecular basis of SARS-CoV-2 pathogenesis and its ability to antagonize innate immune responses. Here, we use RNA-sequencing and ribosome profiling along SARS-CoV-2 infection and comprehensively define the mechanisms that are utilized by SARS-CoV-2 to shutoff cellular protein synthesis. We show SARS-CoV-2 infection leads to a global reduction in translation but that viral transcripts are not preferentially translated. Instead, we reveal that infection leads to accelerated degradation of cytosolic cellular mRNAs which facilitates viral takeover of the mRNA pool in infected cells. Moreover, we show that the translation of transcripts whose expression is induced in response to infection, including innate immune genes, is impaired, implying infection prevents newly transcribed cellular mRNAs from accessing the ribosomes. Overall, our results uncover the multipronged strategy employed by SARS-CoV-2 to commandeer the translation machinery and to suppress host defenses.
Intracellular localisation ofMycobacterium tuberculosisaffects antibiotic efficacy
Authors: Santucci Pierre , Greenwood Daniel J. , Fearns Antony , Chen Kai , Jiang Haibo , Gutierrez Maximiliano G. 
Published: November 2020

AbstractTo be effective, chemotherapy against tuberculosis (TB) must kill the intracellular population ofMycobacterium tuberculosis(Mtb). However, how host cell environments affect antibiotic accumulation and efficacy remains elusive. Pyrazinamide (PZA) is a key antibiotic against TB, yet its behaviour is not fully understood. Here, by using correlative light, electron, and ion microscopy to image PZA at the subcellular level, we investigated how human macrophage environments affect PZA activity. We discovered that PZA accumulates heterogeneously between individual bacteria in multiple host cell environments. Crucially, Mtb phagosomal localisation and acidification increase PZA accumulation and efficacy. By imaging two antibiotics commonly used in combined TB therapy, we showed that bedaquiline (BDQ) significantly enhances PZA accumulation by a host cell mediated mechanism. Thus, intracellular localisation and specific microenvironments affect PZA accumulation and efficacy; explaining the potentin vivoefficacy compared to its modestin vitroactivity and the critical contribution to TB combination chemotherapy.
RNA 3D modeling with FARFAR2, online
Authors: Watkins Andrew , Das Rhiju 
Published: November 2020

AbstractUnderstanding the three-dimensional structure of an RNA molecule is often essential to understanding its function. Sampling algorithms and energy functions for RNA structure prediction are improving, due to the increasing diversity of structural data available for training statistical potentials and testing structural data, along with a steady supply of blind challenges through the RNA Puzzles initiative. The recent FARFAR2 algorithm enables near-native structure predictions on fairly complex RNA structures, including automated selection of final candidate models and estimation of model accuracy. Here, we describe the use of a publicly available webserver for RNA modeling for realistic scenarios using FARFAR2, available at https://rosie.rosettacommons.org/farfar2. We walk through two cases in some detail: a simple model pseudoknot from the frameshifting element of beet western yellows virus modeled using the “basic interface” to the webserver, and a replication of RNA-Puzzle 20, a metagenomic twister sister ribozyme, using the “advanced interface.” We also describe example runs of FARFAR2 modeling including two kinds of experimental data: a c-di-GMP riboswitch modeled with low resolution restraints from MOHCA-seq experiments and a tandem GA motif modeled with 1H NMR chemical shifts.
Frontoparietal, cerebellum network codes for accurate intention prediction in altered perceptual conditions
Authors: Ceravolo L. , Schaerlaeken S. , Frühholz S. , Glowinski D. , Grandjean D. 
Published: November 2020

AbstractIntegrating and predicting intentions and actions of others are crucial components of social interactions, but the behavioral and neural underpinnings of such mechanisms in altered perceptual conditions remain poorly understood. We demonstrated that expertise was necessary to successfully understand and evaluate communicative intent in spatially and temporally altered visual representations of music plays, recruiting frontoparietal regions and several sub-areas of the cerebellum. Functional connectivity between these brain areas revealed widespread organization, especially in the cerebellum. This network may be essential to assess communicative intent in ambiguous or complex visual scenes.
Assessing nitrogen dioxide (NO2) impact on health pre- and post-COVID-19 pandemic using IoT in India
Authors: R. Sitharthan , D. Shanmuga Sundar , M. Rajesh , Madurakavi Karthikeyan , I. Jacob Raglend , J. Belwin Edward , R. Raja Singh , R. Kumar 
Published: November 2020

Purpose
Corona Virus Disease 2019 (COVID-19) is a deadly virus named after severe acute respiratory syndrome coronavirus 2; it affects the respiratory system of the human and sometimes leads to death. The COVID-19 mainly attacks the person with previous lung diseases; the major cause of lung diseases is the exposure to nitrogen dioxide (NO2) for a longer duration. NO2 is a gaseous air pollutant caused as an outcome of the vehicles, industrial smoke and other combustion processes. Exposure of NO2 for long-term leads to the risk of respiratory and cardiovascular diseases and sometimes leads to fatality. This paper aims to analyze the NO2 level impact in India during pre- and post-COVID-19 lockdown. The study also examines the relationship between the fatality rate of humans because of exposure to NO2 and COVID-19.

Design/methodology/approach
Spatial analysis has been conducted in India based on the mortality rate caused by the COVID-19 using the data obtained through Internet of Medical things. Meanwhile, the mortality rate because of the exposure of NO2 has been conducted in India to analyze the relationship. Further, NO2 level assessment is carried out using Copernicus Sentinel-5P satellite data. Moreover, aerosol optical depth analysis has been carried out based on NASA’s Earth Observing System data.

Findings
The results indicate that NO2 level has dropped 20-year low because of the COVID-19 lockdown. The results also determine that the mortality rate because of long-time exposure to NO2 is higher than COVID-19 and the mortality rate because of COVID-19 may be a circumlocutory effect owing to the inhalation of NO2.

Originality/value
Using the proposed approach, the COVID-19 spread can be identified by knowing the air pollution in major cities. The research also identifies that COVID-19 may have an effect because of the inhalation of NO2, which can severe the COVID-19 in the human body.
Customer relationship management and patient satisfaction and loyalty in selected hospitals in Ghana
Authors: Abekah-Nkrumah Gordon , Yaa Antwi Maame , Braimah Stephen Mahama , Ofori Charles Gyamfi 
Published: November 2020

Purpose
This paper aims to examine the effect of customer relationship management (CRM) on patient satisfaction and patient loyalty, controlling for other socio-demographic characteristics.

Design/methodology/approach
The study used a two-stage sampling process and structured questionnaires to collect data from 788 patients from three health facilities (public, quasi-public and private) in Greater Accra, Ghana. The data collected was analyzed using descriptive statistics and regression via the partial least squares-based structural equation model.

Findings
The results suggest that CRM is significantly positively correlated with patient satisfaction and patient loyalty, with patient satisfaction also significantly correlated with patient loyalty. Additionally, the results suggest that the introduction of education, health facility ownership, health insurance status and gender, neither impact significantly on the relationship between CRM and patient satisfaction/patient loyalty nor influenced patient satisfaction and patient loyalty directly.

Research limitations/implications
The findings of the current paper can have substantial practice implications for operators in the health-care industry in Ghana. CRM components such as service quality, customer service, communication and the use of appropriate technology to deliver service will be fundamental if organizations operating in the health-care ecosystem in Ghana are to be able to compete effectively.

Originality/value
This is one of the very few papers on the relationship between CRM and patient satisfaction and patient loyalty in African health-care literature. Thus, the findings of the paper can constitute a great resource not only to academics but also to practitioners who are looking to be competitive in the health-care market.
Retail 4.0 adoption and firm performance among Malaysian retailers: the role of enterprise risk management as moderator
Authors: Sakrabani Poorni , Teoh Ai Ping 
Published: November 2020

PurposeThe purpose of this study was to ascertain the determinants of firm performance for Malaysian retailers.Design/methodology/approachAn online survey was conducted to collect responses from members of the Malaysian Retailers' Chain Association. A total of 126 responses were obtained. Data analysis was done by using the PLS-SEM method.FindingsThe results of the study indicate that Retail 4.0 adoption is able to improve retailers' performance as-a-whole by improving the four perspectives of firm performance as given in the Balanced Scorecard, i.e. the finance perspective, the customer perspective, the internal processes' perspective and also learning and growth perspective. Further, enterprise risk management was found to have a positive moderating effect on retailers' performance as-a-whole and also on the finance and customer perspectives of performance.Research limitations/implicationsThe study was conducted only in Malaysia and so, it might be geographically limited. Besides, it is cross-sectional in nature and therefore, the impact might be different if the study had been conducted over a longer period.Practical implicationsThis study provides a useful framework for retailers who are seeking to improve firm performance.Originality/valueThis is one of the first studies to show the impact of Retail 4.0 adoption on firm performance. Besides, this is also the first time, enterprise risk management has been introduced as a positive moderator on the impact of technology adoption on retailers' performance.
Exploring young consumer's decision‐making for luxury co-branding combinations
Authors: Yu Yanan , Rothenberg Lori , Moore Marguerite 
Published: November 2020

PurposeThe purpose of this paper is to identify the realistic trade-offs young consumers make when evaluating luxury co-branding combinations based on signalling theory.Design/methodology/approachConjoint analysis was employed to evaluate the relative impact of four major attributes (i.e. brand combinations, retail channels, uniqueness and price) on consumer desirability for luxury co-branding combinations. The data were analysed using desirability indices.FindingsBrand combinations, uniqueness and price significantly impact consumer desirability of luxury co-branding combinations. The luxury brand and sportswear combination results in the highest desirability when price is more similar to the sportswear constituent and participants perceive that the collaboration as exclusive.Practical implicationsThe results suggest that luxury brands need to consider the partnering brand's retail format primarily for co-branding strategy. Luxury brand collaborations with sportswear and premium priced streetwear brands are more likely to result in higher desirability among consumers compared to collaborations with fast fashion and mass-market brands. Additionally, uniqueness may not be effective as a point of differentiation in cases where luxury brands cannot guarantee a single yearly collaboration.Originality/valueThe decision to use existing brands for the fictitious combinations developed more sensible scenarios for respondents. In addition, rather than discrete questions, attribute-based combinations provide a more realistic depiction of consumers' decision making on luxury co-branding. Finally, the results provide marketing practitioners with practical directions for future development of fashion luxury co-branding strategy.
An uncertain, erratic story: the pandemic in the UK
Authors: Lapsley Irvine 
Published: November 2020

Purpose
The purpose of this paper is to study the pandemic from the perspective of the UK health-care system and risk management.

Design/methodology/approach
This paper follows a storytelling perspective. The author reflects on his experiences through the lens of research on health care and risk management.

Findings
The impact of the pandemic has been so massive that it has challenged the capacity of the UKs National Health Service. The political influences at work have not always promoted best practice in risk management and indicate blame-avoidance strategies by politicians.

Research limitations/implications
A single country experience of COVID-19.

Practical implications
There are major issues of asset management, of delays in decision-making, of supply chain problems and the need to reform processes of handling of crisis management.

Originality/value
This is an individual account of experiences of the pandemic.
Pandemic policy making: the health and wellbeing effects of the cessation of volunteering on older adults during the COVID-19 pandemic
Authors: Grotz Jurgen , Dyson Sally , Birt Linda 
Published: November 2020

Purpose
This policy-orientated commentary aims to provide a perspective on the effects of policy changes designed to reduce the risk of infection as a result of COVID-19. The example of the abrupt cessation of volunteering activities is used to consider the policy and practice implications that need to be acknowledged in new public service research to deal with the on-going implications of the COVID-19 pandemic and for future preparedness.

Design/methodology/approach
The paper will provide a critical challenge to English pandemic health policy making, in particular, the national instruction “to stop non-essential contact with others” without a strategy on how to remedy the serious side effects of this instruction, in particular on older adults.

Findings
The abrupt cessation of volunteering activities of and for older people because of the COVID-19 pandemic is highly likely to have negative health and wellbeing effects on older adults with long-term and far-reaching policy implications.

Originality/value
The paper combines existing knowledge volunteering of and for older adults with early pandemic practice evidence to situate an emerging health and wellbeing crisis for older adults. It emphasises the importance of immediate further detailed research to provide evidence for policy and practice following the lifting of COVID-19 related restrictions and in preparation for future crises.
Talent management after an acquisition: a case study of Roche and Genentech
Authors: Béraud Mathilde , Drajac Carole , Thomas Mark 
Published: November 2020

Purpose
As the pharmaceutical industry faces a more changing environment, talent management appears to be a key differentiating element. Key talent retention strategies must be assessed during the mergers and acquisitions negotiations and implemented during post-acquisition integration. The purpose of this paper is to show how this can be done.

Design/methodology/approach
The paper adopts a single-case approach to show how talent can be managed during the post-acquisition phase after a takeover. Focussing on the acquisition of Genentech by Roche in 2009, it demonstrates how the Swiss pharmaceutical giant overcame a difficult initial start to the acquisition by adopting a nuanced talent management strategy.

Findings
The findings from this paper demonstrate best practice management and retention strategies needed to retain key talent. A decade after the acquisition, the Roche–Genentech tie-up is cited as one of the most successful in the life sciences industry. Roche’s talent management strategy has gained particular applause with Genentech consistently being named one of the best places to work (Wharton Work/Life, 2016). Investors are equally content. Sales of Genentech’s main products have tripled to $21bn since the acquisition.

Originality/value
This paper offers a concise and clear outline of the HR strategies used by Roche to ensure the successful integration of Genentech. During the takeover, talent management issues had the potential to be particularly acute given the highly independent DNA of Genentech’s organisation structure. As the pharmaceutical industry faces a more changing environment, efficient talent management appears to be a key differentiating element.