bluuebunny/crossref_metadata_2025_split huggingface dataset:
Brain endothelial STING1 activation by Plasmodium-sequestered heme promotes cerebral malaria via type I IFN response
Authors: Pais Teresa F. , Ali Hajrabibi , Moreira da Silva Joana , Duarte Nádia , Neres Rita , Chhatbar Chintan , Acúrcio Rita C. , Guedes Rita C. , Moraes Maria Carolina Strano , Silva Bruno Costa , Kalinke Ulrich , Penha-Gonçalves Carlos 
Published: February 2022

AbstractCerebral malaria (CM) is a life-threatening form of Plasmodium falciparum infection caused by brain inflammation. Brain endothelium dysfunction is a hallmark of CM pathology, which is also associated with the activation of the type I interferon (IFN) inflammatory pathway. The molecular triggers and sensors eliciting brain type I IFN cellular responses during CM remain largely unknown. We herein identified the stimulator of interferon response cGAMP interactor 1 (STING1) as the key innate immune sensor that induces Ifnβ1 transcription in the brain of mice infected with Plasmodium berghei (Pba). This STING1/IFNβ-mediated response increases brain CXCL10 governing the extent of brain leucocyte infiltration and blood-brain barrier (BBB) breakdown, and determining CM lethality. The critical role of brain endothelial cells (BECs) in fueling type I IFN-driven brain inflammation was demonstrated in brain endothelial-specific IFNβ-reporter and STING1-deficient Pba-infected mice, which are significantly protected from CM lethality. Moreover, extracellular particles (EPs) released from Pba-infected erythrocytes activated STING1-dependent type I IFN response in BECs, a response requiring intracellular acidification. Fractionation of the EPs enabled us to identify a defined fraction carrying hemoglobin degradation remnants that activates STING1/IFNβ in the brain endothelium, a process correlated with heme content. Notably, stimulation of STING1-deficient BECs with heme, docking experiments and in vitro binding assays unveiled that heme is a putative STING1 ligand. This work shows that heme resultant from the parasite heterotrophic activity operates as an alarmin triggering brain endothelial inflammatory responses via STING1/IFNβ/CXCL10 axis crucial to CM pathogenesis and lethality.SignificanceCM results from loss of blood-brain endothelial barrier function caused by unrestrained inflammatory response in the natural course of infection by Plasmodium parasites. However, the role of brain endothelium in triggering inflammatory mechanisms is still undetermined. We found that the innate immune sensor STING1 is crucial for production of IFNβ in brain endothelial cells in Plasmodium-infected mice. This in turn stimulates CXCL10-mediated recruitment of leukocytes and subsequent brain inflammation and tissue damage. We identified within extracellular particles released from Plasmodium-infected erythrocytes, a fraction containing products of hemoglobin degradation, namely heme, which we show can bind STING1. Our results unravel a new angle of CM pathogenesis: heme contained in particles triggers the STING/IFNβ/CXCL10 axis in brain endothelial cells.
Genomic profiling of HIV-1 integration in microglia links viral insertions to TAD organization
Authors: Rheinberger Mona , Costa Ana Luisa , Kampmann Martin , Glavas Dunja , Shytaj Iart Luca , Penzo Carlotta , Tibroni Nadine , Fackler Oliver T. , Vlahovicek Kristian , Lucic Bojana , Herrmann Carl , Lusic Marina 
Published: February 2022

ABSTRACTHIV-1 persists in anatomically distinct cellular and tissue reservoirs as a stably integrated provirus that is a major barrier to HIV-1 cure. Proviral insertions are largely characterized in blood cells, while HIV-1 integration patterns remain unexplored in microglia, the major brain reservoir. Here, we employ genomics approaches to obtain the first HIV-1 integration site (IS) profiling in microglia and perform in-depth analysis of transcriptome, specific histone signatures and chromatin accessibility on different genomic scales. We show that HIV-1 follows genic insertion patterns into introns of actively transcribed genes, characteristic of blood reservoirs. HIV-1 insertional hotspot analysis by non-negative matrix factorization (NMF)-based approach clusters IS signatures with genic- and super-enhancers. Chromatin accessibility transcription factor (TF) footprints reveal that increased CTCF binding marks latently infected microglia compared to productively infected one. We identify CTCF-enriched topologically associated domain (TAD) borders with signatures of active chromatin as a neighborhood for HIV-1 integration in microglia and CD4+T cells. Our findings further strengthen the notion that HIV-1 follows the patterns of host cell genome organization to integrate and to establish the silent proviral state and reveal that these principles are largely conserved in different anatomical latent reservoirs.
Virological characteristics of SARS-CoV-2 BA.2 variant
Authors: Yamasoba Daichi , Kimura Izumi , Nasser Hesham , Morioka Yuhei , Nao Naganori , Ito Jumpei , Uriu Keiya , Tsuda Masumi , Zahradnik Jiri , Shirakawa Kotaro , Suzuki Rigel , Kishimoto Mai , Kosugi Yusuke , Kobiyama Kouji , Hara Teppei , Toyoda Mako , Tanaka Yuri L , Butlertanaka Erika P , Shimizu Ryo , Ito Hayato , Wang Lei , Oda Yoshitaka , Orba Yasuko , Sasaki Michihito , Nagata Kayoko , Yoshimatsu Kumiko , Asakura Hiroyuki , Nagashima Mami , Sadamasu Kenji , Yoshimura Kazuhisa , Kuramochi Jin , Seki Motoaki , Fujiki Ryoji , Kaneda Atsushi , Shimada Tadanaga , Nakada Taka-aki , Sakao Seiichiro , Suzuki Takuji , Ueno Takamasa , Takaori-Kondo Akifumi , Ishii Ken J , Schreiber Gideon ,   The Genotype to Phenotype Japan (G2P-Japan) Consortium, Sawa Hirofumi , Saito Akatsuki , Irie Takashi , Tanaka Shinya , Matsuno Keita , Fukuhara Takasuke , Ikeda Terumasa , Sato Kei 
Published: February 2022

AbstractSoon after the emergence and global spread of a new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron lineage, BA.1 (ref1, 2), another Omicron lineage, BA.2, has initiated outcompeting BA.1. Statistical analysis shows that the effective reproduction number of BA.2 is 1.4-fold higher than that of BA.1. Neutralisation experiments show that the vaccine-induced humoral immunity fails to function against BA.2 like BA.1, and notably, the antigenicity of BA.2 is different from BA.1. Cell culture experiments show that BA.2 is more replicative in human nasal epithelial cells and more fusogenic than BA.1. Furthermore, infection experiments using hamsters show that BA.2 is more pathogenic than BA.1. Our multiscale investigations suggest that the risk of BA.2 for global health is potentially higher than that of BA.1.
Bile Acid Restrained T Cell Activation Explains Cholestasis Aggravated Hepatitis B Virus Infection
Authors: Ding Chujie , Hong Yu , Che Yuan , He Tianyu , Wang Yun , Zhang Shule , Wu Jiawei , Xu Wanfeng , Hou Jingyi , Cao Lijuan , Hao Haiping 
Published: February 2022

AbstractCholestasis is a common complication of Hepatitis B Virus (HBV) infection, characterized by increased intrahepatic and plasma bile acid levels. Cholestasis was found negatively associated with hepatitis outcome, however; the exact mechanism by which cholestasis impact on anti-viral immunity and impede HBV clearance remains elusive. Here, we found that cholestatic mice are featured with dysfunctional T cell response, and bile acids inhibit the activation and metabolic reprogramming of CD4+ T cells. Mechanistically, bile acids disrupt intracellular calcium homeostasis via inhibiting mitochondria calcium uptake and elevating cytoplasmic Ca2+ concentration of CD4+ T cells, leading to STIM1 and ORAIL1 decoupling and impaired store-operated Ca2+ entry which is essential for NFAT signaling and T cell activation. Moreover, in a transgenic mouse model of HBV infection, it was confirmed that cholestasis compromised T cells activation resulting in poor viral clearance. Collectively, our results suggest that bile acids play pivotal roles in anti-HBV infection via controlling T cells activation and metabolism, and that targeting regulation of bile acids may be a therapeutic strategy for host virus defense.
TiDeTree: A Bayesian phylogenetic framework to estimate single-cell trees and population dynamic parameters from genetic lineage tracing data
Authors: Seidel Sophie , Stadler Tanja 
Published: February 2022

AbstractThe development of a multicellular organism is governed by an elaborate balance between cell division, death, and differentiation. These core developmental processes can be quantified from single-cell phylogenies. Here we present TiDeTree, a Bayesian phylogenetic framework for inference of time-scaled single-cell phylogenies and population dynamic parameters such as cell division, death, and differentiation rates from genetic lineage tracing data. We show that the performance of TiDeTree can be improved by incorporating multiple sources of additional independent information into the inference. Finally, we apply TiDeTree to a lineage tracing dataset to estimate time-scaled phylogenies, cell division, and apoptosis rates. We envision TiDeTree to find wide application in single-cell lineage tracing data analysis which will improve our understanding of cellular processes during development. The source code of TiDeTree is publicly available at https://github.com/seidels/tidetree.
Dynamic S-acylation of STIM1 is required for store-operated Ca2+ entry
Authors: Kodkandla Goutham , West Savannah J , Wang Qiaochu , Tewari Ritika , Zhu Michael X. , Akimzhanov Askar M. , Boehning Darren 
Published: February 2022

AbstractMany cell surface stimuli cause calcium release from endoplasmic reticulum (ER) stores to regulate cellular physiology. Upon ER calcium store depletion, the ER-resident protein STIM1 physically interacts with plasma membrane protein Orai1 to induce calcium release-activated calcium (CRAC) currents that conduct calcium influx from the extracellular milieu. Although the physiological relevance of this process is well established, the mechanism supporting the assembly of these proteins is incompletely understood. Earlier we demonstrated a previously unknown post-translational modification of Orai1 with long chain fatty acids, known as S-acylation. We found that S-acylation of Orai1 is dynamically regulated in a stimulus-dependent manner and essential for its function as a calcium channel. Here we show that STIM1 is also rapidly and transiently S-acylated at cysteine 437 upon ER calcium store depletion. S-acylation of STIM1 is required for the assembly of STIM1 into puncta with Orai1 and full CRAC channel function. Together with the S-acylation of Orai1, our data suggest that stimulus-dependent S-acylation of CRAC channel components Orai1 and STIM1 is a critical mechanism facilitating CRAC channel assembly and function.
Acceptance of product placement in social networking sites: the mediating role of materialism
Authors: Wijesundara Tharaka , Kumara Samantha 
Published: February 2022

Purpose
The purpose of this study is to examine the predictors of product placement acceptance in social networking sites (SNSs) and the mediating role of consumer materialism in the relationship between SNSs usage frequency and product placement acceptance.

Design/methodology/approach
A survey was conducted with a structured questionnaire for a sample of 327 SNSs users in Sri Lanka. The collected data were analyzed using partial least squares–structural equation modeling with Smart PLS to test the hypotheses derived.

Findings
The results of this study revealed that SNSs usage frequency and consumer materialism positively predict the acceptance of product placement in SNSs and materialism partially mediates the relationship between SNSs usage frequency and product placement acceptance in SNSs.

Originality/value
This study fills the gap in the existing literature by finding the factors that predict the acceptance of product placement in SNSs and the mediation effect of consumer materialism in the relationship between SNSs usage frequency and acceptance of product placement in SNSs.
Quality of hire: expanding the multi-level fit employee selection using machine learning
Authors: Shet Sateesh , Nair Binesh 
Published: February 2022

Purpose
Organizational psychologists and human resource management (HRM) practitioners often have to select the “right fit” candidate by manually scouting data from various sources including job portals and social media. Given the constant pressure to lower the recruitment costs and the time taken to extend an offer to the right talent, the HR function has to inevitably adopt data analytics and machine learning for employee selection. This paper aims to propose the “Quality of Hire” concept for employee selection using the person-environment (P-E) fit theory and machine learning.

Design/methodology/approach
The authors demonstrate the aforementioned concept using a clustering algorithm, namely, partition around mediod (PAM). Based on a curated data set published by the IBM, the authors examine the dimensions of different P-E fits and determine how these dimensions can lead to selection of the “right fit” candidate by evaluating the outcome of PAM.

Findings
The authors propose a multi-level fit model rooted in the P-E theory, which can improve the quality of hire for an organization.

Research limitations/implications
Theoretically, the authors contribute in the domain of quality of hire using a multi-level fit approach based on the P-E theory. Methodologically, the authors contribute in expanding the HR analytics landscape by implementing PAM algorithm in employee selection.

Originality/value
The proposed work is expected to present a useful case on the application of machine learning for practitioners in organizational psychology, HRM and data science.
Prioritisation of resilience criteria and performance indicators for road emergencies crisis response: an analytic hierarchy process (AHP) approach
Authors: Aziz Zeeshan , Alzaabi Ebrahim , Syazli Fathi Mohamad 
Published: February 2022

Purpose
This paper aims to develop a crisis readiness framework for road traffic crisis response for law enforcement agencies in the United Arab Emirates (UAE).

Design/methodology/approach
A Delphi method was used that combined questionnaire-based survey and the analytical hierarchy process to collect quantitative and qualitative data from an expert panel of crisis readiness professionals on how they prioritise and weigh the different strategic criteria, sub-criteria and performance indicators in the context of law enforcement agencies’ traffic response.

Findings
The findings of this paper resulted in the identification, ranking and validation of ten key dimensions of crisis readiness clustered into three distinct sets of priority rankings: response planning, resources, training and coordination; information management and communication and risk and hazard assessment; and early warning, legal and institutional frameworks, recovery initiation and property protection. The results additionally established the relative priority of sub-criteria for each criterion and validated a broad set of key performance indicators (KPIs) for the top six ranked criteria.

Research limitations/implications
The findings are based on a single case study focused on a specific area of operation within crisis response and one group of organisations of the UAE police sector. This potentially places a constraint on the wider generalisation of the findings to different operational areas and agencies, as they may have different priorities or organisational conditions that have implications for the framework application and the relative importance of certain criteria and sub-criteria.

Practical implications
This paper provides strategic guidance in the form of a prioritised list of criteria, sub-criteria and KPIs that can direct efforts to optimise different dimensions of crisis readiness at a strategic and operational level.

Originality/value
This paper makes an original contribution in identifying the key criteria and performance indicators of crisis readiness for road traffic situations. The findings contribute a comprehensive strategic readiness framework that supports planning and decision-making for the development of organisational capacities that can enhance response times of police to road traffic crises. This framework ranks dimensions of crisis readiness and key sub-criteria in order of priority and validates the key components of crisis readiness that can support practitioners to structure, standardise and benchmark key processes and elements of crisis response.
Moving Koha library catalogue into linked data using the LODRefine
Authors: Mandal Sukumar , Saha Sujan 
Published: February 2022

Purpose
The purpose of this paper is to investigate connected data through the use of open-source technology. It demonstrates the transformation process from library bibliographic data to linked data, which allows for easy searching across numerous collections of information.

Design/methodology/approach
In generating this file, a high-level operating system such as Ubuntu, which is based on the LAMP architecture, is used. It is required to use open-source strategies in building the relevant information. LODRefine is being used to convert all of Koha's bibliographic data into linked data that is now available on the Web. This framework has been conceptualized and formulated based on linked data principles and search algorithms accordingly.

Findings
Linked data services have been made publicly available to library users by using a variety of different forms of data. Information may be sought quickly and easily using this interface built on numerous search structures. Aside from that, it also meets the needs of users who use the linked data search mechanism to find information. Through modern scripts and algorithms, it is now possible for library users to easily search the linked data enables services.

Originality/value
This paper demonstrates how quickly and easily related data from bibliographic details may be developed and generated using a spreadsheet. The entire procedure culminates in the presence of specialists in the library setting. A further advantage of the SPARQL system is that it allows visitors to group distinct concepts and aspects using independent URIs and URLs instead of the SPARQL endpoint.
What does 40 years of regional and business competitiveness in tourism research reveal?
Authors: Correa Cynthia C. , Ferreira João J. 
Published: February 2022

Purpose
This study aims to analyze the existing empirical literature on regional and business competitiveness in tourism to identify and classify the main themes in this knowledge domain and suggest a future research agenda.

Design/methodology/approach
The authors identified the main themes in the existing research and research gaps through a systematic review of 62 empirical studies from 1980 to 2020.

Findings
The literature review allowed the authors to identify three main themes: cooperation networks, business strategies and regional development. A conceptual model is developed based on this typology, and a future research agenda is proposed.

Originality/value
Despite the diverse contributions of the literature on the value of tourism for destinations' competitiveness, there is a lack of empirical evidence of companies’ competitiveness in the tourism sector and tourist destinations. The present study contributes to the systematic evidence of these practices and identifies relevant factors for policy making to improve tourist destinations’ competitiveness.
Online classes for higher education in Bangladesh during the COVID-19 pandemic: a perception-based study
Authors: Rouf Md. Abdur , Hossain Mohammad Sharif , Habibullah Md. , Ahmed Tanvir 
Published: February 2022

PurposeThe main purpose of this paper is to find out the perception of different respondents' groups related to the factors that influence the online learning for higher education in Bangladesh during the COVID-19 pandemic.Design/methodology/approachA survey through a structured questionnaire was conducted to gather qualitative information from the 250 respondents (university students, faculty members and administrative officers) in Bangladesh. A questionnaire has been used for collecting primary data, which have been selected using the justification method under the non-probability sampling technique.FindingsThe findings of this study indicated that majority of the respondents told that online classes could be more challenging than the traditional classroom because of the technological constraints, digital divide, insufficient data pack to access the material to attend the class, poor connectivity, lack of device, poor learning environment, technophobia, delayed response and incapability of the teacher to handle efficiently the material and communication machineries.Research limitations/implicationsDue to time restriction and the COVID-19 pandemic, the study was constrained only to Dhaka region in Bangladesh.Practical implicationsThe outcomes of the work can be supportive to the governing bodies and proprietors of the higher schooling organizations who are forecasting to adopt online education as a consistent movement in the future.Originality/valueAt last, based on outcomes, investigators have presented some recommendations that can be taken into consideration at policy level. The study would help universities to comply with the pressing need to impart experiential learning through online education during the COVID-19 pandemic.
Multifunctional finishing of cotton using zinc oxide and silicon dioxide nanoparticles along with DMDHEU
Authors: Singh Aakanksha , Chakraborty J.N. 
Published: February 2022

Purpose
This study aims at evaluating the properties of cotton fabric after nanofinishing using zinc oxide and silicon dioxide nanoparticles along with dimethylol dihydroxyethylene urea (DMDHEU).

Design/methodology/approach
DMDHEU recipes was optimized by Box-Behnken Design before using it with nanoparticles. These nanoparticles were synthesized by sol gel technique and applied to the fabric by pad-dry-cure method. The treated samples were evaluated for functional properties such as self-cleaning, antibacterial and ultraviolet (UV) protection properties.

Findings
Due to the use of DMDHEU, crease recovery property was obtained. The results showed good antibacterial property against S-aureus (gram positive) bacteria and E-coli (gram negative). UV protection property of combined nano-finished samples showed good results, as they showed very low transmission of UV-irradiation when exposed to UV-rays compared to single nanoparticle finished samples. Self-cleaning property of finished cotton was found to be good even after five washing cycles.

Originality/value
In this study, nanofinishing of cotton fabric with zinc oxide and silicon dioxide nanoparticles along with DMDHEU was studied to achieve promising functional properties with long durability of nanofinishing not studied earlier.