bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cell type specific IL-27p28 (IL-30) deletion uncovers an unexpected regulatory function of IL-30 in autoimmune inflammation
Authors: Kim Dongkyun , Kim Sohee , Kang Myung-su , Yin Zhinan , Min Booki 
Published: January 2022

AbstractIL-27 is an IL-12 family cytokine with immune regulatory properties, capable of modulating inflammatory responses, including autoimmunity. While extensive studies investigated the major target cells of IL-27 mediating its functions, the source of IL-27 especially during tissue specific autoimmune inflammation has not formally been examined. IL-27p28 subunit, also known as IL-30, was initially discovered as an IL-27-specific subunit, and it has thus been deemed as a surrogate marker to denote IL-27 expression. However, IL-30 can be secreted independently of Ebi3, a subunit that forms bioactive IL-27 with IL-30. Moreover, IL-30 itself may act as a negative regulator antagonizing IL-27. In this study, we exploited various cell type specific IL-30-deficient mouse models and examined the source of IL-30 in T cell mediated autoimmune neuroinflammation. We found that IL-30 expressed by infiltrating and CNS resident APC subsets, infiltrating myeloid cells, microglia, and astrocytes, is key limiting the inflammation. However, dendritic cell-derived IL-30 was dispensable for the disease development. Unexpectedly, in cell type specific IL-30 deficient mice that develop severe EAE, IL-30 expression in the remaining wild-type APC subsets is disproportionately increased, suggesting that increased endogenous IL-30 production may be involved in the severe pathogenesis. In support, systemic recombinant IL-30 administration induced severe EAE. Our results demonstrate that dysregulated endogenous IL-30 expression may interfere with immune regulatory functions of IL-27, promoting encephalitogenic inflammation in vivo.
The last missing piece of the Triangle of U: the evolution of the tetraploid Brassica carinata genome
Authors: Yim Won Cheol , Swain Mia L. , Ma Dongna , An Hong , Bird Kevin A. , Curdie David D. , Wang Samuel , Don Ham Hyun , Luzuriaga-Neira Agusto , Kirkwood Jay S. , Hur Manhoi , Solomon Juan K. Q. , Harper Jeffrey F. , Kosma Dylan K. , Alvarez-Ponce David , Cushman John C. , Edger Patrick P. , Mason Annaliese S. , Pires J. Chris , Tang Haibao , Zhang Xingtan 
Published: January 2022

AbstractEthiopian mustard (Brassica carinata) is an ancient crop with significant potential for expanded cultivation as a biodiesel feedstock. The remarkable stress resilience of B. carinata and desirable seed fatty acid profile addresses the ongoing food vs. fuel debate as the crop is productive on marginal lands otherwise not suitable for even closely related species. B. carinata is one of six key Brassica spp. that share three major genomes: three diploid species (AA, BB, CC) that spontaneously hybridized in a pairwise manner, forming three allotetraploid species (AABB, AACC, and BBCC). Each of these genomes has been researched extensively, except for that of B. carinata. In the present study, we report a high-quality, 1.31 Gbp genome with 156.9-fold sequencing coverage for B. carinata var. Gomenzer, completing and confirming the classic Triangle of U, a theory of the evolutionary relationships among these six species that arose almost a century ago. Our assembly provides insights into the genomic features that give rise to B. carinata’s superior agronomic traits for developing more climate-resilient Brassica crops with excellent oil production. Notably, we identified an expansion of transcription factor networks and agronomically-important gene families. Completing the Triangle of U comparative genomics platform allowed us to examine the dynamics of polyploid evolution and the role of subgenome dominance in domestication and agronomical improvement.
High-throughput analysis of ANRIL circRNA isoforms in human pancreatic islets
Authors: MacMillan Hannah J. , Kong Yahui , Calvo-Roitberg Ezequiel , Alonso Laura C. , Pai Athma A. 
Published: January 2022

ABSTRACTThe antisense non-coding RNA in the INK locus (ANRIL) is a hotspot for genetic variants associated with cardiometabolic disease. We recently found increased ANRIL abundance in human pancreatic islets from donors with certain Type II Diabetes (T2D) risk-SNPs, including a T2D risk-SNP located within ANRIL exon 2 associated with beta cell proliferation. Recent studies have found that expression of circular species of ANRIL is linked to the regulation of cardiovascular phenotypes. Less is known about how the abundance of circular ANRIL may influence T2D phenotypes. Herein, we sequence circular RNA in pancreatic islets to characterize circular isoforms of ANRIL. We identify highly expressed circular ANRIL isoforms whose expression is correlated across dozens of individuals and characterize ANRIL splice sites that are commonly involved in back-splicing. We find that samples with the T2D risk allele in ANRIL exon 2 had higher ratios of circular to linear ANRIL compared to protective-allele carriers, and that higher circular:linear ANRIL was associated with decreased beta cell proliferation. Our study points to a combined involvement of both linear and circular ANRIL species in T2D phenotypes and opens the door for future studies of the molecular mechanisms by which ANRIL impacts cellular function in pancreatic islets.
Got Milk? Maternal immune activation during the mid-lactational period affects nutritional milk quality and adolescent offspring sensory processing in male and female rats
Authors: DeRosa Holly , Caradonna Salvatore G. , Tran Hieu , Marrocco Jordan , Kentner Amanda C. 
Published: January 2022

AbstractPrevious studies have underscored the importance of breastfeeding and parental care on offspring development and behavior. However, their contribution as dynamic variables in animal models of early life stress are often overlooked. In the present study, we investigated how lipopolysaccharide (LPS)-induced maternal immune activation (MIA) on postnatal day (P)10 affects maternal care, milk, and offspring development. MIA was associated with elevated milk corticosterone concentrations on P10, which recovered by P11. In contrast, both milk triglyceride and percent creamatocrit values demonstrated a prolonged decrease following inflammatory challenge. Adolescent MIA offspring were heavier, which is often suggestive of poor early life nutrition. While MIA did not decrease maternal care quality, there was a significant compensatory increase in maternal licking and grooming the day following inflammatory challenge. However, this did not protect against disrupted neonatal huddling or later-life alterations in sensorimotor gating, conditioned fear, mechanical allodynia, or reductions in hippocampal parvalbumin expression in MIA offspring. MIA-associated changes in brain and behavior were likely driven by differences in milk nutritional values and not by direct exposure to LPS or inflammatory molecules as neither LPS binding protein nor interleukin-6 milk levels differed between groups. These findings reflected comparable microbiome and transcriptomic patterns at the genome-wide level. Animal models of early life stress can impact both parents and their offspring. One mechanism that can mediate the effects of such stressors is changes to maternal lactation quality which our data show can confer multifaceted and compounding effects on offspring physiology and behavior.
The Mitochondrial RNA Granule Modulates Manganese-Dependent Cell Toxicity
Authors: Werner E. , Gokhale A. , Ackert M. , Xu C. , Wen Z. , Roberts A. M. , Roberts B. R. , Vrailas-Mortimer A. , Crocker A. , Faundez V. 
Published: January 2022

AbstractProlonged manganese exposure causes manganism, a neurodegenerative movement disorder. The identity of adaptive and non-adaptive cellular processes targeted by manganese remains mostly unexplored. Here we study mechanisms engaged by manganese in genetic cellular models known to increase susceptibility to manganese exposure, the plasma membrane manganese efflux transporter SLC30A10 and the mitochondrial Parkinson’s gene PARK2. We found that SLC30A10 and PARK2 mutations as well as manganese exposure compromised the mitochondrial RNA granule as well as mitochondrial transcript processing. These RNA granule defects led to impaired assembly and function of the mitochondrial respiratory chain. Notably, cells that survived a cytotoxic manganese challenge had impaired RNA granule function, thus suggesting that this granule phenotype was adaptive. CRISPR gene editing of subunits of the mitochondrial RNA granule, FASTKD2 or DHX30, as well as pharmacological inhibition of mitochondrial transcription-translation, were protective rather than deleterious for survival of cells acutely exposed to manganese. Similarly, adultDrosophilamutants with defects in the mitochondrial RNA granule componentscullywere safeguarded from manganese-induced mortality. We conclude that the downregulation of the mitochondrial RNA granule function is a protective mechanism for acute metal toxicity.Significance StatementMutations in the manganese efflux transporter SLC30A10 and the mitochondrial Parkinson’s gene PARK2, cause neurodegeneration and increased susceptibility to toxic manganese exposure. Thus, molecular processes affected in both mutants could offer insight into fundamental mechanisms conferring susceptibility or resilience to environmental and genetic factors associated with neurodegeneration. Here we report that SLC30A10 and PARK2 mutations compromise an understudied structure, the mitochondrial RNA granule, which is required for processing polycistronic mitochondrial RNAs. Cells andDrosophilalacking mitochondrial RNA granule components were resistant to manganese exposure. We conclude that the downregulation of the mitochondrial RNA granule function is an adaptive mechanism for cells exposed to manganese.
Digital library services to support online learning amid COVID-19: a study of a private university library in Bangladesh
Authors: Begum Dilara , Elahi Md. Hasinul 
Published: January 2022

Purpose
The purpose of this paper is to discuss the East West University Library’s (EWUL’s) response to COVID-19 situation through their transformation to digital services. The paper tries to explain how these digital library services support the user community of East West University (EWU) in online teaching and access to information resources.

Design/methodology/approach
This paper describes the EWUL’s several digital services that are used to meet the needs of its user community during the COVID-19 pandemic. The reflective practice approach has been undertaken for this study on the basis of the authors’ personal experiences working at an academic library. The authors used the reflective practice approach to assess the library’s practice during crisis situation, make the use of technological interventions in service providing and also to re-innovate the digital services for future.

Findings
During the pandemic, the library shifted all the possible physical or on-site services to digital services, i.e. online resource facilities and remote access to these, federated searching, Web online public access catalog, engaging users through social media, specialized knowledge space, online document delivery, article on request, information literacy training, virtual reference service, etc. The user engagement in all these services is also notable.

Research limitations/implications
The nature of this study is limited to the COVID-19 pandemic and within a particular geographic location.

Practical implications
This paper has implications and possible applications for other university libraries in developing countries, which intends to transform their services into digital for ensuring better service quality for their respective user community.

Originality/value
This paper makes a valuable contribution to the literature on how a private university library of a developing country is responding to pandemics such as COVID-19.
Digitalization and subjective wellbeing in Europe
Authors: Elmassah Suzanna , Hassanein Eslam A. 
Published: January 2022

Purpose
This study aims to analyze the effect of digitalization on 28 European countries’ subjective wellbeing by using macro (aggregate level) indicators.

Design/methodology/approach
The research investigates the impact of digitalization (Digital Economy and Society Index [DESI]) on life satisfaction through its components. The study uses several models based on the two-stage least squares method.

Findings
The findings show that internet connectivity, use of the internet and integrated digital technology are positively related to life satisfaction. Furthermore, the results revealed that human capital and digital public services are negatively associated with it. The study also suggested that digital skills, e-health, and e-government services do not necessarily increase an individual’s life satisfaction level. The internet’s use appeared to be the most effective digitalization component in affecting life satisfaction in Europe.

Research limitations/implications
The study is based on the DESI index from 2014 to 2019. Although it does not influence the outcome, future research may consider additional indexes such as Digital Adoption Index and Digital Transformation Index and extend the study period.

Practical implications
The study helps the policymakers directing their attention to the importance of digitalization on life satisfaction.

Originality/value
This work extends the limited understanding of subjective wellbeing, digitalization and the digital economy and society index in terms of theoretical implications.
Evaluation of regional low-carbon circular economy development: a case study in Sichuan province, China
Authors: Ye Meng , Deng Fumin , Yang Li , Liang Xuedong 
Published: January 2022

Purpose
This paper aims to build a scientific evaluation index system for regional low-carbon circular economic development. Taking Sichuan Province as the empirical research object, the paper evaluates its low-carbon circular economy (LCCE) development level and proposes policy recommendations for climate change improvement based on the evaluation results.

Design/methodology/approach
This paper, first, built an evaluation index system with 30 indicators within six subsystems, namely, economic development, social progress, energy consumption, low-carbon emissions, carbon sink capacity and environmental carrying capacity. Second, develop an “entropy weight-grey correlation” evaluation method. Finally, from a practical point of view, measure the development level of LCCE in Sichuan Province, China, from 2008 to 2018.

Findings
It was found that Sichuan LCCE development had a general downward trend from 2008 to 2012 and a steady upward trend from 2012 to 2018; however, the overall level was low. The main factors affecting the LCCE development are lagging energy consumption and environmental carrying capacity subsystem developments.

Research limitations/implications
This paper puts forward relevant suggestions for improving the development of a low-carbon economy and climate change for the reference of policymakers.

Originality/value
This paper built an evaluation index system with 30 indicators for regional low carbon circular economic development. The evaluation method of “entropy weight-grey correlation” is used to measure the development level of regional LCCE in Sichuan Province, China.
The power of strategic knowledge management in the relationship between innovation and the performance of large manufacturing firms in Malaysia
Authors: AlQershi Nagwan Abdulwahab , Ali Gamal Abdualmajed , Al-Rejal Hussein Abu , Al-Ganad Amr , Farhan Busenan Ebrahim , Ahmed Abobakr 
Published: January 2022

Purpose
This study aims to explore the interaction of strategic knowledge management (SKM) and innovation on the performance of large manufacturing firms (LMFs) in Malaysia.

Design/methodology/approach
This study used a quantitative approach in investigating this interaction. Smart partial least-squares analysis was performed to test the hypotheses.

Findings
It was observed that administrative innovation, process innovation and product innovation were effective drivers of LMF performance. It was also ascertained that SKM has no moderating effect on the product innovation relationship with performance, although it does moderate the relationships between LMF performance and administrative innovation and process innovation, respectively.

Research limitations/implications
The main limitation of this study is its focus on Malaysian LMFs. It nevertheless contributes to the literature by extending understanding of SKM and innovation dimensions from multi-faceted perspectives. As this is largely ignored in the literature, the study paves the way for additional research.

Practical implications
The findings may be used as guidelines for chief executive officers, particularly on the way SKM and innovation can be developed for enhanced LMF performance, in the context of South Asian countries.

Originality/value
To the best of the authors’ knowledge, this is the first empirical work to confirm the main drivers of SKM, including in the analysis the effect of administrative innovation, process innovation and product innovation and performance, in the context of the manufacturing sector. In support of an original conceptual model, the insights contribute to the literature on innovation, LMFs, SKM and emerging economies.
The emotional and social side of analytics professionals: an exploratory study of the behavioral profile of data scientists and data analysts
Authors: Bonesso Sara , Gerli Fabrizio , Bruni Elena 
Published: January 2022

PurposeAnalytics technologies are profoundly changing the way in which organizations generate economic and social value from data. Consequently, the professional roles of data scientists and data analysts are in high demand in the labor market. Although the technical competencies expected for these roles are well known, their behavioral competencies have not been thoroughly investigated. Drawing on the competency-based theoretical framework, this study aims to address this gap, providing evidence of the emotional, social and cognitive competencies that data scientists and data analysts most frequently demonstrate when they effectively perform their jobs, and identifying those competencies that distinguish them.Design/methodology/approachThis study is exploratory in nature and adopts the competency-based methodology through the analysis of in-depth behavioral event interviews collected from a sample of 24 Italian data scientists and data analysts.FindingsThe findings empirically enrich the extant literature on the intangible dimensions of human capital that are relevant in analytics roles. Specifically, the results show that, in comparison to data analysts, data scientists more frequently use certain competencies related to self-awareness, teamwork, networking, flexibility, system thinking and lateral thinking.Research limitations/implicationsThe study was conducted in a small sample and in a specific geographical area, and this may reduce the analytic generalizability of the findings.Practical implicationsThe skills shortages that characterize these roles need to be addressed in a way that also considers the intangible dimensions of human capital. Educational institutions can design better curricula for entry-level data scientists and analysts who encompass the development of behavioral competencies. Organizations can effectively orient the recruitment and the training processes toward the most relevant competencies for those analytics roles.Originality/valueThis exploratory study advances our understanding of the competencies required by professionals who mostly contribute to the performance of data science teams. This article proposes a competency framework that can be adopted to assess a broader portfolio of the behaviors of big data professionals.
Extending the research agenda on (ethical) coaching and mentoring in education: embracing mutuality and prioritising well-being
Authors: Hobson Andrew J. , van Nieuwerburgh Christian J. 
Published: January 2022

PurposeThe purpose of this paper is to present a review of the evidence base on coaching and mentoring in education, to provide a commentary on literature published in the first 10 volumes ofthe International Journal of Mentoring and Coaching in Education(IJMCE) in particular and to offer some directions for future research in the field.Design/methodology/approachThis review and position paper draws on the authors’ knowledge of the extant literature on coaching and mentoring in education, their own research in the field and their perspectives as editors of coaching and mentoring journals.FindingsAmong the outcomes of their review and commentary, the authors observe that coaching and mentoring research conducted to date largely occupies two separate fields, and studies published in one field frequently fail to draw on relevant literature from the other or recognise the overlap between them. The authors highlight a number of additional limitations of the evidence base on coaching and mentoring in education and offer some potential means of addressing these.Originality/valueThe paper offers an original reflection on current research into coaching and mentoring in education. It is intended that the paper will inform the design and publication of future studies in this area to strengthen the evidence base and, in turn, inform improvements to coaching and mentoring practice. In particular, the authors hope to encourage the ethical deployment of coaching and mentoring which enhances, rather than inhibits, the well-being of all participants, while realising other positive outcomes.
The impact of institutional factors on corporate mechanism of cash adjustment – New evidence from emerging Asia
Authors: Das Santanu , Kumar Ashish , Bhattacharyya Asit 
Published: January 2022

PurposeThe purpose of this study is to understand how the business environment of a country has an impact on cash management policies of the firms and also to investigate if there is any asymmetry in cash adjustment dynamics when a firm deviates from its long-term target of cash holdings.Design/methodology/approachUsing a sample of seven emerging Asian countries in the period 2001–2019, the authors investigate the role of country specific variables in the corporate cash holdings and their cash adjustment mechanism. They use the panel data regression method to estimate the results.FindingsThe authors find that the overall financial development of a country has a significant impact on corporate cash holdings and cash adjustment dynamics. When a firm has excess cash, the speed of adjustment towards the target is faster as compared to when it has deficit cash holdings. Further, when a firm holds excess cash, it adjusts towards the target using cash from investments; in case of deficit cash holdings, the adjustment happens via cash from financing activities.Practical implicationsThe results of the study are helpful to corporate managers as these are important references to them to understand and design cash management policies by considering factors that are measured at the country level. It also provides them a clearer understanding about the role of corporate board and information asymmetry in cash holdings.Originality/valueThis is the first study which examines the role of country-specific variables on corporate cash holdings and their adjustment mechanism of firms in emerging Asia. Further, the study extends the literature by providing new evidence that there is asymmetry in cash adjustment dynamics of firms after controlling for the overall financial development of a country.