bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploration of the single-cell transcriptomic landscape identifies aberrant glomerular cell crosstalk in a murine model of WT1 kidney disease
Authors: Chandler Jennifer C , Jafree Daniyal J , Malik Saif , Pomeranz Gideon , Ball Mary , Kolatsi-Joannou Maria , Piapi Alice , Mason William J , Woolf Adrian S , Winyard Paul J , Mason Andrew S , Waters Aoife M , Long David A 
Published: October 2022

AbstractThe glomerulus mediates kidney ultrafiltration through specialised epithelial cells called podocytes which line a basement membrane shared with blood capillary endothelium. Cell-cell crosstalk is critical for glomerular function, but its investigation in childhood glomerular diseases has received little attention.WT1encodes a transcription factor expressed in podocytes, whose heterozygous variants cause devastating kidney disease in childhood. We used single-cell RNA sequencing and ligand-receptor interaction analysis to resolve the glomerular transcriptional landscape of mice that carry an orthologous human mutation in WT1 (Wt1R394W/+). Podocytes were the most dysregulated cell type in early disease, with disrupted angiogenic signalling preceding glomerular capillary loss. Comparative analyses with additional murine and human glomerular disease datasets identified unique transcriptional changes in WT1 glomerular disease, reflecting a non-immunological pathology, whilst revealing a common injury signature across multiple glomerular diseases. Collectively, this work advocates vascular-based therapies over immunosuppressive drugs in the treatment of WT1 glomerular disease.
A genome-wide CRISPR interference screen using an engineered trafficking biosensor reveals a role for RME-8 in opioid receptor regulation
Authors: Novy Brandon , Adoff Hayden , De Maria Monica , Kampmann Martin , Tsvetanova Nikoleta G. , von Zastrow Mark , Lobingier Braden 
Published: October 2022

AbstractG protein-coupled receptors (GPCRs) are the largest family of membrane-bound signaling molecules. Activity of these receptors is critically regulated by their trafficking through the endo-lysosomal pathway. Identifying the genes involved in GPCR trafficking is challenging due the complexity of sorting operations and low affinity protein-protein interactions. Here we present a chemical biology fluorescence-based technique to interrogate GPCR trafficking. We show that the engineered enzyme APEX2 is a highly sensitive biosensor for GPCR trafficking to the lysosome, and this trafficking can be monitored through APEX-based activation of fluorogenic substrates such as Amplex UltraRed (AUR). We used this approach to perform a genome-wide CRISPR interference screen focused on the delta type opioid receptor (DOR), a GPCR which modulates anxiety, depression, and pain. The screen identified 492 genes including known- and novel-regulators of DOR expression and trafficking. We demonstrate that one of the novel genes, RME-8, localizes to early endosomes and plays a critical role in regulating DOR trafficking to the lysosome. Together, our data demonstrate that GPCR-APEX2/AUR is a flexible and highly sensitive chemical biology platform for genetic interrogation of receptor trafficking.
Critical pollination chemistry: Specific sesquiterpene floral volatiles in carrot inhibit honey bee feeding
Authors: Quarrell Stephen R. , Weinstein Alyssa M. , Hannah Lea , Bonavia Nicole , del Borrello Oscar , Flematti Gavin R. , Bohman Björn 
Published: October 2022

SummaryAlthough many plant species are reliant on insect pollination, agricultural plant breeding programs have primarily focused on traits that appeal to growers and consumers, rather than on floral traits that enhance pollinator attraction. In some vegetable seed production systems, this has led to declining pollinator attraction and poor seed yields.We predicted that low-yielding crop varieties would be less attractive to pollinators due to deficiencies in nectar rewards or volatile floral attractants. To test our prediction, we used a chemical phenotyping approach to examine how floral chemical traits of five carrot lines affect honey bee visitation.In bioassays, honey bees avoided feeders containing nectar from all carrot lines indicating a general non-attractant effect. Certain compounds in carrot flowers and nectar not only failed to elicit attraction but functioned as repellents, including the sesquiterpenes α-selinene and β-selinene. Others enhanced attraction, e.g. β-ocimene.The repellent sesquiterpenes have previously been implicated in plant defense suggesting a fine balance between pollination and plant protection, which when disrupted in artificial selection in plant breeding programs can impact the crop yield. These new insights highlight the importance of bioactive compounds in attracting pollinators toward floral resources in both ecological and agricultural settings.
Genome-wide identification of putative disease resistance genes (R genes) in carrot (Daucus carotasubsp.sativus) by homology-based gene prediction
Authors: Boudichevskaia Anastassia , Berner Thomas , Keilwagen Jens , Dunemann Frank 
Published: October 2022

AbstractThe cultivated carrot (Daucus carotassp.sativus) is one of the most important root vegetable crops grown worldwide. Carrots are highly susceptible to several pests and diseases, and disease resistance is currently among the main breeding aims. The inheritance of resistance has been reported for a few carrot foliar diseases and root-knot nematodes, but no functionally characterized resistance gene (R gene) has yet been linked as a candidate gene to any resistance locus in carrot. Knowledge about the inventory of NLR genes (nucleotide-binding leucine-rich repeat receptors) and other R genes encoding transmembrane proteins such as receptor-like proteins (RLPs) and kinases (KIN) would be necessary to associate major QTLs (quantitative trait loci) identified by bi-parental QTL analyses or GWAS (genome-wide association analysis) with functional candidate R genes. In this study, we describe a combination of a genome-wide inventory of putative full-length carrot R genes based on a homology-based gene prediction approach called GeMoMa and subsequent classification by usage of the recent version of PRGdb 4.0 database (Calle-Garcia et al. 2022). A total of 320 putative carrot R genes were identified and bioinformatically characterized, including 72 newly identified gene models, that have not yet been annotated in the currently available carrot whole genome sequence. Based on the DRAGO 3 pipeline, totally 137 putative NLR genes were found, whereas 162 putative functional RLP and KIN genes were identified in the carrot genome. About one third of the R genes was found to be organized in clusters consisting only of NLR, RLP or KIN genes. To determine the evolutionary relationships of carrot R gene predictions, we generated a phylogenetic tree based on the alignment of all 320 R proteins. Three large clades (NLR, RLP and KIN) and a small clade (RLK) were identified, which reflect well the classification obtained after DRAGO 3 analysis. The presented carrot R gene inventory might be useful for resistance gene isolation, the development of (functional) molecular markers and resistance breeding in carrot.
Missing voices in GRI standards? Distinct material concerns of Latin American stakeholders revealed by COVID-19
Authors: Hazelton James , Leong Shane , Tello Edward 
Published: October 2022

PurposeThis paper aims to explore the extent to which global reporting initiative (GRI) standards reflect the material concerns of stakeholders in developing countries, with particular reference to Latin America.Design/methodology/approachThe main dataset was a sample of 120 media articles that discussed corporate conduct related to COVID-19 from both developing (Chile, Mexico and Peru) and developed (Australia, UK and the USA) countries. Concerns evident from those articles were compared and then mapped to applicable GRI standards to identify relevant disclosures and gaps. Findings were triangulated by drawing on two additional datasets: Latin American GRI-related academic literature (in Spanish) and submissions to GRI standards.FindingsMedia analysis reveals significant differences between developing and developed country concerns, as well as gaps in GRI disclosure requirements in relation to customers, labour standards and corporate interactions with non-government organisations and governments. Analysis of Latin American literature corroborates the concerns raised in media articles regarding employment. Additionally, it points out country-specific issues and calls for increased reporting of corruption. Analysis of the GRI standards development process reveals marked underrepresentation of developing countries, which may contribute to the observed deficiencies in the GRI standards.Originality/valueThis paper contributes to the (surprisingly rare) research concerning the quality of GRI standards and responds to calls for greater attention to developing countries in the SEA literature by showing that GRI standards may not fully meet the needs of users in the developing country context of Latin America. The paper also contributes to practice via specific recommendations for improvement to GRI standards and the standard-setting process and provides a summary of the key findings from Spanish-language Latin American literature.
Influence of relational learning and job autonomy in associations between social capital resources and newcomer adjustment: a moderated mediation study
Authors: Harris Lisa , Cooper–Thomas Helena , Smith Peter , Cheung Gordon W. 
Published: October 2022

PurposeThis study aims to test the propositions of socialization resources theory, specifically focusing on social capital resources and their prediction of proximal (relational learning) and distal (job satisfaction and intent to quit) outcomes. The authors include the job design characteristic of job autonomy as a moderator of these associations.Design/methodology/approachCheung et al.’s (2021) four-step SEM procedure was used to test our mediation, moderation and moderated mediation hypotheses. The sample consisted of newcomers (N = 175) measured at two time points.FindingsThe results support the proposed model. Relational learning mediates the associations between social capital resources and outcomes; the utility of these social capital resources is stronger when job autonomy is lower.Practical implicationsOrganizations can use social capital resources to reduce newcomers' uncertainty during socialization, facilitating learning and positive outcomes. Organizations should also carefully consider the amount of job autonomy they grant to newcomers, as too much can be detrimental.Originality/valueDespite the acknowledged importance of workplace resources and relationships, few studies have focused on social resources provided during socialization. Moreover, job design is rarely included in socialization research, despite its influence on workplace processes. Thus, this study provides information about two novel areas of investigation: socially-oriented socialization resources and the impact of job autonomy.
Corporate governance and sustainability disclosure: evidence from Jordan
Authors: Alodat Ahmad Yuosef , Salleh Zalailah , Hashim Hafiza Aishah 
Published: October 2022

Purpose
This paper aims to examine the impact of corporate governance (CG) on sustainability disclosure (SD) from the perspectives of resource dependence, agency and stakeholder theories in the context of Jordan.

Design/methodology/approach
The analyses were based on 405 observations from non-financial firms listed on the Amman Stock Exchange, spanning the period of 2014–2018. The CG that influences SD was examined using panel data regression models.

Findings
The results of the current study show a positive and significant relationship between the extent of SG and the audit committee and board of directors’ effectiveness. In terms of ownership structure, both institutional and foreign ownerships yielded an insignificant relationship with the extent of SDs.

Practical implications
The analyses have implications for practitioners, policymakers, top management and corporate executives. Firms are encouraged to restructure their board of directors to enhance the effectiveness of the board to better monitor and support better SD.

Originality/value
To the best of the authors’ knowledge, this is the first study to examine the determinants of SD in Jordan firms. This paper adopted a newly developed global reporting initiative-based reporting index that identifies companies with good sustainability practices. This adds value to the existing sustainability literature.
Untangling the complexity generating material delivery “schedule instability”: insights from automotive OEMs
Authors: Shurrab Hafez , Jonsson Patrik 
Published: October 2022

PurposeChanges frequently made to material delivery schedules (MDSs) accumulate upstream in the supply chain (SC), causing a bullwhip effect. This article seeks to elucidate how dynamic complexity generates MDS instability at OEMs in the automotive industry.Design/methodology/approachAn exploratory multiple-case study methodology involved in-depth semistructured interviews with informants at three automotive original equipment manufacturers (OEMs).FindingsDynamic complexity destabilizes MDSs primarily via internal horizontal interactions between product and process complexities and demand and SC complexities. A network of complexity interactions causes and moderates such instability through complexity absorption and generation and complexity importation and exportation.Research limitations/implicationsThe multiple-case study contributes to empirical knowledge about the dynamics of MDS instability. Deductive research to validate the identified relationships remains for Future research.Practical implicationsIn revealing antecedents of complexity’s effect on MDS instability, the findings imply the need to develop strategies, programs, and policies dedicated to improving capacity scalability, supplier flexibility, and the flexibility of material order fulfillment.Originality/valueBuilding on complexity literature, the authors operationalize complexity transfer and develop a framework for analyzing dynamic complexity in SCs, focusing on complexity interactions. The identification and categorization of interactions provide a granular view of the dynamic complexity that generates MDS instability. The identified and proposed importance of readiness of the SC to absorb complexity challenges the literature focus on external factors for explaining complexity outcomes. The results can be used to operationalize such dynamic interactions by introducing new variables and networks of relationships. Moreover, the work showcases how a complexity perspective could be used to discern the root causes of a complex phenomenon driven by non-linear relationships.
Bank-specific factors and credit risk: evidence from Italian banks in different local markets
Authors: Barra Cristian , Ruggiero Nazzareno 
Published: October 2022

Purpose
Using bank-level data over the 1994–2015 period, the authors aim to investigate the role of bank-specific factors on credit risk in Italy by considering two different groups of banks, namely, cooperative and non-cooperative (commercial and popular), in different local markets.

Design/methodology/approach
Relying on highly territorially disaggregated data at labour market areas’ level, the authors estimate the impact of the role of bank-specific factors on credit risk in Italy from the estimation of a fixed-effect estimator. Non-performing loans to total loans has been used as a proxy of credit risk; the bank-specific factors are as follows: growth of loans, reflecting credit policy; log of total assets, controlling for banks’ size; loans to total assets, reflecting the volume of credit market; equity to total assets, capturing the solvency of banks and reflecting their capital strength; return on assets, reflecting the profitability of banks; deposits to loans, reflecting the intermediation cost; cost of total assets, reflecting the banks’ efficiency or volume of intermediation cost.

Findings
The empirical findings suggest that regulatory credit policy, capitalisation, volume of credit and volume of intermediation costs are the main bank-specific factors affecting non-performing loans. Nevertheless, the present analysis suggests that the behaviour of cooperative banks’ behaviour seems to be in line with that of commercial rather than popular banks, casting doubts about the feasibility of their credit policies. It turns out that recent reforms involving popular and cooperative banks represent the first step toward the enhancement of the stability and efficiency of the Italian banking system. While the present study’s benchmark results are not particularly affected by the degree of competition in the banking sector and by banks’ size, it shows that both cooperative and non-cooperative banks have undertaken more prudent credit policies after the advent of the financial crisis and the introduction of the Basel regulation.

Originality/value
The relationship between bank-specific factors and credit risk has been analysed using a rich sample of cooperative, commercial and popular banks in Italy over the 1994–2015 period. The authors rely on labour market areas being sub-regional geographical areas where the bulk of the labour force lives and works. The contribution is motivated by the financial distress experienced after the 2008 financial crisis, which has significantly hit the Italian banking system and cooperative banks in particular.
A quantitative crack monitoring method based on crack disturbed voltage
Authors: Fan Xianghong , He Yuting 
Published: October 2022

Purpose
The flexible eddy current array sensor has the characteristics of lightweight and flexibility, which has a great application prospect in the field of fatigue crack monitoring. But the exciting layout and feature signal extraction have a great influence on the crack monitoring characteristics of the sensor. This paper aims to propose a method using crack disturbed voltage as sensitivity to characterize crack propagation.

Design/methodology/approach
Flexible eddy current array sensors with reverse and codirectional exciting layout are proposed, and the advantages and disadvantages of three characterization methods based on the change of trans-impedance amplitude, the change of the trans-impedance’s real and imaginary part and the crack disturbed voltage are compared and analyzed by finite element simulation. Finally, the fatigue crack monitoring experiment is carried out.

Findings
The crack disturbed voltage and the change of trans-impedance’s imaginary part can effectively characterize the crack propagation for sensors with different exciting layouts. The codirectional exciting layout sensor has better crack identification sensitivity than the reverse exciting layout sensor, especially the induction coil 2. When the distance between the exciting coil and the induction coil is 0.1, 0.2 and 0.3 mm, it is increased by 372.09%, 295.24% and 231.43%, respectively.

Originality/value
Crack disturbed voltage can effectively characterize the crack propagation for sensors with two different exciting layouts.
A Bayesian stable isotope mixing model for coping with multiple isotopes, multiple trophic steps and small sample sizes
Authors: Heikkinen Risto , Hämäläinen Heikki , Kiljunen Mikko , Kärkkäinen Salme , Schilder Jos , Jones Roger I. 
Published: October 2022

Abstract

We introduce a Bayesian stable isotope mixing model for estimating the relative contributions of different dietary components to the tissues of consumers within food webs. The model is implemented with the probabilistic programming language Stan.

The model incorporates isotopes of multiple elements (e.g. C, N, H) for two trophic levels, when the structure of the food web is known. In addition, the model allows inclusion of latent trophic levels (i.e. for which no empirical data are available) intermediate between sources and measured consumers. Running the model in simulations driven by a real dataset from Finnish lakes, we tested the sensitivity of the posterior distributions by altering critical prior parameters and assumptions in the data‐generating process.

Importantly, we found that the model estimations were particularly sensitive to the assigned prior value for ω (the fraction of H in aquatic consumer tissue that is derived from environmental water rather than diet) so that reliable empirical data for this parameter are required. When reliable information is not available for ω, we suggest that an uninformative prior should be used.

The proposed model and inferences are suitable for studies where resources for collecting new data are limited, but useful prior information for each specific trophic level is available from earlier studies.
COVID‐19 and neurodegeneration: The mitochondrial connection
Authors: Denaro Christopher A. , Haloush Yara I. , Hsiao Samuel Y. , Orgera John J. , Osorio Teresa , Riggs Lindsey M. , Sassaman Joshua W. , Williams Sarah A. , Monte Carlo Anthony R. , Da Costa Renata T. , Grigoriev Andrey , Solesio Maria E. 
Published: October 2022

AbstractThere is still a significant lack of knowledge regarding many aspects of the etiopathology and consequences of the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection in humans. For example, the variety of molecular mechanisms mediating this infection, and the long‐term consequences of the disease remain poorly understood. It first seemed like the SARS‐CoV‐2 infection primarily caused a serious respiratory syndrome. However, over the last years, an increasing number of studies also pointed towards the damaging effects of this infection has on the central nervous system (CNS). In fact, evidence suggests a possible disruption of the blood–brain barrier and deleterious effects on the CNS, especially in patients who already suffer from other pathologies, such as neurodegenerative disorders. The molecular mechanisms behind these effects on the CNS could involve the dysregulation of mitochondrial physiology, a well‐known early marker of neurodegeneration and a hallmark of aging. Moreover, mitochondria are involved in the activation of the inflammatory response, which has also been broadly described in the CNS in COVID‐19. Here, we critically review the current bibliography regarding the presence of neurodegenerative symptoms in COVID‐19 patients, with a special emphasis on the mitochondrial mechanisms of these disorders.