bluuebunny/crossref_metadata_2025_split huggingface dataset:
A TriPPPro‐Nucleotide Reporter with Optimized Cell‐Permeable Dyes for Metabolic Labeling of Cellular and Viral DNA in Living Cells
Authors: Sterrenberg Vincente T. , Stalling Dörte , Knaack J. Iven H. , Soh Timothy K. , Bosse Jens B. , Meier Chris 
Published: July 2023

AbstractThe metabolic labeling of nucleic acids in living cells is highly desirable to track the dynamics of nucleic acid metabolism in real‐time and has the potential to provide novel insights into cellular biology as well as pathogen‐host interactions. Catalyst‐free inverse electron demand Diels–Alder reactions (iEDDA) with nucleosides carrying highly reactive moieties such as axial 2‐trans‐cyclooctene (2TCOa) would be an ideal tool to allow intracellular labeling of DNA. However, cellular kinase phosphorylation of the modified nucleosides is needed after cellular uptake as triphosphates are not membrane permeable. Unfortunately, the narrow substrate window of most endogenous kinases limits the use of highly reactive moieties. Here, we apply our TriPPPro (triphosphate pronucleotide) approach to directly deliver a highly reactive 2TCOa‐modified 2′‐deoxycytidine triphosphate reporter into living cells. We show that this nucleoside triphosphate is metabolically incorporated into de novo synthesized cellular and viral DNA and can be labeled with highly reactive and cell‐permeable fluorescent dye‐tetrazine conjugates via iEDDA to visualize DNA in living cells directly. Thus, we present the first comprehensive method for live‐cell imaging of cellular and viral nucleic acids using a two‐step labeling approach.
Synergistic Metal‐Nonmetal Active Sites in a Metal‐Organic Cage for Efficient Photocatalytic Synthesis of Hydrogen Peroxide in Pure Water
Authors: Lu Jia‐Ni , Liu Jing‐Jing , Dong Long‐Zhang , Lin Jiao‐Min , Yu Fei , Liu Jiang , Lan Ya‐Qian 
Published: July 2023

AbstractPhotocatalytic synthesis of hydrogen peroxide (H2O2) is a potential clean method, but the long distance between the oxidation and reduction sites in photocatalysts hinders the rapid transfer of photogenerated charges, limiting the improvement of its performance. Here, a metal‐organic cage photocatalyst, Co14(L−CH3)24, is constructed by directly coordinating metal sites (Co sites) used for the O2 reduction reaction (ORR) with non‐metallic sites (imidazole sites of ligands) used for the H2O oxidation reaction (WOR), which shortens the transport path of photogenerated electrons and holes, and improves the transport efficiency of charges and activity of the photocatalyst. Therefore, it can be used as an efficient photocatalyst with a rate of as high as 146.6 μmol g−1 h−1 for H2O2 production under O2‐saturated pure water without sacrificial agents. Significantly, the combination of photocatalytic experiments and theoretical calculations proves that the functionalized modification of ligands is more conducive to adsorbing key intermediates (*OH for WOR and *HOOH for ORR), resulting in better performance. This work proposed a new catalytic strategy for the first time; i.e., to build a synergistic metal‐nonmetal active site in the crystalline catalyst and use the host–guest chemistry inherent in the metal‐organic cage (MOC)to increase the contact between the substrate and the catalytically active site, and finally achieve efficient photocatalytic H2O2 synthesis.
Gas chromatography—vacuum ultraviolet spectroscopy in petroleum and fuel analysis
Authors: Kaplitz Alexander S. , Schug Kevin A. 
Published: July 2023

AbstractIn the modern world, energy and fuels are of utmost importance. Rapid characterization of petroleum and other hydrocarbon‐based fuel is a well‐researched field. Gas chromatography has traditionally been used to separate the different species and characterize the chemical content in fuels. Ideally, every molecule would be separated and characterized, but due to the complexity of the petroleum matrix, many compounds coelute. With the help of different detectors, more information can be gained, but there does not exist a single detector that can unambiguously differentiate and identify every compound. Vacuum ultraviolet spectroscopy (VUV) is a relatively new detector that can alleviate many limitations of other detectors. Based on spectroscopic absorption, VUV detection can provide qualitative and quantitative information regarding the composition of different fuels. It also provides certain advantages, allowing the deconvolution of coeluting peaks and differentiation between constitutional isomers. VUV has been used to classify the range of chemical components in many diverse fuel samples. Here, the contributions of VUV detection to petrochemical analysis to date are reviewed.
Morphological Transformation of Self‐Assembled Peptide Nanostructures for Bioimaging Applications
Authors: Xu Ying , Jiang Qiaochu , Sun Xianbao , Liang Gaolin 
Published: July 2023

AbstractStimuli‐triggered in‐situ morphological transformation of peptide nanomaterials may enhance the on‐site accumulation and retention of the imaging agent cargos in the stimuli‐rich regions, thus enabling precise, sensitive, and prolonged imaging of diseases. Moreover, this strategy permits the co‐delivery of contrast agents and drugs with the smart “turn‐on” ability, allowing for efficient disease theranostics. In light of the significance of this strategy in designing smart biomedical peptide materials, which remains scarcely reviewed in recent years, we herein provide this review. We summarize the bioimaging applications (i. e., fluorescence imaging, magnetic resonance imaging, and photoacoustic imaging) of these smart morphological transformation‐based peptide materials, and highlight the remarkable breakthroughs. Besides, challenges to be addressed in this field are discussed.
A hydrophobic/oleophilic silica‐cellulose composite aerogel for oil–water separation
Authors: Sun Yue , Bai Jiaojiao , Wang Zhe , Li Huabin , Dong Hua 
Published: July 2023

AbstractA cellulose aerogel with very low overall density is fabricated by freeze‐drying aqueous cellulose solution. A hydrophobic/oleophilic cellulose aerogel is further fabricated by coating the cellulose aerogel with hexyltrimethoxysilane‐modified SiO2 nanoparticles. The features of the developed hydrophobic/oleophilic cellulose aerogel are characterized with density and porosity measurement, infrared spectroscopy, X‐ray photoelectron spectroscopy, scanning electron microscopy, and contact angle measurement. Finally, the oil absorption performance of the developed hydrophobic/oleophilic cellulose aerogel is investigated. The results show that SiO2 nanoparticles have been successfully loaded on the surface of the aerogel backbone after fulfillment of fabrication, and the surface of the aerogel turns to be hydrophobic/oleophilic (water contact angle 131° and oil contact angle 0°). The oil absorption experiment results show that the absorption capacity for organic solvents is from 10 to 21 times the initial aerogel weight, depending on the density of the absorbed organic solvents. In addition, the aerogel still maintains good stability in high temperature, strong acid or strong base conditions. Furthermore, the aerogel also shows good performance in separating oil from oil–water mixtures. This hydrophobic/oleophilic cellulose aerogel can be a promising choice for remedying water pollution caused by oil contamination.
Identifying potential insecticide resistance markers through genomic‐level comparison of Bemisia tabaci (Gennadius) lines
Authors: Wang Hua‐Ling , Rao Qiong , Chen Zhen‐Zhu 
Published: July 2023

AbstractThe invasive whitefly (Bemisia tabaci) MED is one of the most economically damaging plant pests. The extensive use of insecticide over decades has led to that the invasive B. tabaci MED has developed resistance to a wide range of insecticide classes, but little is known about the genetic background associated with resistance. To this end, we conducted a comparative genome‐wide analysis of single‐base nucleotide polymorphisms between MED whitefly lines collected from fields that were recently infested and an insecticide‐susceptible MED whitefly line collected in 1976. First, low‐coverage genome sequencings were conducted on DNA isolated from individual whiteflies. The sequencing results were evaluated using an available B. tabaci MED genome as a reference. Significant genetic differences were discovered between MED whitefly lines collected from fields that were recently infested and an insecticide‐susceptible MED whitefly line based on the principal component analyses. Top GO categories and KEGG pathways that might be involved in insecticide resistance development were identified, and several of them have not been previously associated with resistance. Additionally, we identified several genetic loci with novel variations including Cytochrome P450 monooxygenases (P450s), UDP‐glucuronosyltransferases (UGTs), Glutathione S‐transferases (GSTs), esterase, carboxyl‐esterases (COE), ABC transporters, fatty acyl‐CoA reductase, voltage‐gated sodium channels, GABA receptor, and cuticle proteins (CPs) that were previously reported to have close associations with pesticide resistance in well‐studied insect groups that provide an essential resource for the design of insecticide resistance–linked loci arrays insecticide. Our results was obtained solely on resequencing genome data sets, more pesticide bio‐assays combined with omics datasets should be further used to verify the markers identified here.
Integrating spheroid‐on‐a‐chip with tubeless rocker platform: A high‐throughput biological screening platform
Authors: Kheiri Sina , Chen Zhengkun , Yakavets Ilya , Rakhshani Faeze , Young Edmond W. K. , Kumacheva Eugenia 
Published: July 2023

AbstractSpheroid‐on‐a‐chip platforms are emerging as promising in vitro models that enable screening of the efficacy of biologically active ingredients. Generally, the supply of liquids to spheroids occurs in the steady flow mode with the use of syringe pumps; however, the utilization of tubing and connections, especially for multiplexing and high‐throughput screening applications, makes spheroid‐on‐a‐chip platforms labor‐ and cost‐intensive. Gravity‐induced flow using rocker platforms overcomes these challenges. Here, a robust gravity‐driven technique was developed to culture arrays of cancer cell spheroids and dermal fibroblast spheroids in a high‐throughput manner using a rocker platform. The efficiency of the developed rocker‐based platform was benchmarked to syringe pumps for generating multicellular spheroids and their use for screening biologically active ingredients. Cell viability, internal spheroid structure as well as the effect of vitamin C on spheroids' protein synthesis was studied. The rocker‐based platform not only offers comparable or enhanced performance in terms of cell viability, spheroids formation, and protein production by dermal fibroblast spheroids but also, from a practical perspective, offers a smaller footprint, requires a lower cost, and offers an easier method for handling. These results support the application of rocker‐based microfluidic spheroid‐on‐a‐chip platforms for in vitro screening in a high‐throughput manner with industrial scaling‐up opportunities.
Deep learning image analysis models pretrained on daily objects are useful for the preliminary characterization of particulate pharmaceutical samples
Authors: Salami Hossein , Wood Caitlin , Ouyang Hanlin , Zhao Xi , Skomski Daniel 
Published: July 2023

AbstractVisible and subvisible particles are a quality attribute in sterile pharmaceutical samples. A common method for characterizing and quantifying pharmaceutical samples containing particulates is imaging many individual particles using high‐throughput instrumentation and analyzing the populations data. The analysis includes conventional metrics such as the particle size distribution but can be more sophisticated by interpreting other visual/morphological features. To avoid the hurdles of building new image analysis models capable of extracting such relevant features from scratch, we propose using well‐established pretrained deep learning image analysis models such as EfficientNet. We demonstrate that such models are useful as a prescreening tool for high‐level characterization of biopharmaceutical particle image data. We show that although these models are originally trained for completely different tasks (such as the classification of daily objects in the ImageNet database), the visual feature vectors extracted by such models can be useful for studying different types of subvisible particles. This applicability is illustrated through multiple case studies: (i) particle risk assessment in prefilled syringe formulations containing different particle types such as silicone oil, (ii) method comparability with the example of accelerated forced degradation, and (iii) excipient influence on particle morphology with the example of Polysorbate 80 (PS80). As examples of agnostic applicability of pretrained models, we also elucidate the application to two high‐throughput microscopy methods: microflow and background membrane imaging. We show that different particle populations with different morphological and visual features can be identified in different samples by leveraging out‐of‐the‐box pretrained models to analyze images from each sample.
Interrelationships between circular economy and Industry 4.0: A research agenda for sustainable supply chains
Authors: de Mattos Nascimento Daniel Luiz , de Oliveira‐Dias Diessica , Moyano‐Fuentes José , Maqueira Marín Juan Manuel , Garza‐Reyes Jose Arturo 
Published: July 2023

AbstractThe purpose of this article is to propose a novel classification of the interrelationships between Industry 4.0 (I4.0) technologies and circular economy (CE) principles that highlights the most conclusive findings and extant gaps in the relevant research. A systematic literature review has been developed to locate, select and evaluate relevant contributions made to CE interrelationships with I4.0 technologies. Studies have been analysed and classified according to the specific I4.0 technology and CE principle addressed (10Rs). The articles have been clustered into three main groups: (i) useful application of materials, (ii) extending the lifespan of products and their parts and (iii) smarter product use and manufacture. A mind map of the investigated articles has been used to establish the interrelationships between individual technologies and each CE principle at the supply chain level. Based on this classification, a focus group interview (FGI) was held with experts to dig deeper into the interrelationships between I4.0 technologies and CE principles. The FGI results have identified how each as yet unexplored I4.0 technology could be linked to each CE principle. A Fuzzy Delphi (FD) study was also applied to identify the most relevant I4.0 technologies for improving CE principles and closing gaps in the literature regarding the 10R CE principles. In addition, guidelines have been established to assist with practical applications and generate a research agenda on the interrelationships between I4.0 technologies and CE principles at the supply chain level. Implications for theory include the extension of view from the research gaps between I4.0 technologies and the 10Rs identified in the literature; also, an FGI and FD were performed based on the detected research gaps to identify future lines of research for academics and offer useful guidance to directors and managers on I4.0 technology interrelationships for improving at least one of the 10R CE principles. The contribution to practice aims to enable managers to easily identify which technology from the I4.0 domain should be used to advance any given CE principle. Lastly, we provide useful guidance on the application of as‐yet‐unused technologies to improve CE principles.
Low level of ARID1A contributes to adaptive immune resistance and sensitizes triple‐negative breast cancer to immune checkpoint inhibitors
Authors: Chen Xin‐Yu , Li Bin , Wang Ye , Jin Juan , Yang Yu , Huang Lei‐Huan , Yang Meng‐Di , Zhang Jian , Wang Bi‐Yun , Shao Zhi‐Ming , Ni Ting , Huang Sheng‐Lin , Hu Xi‐Chun , Tao Zhong‐Hua 
Published: July 2023

AbstractBackgroundImmune checkpoint inhibitors (ICIs) shed new light on triple‐negative breast cancer (TNBC), but only a minority of patients demonstrate response. Therefore, adaptive immune resistance (AIR) needs to be further defined to guide the development of ICI regimens.MethodsDatabases, including The Cancer Genome Atlas, Gene Ontology Resource, University of California Santa Cruz Genome Browser, and Pubmed, were used to screen epigenetic modulators, regulators for CD8+ T cells, and transcriptional regulators of programmed cell death‐ligand 1 (PD‐L1). Human peripheral blood mononuclear cell (Hu‐PBMC) reconstruction mice were adopted for xenograft transplantation. Tumor specimens from a TNBC cohort and the clinical trial CTR20191353 were retrospectively analyzed. RNA‐sequencing, Western blotting, qPCR and immunohistochemistry were used to assess gene expression. Coculture assays were performed to evaluate the regulation of TNBC cells on T cells. Chromatin immunoprecipitation and transposase‐accessible chromatin sequencing were used to determine chromatin‐binding and accessibility.ResultsThe epigenetic modulator AT‐rich interaction domain 1A (ARID1A) gene demonstrated the highest expression association with AIR relative to other epigenetic modulators in TNBC patients. Low ARID1A expression in TNBC, causing an immunosuppressive microenvironment, promoted AIR and inhibited CD8+ T cell infiltration and activity through upregulating PD‐L1. However, ARID1A did not directly regulate PD‐L1 expression. We found that ARID1A directly bound the promoter of nucleophosmin 1 (NPM1) and that low ARID1A expression increased NPM1 chromatin accessibility as well as gene expression, further activating PD‐L1 transcription. In Hu‐PBMC mice, atezolizumab demonstrated the potential to reverse ARID1A deficiency‐induced AIR in TNBC by reducing tumor malignancy and activating anti‐tumor immunity. In CTR20191353, ARID1A‐low patients derived more benefit from pucotenlimab compared to ARID1A‐high patients.ConclusionsIn AIR epigenetics, low ARID1A expression in TNBC contributed to AIR via the ARID1A/NPM1/PD‐L1 axis, leading to poor outcome but sensitivity to ICI treatment.
Prediction of malignant intraductal papillary mucinous neoplasm: A nomogram based on clinical information and radiological outcomes
Authors: Huang Xiaorui , Guo Tong , Zhang Zhiwei , Cai Ming , Guo Xinyi , Zhang Jingzhao , Yu Yahong 
Published: July 2023

AbstractObjectiveClinical practitioners face a significant challenge in maintaining a healthy balance between overtreatment and missed diagnosis in the management of intraductal papillary mucinous neoplasm (IPMN). The current study aimed to identify significant risk factors of malignant IPMN from a series of clinical and radiological parameters that are widely available and noninvasive and develop a method to individually predict the risk of malignant IPMN to improve its management.MethodsWe retrospectively investigated 168 patients who were pathologically diagnosed with IPMN after individualized pancreatic resection between June, 2012 and December, 2020. Independent predictors determined using both univariate and multivariate analyses to construct a predictive model. The discriminatory power of the nomogram was assessed using the area under the receiver operating characteristic curve (AUC). Decision curve analysis was performed to demonstrate the clinical usefulness of the nomogram. Internal cross validation was performed to assess the validity of the predictive model.ResultsIn the multivariate analysis, five significant independent risk factors were identified: increased serum CA19‐9 level, low prognostic nutritional index (PNI), cyst size, enhancing mural nodule, and main pancreatic duct diameter. The nomogram based on the parameters mentioned above had outstanding performance in distinguishing malignancy, with an AUC of 0.907 (95% confidence interval: 0.859–0.956, p < 0.05), which remained 0.875 after internal cross‐validation, and showed good clinical usefulness.ConclusionA novel nomogram for predicting malignant IPMN first introducing PNI was developed, which may aid in improving IPMN management. Nevertheless, external validation is required to confirm its efficacy.
Association between conditioning intensity and height growth after allogeneic hematopoietic stem cell transplantation in children
Authors: Uemura Suguru , Hasegawa Daiichiro , Kishimoto Kenji , Fujikawa Tomoko , Nakamura Sayaka , Kozaki Aiko , Saito Atsuro , Ishida Toshiaki , Mori Takeshi , Ozaki Kayo , Kosaka Yoshiyuki 
Published: July 2023

AbstractBackgroundThe present study aimed to examine the association between the conditioning intensity and height growth in pediatric patients who underwent allogeneic hematopoietic stem cell transplantation (allo‐HSCT).MethodsWe reviewed the clinical records of 89 children with malignant diseases who underwent initial allo‐HSCT between 2003 and 2021. Height measurements were standardized using standard height charts prepared by the Japanese Society for Pediatric Endocrinology to calculate standard deviation score (SDS). We defined short stature as a height SDS less than −2.0 in that reference. Myeloablative conditioning (MAC) comprised total‐body irradiation at more than 8 Gy and busulfan administration at more than 8 mg/kg (more than 280 mg/m2). Other conditioning regimens were defined as reduced intensity conditioning (RIC).ResultsA total of 58 patients underwent allo‐HSCT with MAC, and 31 patients received allo‐HSCT with RIC. There were significant differences in the height SDS at 2 and 3 years after allo‐HSCT between MAC and RIC group (−1.33 ± 1.20 vs. −0.76 ± 1.12, p = 0.047, −1.55 ± 1.28 vs. −0.75 ± 1.11, p = 0.022, respectively). Multivariate logistic regression analysis with the adjustments for potential confounding factors of patients less than 10 years of age at allo‐HSCT and chronic graft‐versus host disease demonstrated that MAC regimen was associated with a markedly increased risk of a short stature at 3 years after allo‐HSCT (adjusted odds ratio, 5.61; 95% confidence interval, 1.07–29.4; p = 0.041).ConclusionThe intensity of conditioning regimen may be associated with short statures after allo‐HSCT.
Tackling the ‘normalisation of neglect’: Messages from child protection reviews in England
Authors: Taylor Julie , Dickens Jonathan , Garstang Joanna , Cook Laura , Hallett Nutmeg , Molloy Eleanor 
Published: July 2023

AbstractDespite a history of critique, concentrated discussion and improved assessment processes, neglect continues to be a major challenge for child protection services. This paper draws on findings from a government‐commissioned analysis of ‘serious case reviews’ (SCRs) in England, arising from incidents of serious child abuse in 2017–2019. There were 235 cases, for which 166 final reports were available. Alongside a quantitative analysis of the whole cohort, we undertook an in‐depth qualitative analysis of 12 cases involving neglect. A key challenge in responding to neglect in its different forms is that it can be so widespread amongst families that practitioners no longer notice its severity or chronicity – it becomes normalised. In this paper we explore two dimensions of the ‘paradox of neglect’ where it seems to be everywhere and nowhere simultaneously. The first is that neglect is so closely bound up with the prevalence of poverty that little action is taken to address it. The second is that the overwhelming nature of neglect can blind practitioners to other forms of maltreatment that may also be present within a family. Practitioners, now more than ever, need to recognise the dimensions of this paradox to protect children from neglect.