bluuebunny/crossref_metadata_2025_split huggingface dataset:
NUCKS1, a LINC00629-upregulated gene, facilitated osteosarcoma progression and metastasis by elevating asparagine synthesis
Authors: Zheng Shuo , Ji Renchen , He Hongtao , Li Na , Han Chuanchun , Han Jian , Li Xiaodong , Zhang Lu , Wang Yuan , Zhao Wenzhi 
Published: August 2023

AbstractNuclear ubiquitous casein and cyclin-dependent kinase substrate 1 (NUCKS1) has been reported to play an oncogenic role in several cancers. However, the biological functions and regulatory mechanism of NUCKS1 in osteosarcoma have not been fully understood. In this study, we reported that NUCKS1 was significantly increased in osteosarcoma. Depletion of NUCKS1 decreased osteosarcoma cell proliferation and metastasis in vivo and in vitro. Overexpression of NUCKS1 accelerated osteosarcoma cell aggressiveness. Mechanistically, NUCKS1 facilitated asparagine (Asn) synthesis by transcriptionally upregulating asparagine synthetase (ASNS) expression and elevating the levels of Asn in osteosarcoma cells, leading to increased cell growth and metastasis. Inhibition of ASNS or reduction of Asn decreased osteosarcoma cell aggressiveness and impaired the promoting effects of NUCKS1 on tumorigenesis and metastasis. Furthermore, we also found that by acting as a sponge for miR-4768-3p, LINC00629 promoted NUCKS1 expression. Collectively, our findings highlight the role of NUCKS1 in regulating asparagine metabolism and reveal that LINC00629 is an important regulator of NUCKS1 that contributes to NUCKS1 upregulation in osteosarcoma.
Methane formation driven by light and heat prior to the origin of life and beyond
Authors: Ernst Leonard , Barayeu Uladzimir , Hädeler Jonas , Dick Tobias P. , Klatt Judith M. , Keppler Frank , Rebelein Johannes G. 
Published: August 2023

AbstractMethane is a potent greenhouse gas, which likely enabled the evolution of life by keeping the early Earth warm. Here, we demonstrate routes towards abiotic methane and ethane formation under early-earth conditions from methylated sulfur and nitrogen compounds with prebiotic origin. These compounds are demethylated in Fenton reactions governed by ferrous iron and reactive oxygen species (ROS) produced by light and heat in aqueous environments. After the emergence of life, this phenomenon would have greatly intensified in the anoxic Archean by providing methylated sulfur and nitrogen substrates. This ROS-driven Fenton chemistry can occur delocalized from serpentinization across Earth’s humid realm and thereby substantially differs from previously suggested methane formation routes that are spatially restricted. Here, we report that Fenton reactions driven by light and heat release methane and ethane and might have shaped the chemical evolution of the atmosphere prior to the origin of life and beyond.
Photocatalytic conversion of sugars to 5-hydroxymethylfurfural using aluminium(III) and fulvic acid
Authors: Tana Tana , Han Pengfei , Brock Aidan J. , Mao Xin , Sarina Sarina , Waclawik Eric R. , Du Aijun , Bottle Steven E. , Zhu Huai-Yong 
Published: August 2023

Abstract5-hydroxymethylfurfural (HMF) is a valuable and essential platform chemical for establishing a sustainable, eco-friendly fine-chemical and pharmaceutical industry based on biomass. The cost-effective production of HMF from abundant C6 sugars requires mild reaction temperatures and efficient catalysts from naturally abundant materials. Herein, we report how fulvic acid forms complexes with Al3+ ions that exhibit solar absorption and photocatalytic activity for glucose conversion to HMF in one-pot reaction, in good yield (~60%) and at moderate temperatures (80 °C). When using representative components of fulvic acid, catechol and pyrogallol as ligands, 70 and 67% HMF yields are achieved, respectively, at 70 °C. Al3+ ions are not recognised as effective photocatalysts; however, complexing them with fulvic acid components as light antennas can create new functionality. This mechanism offers prospects for new green photocatalytic systems to synthesise a range of substances that have not previously been considered.
High-efficiency, flexible and large-area red/green/blue all-inorganic metal halide perovskite quantum wires-based light-emitting diodes
Authors: Cao Yang Bryan , Zhang Daquan , Zhang Qianpeng , Qiu Xiao , Zhou Yu , Poddar Swapnadeep , Fu Yu , Zhu Yudong , Liao Jin-Feng , Shu Lei , Ren Beitao , Ding Yucheng , Han Bing , He Zhubing , Kuang Dai-Bin , Wang Kefan , Zeng Haibo , Fan Zhiyong 
Published: August 2023

AbstractMetal halide perovskites have shown great promise as a potential candidate for next-generation solid state lighting and display technologies. However, a generic organic ligand-free and antisolvent-free solution method to fabricate highly efficient full-color perovskite light-emitting diodes has not been realized. Herein, by utilizing porous alumina membranes with ultra-small pore size as templates, we have successfully fabricated crystalline all-inorganic perovskite quantum wire arrays with ultrahigh density and excellent uniformity, using a generic organic ligand-free and anti-solvent-free solution method. The quantum confinement effect, in conjunction with the high light out-coupling efficiency, results in high photoluminescence quantum yield for blue, sky-blue, green and pure-red perovskite quantum wires arrays. Consequently, blue, sky-blue, green and pure-red LED devices with spectrally stable electroluminescence have been successfully fabricated, demonstrating external quantum efficiencies of 12.41%, 16.49%, 26.09% and 9.97%, respectively, after introducing a dual-functional small molecule, which serves as surface passivation and hole transporting layer, and a halide vacancy healing agent.
Central role of Tim17 in mitochondrial presequence protein translocation
Authors: Fielden Laura F. , Busch Jakob D. , Merkt Sandra G. , Ganesan Iniyan , Steiert Conny , Hasselblatt Hanna B. , Busto Jon V. , Wirth Christophe , Zufall Nicole , Jungbluth Sibylle , Noll Katja , Dung Julia M. , Butenko Ludmila , von der Malsburg Karina , Koch Hans-Georg , Hunte Carola , van der Laan Martin , Wiedemann Nils 
Published: August 2023

AbstractThe presequence translocase of the mitochondrial inner membrane (TIM23) represents the major route for the import of nuclear-encoded proteins into mitochondria1,2. About 60% of more than 1,000 different mitochondrial proteins are synthesized with amino-terminal targeting signals, termed presequences, which form positively charged amphiphilic α-helices3,4. TIM23 sorts the presequence proteins into the inner membrane or matrix. Various views, including regulatory and coupling functions, have been reported on the essential TIM23 subunit Tim17 (refs. 5–7). Here we mapped the interaction of Tim17 with matrix-targeted and inner membrane-sorted preproteins during translocation in the native membrane environment. We show that Tim17 contains conserved negative charges close to the intermembrane space side of the bilayer, which are essential to initiate presequence protein translocation along a distinct transmembrane cavity of Tim17 for both classes of preproteins. The amphiphilic character of mitochondrial presequences directly matches this Tim17-dependent translocation mechanism. This mechanism permits direct lateral release of transmembrane segments of inner membrane-sorted precursors into the inner membrane.
Exploring the therapeutic potential of an antinociceptive and anti-inflammatory peptide from wasp venom
Authors: Galante Priscilla , Campos Gabriel A. A. , Moser Jacqueline C. G. , Martins Danubia B. , dos Santos Cabrera Marcia P. , Rangel Marisa , Coelho Luiza C. , Simon Karina S. , Amado Veronica M. , de A. I. Muller Jessica , Koehbach Johannes , Lohman Rink-Jan , Cabot Peter J. , Vetter Irina , Craik David J. , Toffoli-Kadri Monica C. , Monge-Fuentes Victoria , Goulart Jair T. , Schwartz Elisabeth F. , Silva Luciano P. , Bocca Anamelia L. , Mortari Márcia R. 
Published: August 2023

AbstractAnimal venoms are rich sources of neuroactive compounds, including anti-inflammatory, antiepileptic, and antinociceptive molecules. Our study identified a protonectin peptide from the wasp Parachartergus fraternus' venom using mass spectrometry and cDNA library construction. Using this peptide as a template, we designed a new peptide, protonectin-F, which exhibited higher antinociceptive activity and less motor impairment compared to protonectin. In drug interaction experiments with naloxone and AM251, Protonectin-F's activity was decreased by opioid and cannabinoid antagonism, two critical antinociception pathways. Further experiments revealed that this effect is most likely not induced by direct action on receptors but by activation of the descending pain control pathway. We noted that protonectin-F induced less tolerance in mice after repeated administration than morphine. Protonectin-F was also able to decrease TNF-α production in vitro and modulate the inflammatory response, which can further contribute to its antinociceptive activity. These findings suggest that protonectin-F may be a potential molecule for developing drugs to treat pain disorders with fewer adverse effects. Our results reinforce the biotechnological importance of animal venom for developing new molecules of clinical interest.
Development of peptide nucleic acid-based bead array technology for Bacillus cereus detection
Authors: Noppakuadrittidej Prae , Charlermroj Ratthaphol , Makornwattana Manlika , Kaew-amdee Sudtida , Waditee-Sirisattha Rungaroon , Vilaivan Tirayut , Praneenararat Thanit , Karoonuthaisiri Nitsara 
Published: August 2023

AbstractNumerous novel methods to detect foodborne pathogens have been extensively developed to ensure food safety. Among the important foodborne bacteria, Bacillus cereus was identified as a pathogen of concern that causes various food illnesses, leading to interest in developing effective detection methods for this pathogen. Although a standard method based on culturing and biochemical confirmative test is available, it is time- and labor-intensive. Alternative PCR-based methods have been developed but lack high-throughput capacity and ease of use. This study, therefore, attempts to develop a robust method for B. cereus detection by leveraging the highly specific pyrrolidinyl peptide nucleic acids (PNAs) as probes for a bead array method with multiplex and high-throughput capacity. In this study, PNAs bearing prolyl-2-aminocyclopentanecarboxylic acid (ACPC) backbone with groEL, motB, and 16S rRNA sequences were covalently coupled with three sets of fluorescently barcoded beads to detect the three B. cereus genes. The developed acpcPNA-based bead array exhibited good selectivity where only signals were detectable in the presence of B. cereus, but not for other species. The sensitivity of this acpcPNA-based bead assay in detecting genomic DNA was found to be 0.038, 0.183 and 0.179 ng for groEL, motB and 16S rRNA, respectively. This performance was clearly superior to its DNA counterpart, hence confirming much stronger binding strength of acpcPNA over DNA. The robustness of the developed method was further demonstrated by testing artificially spiked milk and pickled mustard greens with minimal interference from food metrices. Hence, this proof-of-concept acpcPNA-based bead array method has been proven to serve as an effective alternative nucleic acid-based method for foodborne pathogens.
Application of artificial neural network and dynamic adsorption models to predict humic substances extraction from municipal solid waste leachate
Authors: Rezaeinia Salimeh , Ebrahimi Ali Asghar , Dalvand Arash , Ehrampoush Mohammad Hassan , Fallahzadeh Hossien , Mokhtari Mehdi 
Published: August 2023

AbstractSustainable municipal solid waste leachate (MSWL) management requires a paradigm shift from removing contaminants to effectively recovering resources and decreasing contaminants simultaneously. In this study, two types of humic substances, fulvic acid (FA) and humic acid (HA) were extracted from MSWL. HA was extracted using HCl and NaOH solution, followed by FA using a column bed under diversified operations such as flow rate, input concentration, and bed height. Also, this work aims to evaluate efficiency of Artificial Neural Network (ANN) and Dynamic adsorption models in predicting FA. With the flow rate of 0.3 mL/min, bed height of 15.5 cm, and input concentration of 4.27 g/mL, the maximum capacity of FA was obtained at 23.03 mg/g. FTIR analysis in HA and FA revealed several oxygen-containing functional groups including carboxylic, phenolic, aliphatic, and ketone. The high correlation coefficient value (R2) and a lower mean squared error value (MSE) were obtained using the ANN, indicating the superior ability of ANN to predict adsorption capacity compared to traditional modeling.
Demonstrating the successful application of synthetic learning in spine surgery for training multi–center models with increased patient privacy
Authors: Schonfeld Ethan , Veeravagu Anand 
Published: August 2023

AbstractFrom real–time tumor classification to operative outcome prediction, applications of machine learning to neurosurgery are powerful. However, the translation of many of these applications are restricted by the lack of “big data” in neurosurgery. Important restrictions in patient privacy and sharing of imaging data reduce the diversity of the datasets used to train resulting models and therefore limit generalizability. Synthetic learning is a recent development in machine learning that generates synthetic data from real data and uses the synthetic data to train downstream models while preserving patient privacy. Such an approach has yet to be successfully demonstrated in the spine surgery domain. Spine radiographs were collected from the VinDR–SpineXR dataset, with 1470 labeled as abnormal and 2303 labeled as normal. A conditional generative adversarial network (GAN) was trained on the radiographs to generate a spine radiograph and normal/abnormal label. A modified conditional GAN (SpineGAN) was trained on the same task. A convolutional neural network (CNN) was trained using the real data to label abnormal radiographs. A CNN was trained to label abnormal radiographs using synthetic images from the GAN and in a separate experiment from SpineGAN. Using the real radiographs, an AUC of 0.856 was achieved in abnormality classification. Training on synthetic data generated by the standard GAN (AUC of 0.814) and synthetic data generated by our SpineGAN (AUC of 0.830) resulted in similar classifier performance. SpineGAN generated images with higher FID and lower precision scores, but with higher recall and increased performance when used for synthetic learning. The successful application of synthetic learning was demonstrated in the spine surgery domain for the classification of spine radiographs as abnormal or normal. A modified domain–relevant GAN is introduced for the generation of spine images, evidencing the importance of domain–relevant generation techniques in synthetic learning. Synthetic learning can allow neurosurgery to use larger and more diverse patient imaging sets to train more generalizable algorithms with greater patient privacy.
Effects of salt stress on root morphology, carbon and nitrogen metabolism, and yield of Tartary buckwheat
Authors: Zhang Xinyue , He Peiyun , Guo Rongyu , Huang Kaifeng , Huang Xiaoyan 
Published: August 2023

AbstractThis study aims to clarify the effects of different concentrations of sodium chloride on the carbon and nitrogen metabolism and yield of Tartary buckwheat. The salt-sensitive cultivar Yunqiao 2 was pot-grown and treated with four salt concentrations including 0, 2, 4, and 6 g kg−1. The root morphology index increased from seedling stage to maturate stage. The content of soluble protein in the leaves reached the maximum at the anthesis stage, and the other substances content and the enzymes activity related to carbon and nitrogen metabolism reached the maximum at the grain filling stage. The root morphology index, root activity; invertase, amylase, sucrose synthase, and sucrose phosphate synthase activities; nitrate-nitrogen, ammonium nitrogen, and soluble protein content; and nitrate reductase and glutamate synthase activities increased first and reached the maximum at 2 g kg−1 treatment and then decreased with increasing salt stress concentration. The content of soluble sugars and sucrose and the activity of glutamate dehydrogenase increased continuously with increasing salt concentration, and reached the maximum in the 6 g kg−1 treatment. The grain number per plant, 100-grain weight, and yield per plant increased first and reached the maximum at 2 g kg−1 treatment and then decreased with increasing salt stress concentration. In summary, moderate salt stress (2 g kg−1) can promote the root growth, increase the content of carbon and nitrogen metabolism-related substances and enzyme activity, and increase the yield per plant of Tartary buckwheat.
One-step fabrication of vanadium-doped CoFe PBA nanosheets for efficient oxygen evolution reaction
Authors: Huang Yin , Pan Yaoyao , Huang Xiaoyu , Xu Guangzheng , Wang Xiuhua 
Published: August 2023

V-CoFe Prussian blue analogue (PBA) nanosheets were synthesized by one-step soaking at room temperature. V-CoFe PBA electrode exhibited low overpotential of 229 mV at 10 mA cm−2 current density for the OER with outstanding long-term stability.
Disaster Relief Role Evolution of the Sichuan Provincial Government
Authors: Wang Yan , Wu Jasmine 
Published: August 2023

Due to its special geographical location, three major earthquakes have been experienced in Sichuan Province, China over the past two decades. In response to the three earthquakes, the provincial government has served as a connective link between the central government and the county governments, thus demonstrating its unique and indispensable role in the disaster relief process. Taking the 2008 Wenchuan earthquake, the 2013 Lushan earthquake and the 2017 Jiuzhaigou earthquake as the research objects, this paper used the field research and interview method to make a longitudinal comparison of the roles and functions of the Sichuan Provincial Government in terms of policy, funding and emergency rescue in the three major earthquakes. It was found that (1)	the role of Sichuan Provincial Government in the disaster relief process has changed; (2) although the government’s earthquake relief investment decreased, the proportion of the total investment in Sichuan earthquake disaster relief from the government’s own expenditure generally rose; (3) the emergency response and disposal capacity of Sichuan Provincial Government has been greatly improved. References and suggestions were also given for disaster relief and mitigation system construction for other disasters and other areas from a provincial government perspective.
Digitale Weichteilvorhersage im Kontext der
kieferorthopädisch-kieferchirurgischen Behandlung
Authors: Möhlhenrich Stephan Christian , Lohn Britta , Peters Florian , Danesh Gholamreza , Modabber Ali 
Published: August 2023

ZusammenfassungOperative Eingriffe im Rahmen einer
kieferorthopädisch-kieferchirurgischen Behandlung werden zunehmend
digital geplant. Moderne Softwarelösungen erlauben neben der virtuellen
Kieferumstellung auch die Simulation einer möglichen
Weichgewebsreaktion. Etablierte Programme werden hinsichtlich der
Simulationsmöglichkeiten vorgestellt und mögliche Unterschiede
und Fehlerquellen aufgezeigt.
The role of ultrasound in first-trimester screening after the introduction of NIPT as a service of public health insurance – a consensus statement of the Fetal Medicine Foundation (FMF) Germany
Authors: Merz Eberhard , Eiben Bernd , Thode Christian , Hackelöer Bernhard-Joachim , Faber Renaldo , Tercanli Sevgi , Alkier Rudolf 
Published: August 2023

AbstractCombined first-trimester screening (FTS) and noninvasive prenatal testing (NIPT) have been proven to be reliable noninvasive procedures to detect the most common chromosomal abnormalities (trisomies 21, 18, 13) in the first trimester. The aim of this paper is to demonstrate the strengths and limitations of these two procedures and to give a consensus statement of the Fetal Medicine Foundation (FMF) Germany on how to use the two techniques in the first trimester after the introduction of NIPT as a service of the statutory health insurance companies in Germany.
Using electron energy-loss spectroscopy to measure nanoscale electronic and vibrational dynamics in a TEM
Authors: Kim Ye-Jin , Palmer Levi D. , Lee Wonseok , Heller Nicholas J. , Cushing Scott K. 
Published: August 2023

Electron energy-loss spectroscopy (EELS) can measure similar information to x-ray, UV–Vis, and IR spectroscopies but with atomic resolution and increased scattering cross-sections. Recent advances in electron monochromators have expanded EELS capabilities from chemical identification to the realms of synchrotron-level core-loss measurements and to low-loss, 10–100 meV excitations, such as phonons, excitons, and valence structures. EELS measurements are easily correlated with electron diffraction and atomic-scale real-space imaging in a transmission electron microscope (TEM) to provide detailed local pictures of quasiparticle and bonding states. This perspective provides an overview of existing high-resolution EELS (HR-EELS) capabilities while also motivating the powerful next step in the field—ultrafast EELS in a TEM. Ultrafast EELS aims to combine atomic-level, element-specific, and correlated temporal measurements to better understand spatially specific excited-state phenomena. Ultrafast EELS measurements also add to the abilities of steady-state HR-EELS by being able to image the electromagnetic field and use electrons to excite photon-forbidden and momentum-specific transitions. We discuss the technical challenges ultrafast HR-EELS currently faces, as well as how integration with in situ and cryo measurements could expand the technique to new systems of interest, especially molecular and biological samples.
A generalized Kirkwood implicit solvent for the polarizable AMOEBA protein model
Authors: Corrigan Rae A. , Thiel Andrew C. , Lynn Jack R. , Casavant Thomas L. , Ren Pengyu , Ponder Jay W. , Schnieders Michael J. 
Published: August 2023

Computational simulation of biomolecules can provide important insights into protein design, protein-ligand binding interactions, and ab initio biomolecular folding, among other applications. Accurate treatment of the solvent environment is essential in such applications, but the use of explicit solvents can add considerable cost. Implicit treatment of solvent effects using a dielectric continuum model is an attractive alternative to explicit solvation since it is able to describe solvation effects without the inclusion of solvent degrees of freedom. Previously, we described the development and parameterization of implicit solvent models for small molecules. Here, we extend the parameterization of the generalized Kirkwood (GK) implicit solvent model for use with biomolecules described by the AMOEBA force field via the addition of corrections to the calculation of effective radii that account for interstitial spaces that arise within biomolecules. These include element-specific pairwise descreening scale factors, a short-range neck contribution to describe the solvent-excluded space between pairs of nearby atoms, and finally tanh-based rescaling of the overall descreening integral. We then apply the AMOEBA/GK implicit solvent to a set of ten proteins and achieve an average coordinate root mean square deviation for the experimental structures of 2.0 Å across 500 ns simulations. Overall, the continued development of implicit solvent models will help facilitate the simulation of biomolecules on mechanistically relevant timescales.