bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tyrosine residues of the granulocyte colony-stimulating factor receptor transmit proliferation and differentiation signals in murine bone marrow cells
Authors: Akbarzadeh Shiva , Ward Alister C. , McPhee Dora O. M. , Alexander Warren S. , Lieschke Graham J. , Layton Judith E. 
Published: July 2002

AbstractGranulocyte colony-stimulating factor (G-CSF) is the major regulator of granulopoiesis and acts through binding to its specific receptor (G-CSF-R) on neutrophilic granulocytes. Previous studies of signaling from the 4 G-CSF-R cytoplasmic tyrosine residues used model cell lines that may have idiosyncratic, nonphysiological responses. This study aimed to identify specific signals transmitted by the receptor tyrosine residues in primary myeloid cells. To bypass the presence of endogenous G-CSF-R, a chimeric receptor containing the extracellular domain of the epidermal growth factor receptor in place of the entire extracellular domain of the G-CSF-R was used. A series of chimeric receptors containing tyrosine mutations to phenylalanine, either individually or collectively, was constructed and expressed in primary bone marrow cells from G-CSF–deficient mice. Proliferation and differentiation responses of receptor-expressing bone marrow cells stimulated by epidermal growth factor were measured. An increased 50% effective concentration to stimulus of the receptor Ynullmutant indicated that specific signals from tyrosine residues were required for cell proliferation, particularly at low concentrations of stimulus. Impaired responses by mutant receptors implicated G-CSF-R Y764 in cell proliferation and Y729 in granulocyte differentiation signaling. In addition, different sensitivities to ligand stimulation between mutant receptors indicated that G-CSF-R Y744 and possibly Y729 have an inhibitory role in cell proliferation. STAT activation was not affected by tyrosine mutations, whereas ERK activation appeared to depend, at least in part, on Y764. These observations have suggested novel roles for the G-CSF-R tyrosine residues in primary cells that were not observed previously in studies in cell lines.
Decisional Conflicts in Patients With Low-Risk Papillary Thyroid Microcarcinomas Considering Active Surveillance
Authors: Zhang Qianqian , Gu Xinyue , Liu Shuangyuan , Fu Rong , Wang Ying , Hegarty Josephine , Zhu Pingting , Ge Jingwu 
Published: September 2024

ImportanceInternationally, active surveillance has been shown to be beneficial and safe in the management of low-risk papillary thyroid microcarcinomas. However, choosing active surveillance is a difficult treatment decision for patients with low-risk papillary thyroid microcarcinomas.ObjectiveTo identify and analyze the antecedents and mediating processes of decisional conflicts when patients consider active surveillance as an alternative to surgery.Design, Setting, and ParticipantsIn this qualitative study, semistructured interviews were conducted between April 2023 and December 2023 at 3 tertiary hospitals in China. Thirty-one participants who were diagnosed with low-risk papillary thyroid microcarcinomas, who had experienced considering active surveillance as an alternative to surgery and who scored above 25 on the decision conflict scale were purposively recruited. Inductive content analysis led to emergent themes. Data analysis was performed from April 2023 to February 2024. Methods used to protect the trustworthiness of the study results included audit trails and member checks.Main outcomes and MeasuresPatients’ experience of decisional conflicts and the antecedents and mediating processes relating to these decisional conflicts.ResultsAmong 31 participants (median [range] age, 39.2 [22-63] years; 22 [71%] were female and 9 [29%] were male), 3 themes were classified: (1) decisional conflicts in decision preparation, (2) decisional conflicts in decision-making, and (3) decisional conflicts in decision implementation. The patient’s experiences of decisional conflicts were diverse and occurred throughout the entire decision-making process. The antecedents of the decisional conflicts included personal influencing factors, system-level influencing factors, and the relational-situational context. Patients with low-risk papillary thyroid microcarcinomas interacted with these antecedents in the process of decision-making and eventually failed to mediate, leading to decisional conflicts.Conclusions and relevanceThis qualitative study found that patients with low-risk papillary thyroid microcarcinomas experienced clinically significant decisional conflicts and experienced considerable challenges and psychological problems in decision-making. The antecedents of decisional conflicts and accompanying mediating processes can provide guidance for individuals, health care professionals, and health care systems to provide decision support for patients with low-risk papillary thyroid microcarcinomas.
Validation of a whole slide image management system for metabolic‐associated steatohepatitis for clinical trials
Authors: Pulaski Hanna , Mehta Shraddha S , Manigat Laryssa C , Kaufman Stephanie , Hou Hypatia , Nalbantoglu ILKe , Zhang Xuchen , Curl Emily , Taliano Ross , Kim Tae Hun , Torbenson Michael , Glickman Jonathan N , Resnick Murray B , Patel Neel , Taylor Cristin E , Bedossa Pierre , Montalto Michael C , Beck Andrew H , Wack Katy E 
Published: September 2024

AbstractThe gold standard for enrollment and endpoint assessment in metabolic dysfunction‐associated steatosis clinical trials is histologic assessment of a liver biopsy performed on glass slides. However, obtaining the evaluations from several expert pathologists on glass is challenging, as shipping the slides around the country or around the world is time‐consuming and comes with the hazards of slide breakage. This study demonstrated that pathologic assessment of disease activity in steatohepatitis, performed using digital images on the AISight whole slide image management system, yields results that are comparable to those obtained using glass slides. The accuracy of scoring for steatohepatitis (nonalcoholic fatty liver disease activity score ≥4 with ≥1 for each feature and absence of atypical features suggestive of other liver disease) performed on the system was evaluated against scoring conducted on glass slides. Both methods were assessed for overall percent agreement with a consensus “ground truth” score (defined as the median score of a panel of three pathologists’ glass slides). Each case was also read by three different pathologists, once on glass and once digitally with a minimum 2‐week washout period between the modalities. It was demonstrated that the average agreement across three pathologists of digital scoring with ground truth was noninferior to the average agreement of glass scoring with ground truth [noninferiority margin: −0.05; difference: −0.001; 95% CI: (−0.027, 0.026); and p < 0.0001]. For each pathologist, there was a similar average agreement of digital and glass reads with glass ground truth (pathologist A, 0.843 and 0.849; pathologist B, 0.633 and 0.605; and pathologist C, 0.755 and 0.780). Here, we demonstrate that the accuracy of digital reads for steatohepatitis using digital images is equivalent to glass reads in the context of a clinical trial for scoring using the Clinical Research Network scoring system.
Remaining Useful Life Prediction of Rolling Bearings Based on Adaptive Continuous Deep Belief Networks and Improved Kernel Extreme Learning Machine
Authors: Zhou Meng , Wang Jing , Shi Yuntao , Wang Zhenhua , Puig Vicenç 
Published: September 2024

ABSTRACTRolling bearings are crucial components in a wide variety of machinery. Monitoring their conditions and predicting their remaining useful life (RUL) is vital to prevent unexpected breakdowns, optimize maintenance schedules, and reduce operational costs. This article proposes an approach based on adaptive continuous deep belief networks (ACDBN) and improved kernel extreme learning machine (KELM) to predict the RUL of rolling bearings. In the proposed approach, the ACDBN model is used for extracting hidden fault features and the distance between the initial health state and the real‐time degradation state is used to construct a health indicator (HI). Then, a hybrid kernel extreme learning machine prediction model optimized by the sparrow search algorithm (SSA‐KELM) is proposed to estimate the RUL using the extracted HIs. The SSA is used to find the optimal parameters of the KELM model. The proposed method has been assessed using existing bearing datasets. The obtained results indicate that the proposed method successfully improves RUL prediction accuracy compared to existing approaches in the literature.
Green Synthesis of Catalytic 3D Platinum Nanostructures from a Body‐Centered Cubic Pluronic Micellar Array Template
Authors: Di Spirito Nicola Antonio , Liu Wanli , Williams Stephen , Squires Adam M. , Di Lorenzo Mirella 
Published: September 2024

AbstractOrdered and well‐interconnected 3D electrode nanostructures open up exciting perspectives in catalysis, sensing and energy harvesting. Here, highly ordered 3D nano‐sized Pt mesoporous structures based on the I‐Wrapped Package (I‐WP) architecture with 13.5 nm unit cell size, previously unreported for metal nanomaterials, are presented. The samples are synthetized by soft‐template electrodeposition, using the body‐centred cubic (BCC) lyotropic crystalline micellar phase of Pluronic F68 as the template. The specific surface area of the resulting Pt nanoarchitecture is 36 ± 13 m2 g−1. The oxygen reduction reaction kinetic current is 0.98 mA cm−2; the current density normalized by the electrochemical active surface area and the weight of deposited Pt are 0.92 mA cm−2 and 153.53 A g−1, respectively, showing superior properties than conventional Pt nanostructures produced by surfactant templates. These results suggest a nanostructure based on the topology of the I‐WP minimal surface, representing the first case at this length scale from a metallic material, opening up new research directions in fundamental physics based on predicted thermal and phononic properties for this topology. The water‐based template provides a chemical‐free, eco‐friendly route for ordered mesoporous conductive nanomaterials manufacturing, inspiring future trends in the field.
Gasdermin C promotes Stemness and Immune Evasion in Pancreatic Cancer via Pyroptosis‐Independent Mechanism
Authors: Wu Renfei , Li Jingwei , Aicher Alexandra , Jiang Ke , Tondi Serena , Dong Shuang , Zheng Quan , Tang Siqi , Chen Minchun , Guo Zhenyang , Šabanović Berina , Ananthanarayanan Preeta , Jiang Lingxi , Sapino Anna , Wen Chenlei , Fu Da , Shen Baiyong , Heeschen Christopher 
Published: September 2024

AbstractPancreatic ductal adenocarcinoma (PDAC) is a highly metastatic and lethal disease. Gasdermins are primarily associated with necrosis via membrane permeabilization and pyroptosis, a lytic pro‐inflammatory type of cell death. In this study, GSDMC upregulation during PDAC progression is reported. GSDMC directly induces genes related to stemness, EMT, and immune evasion. Targeting Gsdmc in murine PDAC models reprograms the immunosuppressive tumor microenvironment, rescuing the recruitment of anti‐tumor immune cells through CXCL9. This not only results in diminished tumor initiation, growth and metastasis, but also enhances the response to KRASG12D inhibition and PD‐1 checkpoint blockade, respectively. Mechanistically, it is discovered that ADAM17 cleaves GSDMC, releasing nuclear fragments binding to promoter regions of stemness, metastasis, and immune evasion‐related genes. Pharmacological inhibition of GSDMC cleavage or prevention of its nuclear translocation is equally effective in suppressing GSDMC's downstream targets and inhibiting PDAC progression. The findings establish GSDMC as a potential therapeutic target for enhancing treatment response in this deadly disease.
Surface Charge Regulation of Graphene by Fluorine and Chlorine Co‐Doping for Constructing Ultra‐Stable and Large Energy Density Micro‐Supercapacitors
Authors: Liu Binbin , Hou Jiagang , Wang Kai , Xu Caixia , Zhang Qinghua , Gu Lin , Zhou Weijia , Li Qian , Wang John , Liu Hong 
Published: September 2024

AbstractSettling the structure stacking of graphene (G) nanosheets to maintain the high dispersity has been an intense issue to facilitate their practical application in the microelectronics‐related devices. Herein, the co‐doping of the highest electronegative fluorine (F) and large atomic radius chlorine (Cl) into G via a one‐step electrochemical exfoliation protocol is engineered to actualize the ultralong cycling stability for flexible micro‐supercapacitors (MSCs). Density functional theoretical calculations unveiled that the F into G can form the “ionic” C─F bond to increase the repulsive force between nanosheets, and the introduction of Cl can enlarge the layer spacing of G as well as increase active sites by accumulating the charge on pore defects. The co‐doping of F and Cl generates the strong synergy to achieve high reversible capacitance and sturdy structure stability for G. The as‐constructed aqueous gel‐based MSC exhibited the superb cycling stability for 500,000 cycles with no capacitance loss and structure stacking. Furthermore, the ionic liquid gel‐based MSC demonstrated a high energy density of 113.9 mW h cm−3 under high voltage of up to 3.5 V. The current work enlightens deep insights into the design and scalable preparation of high‐performance co‐doped G electrode candidate in the field of flexible microelectronics.
Efficient Rescue of Retinal Degeneration in Pde6a Mice by Engineered Base Editing and Prime Editing
Authors: Liu Zhiquan , Chen Siyu , Davis Alexander E. , Lo Chien‐Hui , Wang Qing , Li Tingting , Ning Ke , Zhang Qi , Zhao Jingyu , Wang Sui , Sun Yang 
Published: September 2024

AbstractRetinitis pigmentosa (RP) is a complex spectrum of inherited retinal diseases marked by the gradual loss of photoreceptor cells, ultimately leading to blindness. Among these, mutations in PDE6A, responsible for encoding a cGMP‐specific phosphodiesterase, stand out as pivotal in autosomal recessive RP (RP43). Unfortunately, no effective therapy currently exists for this specific form of RP. However, recent advancements in genome editing, such as base editing (BE) and prime editing (PE), offer a promising avenue for precise and efficient gene therapy. Here, it is illustrated that the engineered BE and PE systems, particularly PE, exhibit high efficiency in rescuing a target point mutation with minimal bystander effects in an RP mouse model carrying the Pde6a (c.2009A > G, p.D670G) mutation. The optimized BE and PE systems are first screened in N2a cells and subsequently assessed in electroporated mouse retinas. Notably, the optimal PE system, delivered via dual adeno‐associated virus (AAV), precisely corrects the pathogenic mutation with average 9.4% efficiency, with no detectable bystander editing. This correction restores PDE6A protein expression, preserved photoreceptors, and rescued retinal function in Pde6a mice. Therefore, this study offers a proof‐of‐concept demonstration for the treatment of Pde6a‐related retinal degeneration using BE and PE systems.
Biomimetic Liver Lobules from Multi‐Compartmental Microfluidics
Authors: Huang Danqing , Wu Zhuhao , Wang Ji , Wang Jinglin , Zhao Yuanjin 
Published: September 2024

AbstractEngineered liver lobule is highly practical in hepatic disease treatment, while constructing a 3D biomimetic lobule with a heterogeneous architecture on a large scale is challenging. Here, inspired by the natural architectural construction of hepatic lobules, biomimetic hepatic lobules are proposed with coaxially through‐pores for nutrient exchange via microfluidic technology. This multi‐channel microfluidic chip is made by parallelly installing capillaries. Sodium alginate (Alg) is pumped through its central channel, while Ca2+‐loaded gelatin methacrylate (GelMA) solutions encapsulating hepatocytes, mesenchymal stem cells, and endothelia cells are pumped through surrounding channels, respectively. The rapid gelation of Alg and Ca2+ brings about an in situ formation of Alg fiber, with heterogeneous multi‐cell‐laden GelMA microcarriers forming around it. The peeled‐off microcarriers each featured with a coaxially through pore, simulating the cord‐like structure of hepatic lobule and facilitating nutrients exchange. Meanwhile, the spatially anisotropic arrangement of cells highly simulates the hepatic architecture. It is demonstrated that by transplanting these biomimetic microparticles into liver in situ, the failed liver in rat shows increased regeneration and decreased necrosis. These results indicated that the microfluidic multi‐compartmental microcarriers provide a new strategy to engineer 3D artificial livers for clinical translation.
Tandem Electroreduction of Nitrate to Ammonia Using a Cobalt–Copper Mixed Single‐Atom/Cluster Catalyst with Synergistic Effects
Authors: Suh Jungwon , Choi Hyeonuk , Kong Yujin , Oh Jihun 
Published: September 2024

AbstractElectrochemical conversion of waste nitrate (NO3−) to ammonia (NH3) for environmental applications, such as carbon‐neutral energy sources and hydrogen carriers, is a promising alternative to the energy‐intensive Haber–Bosch process. However, increasing the energy efficiency is limited by the high overpotential and selectivity. Herein, a Co─Cu mixed single‐atom/cluster catalyst (Co─Cu SCC) is demonstrated—with well‐dispersed Co and Cu active sites anchored on a carbon support—that delivers high NH3 Faradaic efficiency of 91.2% at low potential (–0.3 V vs. RHE) due to synergism between the heterogenous active sites. Electrochemical analyses reveal that Cu in Co─Cu SCC preferentially catalyzes the NO3−‐to‐NO2− pathway, whereupon Co catalyzes the NO2−‐to‐NH3 pathway. This tandem electroreduction bypasses the rate‐determining steps (RDSs) for Co and Cu to lower the reaction energy barrier and surpass scaling relationship limitations. The electrocatalytic performance is amplified by the subnanoscale catalyst to increase the partial current density of NH3 by 2.3 and 5.4 times compared to those of individual Co, Cu single‐atom/cluster catalysts (Co SCC, Cu SCC), respectively. This Co─Cu SCC is operated stably for 32 h in a long‐term bipolar membrane (BPM)‐based membrane electrode assembly (MEA) system for high‐concentration NH3 synthesis to produce over 1 m NH3 for conversion into high‐purity NH4Cl at 2.1 g day−1.
Repurposing Copper(II)/THPTA as A Bioorthogonal Catalyst for Thiazolidine Bond Cleavage
Authors: Ma Chengyun , Liu Guoqing , Yin Juan , Sun Jianan , Luo Disheng , Yang Dechun , Pang Shuo , Hou Wei , Hemu Xinya , Ye Bangce , Bi Xiaobao 
Published: September 2024

AbstractMetal‐mediated chemical transformations are promising approaches to manipulate and regulate proteins in fundamental biological research and therapeutic development. Nevertheless, unlike bond‐forming reactions, the exploration of selective bond cleavage reactions catalyzed by metals that are fully compatible with proteins and living systems remains relatively limited. Here, it is reported that Copper(II)/tris(3‐hydroxypropyltriazolylmethyl)amine (THPTA), commonly used in copper‐catalyzed azide‐alkyne cycloaddition (CuAAC) reaction, can be repurposed as a new bioorthogonal catalyst for thiazolidine (Thz) bond cleavage. This process liberates an α‐oxo‐aldehyde group under physiological conditions, without requiring additional additives. To showcase the utility of this method, this simple catalyst system is coupled with genetic code expansion technology to achieve on‐demand activation of genetically encoded Thz‐caged α‐oxo‐aldehydes, enabling further functionalization of proteins. For the first time, this cell‐compatible Thz uncaging reaction allows for the site‐specific installation of α‐oxo‐aldehydes at the internal positions of proteins in phage and bacterial surface display systems, expanding the chemical space of proteins. Overall, this study expands the toolkit of bioorthogonal catalysts and paves the way for metal‐promoted chemical reactions in living systems, potentially benefiting various applications in the future.
Predicting DNA Reactions with a Quantum Chemistry‐Based Deep Learning Model
Authors: Wang Likun , Li Na , Cao Mengyao , Zhu Yun , Xiong Xiewei , Li Li , Zhu Tong , Pei Hao 
Published: September 2024

AbstractIn this study, a deep learning model based on quantum chemistry is introduced to enhance the accuracy and efficiency of predicting DNA reaction parameters. By integrating quantum chemical calculations with self‐designed descriptor matrices, the model offers a comprehensive description of energy variations and considers a broad range of relevant factors. To overcome the challenge of limited labeled data, an active learning method is employed. The results demonstrate that this model outperforms existing methods in predicting DNA hybridization free energies and strand displacement rate constants, thus advancing the understanding of DNA molecular interactions, and aiding in the precise design and optimization of DNA‐based systems.
Migration scale, process, and impact in the Tiwanaku colonies: Paleomobility at the archaeological site of Omo M10
Authors: Dahlstedt Allisen C. , Baitzel Sarah I. , Goldstein Paul S. , Knudson Kelly J. 
Published: September 2024

AbstractObjectivesContemporary migrations show form and intensity of interaction between homeland and host communities to shape social dynamics and identities. We apply here a contemporary theoretical framework and biogeochemical analyses to elucidate the scale, processes, and impacts of migration in the Tiwanaku polity (6th–11th c. CE) by inferring the mobility of individuals interred at the Tiwanaku‐affiliated site of Omo M10 (Moquegua Valley, Peru).Materials and MethodsFor each of 124 individuals, we captured paleomobility across the life‐course by analyzing up to four enamel and bone samples that formed during discrete developmental periods for radiogenic strontium (87Sr/86Sr) and stable oxygen (δ18Ocarbonate(VPDB)) isotopes.ResultsAt Omo M10, archaeological human enamel and bone values range from 87Sr/86Sr = 0.70632–0.72183 and δ18Ocarbonate(VPDB) = −13.4‰ to +1.7‰, with a mean of 87Sr/86Sr = 0.70763 ± 0.00164 (1σ, n = 334) and δ18O = −7.8‰ ± 1.9‰ (1σ, n = 334).DiscussionTogether with archaeological evidence, we interpret these data as evidence for multigenerational interaction between communities in the high‐altitude Tiwanaku heartland and at the site of Omo M10. Our results suggest that one‐fourth of individuals spent some part of their life outside of Moquegua and one in eight individuals from Omo M10 were first‐generation migrants. Greater mobility of females and juveniles at Omo M10 indicates that gender and family were important social constructs in maintaining relationships and cultural continuity in provincial Tiwanaku life, and communities maintained autochthonous migration streams with Tiwanaku‐affiliated populations throughout the south‐central Andes. Intra‐individual biogeochemical analyses of migration at Omo M10 contribute a nuanced perspective on the diverse experiences of multigenerational Tiwanaku colonies.