Magnetically Induced Anisotropic Microstructures on Polyethylene Glycol Hydrogel Facilitate BMSC Alignment and Osteogenic Differentiation by Hua Zhang, Yang Luo, Rong Xu, Xu Cao, Guanrong Li, Shang Chen

“…Overall, this study presents an efficient strategy for constructing anisotropic Fe₃O₄ micropattern hydrogels, providing a bioactive platform that significantly enhances cellular functions.…”
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Proceedings of essential health care package development, in Botswana and Sierra Leone, November 2022 by Humphrey Cyprian Karamagi, Solyana Ngusbrhan Kidane, Pierre Claver Kariyo, Araia Berhane Mesfin, Isabella Maina, Gertrude Avortri, Hyppolite Kalambay Ntembwa

“…More specifically, the workshop aimed to gain consensus on identification of conditions to be addressed in each age cohort, rationalizing the EHCP interventions across public health functions, levels of care and age cohorts. Technical working groups were constructed for each age cohort and tasked to lead the appraisal of interventions for technical comprehensiveness, contextualization to country needs, and mapping of interventions to the appropriate levels of care. …”
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Identification of novel and differentially expressed microRNAs in ovine ovary and testis tissues using Solexa sequencing and bioinformatics by Wei-hua CHANG, Yong ZHANG, Zhang-rui CHENG, Xing-xu ZHAO, Juan-hong WANG, You-ji MA, Jun-jie HU, Quan-wei ZHANG

“…MicroRNAs (miRNAs) are small, single stranded, non-coding RNA molecules, about 19–25 nucleotides in length, which regulate the development and functions of reproductive system of mammal. To discover novel miRNAs and identify the differential expression of them in ovine ovary and testis tissues, the study constructed two libraries by using next-generation sequencing technologies (Solexa high-throughput sequencing technique). …”
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A migrasome-related lncRNA signature predicts prognosis and immune response in hepatocellular carcinoma: Implications for biomarker discovery and therapeutic targeting by Haotian Qin, Haotian Qin, Tiantian Qi, Tiantian Qi, Min Liu, Weibei Sheng, Weibei Sheng, Junyu Qian, Junyu Qian, Jian Weng, Jian Weng, Qi Yang, Jun Yang

“…Clinical sample validation and functional assays were performed to verify biological relevance. …”
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Multi-omics integrated analysis reveals the molecular mechanism of tail fat deposition differences in sheep with different tail types by Wannian Wang, Zhixv Pang, Siying Zhang, Pengkun Yang, Yangyang Pan, Liying Qiao, Kaijie Yang, Jianhua Liu, Ruizhen Wang, Wenzhong Liu

“…Conclusions Our results provide insights into the molecular mechanisms of tail fat deposition in sheep with different tail types, and provide a deeper explanation for the development and functional regulation of adipocytes.…”
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Multi-Modal CLIP-Informed Protein Editing by Mingze Yin, Hanjing Zhou, Yiheng Zhu, Miao Lin, Yixuan Wu, Jialu Wu, Hongxia Xu, Chang-Yu Hsieh, Tingjun Hou, Jintai Chen, Jian Wu

“…Background: Proteins govern most biological functions essential for life, and achieving controllable protein editing has made great advances in probing natural systems, creating therapeutic conjugates, and generating novel protein constructs. …”
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Germline genetic scores associated with cancer gene expression and immune responses across multiple cancer types by Soojin Cha, Injeong Shim, Sang-Hyuk Jung, Beomsu Kim, Soyeon Kim, Mi-So Park, Hyunbin Cho, Yonghyun Nam, Woong-Yang Park, Dokyoon Kim, Hong-Hee Won

“…Conclusions Our study provides insights into functional genetic scores associated with cancers.…”
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A promoter library for tuning gene expression in Cupriavidus necator under autotrophic conditions by Wataru Kitagawa, Wataru Kitagawa, Kensuke Igarashi, Ryo Nagasawa, Shigeyuki Kakizawa, Mizuki Horino, Kosuke Fujishima, Kosuke Fujishima, Toshiaki Fukui, Souichiro Kato, Souichiro Kato, Souichiro Kato

“…This study aimed to establish a promoter library that functions in C. necator grown under autotrophic conditions. …”
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The arrow of time in Parkinson’s disease by Fatemeh Sadeghi, Elvira del Agua Banyeres, Alessandra Pizzuti, Abdullah Okar, Kai Grimm, Christian Gerloff, Morten L. Kringelbach, Rainer Goebel, Simone Zittel, Gustavo Deco

“…Moreover, whole-brain generative computational models consisting of 1051 Hopf oscillators were constructed to evaluate effective connectivities and alterations of the functional hierarchical organization. …”
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Establishment and applications of specific nursing models for patients undergoing orthognathic surgery by LIU Fan, BAI Yuanyan

“…The model is divided into three main phases: prehospital early referral care, in-hospital intensive care, and posthospital extended care, and contains five modules: case management, psychological intervention, nutritional guidance, management of complications, and functional recovery. In the pre-hospital early referral care stage, the specific nursing measures include digital surgical design, psychological care, and nutritional guidance; in the in-hospital cluster care stage, the specific nursing measures include four modules, such as management of complications, orofacial functional recovery, nutritional instructions, and psychological interventions; and in the post-hospital extended care stage, the patients need to be provided with case management, psychological guidance, nutritional guidance, and other nursing care. …”
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Ferroptosis genes and ST-segment elevation myocardial infarction outcomes: A predictive signature by Xing-jie Wang, Lei Huang, Min Hou, Jie Guo, Xi-ming Li

“…We applied GEO2R to find DEFRGs and overlapped them among the picked datasets. We performed functional enrichment analysis to explore their biological functions. …”
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Classification patterns identification of immunogenic cell death-related genes in heart failure based on deep learning by Zhihui Ma, Shixin Ma, Bin Chen, Yongjun Zhang, Jinmei Zeng, Jianping Tao, Yu Hu

“…Identified HF subtypes were further refined using differentially expressed genes, allowing for the assessment of immune infiltration and functional enrichment. Advanced machine learning techniques were used to identify diagnosis-related genes, and these genes were used to construct nomogram models. …”
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Effect of WSSV infection on immunity, intestinal microbial composition and its derived metabolites synthesis in Procambarus clarkii by Xiaochuan Zheng, Jie Yang, Feifan Xu, Qunlan Zhou, Cunxin Sun, Aimin Wang, Jinjuan Wan, Jiajia Li, Bo liu

“…The WSSV results in considerable economic losses to the crayfish aquaculture industry. We constructed an artificial infection model of WSSV in crayfish and conducted a comprehensive investigation into the alterations in non-specific immunity, intestinal microbial structure, and functional metabolites of crayfish following WSSV infection by integrating 16S rDNA and targeted metabolomics techniques. …”
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Fungi promote cross-domain interactions even in deep anoxic mangrove sediments by Ming Sheng Ng, Nathaniel Soon, Min Yi Chin, Sze Koy Ho, Lynn Drescher, Mohamad Azlin Bin Sani, Kiah Eng Lim, Benjamin J. Wainwright, Ying Chang

“…Abstract Background Microbial communities in mangrove sediments play vital ecological roles that underpin the functioning of the overall mangrove ecosystem. Fungal communities, in particular, are known to play crucial roles across sediment systems, yet their roles in mangrove sediments, especially in deeper layers, remain poorly understood without a comprehensive inter-domain characterization. …”
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Machine learning identifies PYGM as a macrophage polarization–linked metabolic biomarker in rectal cancer prognosis by Chengyuan Xu, Chengyuan Xu, Siqi Zhang, Bin Sun, Zicheng Yu, Hailong Liu

“…Clinical tissue analyses and functional assays confirmed that PYGM is upregulated in rectal cancer and promotes tumor cell proliferation, migration, and M2 macrophage polarization.ConclusionsThis study firstly highlights PYGM as a key metabolic and immunological regulator in rectal cancer, with significant prognostic and therapeutic implications. …”
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Analysis of the Transcriptional Control of <i>Bcl11b</i> in Chicken: IRF1 and GATA1 as Negative Regulators by Lingling Qiu, Haojie Wang, Wenhao Li, Ting Yang, Hao Bai, Guobin Chang

“…To gain insights into the molecular mechanisms underlying <i>Bcl11b</i> expression regulation in chickens, we constructed various truncated dual luciferase reporter vectors and analyzed the promoter region of <i>Bcl11b</i>. …”
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Shotgun metagenomic analysis of the oral microbiome in gingivitis: a nested case-control study by Muhammed Manzoor, Jaakko Leskelä, Milla Pietiäinen, Nicolas Martinez-Majander, Eija Könönen, Teemu Niiranen, Leo Lahti, Juha Sinisalo, Jukka Putaala, Pirkko J. Pussinen, Susanna Paju

“…Nineteen bacterial species and four microbial functional profiles, including L-methionine, glycogen, and inosine-5’-phosphate biosynthesis, were associated with GG/IP. …”
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Integrating metabolism gene clusters and tumor immune microenvironment in head and neck squamous cell carcinoma by Meina Lian, Xiaoxia Wang, Zixian Huang, Yudong Wang, Zhiquan Huang

“…Unsupervised clustering was applied to identify metabolic subtypes, and differentially expressed metabolism-related genes (MRGs) were screened for prognostic relevance. A risk model was constructed based on 16 core MRGs. TNFAIP6 was further evaluated for its functional role through in vitro assays, including proliferation, migration, and invasion analyses. …”
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Network pharmacology-based screening and validation of tea-derived small molecules against lung cancer by YANG Rui, DU Sifen, JIANG Lehui, FU Tian, REN Pengju, JIANG Chengyu, ZHANG Yanli

“…The targets of these small molecules were obtained from the BATMAN-TCM database to construct a “component-target-disease” network. Lung cancer-related disease targets were retrieved from the GeneCard and Malacard databases followed by Gene Ontology (GO) functional and KEGG pathway enrichment analyses of potential pharmacological targets. …”
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Analysis of immune characteristics and inflammatory mechanisms in COPD patients: a multi-layered study combining bulk and single-cell transcriptome analysis and machine learning by Changjin Wei, Yongfeng Zhu, Caiming Chen, Feipeng Li, Li Zheng

“…Using Lasso regression and random forest algorithms, seven feature genes were selected to construct a COPD risk prediction model, which demonstrated good accuracy. …”
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