Contribution of cuproptosis and immune-related genes to idiopathic pulmonary fibrosis disease by Chengji Jin, Jia Li, Qiaoyu Li, Lipeng Zhang, Shaomao Zheng, Qiong Feng, Yongjie Li, Yu Zheng, Qiuli Nie, Jin Liang, Jing Wang, Jing Wang

“…Additionally, multiple bioinformatics analyses were employed to identify immune-related biomarkers associated with the diagnosis of IPF, offering valuable insights for future treatment strategies.MethodsFour microarray datasets were selected from the Gene Expression Omnibus (GEO) collection for screening. …”
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Long read whole genome sequencing-based discovery of structural variants and their role in aetiology of non-syndromic autism spectrum disorder in India by Jhanvi Shah, Debasrija Mondal, Deepika Jain, Priti Mhatre, Ketan Patel, Anand Iyer, Manoj Pandya, Bhargavi Menghani, Gayatri Dave, Jayesh Sheth, Frenny Sheth, Shweta Ramdas, Harsh Sheth

“…Short read sequencing (SRS) and chromosomal microarray (CMA) are unable to resolve these SVs due to their inherent technological limitations. …”
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Immune-related gene characterization and biological mechanisms in major depressive disorder revealed based on transcriptomics and network pharmacology by Shasha Wu, Shasha Wu, Qing Jiang, Jinhui Wang, Jinhui Wang, Daming Wu, Yan Ren

“…Subsequently, gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Cytoscape plugin CluGO, and Gene Set Enrichment Analysis (GSEA) were utilized to identify immune-related genes. The final selection of immune-related hub genes was determined through the least absolute shrinkage and selection operator (Lasso) regression analysis and PPI analysis. …”
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Clinical significance and gene prediction of a novel classification system based on tacrolimus concentration-to-dose ratio in the early post-liver transplant period by Junwei Fan, Junwei Fan, Peihao Wen, Liyun Yuan, Yan Xia, Shijie Hu, Xiaoqing Zhang, Zhihai Peng, Zhihai Peng

“…All recipients and their corresponding donor livers from center 1 were genotyped using an Affymetrix DMET Plus microarray, and association analysis was performed using trough blood concentration/weight-adjusted-dose ratios (CDR, (ng/mL)/(mg/kg)). …”
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Modulation of homologous recombination gene activity in breast tumor cells in an <i>in vitro</i> model by M. M. Tsyganov, A. A. Frolova, E. A. Kravtsova, I. A. Tsydenova, M. K. Ibragimova

“…To assess the presence of chromosomal aberrations, microarray analysis was performed on DNA chips.Results. …”
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Patient and provider preferences for long-acting TB preventive therapy by M. Vermeulen, K.K. Scarsi, R. Furl, H. Sayles, M.J. Anderson, S. Valawalkar, A. Kadam, S.R. Cox, V. Mave, M. Barthwal, C. Schutz, A. Ward, J. Dountio Ofimboudem, G. Meintjes, S. Rannard, A. Owen, S. Swindells, on behalf of the LONGEVITY consortium

“…CONCLUSION: Injectable LA-TPT may be highly acceptable and feasible if concerns surrounding cost, effectiveness, and safety are addressed.…”
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Vitamin C Treatment Rescues Prelamin A-Induced Premature Senescence of Subchondral Bone Mesenchymal Stem Cells by Yan-Nv Qu, Li Zhang, Ting Wang, He-Yang Zhang, Ze-Ji Yang, Fang-Fang Yuan, Yan Wang, Si-Wei Li, Xiao-Xia Jiang, Xiao-Hua Xie

“…Importantly, after VC treatment, MSC/PLA showed enhanced therapy effect in the hind-limb ischemia model. In conclusion, prelamin A can accelerate SCB-MSC premature senescence by inducing DNA damage. …”
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Acetylation suppresses breast cancer progression by sustaining CLYBL stability by Xinyue Deng, Chenglong Ma, Xingyu Chen, Ming Yi, Qianhua Cao, Ruocen Liao, Xingyu Lei, Longchang Bai, Bin Zhao, Yingnan Wang, Zhuoyang Shen, Liujing Wu, Chenfang Dong, Zhijun Dai

“…Methods CLYBL expression patterns in breast cancer were assessed using a breast cancer tissue microarray, immunohistochemistry, and publicly available datasets. …”
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Exploration of the potential neurotransmitter or neuromodulator-like properties of harmine: evidence from synthesis to synaptic modulation by Zhejun Xie, Ning Cao, Manlin Li, Hanxue Wang, Huida Guan, Xuemei Cheng, Changhong Wang

“…Subsequently, the release, metabolism, and uptake pathways of harmine were investigated using rat brain synaptosomes and primary neural cells through mass spectrometry analysis. A human proteome microarray was employed to screen for harmine-binding receptors, followed by experimental validation.Results:Adipocyte plasma membrane-associated protein isoform X1 (APMAP-X1) could effectively catalyze the Pictet-Spengler reaction in mammals to generate tetrahydroharmine, which was subsequently oxidized by myeloperoxidase (MPO) to produce harmine. …”
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Combining multi-omics analysis with machine learning to uncover novel molecular subtypes, prognostic markers, and insights into immunotherapy for melanoma by Songyun Zhao, Zihao Li, Kaibo Liu, Gaoyi Wang, Quanqiang Wang, Hua Yu, Wanying Chen, Hao Dai, Yijun Li, Jiaheng Xie, Yucang He, Liqun Li

“…Methods We obtained and processed transcriptomic data, including RNA expression profiles, methylation microarray data, gene mutation data, and clinical information, from the TCGA dataset using multi-omics analysis and machine learning techniques. …”
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Pharmacogenomic testing implementation: Tertiary care center experience and results of a pilot of 512 patients by Dana Bakheet, Hana Al Alshaykh, Ghadi Askar, Sateesh Maddirevula, Samya Hagos, Nasir Hamad Alshahrani, Midrar Alhusseini, Amani Moharram, Faries Algadhi, Osama Alswailim, Moatasem Alsulaim, Bandar Alamro, Fadl Elmula Mohamed Fadl Elmula, Bahadur Khan, Ahmed Almustafa, Ahmed Alshehri, Dimpna Brotons, Fahad Alajlan, Mohammed Alnahedh, Abdullah Alsuwaidan, Salah Baz, Ahmed Alfares

“…We used the PharmacoScan microarray-based test to perform genotyping. Results: To date, 512 patients have been tested. 97.5% of all patients have at least 1 gene with altered function. …”
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DSN1 may predict poor prognosis of lower-grade glioma patients and be a potential target for immunotherapy by Yulong Jia, Meiling Liu, Han Liu, Wenjia Liang, Qingyun Zhu, Chao Wang, Yake Chen, Yanzheng Gao, Zhendong Liu, Xingbo Cheng

“…DSN1 has been previously found to be positively correlated with various cancers. However, the effect of DSN1 or its methylation on the prognosis, molecular characteristics, and immune cell infiltration of low-grade glioma (LGG) has not yet been studied. …”
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Droplets Cas13a‐RPA measurement delineates potential role for plasma circWDR37 in colorectal cancer by Jingsong Xu, Li Cao, Shuang Yang, Ying Jian, Yu Liu, Zhen Shen, Qian Liu, Xiang Chen, Min Li, Shun Li, Xiaolei Zuo, Min Li, Hua Wang

“…The arraystar circRNA microarray assays, functional experiments in vitro and in vivo, and qPCR were performed to discover and validate that circWDR37 is a biomarker for early screening and prognosis evaluation of CRC. …”
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Molecular mechanism and biological pathway of high-expressed RAD51 in regulating cell adhesion and potentially affecting oral squamous cell carcinoma by Yu-Xing Tang, Yu-Yan Pang, Yan Cui, Guo-Jiao Wu, Lin-Qing Huang, Chang-Zhan Zhou, Bin Li, Qi Li, Bang-Teng Chi, Rong-Quan He, Di-Yuan Qin, Jian-Di Li, Gang Chen, Dong-Ming Li, Yi-Wu Dang

“…Methods Bulk RNA (RNA-seq and microarray), immunohistochemistry (IHC), and single-cell sequencing (scRNA-seq) were used to assess RAD51 expression and its clinical relevance in OSCC. …”
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells by Nihal AlMuraikhi, Dalia Ali, Radhakrishnan Vishnubalaji, Muthurangan Manikandan, Muhammad Atteya, Abdulaziz Siyal, Musaad Alfayez, Abdullah Aldahmash, Moustapha Kassem, Nehad M. Alajez

“…Global gene expression profiling was conducted using the Agilent microarray platform, and data normalization and bioinformatics were performed using GeneSpring software. …”
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IGF2BP3/ESM1/KLF10/BECN1 positive feedback loop: a novel therapeutic target in ovarian cancer via lipid metabolism reprogramming by Anbo Gao, Juan Zou, Tian Zeng, Mei Qin, Xing Tang, Ting Yi, Guangming Song, Jie Zhong, Yuhuan Zeng, Wenchao Zhou, Qin Gao, Qunfeng Zhang, Juan Zhang, Yukun Li

“…This study tended to investigate the effects of endothelial cell-specific molecule 1 (ESM1) in OC. …”
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Bioinformatics analysis and experimental validation of potential targets and pathways in chronic kidney disease associated with renal fibrosis by Cui Huimin, Zhao Yuxin, Wang Peng, Gong Wei, Lin Hong, Li Na, Yang Jianjun

“…Conversely, when CHUK was further overexpressed, the inhibitory effect of miR-223-3p on epithelial-mesenchymal transition (EMT) was attenuated, confirming the specific interaction between miR-223-3p and CHUK. …”
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Machine learning-based integration identifies plasma cells-related gene signature ST6GAL1 in idiopathic pulmonary fibrosis by Fanjie Lin, Ken Lin, Donglei Li, Weiguo Kong, Jiayu Zhuang, Wei He, Xinguang Wei, Tianchi Xiao, Hao Zu, Zili Zhang, Wenju Lu

“…Moreover, the differentially expressed genes (DEGs) were obtained based on the bulk RNA-seq and microarray data. In addition, a machine learning-based integrative procedure for constructing a concordance plasma cells-related gene signature (PCRGS) was developed. …”
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PODO447: a novel antibody to a tumor-restricted epitope on the cancer antigen podocalyxin by Blake Gilks, Martin Köbel, Diana Canals Hernaez, Michael R Hughes, Pamela Dean, Peter Bergqvist, Ismael Samudio, Ola Blixt, Katharina Wiedemeyer, Yicong Li, Chris Bond, Eric Cruz, Calvin D Roskelley, Kelly M McNagny

“…Tumor specificity was assessed using primary normal tissue and an ovarian cancer tissue microarray (TMA). Mapping of the tumor-restricted epitope was performed using enzyme-treated human tumor cell lines and a glycan array.Results One mAb (PODO447) showed strong reactivity with a variety of Podxl+ tumor cell lines but not with normal primary human tissue including Podxl+ kidney podocytes and most vascular endothelia. …”
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Improved epigenetic age prediction models by combining sex chromosome and autosomal markers by Zhong Wan, Peter Henneman, Huub C. J. Hoefsloot, Ate D. Kloosterman, Pernette J. Verschure

“…Results We employed random forest regression (RFR) to construct age prediction models with publicly available DNAm Infinium 450 K microarray data of sex chromosomes from human whole blood and buffy coat samples and assessed the RFR model performance based on the root-mean squared error (RMSE) and the mean absolute deviation (MAD) of cross-validation. …”
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