Identification of potential biomarkers for 2022 Mpox virus infection: a transcriptomic network analysis and machine learning approach by Joy Prokash Debnath, Kabir Hossen, Sabrina Bintay Sayed, Md. Sayeam Khandaker, Preonath Chondrow Dev, Saifuddin Sarker, Tanvir Hossain

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Transcriptome Analysis of <i>Culex pipiens quinquefasciatus</i> Larvae Exposed to a Semi-Lethal Dose of Vermistatin by Junhui Chen, Zhiyong Xu, Feiying Yang, Jian Yang, Wendong Kuang, Jianghuai Li, Yaqi Wang, Liang Jin

“…Vermistatin has shown promising activity against <i>Cx. p. quinquefasciatus</i> larvae in our previous research. …”
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Transcriptome-Wide Identification of Neuropeptides and Neuropeptide Receptors in the Twenty-Eight-Spotted Ladybird <i>Henosepilachna vigintioctopunctata</i> by Quanxing Lei, Ziming Wang, Shuangyan Yao, Aili Lin, Yunhui Zhang, Chengxian Sun, Xiaoguang Liu, Mengfang Du, Xiaoming Liu, Shiheng An

“…Herein, the transcriptome of the central nervous system (CNS) of <i>H. vigintioctopunctata</i> was sequenced. …”
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Saliva-derived transcriptomic signature for gastric cancer detection using machine learning and leveraging publicly available datasets by Catarina Lopes, Andreia Brandão, Manuel R. Teixeira, Mário Dinis-Ribeiro, Carina Pereira

“…Abstract Saliva, a non-invasive, self-collected liquid biopsy, holds promise for early gastric cancer (GC) screening. This study aims to assess the potential of saliva as a proxy for malignant gastric transformation and its diagnostic value through transcriptomic profiling. …”
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Integrating Single‐Cell Transcriptomics and Machine Learning to Define an ac4C Gene Signature in Lung Adenocarcinoma by Yuan Wang, Wei Su, Guangyao Zhou, Yijie Wang, Chunnuan Wu, Pengpeng Zhang, Lianmin Zhang

“…The ARGSig model provides a promising molecular tool for prognosis evaluation and personalized treatment guidance in lung adenocarcinoma patients.…”
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Single cell transcriptomic analysis reveals tumor immune infiltration by macrophage cells gene signature in lung adenocarcinoma by Xiaotong Guo, Youjun Deng, Wenjun Jiang, Heng Li, Yisheng Luo, Huachuan Zhang, Hao Wu

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Pathway-based cancer transcriptome deciphers a high-resolution intrinsic heterogeneity within bladder cancer classification by Zhan Wang, Zhaokai Zhou, Shuai Yang, Zhengrui Li, Run Shi, Ruizhi Wang, Kui Liu, Xiaojuan Tang, Qi Li

“…Materials and methods In this study, BLCA single-cell transcriptome data from GSE135337 were used to identify pure tumor cells in BLCA and explore the different intrinsic heterogeneous cell subgroups of BLCA through pathway-based cancer transcriptome classification. …”
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Unraveling breast cancer response to neoadjuvant chemotherapy through integrated genomic, transcriptomic, and circulating tumor DNA analysis by Menghao Dong, Jian Chen, Nannan Lu, Song Wang, Wenhui Wei, Ziming Wang, Jinnan Wang, Jinguo Zhang, Xinghua Han, Fufeng Wang, Qiuxiang Ou, Hua Bao, Xiaopeng Ma, Benjie Shan, Yueyin Pan

“…Comprehensive genomic, transcriptomic, and ctDNA analyses were performed to identify biomarkers associated with pathological complete response (pCR) and survival outcomes. …”
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Joint analysis of single-cell RNA sequencing and bulk transcriptome reveals the heterogeneity of the urea cycle of astrocytes in glioblastoma by Minfeng Tong, Qi Tu, Lude Wang, Huahui Chen, Xing Wan, Zhijian Xu

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Integration of single-nuclei and spatial transcriptomics to decipher tumor phenotype predictive of relapse-free survival in Wilms tumor by Ran Yang, Ran Yang, Lulu Xie, Rui Wang, Yi Li, Yifei Lu, Baihui Liu, Shuyang Dai, Shan Zheng, Shan Zheng, Kuiran Dong, Kuiran Dong, Rui Dong, Rui Dong

“…The proposed prognostic model could accurately identify patients at high risk of relapse, offering a promising method for clinical risk stratification. …”
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Transcriptome-guided engineering of a native niacin transporter in Lactiplantibacillus plantarum unveils metabolic rewiring for NMN biosynthesis by Linghui Kong, Xinyu Li, Qing He, Qingshou Yao, Lianzhong Ai, Jiayang Qin

“…Introductionβ-nicotinamide mononucleotide (NMN), a precursor of NAD+, holds promise as a functional food ingredient for mitigating age-related decline. …”
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OncoTrace‐TOO: Interpretable Machine Learning Framework for Cancer Tissue‐of‐Origin Identification Using Transcriptomic Signatures by Yang Hao, Haochun Huang, Daiyun Huang, Jianwen Ruan, Xin Liu, Jianquan Zhang

“…This framework holds promise for improving diagnostic precision and guiding personalized treatment in challenging cancer cases.…”
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Machine learning-assisted multi-dimensional transcriptomic analysis of cytoskeleton-related molecules and their relationship with prognosis in hepatocellular carcinoma by Yuxuan Li, Mingbo Cao, Xiaorui Su, Gaoyuan Yang, Yupeng Ren, Zhiwei He, Zheng Shi, Ziyi Hu, Guirong Liang, Qi Zhang, Zhicheng Yao, Meihai Deng

“…The five-gene model provides a reliable tool for risk stratification, and the irinotecan-sorafenib combination shows promise as a therapeutic strategy.…”
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Single-cell transcriptome sequencing reveals the immune microenvironment in bronchoalveolar lavage fluid of checkpoint inhibitor-related pneumonitis by Linpeng Zheng, Fenglin Lin, Dingqin Cai, Longyao Zhang, Chenrui Yin, Yaxian Qi, Lingyou Sun, Lingchen Li, Xiewan Chen, Jianbo Zhu, Jianguo Sun

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Dietary Influence on Growth, Physicochemical Stability, and Antimicrobial Mechanisms of Antimicrobial Peptides in Black Soldier Fly Larvae by Shaojuan Liu, Muhammad Raheel Tariq, Qihui Zhang, Hui Wang, Fei Wang, Chaozhong Zheng, Kuntai Li, Zhikai Zhuang, Leiyu Wang

“…Insect-derived antimicrobial peptides (AMPs) are promising candidates due to their antimicrobial activity, stability, and safety. …”
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Elucidating the dynamic tumor microenvironment through deep transcriptomic analysis and therapeutic implication of MRE11 expression patterns in hepatocellular carcinoma by Ruiqiu Chen, Chaohui Xiao, Zizheng Wang, Guineng Zeng, Shaoming Song, Gong Zhang, Lin Zhu, Penghui Yang, Rong Liu

“…Abstract Aim This study aims to explore the dynamic tumor microenvironment of hepatocellular carcinoma (HCC) through deep transcriptomic analysis and to identify key regulatory genes, among which MRE11 was further validated for its immunomodulatory and prognostic significance. …”
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Transcriptomic and metabolomic analyses reveal the spatial role of carnitine metabolism in the progression of hepatitis B virus cirrhosis to hepatocellular carcinoma by Pengxiang Gao, Qiuping Liu, Ziye Luo, Wenjun Pu, Wenjun Pu

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The systematic analysis of genes related to butyrate metabolism suggests that CDKN3 could serve as a promising therapeutic target for lung adenocarcinoma treatment by Yanchao Luan, Chao Liang, Qingsong Han, Xueqin Zhou, Na Yang, li Zhao

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Neuron-targeted caveolin-1 overexpression attenuates cognitive loss and pathological transcriptome changes in symptomatic Alzheimer’s disease models by Dongsheng Wang, Andrei V. Chernov, Ryan Lam, Hongxia Wang, Wenxi Li, Xiaojing Li, Tiffany Duong, Shanshan Wang, Brian P. Head

“…Gene therapy that augments intrinsic neuroprotective pathways offers a promising strategy to mitigate neurodegeneration and prevent further cognitive loss. …”
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Integrated Analysis of Transcriptomics and Proteomics Provides Insights into the Accumulation Mechanism of Ascorbic Acid in <i>Rosa roxburghii</i> Tratt by Pei Li, Bo Mu, Jing Liu, Wenqing Wu, Can He, Boxi Tan, Shijing Tang, Lu Yu

“…In recent years, RRT has emerged as one of the most promising new fruit crops in China, primarily because of its remarkably high levels of ascorbic acid (AsA). …”
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