Immunogenicity and Protective Efficacy of an mRNA Vaccine Targeting HSV-2 UL41 in Mice by Tangwei Mou, Yu Zhao, Jie Jia, Kai-Cheng Gao, Shao-You Li, Yi-Qun Kuang

“…Dendritic cell (DC) activation in spleen tissue was analyzed via transcriptome sequencing. Results: A comparison of the clinical, immunological, and pathological characteristics of the groups that were immunized with the UL41 mRNA vaccine and then infected with HSV2, along with the control groups, revealed that the vaccine elicited both cellular and humoral immunity, inhibited viral replication, suppressed the inflammatory response, and provided protective effects against the virus in vivo. …”
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Nutrigenomic and Nutritional Analyses Reveal the Effects of Pelleted Feeds on Asian Seabass (Lates calcarifer). by Si Yan Ngoh, Daniel Tan, Xueyan Shen, Purushothaman Kathiresan, Junhui Jiang, Woei Chang Liew, Natascha May Thevasagayam, Hsiao Yuen Kwan, Jolly M Saju, Sridatta R S Prakki, Chin Heng Goh, Hong Ching Wong, Tai Teck Chan, Miklós Mézes, László Orbán

“…As nutrition-related expenses constitute the majority of the costs for aquaculture farms, it is essential for them to use feeds that provide an ideal combination of nutrients for the species of choice. …”
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The potent neuroepithelium-promoting activity of Otx2 during gastrulation, as demonstrated by its exogenous epiblast-wide expression in chicken embryos by Naoya Takami, Kagayaki Kato, Koya Yoshihi, Akihito Kawamura, Hideaki Iida, Hisato Kondoh, Hisato Kondoh

“…The developmental events that occurred after filling these gaps with exogenous Otx2 provided information about the roles of Otx2 during gastrulation. …”
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Proteomic landscape of Alzheimer’s disease: emerging technologies, advances and insights (2021 – 2025) by Jay M. Yarbro, Him K. Shrestha, Zhen Wang, Xue Zhang, Masihuz Zaman, Mengqi Chu, Xusheng Wang, Gang Yu, Junmin Peng

“…Discrepancies between proteome and transcriptome suggest altered protein turnover in AD. …”
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Genome-wide identification of castor bean class III peroxidase genes and analysis of expression patterns under abiotic stresses by Jiayu Li, Mubo Fan, Shuqi Yang, Hongyan Huo, Weiquan Fan, Shiyou Lü, Jixing Zhang

“…Conclusions These findings provide new insights into the composition, evolution, and function of the castor RcPRX gene family and provide a basis for subsequent exploration of gene function.…”
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Identification of potential drug targets for achalasia from genetic insights: a Mendelian randomization study by Kai Xiong, Hao Fang, Caihong Song, Dilihumaer Tuerxun, Peng Zhang

“…Methods In this study, we utilized a large number of drug-related databases to perform Mendelian randomization (MR) analysis and co-localization analysis of the data from the genome-wide association study (GWAS) of blood expression quantitative trait loci (eQTL) and AC, so as to identify genes that are highly associated with AC, and screened them in combination with differential genes analyzed by transcriptome sequencing data. In addition, phenotype-wide studies, enrichment analysis, protein network construction, drug prediction, and molecular docking were performed to provide valuable guidance for the development of more effective and targeted therapeutic drugs. …”
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WGCNA analysis and identification of key genes in tobacco in response to different nitrogen levels by Xinwang Zhang, Shouhui Pan, Dong Chen, Yuqi Pan, Deepak Bhanot, Tianju Xu, Sachin Gupta, Jinling Zhang, Yin Huang

“…To decipher molecular responses to N gradients, we integrated transcriptomics and weighted gene co-expression network analysis (WGCNA) on leaves from four N treatments: 0 (inherent soil fertility), 60 (low), 105 (standard), and 150 kg/hm2 (high). …”
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Cis-eQTL-based trans-ethnic meta-analysis reveals novel genes associated with breast cancer risk. by Joshua D Hoffman, Rebecca E Graff, Nima C Emami, Caroline G Tai, Michael N Passarelli, Donglei Hu, Scott Huntsman, Dexter Hadley, Lancelote Leong, Arunabha Majumdar, Noah Zaitlen, Elad Ziv, John S Witte

“…The National Cancer Institute's "Up for a Challenge" (U4C) competition provided an opportunity to further elucidate the genetic basis of the disease. …”
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MSI expresso: a software for determining MSI status and detecting MSI-related transcription events from RNA sequencing data by Emmanuel Tubacher, Alexandre How-Kit, Mourad Sahbatou, Alex Duval, Victor Renault, Jean-François Deleuze, Jean-François Deleuze

“…While most tools available only infer the MSI status, none of them use RNA-sequencing (RNA-seq) data and provide per microsatellite expression and genotype results. …”
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The role of m6A methylation genes in predicting poor prognosis in sepsis: identifying key biomarkers and therapeutic targets by Shaokang Wang, Siye Shen, Na Cheng, Wenjun Zhou, Weili Yu, Daiyun Liang, Lijun Cao, Pinjie Zhang, Zhonghua Lu, Yun Sun

“…First, GSE54514 transcriptome data were extracted from the GEO database 31 patients with sepsis related death and 72 sepsis survivors. …”
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Potential Targets Related to Skin Aging: Based on eQTL and GWAS Datasets by Shi H, Cao X

“…Hanping Shi,1,2 Xianwei Cao1– 3 1School of Public Health, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330006, People’s Republic of China; 2Jiangxi Provincial Key Laboratory of Disease Prevention and Public Health, Nanchang University, Nanchang, Jiangxi, 330006, People’s Republic of China; 3Department of Dermatology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, People’s Republic of ChinaCorrespondence: Xianwei Cao, Department of Dermatology, The First Affiliated Hospital of Nanchang University, No. 17 Yongwai Street, Donghu District, Nanchang, Jiangxi, 330006, People’s Republic of China, Tel +86-0791-88692748, Email ndyfyygk@163.comBackground: The aging of skin has important impact on various systems, and certain skin aging (SG) markers can not only help with early diagnosis, but also provide new ideas for pathophysiological research and treatment strategies.Objective: To identify target genes related to SG through bioinformatics technology and provide ideas for skin anti-aging.Methods: Differential expression genes (DEGs) related to SG were screened through transcriptome information from GEO datasets (GSE85358 and GSE670988). …”
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Identification and expression analysis of the FRK gene family in Oilseed (Brassica napus L.) by Rui Yang, Jindong Chen, Ying Huang, Lingli Xie, Jinsong Xu, Le Xu, Xuekun Zhang, Benbo Xu

“…These findings provide a foundation for further functional characterization of BnFRK genes and their application in improving stress resilience in rapeseed.…”
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Polyethylene terephthalate (PET) microplastics induced male reproductive toxicity in mice by activating the p38-MAPK pathway by Xin Zhang, Tianyi Ma, Jingran Sun, Yanjun Fang, Yonghui Wang, Xiaoli Li, Zunquan Zhao, Nan Su, Mingzhu Liu, Jialei Bai, Jianqing Liu, Jin Wu

“…Immunohistochemical results showed that spermatogenic cell proliferation was inhibited, and apoptosis was significantly increased. Transcriptome sequencing showed that PET-MP exposure activated the MAPK pathway in testicular tissues. …”
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A Multi-omics Approach Reveals the Effects of Bio- and Chemical- Pesticides on Rice Yield and Quality under Disease Stress by Chongchong Lu, Yingzhe Yue, Baoyou Liu, Yanke Jiang, Zimeng Li, Muhammad Zunair Latif, Xiaoying Zhang, Dayin Chen, Lili Dai, Lingguang Kong, Qian Du, Ziyi Yin, Yang Li, Hansong Dong, Xinhua Ding

“…This study demonstrates that plant immune inducers are more effective than conventional pesticides in restoring DR yield and quality, which provides novel insights into the innovation of green biopesticides in sustainable crop production.…”
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Precise metabolic dependencies of cancer through deep learning and validations by Tao Wu, Xiangyu Zhao, Yu Zhang, Die Qiu, Kaixuan Diao, Dongliang Xu, Weiliang Wang, Xiaopeng Xiong, Xinxiang Li, Xue-Song Liu

“…This study systematically uncovers the metabolic dependency of cancer cells and provides metabolic targets for cancers driven by genetic alterations that are originally undruggable on their own.…”
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Synthetic lethality between VPS4A and VPS4B triggers an inflammatory response in colorectal cancer by Ewelina Szymańska, Paulina Nowak, Krzysztof Kolmus, Magdalena Cybulska, Krzysztof Goryca, Edyta Derezińska‐Wołek, Anna Szumera‐Ciećkiewicz, Marta Brewińska‐Olchowik, Aleksandra Grochowska, Katarzyna Piwocka, Monika Prochorec‐Sobieszek, Michał Mikula, Marta Miączyńska

“…Our results identify a pair of novel druggable targets for personalized oncology and provide a rationale to develop VPS4 inhibitors for precision therapy of VPS4B‐deficient cancers.…”
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Improving the bacillomycin L production in Bacillus amyloliquefaciens by atmospheric and room-temperature plasma combined with Box-Behnken design by Andong Zhang, Bin Yang, Yudong Ma, Ruolin Li, Zhiwei Zhou, Chen Luo, Yiyang Zhang, Yuhan Zhang, Ya Dan, Qun Sun

“…Bacillomycin L exhibited broad inhibitory activity against 17 fungi and nine bacterial species. This investigation provides a foundation for bacillomycin L production and application.…”
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Decoding Peroxidase Gene Function in Heat Stress Adaptation of <i>Tetranychus urticae</i>: Unraveling Molecular Mechanisms of Short-Term Thermal Tolerance by Yaonian Chen, Yuan Liu, Rangjun Wang, Pengcheng Nie, Bin Wei, Rasha S. Abdel-Fattah, Suqin Shang, Youssef Dewer

“…To investigate the molecular mechanisms underlying this heat tolerance, using both transcriptome and whole-genome data, we identified six distinct <i>POD</i> genes in <i>T. urticae</i> and characterized their physicochemical properties and structural features. …”
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Organophosphate flame retardant triphenyl phosphate (TPhP) induced colonic fibrosis by bringing about epithelial-mesenchymal transition by Chunyan Peng, Mo Wang, Chang Zheng, Xiaoqi Zhang, Yabing Chen, Lei Wang

“…Collectively, these findings demonstrated that TPhP induced colonic fibrosis in mice by activating EMT, and this work may provide new perspectives in exploring etiology of intestinal fibrosis and developing relevant treatment strategies.…”
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Applications of Next-Generation Sequencing Technologies and Statistical Tools in Identifying Pathways and Biomarkers for Heat Tolerance in Livestock by Gajendirane Kalaignazhal, Veerasamy Sejian, Silpa Mullakkalparambil Velayudhan, Chinmoy Mishra, Ebenezer Binuni Rebez, Surinder Singh Chauhan, Kristy DiGiacomo, Nicola Lacetera, Frank Rowland Dunshea

“…Adopting next-generation biotechnological and statistical tools like whole transcriptome analysis, whole metagenome sequencing, bisulphite sequencing, genome-wide association studies (GWAS), and selection signatures provides an opportunity to achieve this goal. …”
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