Cone Snail Broad-Transcriptomics Elucidate the Evolutionary Diversification and Anti-Microbial Potential of Conopeptides by José Morim, Yihe Zhao, Lei Huang, Agostinho Antunes

“…We aim to enlighten the understanding of the remarkable venom variability in cone snails while pushing to deliver novel peptides for biomedical applications through a broad transcriptomics approach. …”
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Integration of Transcriptomic and Single-Cell Data to Uncover Senescence- and Ferroptosis-Associated Biomarkers in Sepsis by Xiangqian Zhang, Yiran Zhou, Hang Li, Mengru Chen, Fang Peng, Ning Li

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Transcriptome and Metabolome Analyses of the Salt Stress Response Mechanism in <i>Lonicera caerulea</i> by Dandan Zang, Yadong Duan, Hengtian Zhao, Ning Wang, Yiming Zhang, Yanmin Wang, Huizi Liu

“…Among these, 4081, 4042, and 4403 differentially expressed genes (DEGs) were identified in 12 transcriptomes, while 776, 832, and 793 differentially accumulated metabolites (DAMs) were detected in 12 metabolomes. …”
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Molecular mechanisms and comparative transcriptomics of diapause in two corn rootworm species (Diabrotica spp.) by Melise C. Lecheta, Chad Nielson, B. Wade French, Emily A.W. Nadeau, Nicholas M. Teets

“…During post-diapause development, there is a dramatic activation cellular respiration, which may be controlled by insulin signaling. Comparative transcriptomic analyses between WCR and NCR indicated that while many gene expression changes were conserved across species, overall gene expression profiles were distinct, indicating that many transcriptional changes are species-specific, despite the close phylogenetic relationship and phenotypic similarity between these species. …”
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Transcriptomic Modification in the Cerebral Cortex following Noninvasive Brain Stimulation: RNA-Sequencing Approach by Ben Holmes, Seung Ho Jung, Jing Lu, Jessica A. Wagner, Liudmilla Rubbi, Matteo Pellegrini, Ryan Jankord

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Transcriptomic analysis reveals the mechanism underlying salinity-induced morphological changes in Skeletonema subsalsum by Jingwen Hu, Ya Zheng, Shuang Yang, Lin Yang, Lin Yang, Qingmin You, Quanxi Wang

“…Through morphological and physiological methods, we found that salinity increased the cell diameter, protrusion lengths, distance between adjacent cells (DBCs), and nanopore size, while reducing cell height and silicification degree. …”
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Transcriptomic and spatial GABAergic neuron subtypes in zona incerta mediate distinct innate behaviors by Mengyue Zhu, Jieqiao Peng, Mi Wang, Shan Lin, Huiying Zhang, Yu Zhou, Xinyue Dai, Huiying Zhao, Yan-qin Yu, Li Shen, Xiao-Ming Li, Jiadong Chen

“…Abstract Understanding the anatomical connection and behaviors of transcriptomic neuron subtypes is critical to delineating cell type-specific functions in the brain. …”
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Physiological insights into the responses of tea plants to aluminum through an integrated transcriptomic and metabolomic analysis by Xinwan Zhang, Shijie Luo, Xiali Ye, Lin Liu, Xinxin Jia, Deyuan Jiang, Weiwei Wen

“…This study explored the responses of tea plants to varying Al concentrations at both metabolomic and transcriptomic levels. Compared to 0 mM Al treatment, low Al concentrations (0.4 mM) enhanced root vitality by 8.91%, while higher Al concentrations (10 and 100 mM) reduced root vigor by 19.31% and 76.81%, respectively. …”
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Integrating single-cell with transcriptome-proteome Mendelian randomization reveals colorectal cancer targets by Song Wang, Xin Yao, Shenshen Li, Shanshan Wang, Xuyu Huang, Jing Zhou, Xiao Li, Jieying Wen, Weixuan Lan, Yunsi Huang, Hao Li, Yunlong Sun, Xiaoqian Zhao, Qiaoling Chen, Xuedong Han, Ziming Zhu, Xinyue Zhang, Tao Zhang

“…A multi-omics framework combining single-cell transcriptomics, transcriptomics, proteomics, and MR is urgently needed to resolve cell-type-specific drivers of colorectal cancer pathogenesis. …”
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Transcriptomic profiling reveals response mechanisms of Lactuca indica seedlings to seawater irrigation stress by Dingding Cao, Lirong Xiang, Ziling Li, Neng Wei, Neng Wei, Qingfeng Wang, Qingfeng Wang

“…Tissue-specific -plant transcriptome analysis identified key metabolic pathways and regulatory genes in roots, stems, and leaves.ResultsDifferential gene expression analysis showed tissue-specific enrichment patterns: leaves predominantly enriched light-harvesting complex (LHC) genes in photosynthesis pathways; stems exhibited upregulation in cutin, suberin, and wax biosynthesis pathways; while roots showed activation of nitrogen metabolism pathways.DiscussionBased on the data from transcriptomics, we infered that the key salt-tolerant candidate genes include: (1) leaf-specific LHC genes enhancing photosynthetic efficiency; (2) stem-expressed wax biosynthesis gene aldehyde decarbonylase CER1, and cytochrome P450 family members fatty acid omega-hydroxylase CYP86A4S and cytochrome P450 family 77 subfamily A (CYP77A); and (3) root-specific nitrogen metabolism regulators (nitrate reductase (NR), nitrate/nitrite transporter 2 (NRT2), and nitrite reductase (NirA). …”
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Transcriptome Analysis of Apple Leaves with Apple Necrotic Mosaic Virus-Associated Mosaic Symptoms by Dehang Gao, Fei Xing, Qin Yan, Zhixiang Zhang, Binhui Zhan, Meiguang Lu, Yunlong Ma, Hongqing Wang, Shifang Li, Jipeng Xie

“…In this study, we performed transcriptome analysis to investigate apple gene responses to AMD. …”
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Combined Transcriptomic and Mendelian Randomisation Explores the Diagnostic Value of Ubiquitination-Related Genes in Sepsis by Bai X, Liu R, Tang Y, Yang L, Niu Z, Hu Y, Zhang L, Chen M

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Transcriptomic and proteomic characterization of cell and protein biomarkers of checkpoint inhibitor-induced liver injury by Changhua Ji, Steven Kumpf, Jessie Qian, Joel D. Federspiel, Mark Sheehan, Darien Capunitan, Edmond Atallah, Stuart Astbury, Seda Arat, Elias Oziolor, Mireia Fernandez Ocana, Shashi K. Ramaiah, Jane Grove, Guruprasad P. Aithal, Thomas A. Lanz

“…Single-cell RNA sequencing revealed that these changes were primarily found in select T cell subtypes (including CD8 + effector memory cells), while CD16 + monocytes exhibited enrichment in metabolic pathways. …”
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Cross-tissue transcriptome-wide analysis reveals novel insights into thyroid cancer etiology by Yue Zhu, Yu Luo, Yuye Zhang, Yixuan Wang, Zhangqi Gu, Jinyan Liu, Ancheng Qin, Weifeng Qian

“…Methods We performed a transcriptome-wide association study (TWAS) to identify the susceptibility genes for TC. …”
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Deciphering Nitrogen Stress Responses in Maize Rhizospheres: Comparative Transcriptomics of Monocropping and Intercropping Systems by Bing Zhang, Jamal Nasar, Siqi Dong, Guozhong Feng, Xue Zhou, Qiang Gao

“…Therefore, through transcriptomic analysis, this study systematically investigated the gene expression and molecular responses of maize’s rhizosphere under two N supply regimes to N stress. …”
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Modified Methylation Following Electrostimulation in a Standardized Setting—Complementing a Transcriptomic Analysis by Biagio Di Pietro, Simona Villata, Anna Plaksienko, Tiziana Guarnieri, Simeone Dal Monego, Margherita Degasperi, Pietro Di Lena, Danilo Licastro, Claudia Angelini, Francesca Frascella, Lucia Napione, Christine Nardini

“…Research has also highlighted ES as a regulator of DNA demethylation, which plays a critical role in nerve regeneration and cellular repair mechanisms. While the impact of ES on epigenetic processes is recognized, its broader effects on cellular functions, particularly in inflammation and wound healing, are less understood. …”
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Proteomic and transcriptomic analysis of the action mechanism of spermidine in mitigating the aging of Allium mongolicum seeds by Yan Men, Pengchao Wei, Xiumei Huang, Lu Yang, Zhenyu Cao, Jianting Wei, Xiaoyan Zhang, Fenglan Zhang, Zhongren Yang

“…Allium mongolicum seeds stored for different years were used to obtain germination indicators, physiological indicators, and proteomic and transcriptomic sequencing in seeds treated with spermidine (Spd). …”
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Genome-wide association and transcriptomic analysis and the identification of growth-related genes in Macrobrachium nipponense by Zijian Gao, Wenyi Zhang, Sufei Jiang, Hui Qiao, Yiwei Xiong, Shubo Jin, Hongtuo Fu

“…The ACTA1 gene, also from the actin family, was up-regulated in fast-growing males and females, while the ACT57B was down-regulated. In addition, the growth associated SNP S7_35313774 was located in the UCH2 gene; transcriptomics analysis revealed that the UCH2 gene was up-regulated in female individuals exhibiting high growth rates. …”
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Whole transcriptome sequencing to uncover CircRNA expression patterns linked to schizophrenia pathogenesis by Jianxiong Long, Bing Shen, Fangping Liao, Hong Cai, Jiale Li, Rumei Lu, Zhicheng Zhong, Zukang Gong, Jianfeng Xu

“…While circular RNAs (circRNAs) have been reported to be involved in the onset and development of many diseases, their association with SCZ remains unclear. …”
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Comparative transcriptomic analysis of goose astrovirus genotype 1 and 2 in goose embryonic fibroblasts by Jiashuang Ji, Longhai Ji, Xiaofeng Dong, Wei Li, Wuchao Zhang, Xiangqin Wang, Junli Wang, Baishi Lei, Zhenhua Wang, Wanzhe Yuan, Kuan Zhao

“…The transcriptomic analysis results significantly enhance our comprehension of the pathogenic mechanisms of GAstV.…”
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