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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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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Ginsenoside Rb1 and berberine synergistically protect against type 2 diabetes mellitus via GDF15/HAMP pathway throughout the liver lobules: Insights from spatial transcriptomics an... by Rongfang Guo, Shuying Zhang, Anyao Li, Ping Zhang, Xin Peng, Xiaoyan Lu, Xiaohui Fan

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Transcriptome Analysis Reveals the Pivotal Genes and Regulation Pathways Under Cold Stress and Identifies <i>SbERF027</i>, an AP2/ERF Gene That Confers Cold Tolerance in Sorghum by Qijin Lou, Peifeng Wang, Miao Yu, Zhigan Xie, Chen Xu, Shengyu Chen, Hao Yu, Rui Zhang, Guangling Tian, Di Hao, Xianshi Ke, Shuai Yu, Jiajia Zhou, Yao Zhao, Chao Ye, Jiyuan Guo, Haiyan Zhang, Mo Chen, Xingbei Liu

“…In addition, the cold tolerance of <i>SbERF027</i>-overexpressing lines was higher than that of wild-type plants; while the cold tolerance of lines with <i>SbERF027</i> silenced via virus-induced gene silencing (VIGS) was significantly lower than that of wild-type plants. …”
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A comparison of anatomic and cellular transcriptome structures across 40 human brain diseases. by Yashar Zeighami, Trygve E Bakken, Thomas Nickl-Jockschat, Zeru Peterson, Anil G Jegga, Jeremy A Miller, Jay Schulkin, Alan C Evans, Ed S Lein, Michael Hawrylycz

“…Through mapping of homologous cell types between mouse and human, most disease risk genes are found to act in common cell types, while having species-specific expression in those types and preserving similar phenotypic classification within species. …”
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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

“…Proteomic analysis of plasma extracellular vesicles showed enrichment in liver-associated proteins among differentially expressed proteins. …”
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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

“…Abstract Background No objective diagnostic indicators have been identified for schizophrenia (SCZ) because of the complexity of its pathogenesis. Whole-transcriptome analysis may help identify early diagnostic markers. …”
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Transcriptome reveals the landscape of alveolar macrophages exposed to combined hypoxia with cigarette smoke extract by Qing Liu, Yushi Zhang, Ruirui Duan, Wanheng Li, Xuan Hou, Yiling Chen, Baicun Li, Ting Yang

“…Abstract Background Chronic obstructive pulmonary disease (COPD) is a complex and heterogeneous chronic inflammatory disease that is one of the leading causes of age-standardised deaths globally. While studies have investigated altitude's effects on COPD, none have explored alveolar macrophage homeostatic alterations during its pathogenesis at high altitudes. …”
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Transcriptomic profile induced by calcitriol in CaSki human cervical cancer cell line. by Euclides Avila, Luis David Hernández-Monterde, Alberto Cedro-Tanda, Tomas Misael Lizardi-Aguilera, David Barrera, Francisco Vladimir Villegas-Rodriguez, Janice García-Quiroz, Lorenza Díaz, Fernando Larrea

“…Calcitriol decreased EPHA2 and RARA expression while inducing KLK6 and CYP4F3 expression in CaSki cells, as validated by qPCR and Western blot. …”
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Differential regulation of apoptosis-related genes during long-term culture and differentiation of canine adipose-derived stem cells - a functional bioinformatical analysis by Maurycy Jankowski, Maurycy Jankowski, Maurycy Jankowski, Katarzyna Stefańska, Michał Suchodolski, Claudia Dompe, Claudia Dompe, Grzegorz Wąsiatycz, Bartosz Kempisty, Bartosz Kempisty, Bartosz Kempisty, Bartosz Kempisty, Michał Nowicki, Magdalena Roszak

“…RNA sequencing (RNA-seq) and bioinformatical analysis were performed to obtain comprehensive transcriptomic data. …”
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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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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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Global transcriptome modulation by xenobiotics: the role of alternative splicing in adaptive responses to chemical exposures by Andrew J. Annalora, Jacki L. Coburn, Antony Jozic, Patrick L. Iversen, Craig B. Marcus

“…Results Endpoint PCR revealed a Cyp2b2v to wild-type Cyp2b2 splicing ratio near 1:1 (100%) under most conditions, while RNA-seq showed a stable baseline closer to 40%. …”
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PM2.5 Induces Cell-Specific Transcriptomic Alterations in the Lungs of Juvenile Mice by Gui B, Li Y, Li K, Wang J, Fan W, Li L, Wu Q, Chen H

“…Among non-immune cells, ciliated cells activated interferon signaling, while adventitial fibroblasts showed increased ribosomal protein translation and calcium ion channel regulation. …”
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Differential transcriptome study on the damage of testicular tissues caused by chronic infection of T. gondii in mice by Haoxin Li, Hao Yuan, Zi-Peng Yang, Yining Song, Jun-Jie Wang, Qingyuan Wen, Yu-Xiang Zheng, Xiu-Xiang Zhang, Miao Yu, Zi-Guo Yuan

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Multi-Omics Analysis Provides New Insights into the Interplay Between Gut Microbiota, Fatty Acid Metabolism, and Immune Response in Cultured and Wild <i>Coilia nasus</i> from the Y... by Chang Yang, Kai Liu, Yanmin Deng, Qianhui Wang, Shiqian Cao, Qunlan Zhou

“…However, the shear force, water-holding capacity, and total n-6 PUFA content were lower in wild <i>C. nasus</i>. Transcriptome analysis revealed distinct gene expression patterns: wild <i>C. nasus</i> upregulated immune-related genes, while cultured <i>C. nasus</i> downregulated genes related to fatty acid metabolism. …”
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Genomic and Transcriptomic Profiles in Smokers and Never-Smokers Lung Squamous Cell Carcinoma Patients by Canale M, Virga A, Angeli D, Fonzi E, Gnetti L, Dubini A, Tedaldi G, Urbini M, Bocchialini G, Petracci E, Verlicchi A, Cravero P, Citarella F, Bennati C, Andrikou K, Delmonte A, Crinò L, Carbognani P, Ulivi P, Ampollini L

“…Gene set enrichment analysis highlighted that tumors from never-smokers are characterized by dysregulation in cell membrane potential and ion homeostasis across cell membrane pathways.Conclusion: Genomic and transcriptomic profiles deeply differentiate SCC occurring in never-smokers with respect to SCC in smoker patients. …”
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TMF Attenuates Cognitive Impairment and Neuroinflammation by Inhibiting the MAPK/NF-κB Pathway in Alzheimer’s Disease: A Multi-Omics Analysis by Yonglin Liu, Xi Xu, Xiaoming Wu, Guodong Yang, Jiaxin Luo, Xinli Liang, Jie Chen, Yiguang Li

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Integrated Multi-Omics Analysis of the Developmental Stages of <i>Antheraea pernyi</i> Pupae: Dynamic Changes in Metabolite Profiles and Gene Expression by Shuhui Ma, Yongxin Sun, Yajie Li, Xuejun Li, Zhixin Wen, Rui Mi, Nan Meng, Xingfan Du

“…Transcriptomic analysis identified 7230 differentially expressed genes (DEGs), with 366, 1705, and 5159 significantly differentially expressed genes in the T1, T3, and T5 comparison groups, respectively. …”
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