Transcriptome-aligned metabolic profiling by SERSome reflects biological changes following mesenchymal stem cells expansion by Xinyuan Bi, Bin Ma, Wei Liu, Wei-Qiang Gao, Jian Ye, Hanyu Rao

“…Conclusion In this study, we explore the application of SERS technique to provide robust metabolic characteristics of MSCs across different passages and donors. …”
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Comparative transcriptome analysis reveals genes associated with variation in liver copper concentration in Polish Merino sheep by Olusegun Olaniyi Adeniyi, Ewa Grochowska, Zexi Cai, Gesine Lühken

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Transcriptome and HS-SPME-GC-MS analysis of key genes and flavor components associated with beef marbling by Yanling Ding, Yanfeng Zhang, Xiaonan Zhou, Chenglong Li, Zonghua Su, Junjie Xu, Chang Qu, Yun Ma, Yuangang Shi, Xiaolong Kang

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High resolution of full-length RNA sequencing deciphers massive transcriptome complexity during zebrafish embryogenesis by Jing Bo, Wenyu Fang, Jing Wang, Shunping He, Liandong Yang

“…Conclusions Collectively, our study provides a high-resolution and significantly improved transcriptome annotation during zebrafish embryogenesis, offering a valuable resource for the zebrafish research community.…”
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A Comparative Transcriptomics Approach to Analyzing the Differences in Cold Resistance in Pomacea canaliculata between Guangdong and Hunan by Jing Liu, Zhiying Sun, Zhi Wang, Yuande Peng

“…In this study, high-throughput sequencing (RNA-seq) was used to perform comparative transcriptome analysis on the muscular tissue (G_M) of snails in Guangdong and Hunan. …”
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Unraveling Ginsenoside Rg1’s osteoprotective pathways in zebrafish models of glucocorticoid induced osteoporosis via transcriptomics by Xinyu Fan, Ying Zhang, Xinyu Li, Junhui Ding, Jiaolong Huang, Kai Lian, Peng Duan, Chunhui Hu, Junchang Xu

“…Behavioural analysis revealed that Rg1 alleviated PN-induced hypoactivity, resulting in enhanced motion speed. Furthermore, transcriptome analysis identified 383 genes reversed by Rg1 treatment, with significant enrichment in skeletal system development. …”
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RNA-seq analysis reveals transcriptome changes in livers from Efcab4b knockout mice by Chew W. Cheng, Lucia Pedicini, Cintli Morales Alcala, Fenia Deligianni, Jessica Smith, Ryan D. Murray, Harriet J. Todd, Niamh Forde, Lynn McKeown

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Transcriptome atlases of rat brain regions and their adaptation to diabetes resolution following gastrectomy in the Goto-Kakizaki rat by François Brial, Aurélie Le Lay, Claude Rouch, Edouard Henrion, Mathieu Bourgey, Guillaume Bourque, Mark Lathrop, Christophe Magnan, Dominique Gauguier

“…To generate a detailed atlas of the brain transcriptome in the context of diabetes, we carried out RNA sequencing in hypothalamus, hippocampus, brainstem and striatum of the Goto-Kakizaki (GK) rat model of spontaneous type 2 diabetes, which was applied to identify gene transcription adaptation to improved glycemic control following vertical sleeve gastrectomy (VSG) in the GK. …”
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Comprehensive transcriptomic profiling reveals molecular characteristics and biomarkers associated with risk stratification in papillary thyroid carcinoma by Congcong Yan, Chen Zheng, Jiaxing Luo, Xue Wu, Xinyu Meng, Chaoyue Lv, Shurong Shen, Meng Zhou, Ouchen Wang

“…In this study, we performed whole transcriptomic sequencing on 113 PTC cases, including 70 high‐risk and 43 low‐risk Chinese patients. …”
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A combination of transcriptomics and epigenomics identifies genes and regulatory elements involved in embryonic tail development in the mouse by Yong-Xuan Chen, Xiu-Ping Zhang, David N. Cooper, Dong-Dong Wu, Wan-Dong Bao

“…Results Here, utilizing high-throughput sequencing schemes pioneered in mice, we profiled the dynamic transcriptome and CREs marked by active histone modifications during embryonic tail morphogenesis. …”
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Transcriptomic signatures of subcutaneous adipose tissue in patients with diabetes and coronary artery disease: a pilot study by Ilias P. Doulamis, Bernard Pan, Aspasia Tzani, Jorge Plutzky, G. William Wong, Ahmet Kilic, Risa M. Wolf

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Integrative Analysis of the Methylome, Transcriptome, and Proteome Reveals a New Mechanism of Rapeseed Under Freezing Stress by Guoqiang Zheng, Zigang Liu, Jinxiong Wang, Jiaping Wei, Xiaoyun Dong, Hui Li, Ying Wang, Haiyang Tian, Zefeng Wu, Junmei Cui

“…The findings provide molecular insights into rapeseed freezing tolerance, which can be applied in breeding programs to enhance cold resistance in oilseed crops.…”
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Transcriptomics reveals substance biosynthesis and transport on membranes of Listeria monocytogenes affected by antimicrobial lipopeptide brevilaterin B by Yangliu Liu, Yawei Ning, Zhou Chen, Panpan Han, Tongxin Zhi, Siting Li, Aijin Ma, Yingmin Jia

“…In conclusion, brevilaterin B affects gene expression related to biosynthesis, transport and stress response pathways on the membrane of L. monocytogenes. The present work provides the first transcriptomic assessment of the antibacterial mechanism of lipopeptide brevilaterin B at the gene level.…”
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Multi-omics insights into functional alterations of the liver in growth-retarded offspring: transcriptomic, epigenetic and metabolomic profiles by Qun Lan, Sui Liufu, Xin Xu, Bohe Chen, Wenwu Chen, Kaiming Wang, Caihong Liu, Lanlin Xiao, Xiaolin Liu, Lei Yi, Jingwen Liu, Qiuchun Deng, Haiming Ma, Meng Kang

“…Our findings also provide epigenetic insights into the molecular mechanisms underlying liver-mediated modulation of growth and development in offspring.…”
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Transcriptome Analysis of Resistant and Susceptible Sorghum Lines to the Sorghum Aphid (<i>Melanaphis sacchari</i> (Zehntner)) by Minghui Guan, Junli Du, Jieqin Li, Tonghan Wang, Lu Sun, Yongfei Wang, Degong Wu

“…These findings demonstrate that HX133 employs multi-layered metabolic regulation, particularly dhurrin accumulation, to counteract aphid infestation, whereas susceptible cultivars exhibit limited defense induction. This work provides molecular targets for enhancing aphid resistance in sorghum breeding programs.…”
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Development of Microsatellite Markers from Transcriptome of <i>Eriocheir sinensis</i> and Their Application in Multiplex PCR Panels by Qizhen Xiao, Meijun Tang, Qingqing Li, Pengsheng Dong, Yongxu Cheng, Deng Deng, Xugan Wu

“…Conclusions: This method significantly enhances the efficiency of microsatellite marker analysis, which provides a convenient and cost-effective method for breeding programs and family management of <i>E. sinensis</i>.…”
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Combined Analysis of Transcriptome and Metabolome Reveals the Heat Stress Resistance of Dongxiang Wild Rice at Seedling Stage by Peng Zhang, Haipeng Yu, Zengying Huang, Pengfei Yang, Huijuan Li, Guanrong Huang, Lu Tang, Zhengzheng Zhong, Guocheng Hu, Guoping Yu, Hanhua Tong

“…The results of the transcriptome and metabolome analyses were verified through qRT-PCR and ultra-performance liquid chromatography–tandem mass spectrometry (UPLC-MS/MS) analysis. …”
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Revealing the Molecular Regulatory Mechanism of Flavonoid Accumulation in Tender Leaves of Tea Plants by Transcriptomic and Metabolomic Analyses by Ruiyang Shan, Yongheng Zhang, Xiaomei You, Xiangrui Kong, Yazhen Zhang, Xinlei Li, Lu Wang, Xinchao Wang, Changsong Chen

“…In this study, an integrated analysis of metabolomics and transcriptomics was conducted to determine the regulatory networks regulating astringency and color-related flavonoids in tea plant cultivars with diverse leaf colors. …”
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Integrated transcriptome and proteome analysis identifies keratins as key regulators of corneal scarring in a murine model by Tianyi Zhou, Yuchen Cai, Fei Fang, Xueyao Cai, Yao Fu

“…To elucidate the mechanism underlying corneal scarring, a murine model of corneal scarring was subjected to transcriptomic and proteomic analyses to explore changes in mRNA and protein levels during scar formation. …”
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Single-cell transcriptome profiling reveals dynamic cell populations and immune infiltration in cerebral cavernous malformation by Zhiguang Han, Chengxu Lei, Zhenyu Zhou, Yutong Liu, Yuanli Zhao, Shihao He

“…Cell-cell communication analysis revealed an increase in both the types and strength of communication between cells in the CCM lesion tissues.ConclusionThis study provides the single-cell transcriptomic analysis of CCM lesions, revealing increased monocytes, neutrophils, and NK cells, along with dysregulated gene expression and signaling pathways. …”
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