Integrated transcriptomics and metabolomics analysis of flower petals color transition in different phenotype of Lonicera macranthoides by Jiayuan Zhu, Meiling Qu, Juan Zeng, Jiawei He, Jingyu Zhang, Simin Zhou, Qiaozhen Tong, Qiaozhen Tong, Qiaozhen Tong, Qiaozhen Tong, Xiangdan Liu, Xiangdan Liu, Xiangdan Liu, Xiangdan Liu, Xiangdan Liu, Ribao Zhou, Ribao Zhou, Ribao Zhou, Ribao Zhou, Ribao Zhou

“…At f1-f4 stage, the two types were green, and gradually changed from green to greenish white with development, in f5-f6, WT from white to golden yellow, but XL has little color change.MethodsCombined with transcriptomics and metabolomics analysis, the color conversion differences between XL and WT petals of Lonicera macranthoides were analyzed.ResultsSignificant differential genes were identified at f1-f4, f5 and f6 in WT and XL, 14528, 7955 and 17985, respectively. …”
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Effects of Different Modified Biochars on Growth of <i>Kosteletzkya virginica</i> and Corresponding Transcriptome Analysis by Hao Dai, Mingyun Jia, Jianhui Xue, Yuying Huang, Jinping Yu

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Integrating metabolomics and transcriptomics to analyze differences in muscle mass and flavor formation in Gayal and yellow cattle by Lin Han, Lin Han, Runqi Fu, Runqi Fu, Binlong Fu, Binlong Fu, Qian Li, Qian Li, Ye Yu, Ye Yu, Huan Gao, Huan Gao, Jiawei Zhang, Min Qi, Min Qi, Chunjia Jin, Chunjia Jin, Shengyong Mao, Jing Leng, Jing Leng

“…Through comprehensive analysis of transcriptomics and metabolomics, we detected a total of 109 markedly different metabolites (DEMs) and 1,677 differentially expressed genes (DEGs) in the pectoral muscles of the two breeds. …”
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Integrating metabolomics and transcriptomics comprehensively reveals the global metabolic differences in three species of Nitraria berries by Yanhong Li, Shengyan Wang, Qing Zhao, Qian Wang, Zufan Yang, Qiangqiang Jia

“…This study combined metabolomics and transcriptomics to explore the differences among three species of Nitraria berries. …”
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Coexpression within Integrated Mitochondrial Pathways Reveals Different Networks in Normal and Chemically Treated Transcriptomes by Cong Chen, Tae Kyung Hyun, Xiao Han, Zhihui Feng, Yuan Li, Xiaolong Liu, Jiankang Liu

“…In this study, we construct coexpression networks based on microarray datasets from different tissues and chemical treatments to explore the role of integrated MRCs in the coexpression network and the effects of different chemicals on the mitochondrial network. …”
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Viral infection of human neurons triggers strain-specific differences in host neuronal and viral transcriptomes. by Colleen A Mangold, Molly M Rathbun, Daniel W Renner, Chad V Kuny, Moriah L Szpara

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Retrospective Analysis of Transcriptomic Differences between Triple-Negative Breast Cancer (TNBC) and non-TNBC by Çağlar Berkel

“…Objective: Triple-negative breast cancer (TNBC), which has no expression of estrogen receptor, progesterone receptor and HER2, is an aggressive subgroup. Molecular differences between TNBC and non-TNBC should be better understood to develop tailored treatment strategies. …”
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Flavor, Lipid, and Transcriptomic Profiles of Chinese Wagyu Beef Cuts: Insights into Meat Quality Differences by Tianliu Zhang, Tingting Wang, Yanhao Gao, Jiashun Sheng, Hossam E. Rushdi, Wentao Li, Yu Sun, Tong Fu, Feng Lin, Tengyun Gao, Shenhe Liu

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Phenotypic and transcriptomic analyses reveal major differences between apple and pear scab nonhost resistance by Vergne, Emilie, Chevreau, Elisabeth, Ravon, Elisa, Gaillard, Sylvain, Pelletier, Sandra, Bahut, Muriel, Perchepied, Laure

“…Comparative transcriptomic analyses of apple and pear nonhost interactions with V. pyrina and V. inaequalis, respectively, revealed differences. …”
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Transcriptome Analysis of the Hippocampus in Domestic Laying Hens with Different Fear Responses to the Tonic Immobility Test by Jingyi Zhang, Min Li, Liying Pan, Ye Wang, Hui Yuan, Zhiwei Zhang, Chaochao Luo, Runxiang Zhang

“…This study investigated hippocampal histological characteristics and transcriptomic profiles in laying hens with different fear responses categorized based on TI duration. …”
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Differences in the pathological, transcriptomic, and prognostic implications of lymphoid structures between primary and metastatic cutaneous melanomas by Jin Xu, Andrew Knight, Jonathan Nguyen, Hong Wang, Walter J Storkus, Cindy Sander, John M Kirkwood, Jiqiang Yao, Xiaofei Song, Jane Messina, James J Mulé, Lilit Karapetyan, Carlos Moran-Segura, Aofei Li, Marion Joy, Sabrina Bruno, Hassan M Abushukair, Danielle Vargas De Stefano, Ayah N Al-Bzour, Caroline Layding

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Integrated metabolomics and transcriptomics reveal differences in terpenoids and the molecular basis among the roots of three Bupleurum species by Dong Wen, Hongliang Ji, Mei Rong, Yang Liu, Jiemei Jiang, Xinwei Guo, Zhihui Gao, Yanhong Xu, Jianhe Wei

“…The molecular mechanism behind these differences is still unclear. The present study used integrated metabolome and transcriptome analyses to uncover the differences in metabolites and expressed genes among the three Bupleurum species. …”
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Transcriptome Analysis of <i>Sclerotium rolfsii</i>: Unraveling Impact of Glycolytic Pathway on Substrate Utilization and Microbial Polysaccharide Production by Jia Song, Junfeng Li, Chenrui Zhen, Juan Du, Rui Zhao, Bingqian Fan, Jiayi Hou, Bingning Gao, Yu Zheng, Linna Tu, Min Wang

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Comparative analysis of the growth differences between hybrid Ningdu Yellow chickens and their parentals by Yanping Wu, Cong Huang, Yue Wei, Zhaofeng Kang, Weihong Zhang, Jinfang Xie, Ligen Xiong, Min Zhou, Guosheng Zhang, Rongjun Chen

“…Chickens from 105-day-old lines (W, G, H) were selected, and breast meat and serum were extracted for transcriptome sequencing and metabolome determination to study their growth differences. …”
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Integrated transcriptome and metabolome analysis of liver reveals unsynchronized growth mechanisms in blunt-snout bream (Megalobrama amblycephala) by Qi Liu, Xue Zou, Ming Zhao, Qianqian Guan, Zhaoyang Xuan, Lusha Liu, Zexia Gao

Subjects: “…Transcriptome…”
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Temporal transcriptomic changes in the THY-Tau22 mouse model of tauopathy display cell type- and sex-specific differences by Muhammad Ali, Pierre Garcia, Laetitia P. Lunkes, Alessia Sciortino, Melanie H. Thomas, Tony Heurtaux, Kamil Grzyb, Rashi Halder, Alexander Skupin, Luc Buée, David Blum, Manuel Buttini, Enrico Glaab

“…Single-cell transcriptomic analysis of animal models can reveal how AD pathology affects different cell types across sex and age. …”
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Genes involved in the regulation of alkaloid and flavonoid biosynthesis in different tissues of Sophora tonkinensis via transcriptomics and metabolomics by Ying Liang, Guili Wei, Ximei Liang, Meiqiong Tang, Hong He, Danfeng Tang, Yang Lin, Linxuan Li, Shuangshuang Qin, Fan Wei

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Combined transcriptomic and metabolomic analyses reveal the pharmacognostic mechanism of the metabolism of flavonoids in different parts of Polygonum capitatum by Jie Yang, Yu Zhang, Bu‐Fa Guo, Qi‐Lun Peng, Hong‐Yu Chen, Mao Ye, Wei Yi, Wei‐Jun Ding

“…In this study, combined with transcriptomic and metabonomic analysis, we identified significant DEGs related to variations in flavonoid composition among different parts of P. capitatum. …”
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Transcriptomic and metabolomic analysis provides insights into lignin biosynthesis and accumulation and differences in lodging resistance in hybrid wheat by Weibing Yang, Shengquan Zhang, Qiling Hou, Jiangang Gao, Hanxia Wang, Xianchao Chen, Xiangzheng Liao, Fengting Zhang, Changping Zhao, Zhilie Qin

“…In this study, two hybrid combinations with differences in lodging resistance were used to analyze the stem-related traits during the filling stage, and to investigate the mechanism of the difference in lodging resistance by analyzing lignin synthesis of the basal second internode (BSI). …”
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Effect of different pruning operations on the plant growth, phytohormones and transcriptome profiles of the following spring tea shoots by Lu Lu, Wenwen Luo, Yanan Zheng, Jing Jin, Ruyi Liu, Yiqing Lv, Ying Ye, Jianhui Ye

“…Pruning as an important agronomic operation plays a crucial role in the regulation of tea plant growth, development and dry tea quality. The effects of different pruning operations on the plant growth, phytohormones and transcriptome profiles of the following spring tea shoots were studied. …”
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