Microscopical Observation and Transcriptome Analysis Reveal the Effects of High‐Altitude Ecosystem in the Qualities of Different Genetic Varieties Brassica napus Resources by Zongji Zhang, Xionghua Li, Ri Ming, Yingying Lu, Qinwen Lin, Yafei Yang, Jialin Liao, Yunjuan Li, Lingli Mao, Yang Huang, Li Zhong, Yu Liang

“…Furthermore, histology microscopical observation showed cell size increased and cell density decreased in the shoot apical meristem (SAM) after bolting and at high altitude, compared to those cells before bolting and at low altitude. Transcriptome analysis showed that sucrose phosphate synthase (SPS), sucrose synthase (SUS), fructose‐1,6‐bisphosphate aldolase (FBA1), and alpha‐galactosidase (AGAL2) genes were significantly up‐regulated during the after‐bolting period at different altitude. …”
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A comprehensive study on the longissius dorsi muscle of Ashdan yaks under different feeding regimes based on transcriptomic and metabolomic analyses by Tong Wang, Xiaoming Ma, Qingbo Zheng, Chaofan Ma, Zhilong Zhang, Heping Pan, Xian Guo, Xiaoyun Wu, Min Chu, Chunnian Liang, Ping Yan

“…Yak is an important dominant livestock species at high altitude, and the growth performance of yak has obvious differences under different feeding methods. This experiment was conducted to compare the effects of different feeding practices on growth performance and meat quality of yaks through combined transcriptomic and metabolomic analyses. …”
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Genetic basis of body color differences between local varieties of Cyprinus carpio: Insights from BSA-Seq and transcriptome analysis by Zhe Li, Luting Wen, Yong Lin, Zhong Chen, Junqi Qin, Xiaoqing Wang, Xuesong Du

“…In this study, we investigated the genetic basis underlying body color differences between two closely related carp varieties, Cyprinus carpio var. …”
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Transcriptome Analysis of Effect of Cordyceps militaris Aqueous Extract in Human Gastric Cancer Cell BGC-823 on Different RCD Pathways by Mingqi CUI, Kaiwen YU, Yang SONG, Fangxu XU, Shenghou WANG, Ze WANG

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Correction: Transcriptomic changes behind Sparus aurata hepatic response to different aquaculture challenges: An RNA-seq study and multiomics integration. by Cláudia Raposo de Magalhães, Kenneth Sandoval, Ferenc Kagan, Grace McCormack, Denise Schrama, Raquel Carrilho, Ana Paula Farinha, Marco Cerqueira, Pedro M Rodrigues

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Ephrin-B2 deletion in GABAergic neurons induces cognitive deficits associated with single-nucleus transcriptomic differences in the prefrontal cortex by Peijun Ju, Yu Fang, Siying Xiang, Weidi Wang, Ying Sun, Wei Wang, Yanli Ding, Chao Luo, Ping Jiang, Jianhua Chen

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Detection of Different Patterns of Genome-Wide Gene Expression Disturbance in Three Nullisomy Lines in Allotetraploid <i>Brassica napus</i> by Shaolin Lei, Bo Wei, Qi Hu, Lang Liu, Feng Yu, Tuo Zeng, Xuye Du, Lei Gu, Hongcheng Wang

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Transcriptomic and Metabolomic Joint Analysis Revealing Different Metabolic Pathways and Genes Dynamically Regulating Bitter Gourd (<i>Momordica charantia</i> L.)... by Boyin Qiu, Dazhong Li, Qianrong Zhang, Hui Lin, Yongping Li, Qingfang Wen, Haisheng Zhu

“…In this study, phenotypic observations, metabolomic and transcriptomic analyses, and differential gene expression patterns, along with a correlation analysis, were conducted in different stages of fruit growth and development. …”
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Comprehensive multi-omics characterization of different cuts of Dezhou donkey meat by Yu Tian, Wei Zhang, Chenxi Gao, Han Wang, Junjie Wang, Shunfeng Cheng, Shuer Zhang, Min Zhang, Jianjun Li, Yujiang Sun, Wei Shen, Shuqin Liu

“…This study conducted a detailed analysis of the nutritional composition of five different cuts of Dezhou donkey meat. Combining these findings with transcriptome data, the researchers identified region-specific gene expression patterns and uncovered key regulatory networks associated with meat quality traits across the various cuts. …”
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Sesquiterpenoid Hormones Farnesoic Acid and Methyl Farnesoate Regulate Different Gene Sets in Shrimp <i>Neocaridina davidi</i> Hepatopancreas by Yehui Luan, Wenyan Nong, Wai Lok So, Jerome Ho Lam Hui

“…Gene pathway enrichment analyses further suggested that the two sesquiterpenoid hormones regulate different sets of genes, with the gene pathway involved in pancreatic secretion enriched only in the FA-treated hepatopancreas. …”
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Transcriptome-derived networks reconstruct distinct immune strategies to counteract fungal infection under different iron availability between Arabidopsis and rice by Antoni Garcia-Molina, Héctor Martín-Cardoso, María Ribaya, Blanca San Segundo, Sílvia Busoms

“…Nevertheless, common regulatory features might differently coordinate the transcriptome responses of both species. …”
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Comparison of Transcriptome Differences in Scales of Two Closely Related Snake Species (<i>Lycodon rufozonatus</i> and <i>Lycodon rosozonatus</i>) by Ke Sun, Anqiong Lu, Yu Xu, Fei Zhu

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Integrated Transcriptomic, Proteomic, and Metabolomic Analyses Reveal Mechanisms Underlying Day–Night Differences in Carbohydrate Metabolism between Diploid and Tetraploid Rice by Weilong Meng, Yuchen Liu, Changjiang Zhang, Xiaohong Zhan, Yingkai Wang, Xinfang Yu, Chunying Zhang, Ningning Wang, Jian Ma

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Transcriptomic characterisation of acute myeloid leukemia cell lines bearing the same t(9;11) driver mutation reveals different molecular signatures by Elise Georges, William Ho, Miren Urrutia Iturritza, Lel Eory, Kamila Malysz, Ulduz Sobhiafshar, Alan L. Archibald, Daniel J. Macqueen, Barbara Shih, David Garrick, Douglas Vernimmen

“…Gene set enrichment analyses and comparison of key transcription and epigenetic regulator genes revealed important differences in the transcriptome, distinguishing these AML models. …”
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LC/MS-based lipidomics and transcriptomics reveal lipid diversity and regulatory networks underlying intramuscular fat differences in Xingguo grey geese by Mengyun Zou, Weihong Zhang, Xiaolan Xiong, Linjie Rao, Qipeng Wei, Haiqin Li, Fanfan Zhang, Jinfang Xie, Zhangzhang Wang, Jiangnan Huang

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Drought Adaptation and Responses of Stipa krylovii Vary Among Different Regions: Evidence From Growth, Physiology, and RNA‐Seq Transcriptome Analysis by Ziqing Gong, Zehang Qu, Yulin Liu, Tao Wang, Baijie Fan, Anzhi Ren, Yubao Gao, Nianxi Zhao

“…In this study, to explore the drought adaptation and responses of the dominant species in the semi‐arid Eurasian Steppes and their differences among the different regions in terms of growth, physiology, and RNA‐seq transcriptome, Stipa krylovii was chosen as the study material, and a seed source (three regions: eastern, middle, and western regions) × soil moisture treatment (three treatments: control, light drought, and heavy drought) two‐factor experiment was conducted. (1) Four growth traits for individuals from the western region were significantly lower than those from the other two regions. …”
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Integrated Multi-Omics of the Longissimus Dorsal Muscle Transcriptomics and Metabolomics Reveals Intramuscular Fat Accumulation Mechanism with Diet Energy Differences in Yaks by Jingying Deng, Pengjia Bao, Ning Li, Siyuan Kong, Tong Wang, Minghao Zhang, Qinran Yu, Xinyu Cao, Jianlei Jia, Ping Yan

“…Further analysis by combined transcriptomics and lipid metabolomics revealed that the differences in IMF deposition mainly originated from the metabolism of lipids, such as TG (triglycerides, TG), PS (phosphatidylserine, PS), and LPC (lysophosphatidylcholine, LPC), and were influenced by <i>SFRP4</i>, <i>FABP4</i>, <i>GADD45A</i>, <i>PDGFRA</i>, <i>RBP4</i>, and <i>DGAT2</i> genes, further confirming the importance of lipid–gene interactions in IMF deposition. …”
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The effects of different doses of compound enzyme preparations on the production performance, meat quality and rumen microorganisms of yak were studied by metagenomics and transcriptomics by Chenyang Zhang, Chenyang Zhang, YongFu La, YongFu La, Xiaoming Ma, Xiaoming Ma, Pingcuo Zhandui, Xiaoyun Wu, Xiaoyun Wu, Xian Guo, Xian Guo, Ping Yan, Ping Yan, Luosan Dunzhu, Chunnian Liang, Chunnian Liang

“…Metagenomics studies were used to investigate the differences in rumen microbial composition and function among yak groups, and transcriptome sequencing of the longest dorsal muscle was performed to reveal the expression of differential genes among different groups. …”
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GC-MS metabolite and transcriptome analyses reveal the differences of volatile synthesis and gene expression profiling between two Chinese rose cultivars by Kaiqing Luo, Chao Song, Tingting Bao, Rui Huang, Shengnan Lin, Yingxue Yang, Luhong Leng, Xuezhu Liao, Cuihua Gu, Zhiqiang Wu, Xiaoni Zhang

“…This study conducted metabolomic and transcriptomic analyses on the floral volatile compounds of Rosa chinensis (R. chinensis) 'Old Blush' ('OB') and R. chinensis 'Chilong Hanzhu' ('CH'). …”
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Metabolome and transcriptomics analyses reveal quality differences between Camellia tachangensis F. C. Zhang and C. sinensis (L.) O. Kunzte. by Yunfei Xu, Qihang Zhou, Xinglin Wang, Xingpan Meng, Zhengdong Zhang, Xu Zhang, Ximin Zhang, Suzhen Niu, Guiping Chen, Lunxian Liu, Tie Shen

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