Transcriptomic analysis reveals the function of m6A regulators in aged cochlea by Yanbing Lai, Bo Su, Xiaodi Wang, Chenghui Zeng, Hanqi Chu, Liangqiang Zhou, Dan Bing

“…Methods: We sequenced the transcriptome from the cochleae of six young (2-mo) and six old mice (24-mo) bioinformatics analysis. …”
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New insights into the transcriptomic profile during the late stages of chicken embryonic development by Di Zhao, Yifan Shi, Jiatai Deng, Bolin Zhong, Yuanyuan Zeng, Qingyuan Ouyang, Haihan Zhang, Zehe Song, Xi He

“…Our findings revealed notable phenotypic differences: AA broilers exhibited greater embryo weight and larger muscle fiber cross-sectional areas compared to TY chickens. …”
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Transcriptome Sequencing Reveals the Molecular Mechanism of Heat Stroke-Induced Myocardial Injury by Xiang J, Shao S, Huang J, Yang N, Guo F, Tang B, Zhang L

“…The purpose of this study was to investigate the potential mechanisms of heat stroke-induced myocardial injury via transcriptome sequencing.Methods: HS models of rat and H9C2 cells were constructed and transcriptomic sequencing was performed. …”
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Comparison of Transcriptomic Signatures between Monkeypox-Infected Monkey and Human Cell Lines by Do Thi Minh Xuan, I-Jeng Yeh, Chung-Che Wu, Che-Yu Su, Hsin-Liang Liu, Chung-Chieh Chiao, Su-Chi Ku, Jia-Zhen Jiang, Zhengda Sun, Hoang Dang Khoa Ta, Gangga Anuraga, Chih-Yang Wang, Meng-Chi Yen

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Combining Transcriptomics and Proteomics to Screen Candidate Genes Related to Bovine Birth Weight by Xiuyuan Wang, Ruili Liu, Zhenpeng Chen, Renzheng Zhang, Yanfang Mei, Xiuping Miao, Xuejin Bai, Yajuan Dong

“…Methods: We established transcriptome and proteome databases for low-birth-weight (LB) and high-birth-weight (HB) calf placentae, identifying key genes and proteins associated with birth weight through bioinformatics analyses that included functional enrichment and protein–protein interactions (PPIs). …”
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Integrating multiple spatial transcriptomics data using community-enhanced graph contrastive learning. by Wenqian Tu, Lihua Zhang

“…Spatial transcriptomics data coming from different platforms usually has different resolutions. …”
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Deciphering the molecular transcriptomic mechanisms of carbon ion beams and X-ray on rice seedlings by Jianing Ding, Chaoli Xu, Yan Du, Xiao Liu, Jingmin Chen, Zhe Li, Jing Long, Yukun Sheng, Wenjie Jin, Dan Xu, Libin Zhou

“…Nevertheless, the mechanism underlying the complex responses of plants to different IR are not yet fully comprehended. Results we conducted transcriptome sequencing on rice seedlings that exhibited a relative root length of approximately 69% after being exposed to carbon ion beams (CIBs) and X-ray respectively. …”
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UNRAVELING THE RELATIONSHIPS BETWEEN TUMOR CELLS AND THEIR MICROENVIRONMENT USING HIGH-RESOLUTION SPATIAL TRANSCRIPTOMICS

“…Moreover, these data can also be used to infer the signals that different types of cells exchange with each other. …”
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Choice of bacterial growth medium alters the transcriptome and phenotype of Salmonella enterica Serovar Typhimurium. by Jessica M A Blair, Grace E Richmond, Andrew M Bailey, Al Ivens, Laura J V Piddock

“…These data highlight the profound differences in the global transcriptome after in vitro growth in different media and show that choice of medium should be considered carefully during experimental design, particularly when virulence related phenotypes are being measured.…”
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Dissecting crosstalk induced by cell-cell communication using single-cell transcriptomic data by Jiawen Hou, Wei Zhao, Qing Nie

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Full-length transcriptome analysis of a bloom-forming dinoflagellate Scrippsiella acuminata (Dinophyceae) by Fengting Li, Caixia Yue, Yunyan Deng, Ying Zhong Tang

“…Herein, we employed single-molecule real-time (SMRT) sequencing technology to acquire the full-length transcriptome of S. acuminata at different life stages (vegetative cells at different growth stages and resting cysts). …”
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KrillDB: A de novo transcriptome database for the Antarctic krill (Euphausia superba). by Gabriele Sales, Bruce E Deagle, Enrica Calura, Paolo Martini, Alberto Biscontin, Cristiano De Pittà, So Kawaguchi, Chiara Romualdi, Bettina Meyer, Rodolfo Costa, Simon Jarman

“…We have developed the most advanced genetic database on Euphausia superba, KrillDB, which includes comprehensive data sets of former and present transcriptome projects. In particular, we have built a de novo transcriptome assembly using more than 360 million Illumina sequence reads generated from larval krill including individuals subjected to different CO2 levels. …”
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Identification of Wheat Inflorescence Development-Related Genes Using a Comparative Transcriptomics Approach by Lingjie Ma, Sheng-Wei Ma, Qingyan Deng, Yang Yuan, Zhaoyan Wei, Haiyan Jia, Zhengqiang Ma

“…To identify genes and gene network underlying inflorescence morphology and fertility of bread wheat, expressed sequence tags (ESTs) from different tissues were analyzed using a comparative transcriptomics approach. …”
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Integrated transcriptomic and metabolomic analysis reveals stage-associated molecular profiles in Ophiocordyceps sinensis by Tao Wang, Chuyu Tang, Kejia De, Jianzhao Qi, Yuling Li, Xiuzhang Li

“…The up accumulation of organic acids and derivatives with delayed harvesting led to distinct abundances and compositions of amino acids, peptides, analogs, and fatty acids and conjugates, ultimately influencing the quality of O. sinensis. Transcriptomic analysis revealed 2550 differentially expressed genes (DEGs) at different harvesting stages, with KEGG-based enrichment analysis highlighting their involvement in amino acid-related activities like tyrosine metabolism and fatty acid degradation. …”
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Liver transcriptome analysis reveals PSC-attributed gene set associated with fibrosis progression by Alena Laschtowitz, Eric L. Lindberg, Anna-Maria Liebhoff, Laura Anne Liebig, Christian Casar, Silja Steinmann, Adrien Guillot, Jun Xu, Dorothee Schwinge, Michael Trauner, Ansgar Wilhelm Lohse, Stefan Bonn, Norbert Hübner, Christoph Schramm

“…For validation, we compared an external transcriptome data set of liver biopsies from people with PSC (n = 73) with different fibrosis stages (baseline samples from NCT01672853). …”
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Metabolomic and Transcriptomic Analysis of the Mechanism of the Apple Coloration Change After Uncovering Fruit Bag by Pengwei Duan, Xiaojian Ma, Haiqiang Shi, Lizhe Qin, Jizhuang Du, Sumiao Yang, Jianjun Zhang

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Insight into the composition and differentiation of endophytic microbial communities in kernels via 368 maize transcriptomes by Fang Tao, Feng Chen, Haida Liu, Cheng Chen, Beijiu Cheng, Guomin Han

“…Objectives: We aimed to elucidate the composition of endophytic microorganisms in developing maize kernels, emphasizing differences among various inbred lines. Methods: The transcriptomic data of 368 maize inbred lines were used to explore the composition and diversity of endophytic microorganisms. …”
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Transcriptomics and metabolomics insights into the seasonal dynamics of meat quality in yak on the Qinghai-Tibetan Plateau by Tongqing Guo, Xungang Wang, Qian Zhang, Yuna Jia, Hongjin Liu, Linyong Hu, Na Zhao, Shixiao Xu, Yingzhu Duan, Ke Jia

“…After slaughter, samples of longissimus lumborum were collected and subjected to transcriptomics and metabolomics to explore the effects of different seasons on meat quality. …”
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Metabolomics and Transcriptomics Reveal Age-Dependent Development of Meat Quality Traits in Jingyuan Chicken by Jiahuan Hu, Wei Zhao, Jinyan Zhao, Jinli Tian, Lijuan Yang, Hua Wang, Siyu Chen, Ruimin Ma, Yaling Gu, Dawei Wei, Juan Zhang

“…This study deepens our understanding of the differences in MLC deposition at different stages of Jingyuan chickens and its relationship with meat quality traits.…”
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Transcriptome analysis of testes gene expression to explore genetic diversity of Mangalica and Camborough boars by Keigo Yamane, Sangwoo Kim, Akari Koide, Erina Yoneda, Mitsunori Kayano, Yuki Muranishi

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