Skin transcriptomics of invasive Coqui frogs: stress responses, parasite signatures, and antimicrobial peptides. by Randy Ortiz, Leeann C Dabydeen, Carolyn Kosinski, Priyanka Gera, Juan D Carvajal-Castro, Victoria Akilov, Hunter J Howell, Emily Powell, Juan C Santos

“…Its potential to spread to new habitats and rapid breeding are notable. Transcriptome analyses of E. coqui are limited but provide insights into their invasiveness and differential gene expression. …”
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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

“…Genes associated with risk for brain disease exhibit characteristic expression patterns that reflect both anatomical and cell type relationships. Brain-wide transcriptomic patterns of disease risk genes provide a molecular-based signature, based on differential co-expression, that is often unique to that disease. …”
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Hamsters with long COVID present distinct transcriptomic profiles associated with neurodegenerative processes in brainstem by Anthony Coleon, Florence Larrous, Lauriane Kergoat, Magali Tichit, David Hardy, Thomas Obadia, Etienne Kornobis, Hervé Bourhy, Guilherme Dias de Melo

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Transcriptome data from the interdigital webs of the Chinese Soft-shell Turtle (Pelodiscus sinensis) by Shibin Bai, Shanshan Li, Yining Tang, Ziqiu Jia, Songyang Shang, David M. Irwin, Shuyi Zhang, Zhe Wang

“…Whole-mount in situ hybridization (WISH) and real-time quantitative PCR (RT-qPCR) of representative genes confirmed the accuracy of the transcriptomic results. These findings not only provide new perspectives and data to support comparative studies of adaptive convergent evolution in aquatic animals but also enhance our understanding of the mechanisms underlying tetrapod limb morphogenesis. …”
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Comprehensive data for studying serum exosome microRNA transcriptome in Parkinson’s disease patients by Zhiyang Yu, Shinji Saiki, Kenta Shiina, Tatou Iseki, Yukiko Sasazawa, Kei-Ichi Ishikawa, Noriko Nishikawa, Wataru Sako, Genko Oyama, Taku Hatano, Ayami Suzuki, Sanae Souma, Tetsushi Kataura, Nobutaka Hattori

“…Here, we present serum exosome miRNA transcriptome data generated from four cohort studies. …”
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Comparative transcriptomes and WGCNA reveal hub genes for spike germination in different quinoa lines by Liubin Huang, Lingyuan Zhang, Ping Zhang, Junna Liu, Li Li, Hanxue Li, Xuqin Wang, Yutao Bai, Guofei Jiang, Peng Qin

“…This will ultimately provide a theoretical basis for breeding new quinoa varieties with resistance.…”
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A transcriptomic landscape analysis of human necrotizing enterocolitis: Important roles of immune infiltration by Zhuojun Xie, Quan Kang, Yulu Shi, Junbao Du, Hao Jiang

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Comprehensive visceral transcriptome profiling of three pig breeds along altitudinal gradients in Yunnan by Jinlong Huo, Zhipeng Liu, Xia Zhang, Changyao Li, Decai Xiang, Guowen Fu, Wan Lin, Lingxiang Wu, Shaorong Gong, Jiading Zhao, Zhen Wang, Xiaohong Wang, Zhiping Xiao, Fanfan Hao, Yue Ren, Yu H. Sun, Guiying Zhao

“…Our research significantly improved porcine genome annotation and provided a high-quality transcriptome resource for investigating the genetic mechanisms of high-altitude hypoxia adaptation. …”
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Aging and head and neck cancer insights from single cell and spatial transcriptomic analyses by Yi Pei, Zhuying Mou, Lai Jiang, Jinyan Yang, Yuheng Gu, Jie Min, Lingyi Sunzhang, Nan Xiong, Xiang Xu, Hao Chi, Ke Xu, Sinian Liu, Huiyan Luo

“…In this study, we deeply explored the expression of Aging-related genes(ARGs) in HNSCC and analyzed their prognostic significance using single-cell sequencing and spatial transcriptomics analysis. This research aims to provide new theoretical support and directions for personalized treatment. …”
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Exploring the mechanism of seed shattering in Psathyrostachys juncea through histological analysis and comparative transcriptomics by Yuru Lv, Lan Yun, Miaomiao Jia, Yixin Mu, Zhiqiang Zhang

“…Conclusions This study provides an in-depth understanding of the regulatory mechanisms of SS in P. juncea through comparative transcriptomic analysis. …”
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Combined metabolome and transcriptome analyses reveal the mechanism of etiolated mutant leaves of Quercus gilva by LIN Li1, HE Yueqiu1, WANG Hao2, LU Yunfeng2, WANG Jianjun2, HUANG Huahong3

“…In addition, the genes of the MYB and bHLH families were significantly up-regulated in mutant leaves, confirming these two types of transcription factors were involved in regulating flavonoid biosynthesis. This study provides new molecular insights for the phenomenon of leaf etiolation, and also provides the reference for exploring leaf color-related functional genes and breeding of landscape plant.…”
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Transcriptome analysis revealed the mechanism of skeletal muscle growth and development in different hybrid sheep by Mengyu Lou, Sihuan Zhang, Wangxin Yang, Shuang Li, Hongguo Cao, Zijun Zhang, Yinghui Ling

“…DEGs were mainly enriched in extracellular matrix-receptor interactions and cell adhesion molecules. (3) Protein–protein interaction screening yielded five (MYL2, TNNI1, TNNI3, MYH11, TNNC1) and three (SOX10, COL2A1, MPZ) pivotal DEGs regulating muscle development in EH and SHE. (4) RT-qPCR test results were consistent with transcriptome sequencing. Conclusion This study provides candidate genes for improving sheep growth traits. …”
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Cross-tissue transcriptome-wide analysis reveals novel insights into thyroid cancer etiology by Yue Zhu, Yu Luo, Yuye Zhang, Yixuan Wang, Zhangqi Gu, Jinyan Liu, Ancheng Qin, Weifeng Qian

“…Methods We performed a transcriptome-wide association study (TWAS) to identify the susceptibility genes for TC. …”
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Genome-wide association and transcriptomic analysis and the identification of growth-related genes in Macrobrachium nipponense by Zijian Gao, Wenyi Zhang, Sufei Jiang, Hui Qiao, Yiwei Xiong, Shubo Jin, Hongtuo Fu

“…In order to investigate the molecular mechanisms of growth in M. nipponense, and to provide a foundation for molecular breeding, we used genome-wide association analysis (GWAS) and transcriptomic analysis to screen polymorphisms and genes related to growth traits. …”
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Transcriptomic profiling of lncRNAs and mRNAs in a venous thrombosis mouse model by Risheng Hao, Haobo Li, Xincheng Li, Jixiang Liu, Xiaofan Ji, Hong Zhang, Zhu Zhang, Peiran Yang, Zhenguo Zhai

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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

“…Abstract Background Xenobiotic exposures can extensively influence the expression and alternative splicing of drug-metabolizing enzymes, including cytochromes P450 (CYPs), though their transcriptome-wide impact on splicing remains underexplored. …”
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Transcriptomic Research in Heart Failure with Preserved Ejection Fraction: Current State and Future Perspectives by Sebastian Rosch, Karl-Philipp Rommel, Markus Scholz, Holger Thiele, Philipp Lurz

“…This article aims to provide an overview and a future perspective of transcriptomic biomarker research in HFpEF. …”
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Physiological and transcriptomic analyses reveal the regulatory mechanisms for the adaptation of Quercus robur to shade conditions by Xiong Huang, Qiuhong Hu, Mengke Dou, Cai Liu, Jiangtao Fan, Jia Liu, Peng Zhu

“…This study aimed to investigate the physiological and transcriptomic changes in Q. robur under varying shade conditions. …”
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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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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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