The Maize Corngrass1 miRNA-Regulated Developmental Alterations Are Restored by a Bacterial ADP-Glucose Pyrophosphorylase in Transgenic Tobacco by Ayalew Ligaba-Osena, Kay DiMarco, Tom L. Richard, Bertrand Hankoua

“…The transcript level of miRNA156 target SQUAMOSA promoter binding-like (SPL) transcription factors was suppressed severely in Cg1-expressing lines as compared to the wild type. …”
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The study of miRNA-211 affects melanogenesis progress in Cashmere goats via suppressing <i>AP1S2</i> by B. Zhang, R. Liu, T. Ma, X. Li, Y. Zhao, H. Su, J. Li, Y. Li, H. Jiang, Q. Zhang

“…By targeting the 3<span class="inline-formula">^′</span>UTR region of genes, such as miRNA-211, miRNA plays a significant regulatory role in melanogenesis. …”
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Comprehensive analysis of the circRNA expression profile and circRNA-miRNA-mRNA network in pelvic organ prolapse by Qian Wang, Zuoxi He, Lisha Ding, Yuqing Liu, Xiaoli Zhang, Tao Wang, Xiaoyu Niu

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Altered expression of miRNA profile in peripheral blood mononuclear cells following the third dose of inactivated COVID-19 vaccine by Guanguan Qiu, Ruoyang Zhang, Huifeng Qian, Ruoqiong Huang, Jie Xia, Ruoxi Zang, Zhenkai Le, Qiang Shu, Jianguo Xu, Guoping Zheng, Jiangmei Wang

“…The present study aimed to examine miRNA expression profile in participants who received a homologous third dose of the CoronaVac vaccine. …”
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Argonaute2 modulates megakaryocyte development and sex-specific control of platelet protein expression and reactivity by Sophia Lazar, Jeremy G.T. Wurtzel, Shayan Askari, Matthew Cooper, Xuefei Zhao, Peisong Ma, Lawrence E. Goldfinger

Subjects: “…miRNA…”
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Parkinson’s disease and exosomes: from pathogenesis to diagnosis and treatment by A. Mišeikaitė, P. Vaitkienė

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Improved Predictability of Diagnosis and Prognosis Using Serum‐ and Tissue‐Derived Extracellular Vesicles From Bulk mRNA Sequencing in Pancreatic Ductal Adenocarcinoma by Qian Zhu, Zhang Chen, Ming Tian, Xin Yan, Xiangdong Gongye, Zhicheng Liu, Anbang Zhao, Zhiyong Yang, Yufeng Yuan

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Semen quality and fertility effectiveness of cloned buffalo (Bubalus bubalis) bulls by Manoj Kumar Singh, Smiriti Gupta, Kanika Gandhi, S.S. Lathwal, Naresh L. Selokar

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Endometrial Cancer Cells Promote M2-Like Macrophage Polarization by Delivering Exosomal miRNA-21 under Hypoxia Condition by Li Xiao, Yumin He, Fan Peng, Jianlin Yang, Chengfu Yuan

“…To further study the effect of miRNA-21-containing exosomes, we transfected miRNA-21 mimics or inhibitor into THP-1 cells. …”
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Liver macrophage-derived exosomal miRNA-342-3p promotes liver fibrosis by inhibiting HPCAL1 in stellate cells by Wenshuai Li, Lirong Chen, Qi Zhou, Tiansheng Huang, Wanwei Zheng, Feifei Luo, Zhong Guang Luo, Jun Zhang, Jie Liu

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MDFGNN-SMMA: prediction of potential small molecule-miRNA associations based on multi-source data fusion and graph neural networks by Jianwei Li, Xukun Zhang, Bing Li, Ziyu Li, Zhenzhen Chen

Subjects: “…Small molecule-miRNA association…”
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Prediction of miRNA-circRNA Associations Based on k-NN Multi-Label with Random Walk Restart on a Heterogeneous Network by Zengqiang Fang, Xiujuan Lei

“…Recently, many studies have shown that circRNAs can be regarded as micro RNA (miRNA) sponges, which are known to be associated with certain diseases. …”
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CircRNA-miRNA-mRNA regulatory network in high-altitude hypobaric hypoxia-induced hearing impairment and hearing acclimatization by Danzeng Awang, Kanzi Danzeng, Tianheng Wang, Quzong Deji, Mengting Huang, Hailong Ren, Xinzhu Liu, Binghan Zhao, Lanzi Gongga

“…Differentially Expressed circRNAs (DEcircRNAs) and Differentially Expressed mRNAs (DEmRNAs) were obtained, and circRNA-miRNA and miRNA-mRNA regulation were predicted. A circRNA-miRNA-mRNA competing endogenous RNA (ceRNA) network was also constructed. …”
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Identifying a Serum Exosomal-Associated lncRNA/circRNA-miRNA-mRNA Network in Coronary Heart Disease by Jia Mao, Yufei Zhou, Licheng Lu, Ping Zhang, Runhua Ren, Yaqiong Wang, Jing Wang

“…Subsequently, a protein-protein interaction (PPI) network was established to screen out on which hub genes enrichment analyses should be performed, and a ceRNA network (lncRNA/circRNA-miRNA-mRNA) was constructed to elucidate ceRNA axes in CHD. …”
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Analysis of Argonaute Complex Bound mRNAs in DU145 Prostate Carcinoma Cells Reveals New miRNA Target Genes by Jaroslaw Szczyrba, Volker Jung, Michaela Beitzinger, Elke Nolte, Sven Wach, Martin Hart, Sandra Sapich, Marc Wiesehöfer, Helge Taubert, Gunther Wennemuth, Norbert Eichner, Thomas Stempfl, Bernd Wullich, Gunter Meister, Friedrich A. Grässer

“…In conjunction with the already published miRNA profiles of PCa, the data can be used to identify miRNA-regulated mRNAs.…”
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Expression and characterization of exosomal miRNAs in healthy, sub-clinical mastitis and pasteurized milk of buffaloes by Korsapati L. Yoshitha, Shailesh D. Ingole, Simin V. Bharucha, Mandakranta Bhuyan, Rajesh R. Pharande, Rajiv V. Gaikwad

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Emerging roles of circular RNAs on the regulation of production traits in chicken by Guishuang You, Hong Long, Xiaoxu Shen, Huadong Yin, Shibin Zhang

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Endothelial Cell-Derived Extracellular Vesicles Target TLR4 via miRNA-326-3p to Regulate Skin Fibroblasts Senescence by Xinni Yang, Jiyong Tan, Jiqing Shen, Xin Zhang, Gaoxiang Huang, Xiaoxue Su, Jing Li

“…Western blot was used to detect TLR4 protein expression. The target gene of miRNA were identified using a double luciferase reporter assay. miR-326-3p mimic/inhibitor and siRNA-TLR4 can demonstrate a nonnegligible link between miR-326-3p-TLR4 and skin aging. …”
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Comprehensive assessment of a miRNA-mRNA regulatory network in Meretrix meretrix: Implications for metabolism and autophagy across divergent growth rates by Yuchen Wang, Zhidong Zhang, Suhua Chen, Yangping Wu, Qiujie Li, Yi Cao, Yu Zhang, Aihua Chen

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Investigating the miRNA-mRNA interactome of human trabecular meshwork cells treated with TGF-β1 provides insights into the pathogenesis of pseudoexfoliation glaucoma. by Anton W Roodnat, Chelsey Doyle, Breedge Callaghan, Karen Lester, Megan Henry, Carl Sheridan, Declan J McKenna, Colin E Willoughby, Sarah D Atkinson

“…For both mRNA and miRNA species, differential expression was determined using a bioinformatics pipeline consisting of FastQC, STAR, FeatureCounts, edgeR (for miRNA) and DESeq2 (for mRNA). …”
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