Selective Activation of Cancer Stem Cells by Size-Specific Hyaluronan in Head and Neck Cancer by Marisa Shiina, Lilly Y. W. Bourguignon

“…Furthermore, our results indicate that the anti-miR-10 inhibitor not only decreases survival protein expression, but also increases chemosensitivity of the 200 kDa-HA-treated CSCs. …”
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Time series analysis combined with transcriptome sequencing to explore characteristic genes and potential molecular mechanisms associated with ultrasound-guided microwave ablation... by Qian Zhang, Guangfei Yang, Ruijiao Chang, Fuxia Wang, Tao Han, Jin Tian, Wen Wang

“…Two immune checkpoints (CD96 and TIGIT) and six inflammatory factors played key roles in US-guided MWA for glioma. ceRNA regulatory networks revealed that miR-625-5p, miR-625-3p, miR-31-5p and miR-671-5p were associated with target genes. qRT-PCR indicated both IL32, VCAM1, and NFKB1 were potential markers under US-guided MWA-related time series analysis.Conclusion The use of US-guided MWA might be a practical method for influencing the function of target genes, regulating time frames to decrease inflammation, and stimulating immune responses in glioma therapy.…”
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Comprehensive Analysis of Competing Endogenous RNA Network Focusing on Long Noncoding RNA Involved in Cirrhotic Hepatocellular Carcinoma by Yuli Zhang, Dinggui Chen, Miaomiao Yang, Xianfeng Qian, Chunmei Long, Zhongwei Zheng

“…Two novel regulatory pathways, EGOT-miR-32-5p-XYLT2 axis and SERHL-miR-1269a/miR-193b-3p-BCL2L1/SYK/ARNT/CHST3/LPCAT1 axis, were built up and contribute to the underlying mechanism of HCC pathogenesis. …”
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Pivotal role of MiRNA's in malignant transformation of Oral Submucous Fibrosis by J.H. Shazia Fathima, Selvaraj Jayaraman, Asma Abdullah Nurul, Ramya Sekar, Inamul Hasan Madar, Logalakshmi Thirumani, Nazmul Huda Syed

“…OSMF, a potentially life-threatening disorder, exhibits a 7.6% to 13% probability of malignant transformation. MiRNAs like miR-21 and miR-29b play crucial roles in OSMF pathogenesis, affecting fibrosis and malignancy. …”
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LURAP1L-AS1 long noncoding RNA promotes breast cancer progression and associates with poor prognosis by Radhakrishnan Vishnubalaji, Dania Awata, Nehad M. Alajez

“…Bioinformatics analysis predicted LURAP1L-AS1 to function as a competitive endogenous RNA (ceRNA), sponging key microRNAs, such as miR-7a-5p, miR-101-3p, miR-181a-5p, and miR-27a-3p, thereby modulating oncogenes including EZH2, MCL1, and KRAS, which are linked to increased cancer cell survival, proliferation, and metastasis.In addition to its role in TNBC, correlation analysis using breast cancer patient datasets revealed a significant association between LURAP1L-AS1 and ESR1 expression, suggesting its broader impact across breast cancer subtypes. …”
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Construction of a circRNA-miRNA-mRNA Regulatory Network for Coronary Artery Disease by Bioinformatics Analysis by Zebo Zhang, Haiyan Qian, Li Wang, Zhenbo Tao, Keai Cheng, Kaiyue Wang, Yanqing Xie, Lina Zhang

“…PPI network analysis showed that eight hub genes were closely related to CAD, leading to the identification of a circRNA-miRNA-hub gene subnetwork consisting of nine circRNAs (hsa_circ_0020275, hsa_circ_0020387, hsa_circ_0020417, hsa_circ_0045512, hsa_circ_0047336, hsa_circ_0069094, hsa_circ_0071326, hsa_circ_0071330, and hsa_circ_0085340), four miRNAs (hsa-miR-136-5p, hsa-miR-376c-3p, hsa-miR-411-5p, and hsa-miR-654-5p), and eight mRNAs (MKRN1, UBE2H, UBE2W, UBE2D1, UBE2F, BE2J1, ZNRF1, and SIAH2). …”
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Unlocking melanoma Suppression: Insights from Plasma-Induced potent miRNAs through PI3K-AKT-ZEB1 axis by Pradeep Bhartiya, Apurva Jaiswal, Manorma Negi, Neha Kaushik, Eun Ha Choi, Nagendra Kumar Kaushik

“…Mechanistically, inhibiting miR-200b-3p and miR-215-5p in SK-2 cells enhanced ZEB1, PI3K, and AKT expression, increasing cell proliferation and viability. …”
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The β-Lactamase Gene Profile and a Plasmid-Carrying Multiple Heavy Metal Resistance Genes of Enterobacter cloacae by Chongyang Wu, Chaoqin Lin, Xinyi Zhu, Hongmao Liu, Wangxiao Zhou, Junwan Lu, Licheng Zhu, Qiyu Bao, Cong Cheng, Yunliang Hu

“…The complete genome of the blaMIR-positive strain (Y546) consisted of both a chromosome (4.78 Mb) and a large plasmid pY546 (208.74 kb). …”
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Self‐Healing Hyaluronic Acid‐based Hydrogel with miRNA140‐5p Loaded MON‐PEI Nanoparticles for Chondrocyte Regeneration: Schiff Base Self‐Assembly Approach by Wei Zhu, Han Wang, Bin Feng, Guangli Liu, Yixin Bian, Tianhao Zhao, Qi Wang, Xisheng Weng

“…These findings demonstrate that this novel hydrogel (miR140‐5p‐CaP@mSF‐HA‐NB) effectively encapsulates and releases miR140‐5p, exhibits excellent biocompatibility, and promotes enhanced cartilage regeneration in both in vitro and in vivo models. …”
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Identification of Breast Cancer Biomarkers by Constructing Protein-Protein Interaction and miRNAs-mRNAs Networks by Azizeh Asadzadeh, Bita Behboodian, Parsa Bernoos, Masoumeh Shojaei Barjouei

“…Based on miRNAs-mRNAs networks, 4 key miRNAs including hsa-miR-182-5p, hsa-miR-96-5p, hsa-miR-335-3p, and hsa-miR-32-5p play a critical role in network regulation.Conclusion: Our study presents PPI and miRNAs-mRNAs networks for identifying molecular biomarkers in breast cancer. …”
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Generation and miRNA Characterization of Equine Induced Pluripotent Stem Cells Derived from Fetal and Adult Multipotent Tissues by Laís Vicari de Figueiredo Pessôa, Pedro Ratto Lisboa Pires, Maite del Collado, Naira Caroline Godoy Pieri, Kaiana Recchia, Aline Fernanda Souza, Felipe Perecin, Juliano Coelho da Silveira, André Furugen Cesar de Andrade, Carlos Eduardo Ambrosio, Fabiana Fernandes Bressan, Flavio Vieira Meirelles

“…The miRNA profile revealed a segregated pattern between the eiPSCs and multipotent controls: the levels of miR-302/367 and the miR-92 family were increased in the eiPSCs, while the levels of miR-23, miR-27, and miR-30, as well as the let-7 family were increased in the nonpluripotent cells. …”
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Infrared Optical Constants and Computational Studies of Neat Liquid -Butylethylether by K. B. Beć, J. P. Hawranek

“…In this paper we studied vibrational properties of neat liquid n-butylethylether (NBEE), including the determination of complex refractive index in the NIR and MIR range (11700–560 cm−1). The high absorption of neat liquid in the MIR range required the use of thin-film transmission recordings. …”
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In silico analysis of hub genes and regulatory networks implicates the putamen in non-motor Parkinson’s disease disorders by Stephen Tunmise Akanbi, Joshua Ayodele Yusuf, Thompson Oluwaferanmi Ayandele, Dayo Samson Oladipupo, Darasimi Racheal Olorunlowu, Blessing Dorcas Olawuyi, Joshua Oluwafisayo Adepoju, Dolapo Emmanuel Opasina, Elizabeth Kehinde Opoola, Uchenna Victor Ugwuanyi, Olufunto Omodele Adeleye

“…Notable miRNAs included hsa-mir-34a-5p, hsa-mir-15a-5p, hsa-mir-424-5p, and hsa-mir-19b-3p, while key transcription factors include GATA2, CREB1, FOXC1, FOXL1, TID1, NFKB1, YY1, SPIB, GATA3, and STAT3. …”
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Developing a ceRNA-based lncRNA-miRNA-mRNA regulatory network to uncover roles in skeletal muscle development by Wang Wenlun, Wang Wenlun, Yu Chaohang, Huang Yan, Li Wenbin, Zhou Nanqing, Hu Qianmin, Wu Shengcai, Yuan Qing, Yu Shirui, Zhang Feng, Zhu Lingyun

“…Additionally, we created a detailed lncRNA-miRNA-mRNA regulatory network, including interactions such as lncRNA Xist/miR-126/IRS1, lncRNA Xist/miR-486-5p/GAB2, lncRNA Pvt1/miR-148/RAB34, and lncRNA Gas5/miR-455-5p/SOCS3. …”
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Phthalate exposure induces microRNA-5010/Nrf2-EGR1/GDF15 signaling expression in prostate cancer by Yuh-Shyan Tsai, Yeong-Chin Jou, Ian Seng Cheong, Hsiu-Ting Tung, Lin-Nei Hsu, Hsin-Tzu Tsai, Tzong-Shin Tzai

“…Unlike MIR-205, a known tumor suppressor gene in prostate cancer, gene set enrichment analysis revealed that higher MIR-5010 expression was linked to increased Nrf-2 downstream signaling (enriched score: 0.35; p = 0.17). …”
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DEPDC1B, CDCA2, APOBEC3B, and TYMS are potential hub genes and therapeutic targets for diagnosing dialysis patients with heart failure by Wenwu Tang, Wenwu Tang, Zhixin Wang, Xinzhu Yuan, Liping Chen, Haiyang Guo, Zhirui Qi, Ying Zhang, Xisheng Xie

“…We constructed a ceRNA regulatory network, and found that 4 hub genes (TYMS, CDCA2 and DEPDC1B) might be regulated by 4 miRNAs (hsa-miR-1297, hsa-miR-4465, hsa-miR-27a-3p, hsa-miR-129-5p) and 21 lncRNAs (such as HCP5, CAS5, MEG3, HCG18). 24 small molecule drugs were predicted based on TYMS through DrugBank website. …”
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METTL3-Mediated m6A Modification Regulates the Osteogenic Differentiation through LncRNA CUTALP in Periodontal Mesenchymal Stem Cells of Periodontitis Patients by Xin Chen, Yuan Qin, Xian Wang, Hao Lei, Xiaochen Zhang, Houzhuo Luo, Changgang Guo, Weifu Sun, Shishu Fang, Wen Qin, Zuolin Jin

“…The attenuated osteogenic differentiation induced by lncRNA CUTALP knockdown could be reversed by the miR-30b-3p inhibitor. Conclusions. In summary, METTL3/lncRNA CUTALP/miR-30b-3p/Runx2 is a regulatory network in the osteogenic differentiation of pPDLSCs.…”
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Effects of fluconazole and amphotericin B in the control of cryptococcal pneumonia in vivo by Zhao Yu, Zhihao Liu, Jiaojiao Qian, Yuanyuan Qian

“…This investigation aimed to assess the combined therapeutic efficacy of Fluconazole and Amphotericin B for cryptococcal pneumonia and to explore the roles of miR-15b and TGF-β1 in modulating treatment response. …”
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Differentially Expressed MicroRNAs in the Development of Early Diabetic Retinopathy by Qiaoyun Gong, Jia’nan Xie, Yang Liu, Ying Li, Guanfang Su

“…HREC/RPE viability decreased after 24 h incubation and diminished further over 6 days, and Hoechst staining revealed hyperglycemia-induced HREC/RPE apoptosis. Although miR-124/-125b expression decreased with DR progression in vitro and in vivo, miR-135b/-199a levels decreased in retinal cells under hyperglycemia exposure, but increased in diabetic retinas. …”
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Microrna expression patterns associated with average daily weight gain in kangal akkaraman lambs by Gonca Sonmez, Seref Inal

“…According to RNA-seq results, the two miRNAs with the highest fold change were detected; 0,66 (oar-miR-21) and 0,61 (oar-miR-150). It was determined by RT-qPCR that HDG sheep had 0,63 times lower oar-mir-150 expression, which was not statistically significant, compared to LDG sheep. …”
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