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miR-105
BMC Urology · 2023 ·Vol. 23 ·期 1 ·1-11 · IF 2

Exosomal miR-105-5p derived from bladder cancer stem cells targets for GPR12 to promote the malignancy of bladder cancer

Pan Gaojian,Jiang Bo,Yi Zhongquan,Yin Jiuhu,Liu Yadong

Bladder cancer stem cells (BCSCs) are considered as the root cause of BC initiation and recurrence, and exosomes derived from BCSCs (CSCs-exo) are the vital tool for establishing a stable tumor microenvironment. miR-105-5p has been revealed to promote tumor growth in a variety of cancers, but the effects on BC are still not included.Characteristics of CSCs-exo were examined by transmission electron microscope and nanoparticle tracking analysis. PKH67 dye was used to observe the cellular uptake of exosomes. Cell viability, migration and invasion were detected by CCK-8, wound healing and transwell invasion assays, respectively. The interaction between miR-105-5p and GPR12 was verified by luciferase activity assay. Xenografts were induced in the nude mice, and H&E staining method was applied to analyze the histological changes of xenografts. CSCs-exo efficiently promoted BC cell viability, migration and invasion. miR-105-5p was highly expressed in CSCs and CSCs-exo treatment significantly upregulated the expression of miR-105-5p in BC cells.GPR12 was subsequently verified to be the target gene of miR-105-5p, and overexpression of GPR12 abrogated the effects of miR-105-5p on BC cell growth and metastasis. Reversely, the anti-tumor function of miR-105-5p antagomir was observed in the xenograft mice.CSCs aggravated the malignancy of BC partly through transmitting exosomal miR-105-5p to BC cells to inhibit the expression of GPR12, which developed a novel aspect for CSC-targeted therapies.

研究领域: 肿瘤学 · 分子生物学 · 细胞生物学
✓ 已验证 DOI PubMed 高影响因子
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ANALYTICA CHIMICA ACTA · 2025 · IF 6

Hand in hand catalytic hairpin assembly-based FÖrster resonance energy transfer biosensor for simultaneous detection of multiple MicroRNAs from breast cancer

Noshin Afshan,Tao Cheng,Jiabao Yu,Ke Jiao,Lie Li,Jianwei Jiao,Jin Jiao

Background The early breast cancer diagnosis is a great challenge for the treatment success. Traditional FRET biosensors often rely on a one-to-one output pattern, meaning that each target biomarker generates a single fluorescence signal, limiting both the analytical efficiency and diagnostic value. Furthermore, the use of single biomarker for early diagnosis has substantial drawbacks, as it often leads to incomplete or misleading results. The simultaneous detection of miR-155 and miR-105 offers a more robust and clinically relevant diagnostic tool, reducing the likelihood of false positives and allowing for a more accurate assessment of breast cancer at an early stage. Results In this work, a hand in hand catalytic hairpin assembly (CHA) centered FÖrster resonance energy transfer (HCA-FRET) biosensor is designed, which allows two-in-one analysis of breast cancer related two biomarkers. In this system, miR-155 and miR-105, which are involved in regulating the malignant proliferation of breast cancer, are designed as two inputs as the AND DNA logic gate. Hand in hand CHA amplification circuit is effectively triggered under dual miRNA (miR-155 and miR-105), and the resulting significantly high FRET detection signal is measured which satisfies the AND logic gate function for the simultaneous detection of dual miRNA allied with breast cancer. HCA-FRET biosensor is successfully applied to detect miR-155 (0.01–1000 nM) and miR-105 (0.01–1000 nM) with limit of detections as 0.02 and 0.05 pM, respectively. HCA-FRET has excellent selectivity for recognizing single base mismatches and interfering miRNAs, and shows good stability in different matrices. The FRET detection signal recorded from the serum samples of breast cancer patients is found much greater than that of the healthy controls, which effectively distinguishes breast cancer patients from the healthy persons. Significance The study reports a simple, unique HCA-FRET biosensor which undergo dual target miR-155 and miR-105 biomarkers detection enabling early breast cancer diagnosis. Compared with the traditional single marker detection or two signal output analysis methods, this strategy allows more accurate diagnosis of breast cancer patients from normal people. More importantly, through testing the clinical serum samples, we found that this method is expected to be used to distinguish breast cancer patients from normal people. Therefore, the proposed method has great potential applications for nucleic acid based clinical diagnostics.

研究领域: 分子生物学 · 医学诊断 · 生物化学
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