Bio-characteristics, tissue expression of miR-375 in hypothalamic-pituitary-ovarian axis and its regulation in reproduction-related diseases DOI Creative Commons
Suxia Sun, Binglei Zhang,

Wanhang Jia

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 9, 2024

Our study concentrated on the expression of miRNA-375 in hypothalamic-pituitary-gonadal axis female Hu sheep. The investigation involved cloning precursor sequence miR-NA-375, followed by comparison with database entries and subsequent Gene Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) enrichment analyses. In our approach, we obtained ovaries, thalamus, cerebellum, brain, uterus, pituitary gland, hypothalamus, pineal gland from fertile but nonpregnant ewes. MiRNA extraction kit was used to extract miRNA above eight tissues. Real-time fluorescent quantitative polymerase chain reaction evaluate role miR-375 hy-pothalamic-pituitary-gonadal axis. results were compared those Anopheles gambiae, Apis mellifera, Bos taurus, Drosophila melanogaster, Danio rerio, Fugu rubripes, Gallus gallus, Homo sapiens, Monodelphis domestica, Macaca mulatta, Mus musculus, Pan troglodytes, Rattus norvegicus, Tetraodon nigroviridis, Xenopus tropicalis miRBase database. It found that oar-miR-375 highly conserved. Notably, significantly higher (p < 0.01) than hypothalamus. also predicting target genes. GO KEGG analyses these predicted genes revealed is 182 biological processes, affects 186 cellular components, participates 184 molecular functions. terms pathway enrichment, linked nine pathways, including Hippo, Wnt, mTOR signaling pathways. This has validated interaction between its gene FZD4, which can be recognized bound produce effects. These findings lead inference may play a crucial regulatory sheep reproduction through Hippo Wnt pathway, laying foundation for further exploration miR-375's this domain.

Language: Английский

Integrative analysis of genomic and epigenomic regulation reveals miRNA mediated tumor heterogeneity and immune evasion in lower grade glioma DOI Creative Commons
Zhen Yang, Xiaocen Liu, Hao Xu

et al.

Communications Biology, Journal Year: 2024, Volume and Issue: 7(1)

Published: July 6, 2024

Abstract The expression dysregulation of microRNAs (miRNA) has been widely reported during cancer development, however, the underling mechanism remains largely unanswered. In present work, we performed a systematic integrative study for genome-wide DNA methylation, copy number variation and miRNA data to identify mechanisms underlying in lower grade glioma. We 719 miRNAs whose was associated with alterations or promoter methylation. Integrative multi-omics analysis revealed four subtypes differing prognoses. These glioma exhibited distinct immune-related characteristics as well clinical genetic features. By construction regulatory network, identified candidate immune evasion response immunotherapy. Finally, eight prognosis related were validated promote cell migration, invasion proliferation through vitro experiments. Our reveals crosstalk among regulation glioma, could have important implications patient stratification development biomarkers immunotherapy approaches.

Language: Английский

Citations

9
Mechanisms and technologies in cancer epigenetics DOI Creative Commons
Zaki A. Sherif, Olorunseun O. Ogunwobi, Habtom W. Ressom

et al.

Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 14

Published: Jan. 7, 2025

Cancer's epigenetic landscape, a labyrinthine tapestry of molecular modifications, has long captivated researchers with its profound influence on gene expression and cellular fate. This review discusses the intricate mechanisms underlying cancer epigenetics, unraveling complex interplay between DNA methylation, histone chromatin remodeling, non-coding RNAs. We navigate through tumultuous seas dysregulation, exploring how these processes conspire to silence tumor suppressors unleash oncogenic potential. The narrative pivots cutting-edge technologies, revolutionizing our ability decode epigenome. From granular insights single-cell epigenomics holistic view offered by multi-omics approaches, we examine tools are reshaping understanding heterogeneity evolution. also highlights emerging techniques, such as spatial long-read sequencing, which promise unveil hidden dimensions regulation. Finally, probed transformative potential CRISPR-based epigenome editing computational analysis transmute raw data into biological insights. study seeks synthesize comprehensive yet nuanced contemporary landscape future directions research.

Language: Английский

Citations

0
Mechanistic insights into CDCA gene family-mediated glioblastoma progression: implications for diagnosis, prognosis, and therapeutic targeting DOI Creative Commons
Chang Liu

Hereditas, Journal Year: 2025, Volume and Issue: 162(1)

Published: March 20, 2025

Abstract Background Glioblastoma (GBM) is a highly aggressive brain tumor characterized by poor prognosis and limited therapeutic options. Understanding the molecular mechanisms driving GBM progression essential for developing more effective diagnostic approaches. Specifically, investigating Cell Division Cycle-Associated (CDCA) genes offers new perspectives on cell cycle regulation proliferation of cells, which are key factors in growth resistance to treatment. These have not been extensively studied GBM, making them promising area targeted research potential interventions. This project was launched elucidate pathogenic, diagnostic, roles CDCA GBM. Methodology Total RNA extracted from lines followed RT-qPCR analyze expression genes. The validation, prognostic significance, mutational analysis were performed using various databases. Functional assays, including gene knockdown, colony formation, proliferation, wound healing, conducted U87MG cells assess role CDCA7 CDCA8 Results 12 6 normal revealed significant overexpression these ROC curve demonstrated excellent potential, with AUC values 1 most indicates that effectively distinguishes cells. Validation additional TCGA data confirmed upregulation tumors, association cancer-related pathways. Survival showed higher correlated patients. Mutation, CNV, methylation analyses alterations genes, further supporting their Additionally, linked immune modulation cycle-related functions, suggesting involvement evasion proliferation. Knockdown experiments reduction migration, highlighting as targets. Conclusion Overall, our findings suggest could serve both biomarkers targets

Language: Английский

Citations

0
CAR T Cells in Lung Cancer: Targeting Tumor-Associated Antigens to Revolutionize Immunotherapy DOI
Sattam Khulaif Alenezi

Pathology - Research and Practice, Journal Year: 2025, Volume and Issue: unknown, P. 155947 - 155947

Published: March 1, 2025

Language: Английский

Citations

0
New Machine Learning Method for Medical Image and Microarray Data Analysis for Heart Disease Classification DOI
Jinglan Guo, James C. Liao, Y. H. Chen

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Microarray technology has become a vital tool in cardiovascular research, enabling the simultaneous analysis of thousands gene expressions. This capability provides robust foundation for heart disease classification and biomarker discovery. However, high dimensionality, noise, sparsity microarray data present significant challenges effective analysis. Gene selection, which aims to identify most relevant subset genes, is crucial preprocessing step improving accuracy, reducing computational complexity, enhancing biological interpretability. Traditional selection methods often fall short capturing complex, nonlinear interactions among limiting their effectiveness tasks. In this study, we propose novel framework that leverages deep neural networks (DNNs) optimizing using data. DNNs, known ability model patterns, are integrated with feature techniques address high-dimensional The proposed method, DeepGeneNet (DGN), combines DNN-based into unified framework, ensuring performance meaningful insights underlying mechanisms. Additionally, incorporates hyperparameter optimization innovative U-Net segmentation further enhance accuracy. These optimizations enable DGN deliver scalable results, outperforming traditional both predictive accuracy Experimental results demonstrate approach significantly improves compared other methods. By focusing on interplay between learning, work advances field genomics, providing interpretable future applications.

Language: Английский

Citations

0
Roles of anoikis in hepatocellular carcinoma therapy and the assessment of anoikis-regulatory molecules as therapeutic targets DOI
Hongyu Wang, Ya‐Wen Yang, Gan Zhang

et al.

Naunyn-Schmiedeberg s Archives of Pharmacology, Journal Year: 2025, Volume and Issue: unknown

Published: April 4, 2025

Language: Английский

Citations

0
Tumor-educated platelets in lung cancer DOI
Md Sadique Hussain, Ehssan Moglad, Ahsas Goyal

et al.

Clinica Chimica Acta, Journal Year: 2025, Volume and Issue: unknown, P. 120307 - 120307

Published: April 1, 2025

Language: Английский

Citations

0
Sonoporation with Echogenic Liposomes: The Evaluation of Glioblastoma Applicability Using In Vivo Xenograft Models DOI Creative Commons
Ju Hyun Park,

Yoo-Kyung Lee,

Hana Lee

et al.

Pharmaceutics, Journal Year: 2025, Volume and Issue: 17(4), P. 509 - 509

Published: April 11, 2025

Objective: In previous studies, echogenic liposomes with liquid and gas cores were analyzed as alternative carriers of drug molecules cavitation nuclei for sonoporation. The possibility small interfering RNA (si-RNA) encapsulation has also been presented. this study, the usability seeds was evaluated using an in vivo model. Methods: A doxorubicin-loaded liposome synthesized a carrier. size distribution number formed measured. Five comparative experiments conducted without liposomes, results statically analyzed. Results: Sonoporation at 3.05 W/cm2 ISPTA ultrasound sonication 0.98 MHz average tumor volume growth less than 25% that following simple administration doxorubicin. Considering p-value between two groups is approximately 0.03, effectively applicable Conclusions: Although further studies are needed to clarify responses incident fields, proposed appears be promising nuclei/carrier

Language: Английский

Citations

0
Bio-characteristics, tissue expression of miR-375 in hypothalamic-pituitary-ovarian axis and its regulation in reproduction-related diseases DOI Creative Commons
Suxia Sun, Binglei Zhang,

Wanhang Jia

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 9, 2024

Our study concentrated on the expression of miRNA-375 in hypothalamic-pituitary-gonadal axis female Hu sheep. The investigation involved cloning precursor sequence miR-NA-375, followed by comparison with database entries and subsequent Gene Ontology (GO) Kyoto Encyclopedia Genes Genomes (KEGG) enrichment analyses. In our approach, we obtained ovaries, thalamus, cerebellum, brain, uterus, pituitary gland, hypothalamus, pineal gland from fertile but nonpregnant ewes. MiRNA extraction kit was used to extract miRNA above eight tissues. Real-time fluorescent quantitative polymerase chain reaction evaluate role miR-375 hy-pothalamic-pituitary-gonadal axis. results were compared those Anopheles gambiae, Apis mellifera, Bos taurus, Drosophila melanogaster, Danio rerio, Fugu rubripes, Gallus gallus, Homo sapiens, Monodelphis domestica, Macaca mulatta, Mus musculus, Pan troglodytes, Rattus norvegicus, Tetraodon nigroviridis, Xenopus tropicalis miRBase database. It found that oar-miR-375 highly conserved. Notably, significantly higher (p < 0.01) than hypothalamus. also predicting target genes. GO KEGG analyses these predicted genes revealed is 182 biological processes, affects 186 cellular components, participates 184 molecular functions. terms pathway enrichment, linked nine pathways, including Hippo, Wnt, mTOR signaling pathways. This has validated interaction between its gene FZD4, which can be recognized bound produce effects. These findings lead inference may play a crucial regulatory sheep reproduction through Hippo Wnt pathway, laying foundation for further exploration miR-375's this domain.

Language: Английский

Citations

0