Frontiers in Molecular Neuroscience, Год журнала: 2023, Номер 16
Опубликована: Март 13, 2023
EDITORIAL article Front. Mol. Neurosci., 13 March 2023Sec. Molecular Signalling and Pathways Volume 16 - 2023 | https://doi.org/10.3389/fnmol.2023.1166943
Язык: Английский
Biosensors and Bioelectronics, Год журнала: 2025, Номер 273, С. 117190 - 117190
Опубликована: Янв. 21, 2025
Язык: Английский
Процитировано
1
Clinica Chimica Acta, Год журнала: 2025, Номер 569, С. 120187 - 120187
Опубликована: Фев. 10, 2025
Язык: Английский
Процитировано
1
Biomedicines, Год журнала: 2023, Номер 11(6), С. 1704 - 1704
Опубликована: Июнь 13, 2023
MicroRNAs are non-coding transcripts that, thanks to the ability regulate mRNA of target genes, can affect expression genes encoding tumor suppressors and oncogenes. They control many important cellular processes, including apoptosis, differentiation, growth, division, metabolism. Therefore, miRNAs play an role in development cancers, gynecological cancers. Ovarian cancer, endometrial cervical vulvar cancer most common cancers women a frequent cause death. The heterogeneity pathogenesis these diseases makes diagnostic process significant obstacle for modern medicine. To date, studies have been carried out, which particular attention has paid molecular pathomechanism diseases, with emphasis on miRNAs. changed profile miRNAs, influenced promotion proliferation, migration, invasion processes simultaneous inhibition programmed cell death, proven times. Detailed understanding effects above-mentioned will enable potential predictive prognostic biomarkers, as well optimization process.
Язык: Английский
Процитировано
15
International Journal of Molecular Sciences, Год журнала: 2023, Номер 24(18), С. 14123 - 14123
Опубликована: Сен. 15, 2023
In recent years, the study of lymphangiogenesis and fibrotic diseases has made considerable achievements, accumulating evidence indicates that plays a key role in process fibrosis various organs. Although effects on disease have not been conclusively determined due to different models pathological stages organ fibrosis, its importance development is unquestionable. Therefore, we expounded characteristics from source lymphatic endothelial cells (LECs), mechanism fibrosis-related lymphangiogenesis, therapeutic effect intervening fibrosis. We found expansion LECs or networks occurs through original cell budding macrophage differentiation into LECs, vascular growth factor C (VEGFC)/vascular receptor (VEGFR3) pathway central lymphangiogenesis. Lymphatic vessel hyaluronan 1 (LYVE1), as also involved regulation Intervention with improves some extent. complex microenvironment, variety functional cells, inflammatory factors chemokines synergistically antagonistically form network regulate progression disease. Further clarifying formation new may potentially provide strategies for treatment
Язык: Английский
Процитировано
12
Cytotechnology, Год журнала: 2025, Номер 77(2)
Опубликована: Янв. 25, 2025
Язык: Английский
Процитировано
0
Micromachines, Год журнала: 2023, Номер 14(7), С. 1321 - 1321
Опубликована: Июнь 27, 2023
Since its discovery in 1989, RNA interference (RNAi) has become a widely used tool for the vitro downregulation of specific gene expression molecular biological research. This basically involves complementary that binds target sequence to affect transcription or translation process. Currently, various small RNAs, such as interfering (siRNA), micro (miRNA), hairpin (shRNA), and PIWI interacting (piRNA), are available application on cell culture, regulate cells' by mimicking endogenous RNAi-machinery. In addition, several biochemical, physical, viral methods have been established deliver these RNAs into nucleus. each delivery method entail different off-target effects, limitations, compatibilities, it is crucial understand their basic mode action. review intended provide an overview nucleic acids planning, interpreting, troubleshooting RNAi experiments.
Язык: Английский
Процитировано
10
Frontiers in Immunology, Год журнала: 2022, Номер 13
Опубликована: Дек. 2, 2022
MicroRNAs(miRNAs) have emerged as key regulators that control and influence gene expression well multiple biological processes depending on their potential binding sites in human-protein coding genes other unconventional patterns, including for peptides, activating Toll-like receptors a ligand, manners. Accumulating evidence has demonstrated microRNA is tightly regulated during phases of development, differentiation, effector functions immune cells, immunological disorders systemic lupus erythematosus (SLE). This review outlines the biogenesis miRNAs underlying cellular molecular mechanisms. It then summarizes our current knowledge about how regulated. Moreover, an overview was provided concerning role abnormal cells. In particular, we will shed some light recent advances exosome-derived epigenetic pathways pathogenesis SLE.
Язык: Английский
Процитировано
13
Gene, Год журнала: 2024, Номер 938, С. 149166 - 149166
Опубликована: Дек. 18, 2024
Язык: Английский
Процитировано
2
BMC Bioinformatics, Год журнала: 2024, Номер 25(1)
Опубликована: Март 29, 2024
Abstract Background MicroRNA (miRNA) has been shown to play a key role in the occurrence and progression of diseases, making uncovering miRNA-disease associations vital for disease prevention therapy. However, traditional laboratory methods detecting these are slow, strenuous, expensive, uncertain. Although numerous advanced algorithms have emerged, it is still challenge develop more effective explore underlying associations. Results In study, we designed novel approach on basis deep autoencoder combined feature representation (DAE-CFR) predict possible We began by creating integrated similarity matrices miRNAs performing logistic function transformation, balancing positive negative samples with k -means clustering, constructing training samples. Then, was used extract low-dimensional from two kinds representations namely, original association information-based information-based. Next, resulting features each pair regression (LR) classifier infer all unknown interactions. Under five tenfold cross-validation (CV) frameworks, DAE-CFR not only outperformed six popular nine classifiers, but also demonstrated superior performance an additional dataset. Furthermore, case studies three diseases (myocardial infarction, hypertension stroke) confirmed validity practice. Conclusions achieved outstanding predicting can provide evidence inform biological experiments clinical
Язык: Английский
Процитировано
1
Advances in Clinical Medicine, Год журнала: 2024, Номер 14(03), С. 1309 - 1316
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0