Investigating the MicroRNA 10b Regulatory Network: A Bioinformatic Approach to Transcription Factor Binding and Cancer Implications.
DOI:
https://doi.org/10.31185/wjps.514Keywords:
Cancer, JASPAR, miR-10b, PROMO, STRING, Transcription FactorsAbstract
miR-10b, that stands for microRNA 10 in bovine serum protein refers to a subgroup of small molecules belonging to the body especially involved in physiological processes with regard cancers initiation and progression as well cellular differentiation. An understanding of the regulation miR-10b along with identification of its corresponding transcription factors (TFs) that bind to the so-called mirR-10b Regulated-DNA Sequence (MRDS) as well discovering potential targets serves a powerful tool not only in elucidation but also pharmacological arsenal targeting miRNAs. In this work, two bioinformatics databases (JASPAR and PROMO) were used to suggest the putative TFs that can interact with miR-10b MRDS. Most interestingly, among the set of TFs common to both databases were a number have previously associated with histone modification. Since the function of miR-10b is well known, we focused only on TFs with documented associations to regulation by this particular miRNA. These TFs were E2F1, P53, SP1 and NFKB. In an attempt to investigate the regulatory network of TFs involved TFs associated with miR-10b, STRING database was utilized to study the interactions among the identified TFs and their functional enrichments. Through this analysis, we found important Gene Ontology terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways linked with different kinds of cancer, the transcriptional regulation, and gene expression. This study aims to provide an inclusive analysis of TFs that control miR-10b by applying bioinformatics predictions and validate these findings over existing literature evidence. This method will deepen our knowledge towards miR-10b regulatory network and its implications in cancer biology and eventually discovering new treatment interventions.
References
K. Otmani and P. Lewalle, ‘Tumor Suppressor miRNA in Cancer Cells and the Tumor Microenvironment: Mechanism of Deregulation and Clinical Implications’, Oct. 15, 2021, Frontiers Media S.A. doi: 10.3389/fonc.2021.708765.
A. Paschen, J. Baingo, and D. Schadendorf, ‘Expression of stress ligands of the immunoreceptor NKG2D in melanoma: Regulation and clinical significance’, 2014, Urban und Fischer Verlag GmbH und Co. KG. doi: 10.1016/j.ejcb.2014.01.009.
T. Annese, R. Tamma, M. De Giorgis, and D. Ribatti, ‘microRNAs Biogenesis, Functions and Role in Tumor Angiogenesis’, Nov. 27, 2020, Frontiers Media S.A. doi: 10.3389/fonc.2020.581007.
M. Garofalo, G. Condorelli, and C. M. Croce, ‘MicroRNAs in diseases and drug response’, Oct. 2008. doi: 10.1016/j.coph.2008.06.005.
P. Cen, C. Walther, K. W. Finkel, and R. J. Amato, ‘Biomarkers in Oncology and Nephrology’, in Renal Disease in Cancer Patients, Elsevier Inc., 2013, pp. 21–38. doi: 10.1016/B978-0-12-415948-8.00003-9.
A. Raval, J. Joshi, and F. Shah, ‘Significance of metastamiR-10b in breast cancer therapeutics’, Dec. 01, 2022, Springer Science and Business Media Deutschland GmbH. doi: 10.1186/s43046-022-00120-9.
A. L. Liang, T. T. Zhang, N. Zhou, C. Yun Wu, M. H. Lin, and Y. J. Liu, ‘MiRNA-10b sponge: An anti-breast cancer study in vitro’, Oncol Rep, vol. 35, no. 4, pp. 1950–1958, Apr. 2016, doi: 10.3892/or.2016.4596.
F. J. Sheedy, ‘Turning 21: Induction of miR-21 as a key switch in the inflammatory response’, 2015, Frontiers Media S.A. doi: 10.3389/fimmu.2015.00019.
R. G. Zirak, H. Tajik, J. Asadi, P. Hashemian, and H. Javid, ‘The Role of Micro RNAs in Regulating PI3K/AKT Signaling Pathways in Glioblastoma’, Apr. 01, 2022, Iranian Society of Pathology. doi: 10.30699/ijp.2022.539029.2726.
Z. Paroo, X. Ye, S. Chen, and Q. Liu, ‘Phosphorylation of the Human MicroRNA-Generating Complex Mediates MAPK/Erk Signaling’, Cell, vol. 139, no. 1, pp. 112–122, Oct. 2009, doi: 10.1016/j.cell.2009.06.044.
M. A. Abdal Rhida, ‘Bioinformatics Analysis in Predicting Transcription Factors of Robo3 Gene in Drosophila melanogaster’, Biomedical and Pharmacology Journal, vol. 17, no. 2, pp. 725–734, 2024, doi: 10.13005/bpj/2899.
G. L. Blackburn, ‘Metabolic Considerations in Management of Surgical Patients’, Jun. 2011. doi: 10.1016/j.suc.2011.03.001.
D. Hecker et al., ‘Computational tools for inferring transcription factor activity’, Dec. 01, 2023, John Wiley and Sons Inc. doi: 10.1002/pmic.202200462.
J. A. Castro-Mondragon et al., ‘JASPAR 2022: The 9th release of the open-access database of transcription factor binding profiles’, Nucleic Acids Res, vol. 50, no. D1, pp. D165–D173, Jan. 2022, doi: 10.1093/nar/gkab1113.
D. Farré et al., ‘Identification of patterns in biological sequences at the ALGGEN server: PROMO and MALGEN’, Nucleic Acids Res, vol. 31, no. 13, pp. 3651–3653, Jul. 2003, doi: 10.1093/nar/gkg605.
I. Rauluseviciute et al., ‘JASPAR 2024: 20thãnniversary of the open-access database of transcription factor binding profiles’, Nucleic Acids Res, vol. 52, no. D1, pp. D174–D182, Jan. 2024, doi: 10.1093/nar/gkad1059.
D. Szklarczyk et al., ‘The STRING database in 2017: Quality-controlled protein-protein association networks, made broadly accessible’, Nucleic Acids Res, vol. 45, no. D1, pp. D362–D368, 2017, doi: 10.1093/nar/gkw937.
D. Szklarczyk et al., ‘STRING v10: Protein-protein interaction networks, integrated over the tree of life’, Nucleic Acids Res, vol. 43, no. D1, pp. D447–D452, Jan. 2015, doi: 10.1093/nar/gku1003.
N. M. Teplyuk et al., ‘MicroRNA-10b inhibition reduces E2F1-mediated transcription and miR-15/16 activity in glioblastoma’, Oncotarget, vol. 6, no. 6, pp. 3770–3783, 2015, doi: 10.18632/oncotarget.3009.
B. Sun, X. Zhao, J. Ming, X. Liu, D. Liu, and C. Jiang, ‘Stepwise detection and evaluation reveal miR-10b and miR-222 as a remarkable prognostic pair for glioblastoma’, Oncogene, vol. 38, no. 33, pp. 6142–6157, Aug. 2019, doi: 10.1038/s41388-019-0867-6.
X. Ke, Y. Huang, Q. Fu, R. H. Lane, and A. Majnik, ‘Adverse Maternal Environment Alters MicroRNA-10b-5p Expression and Its Epigenetic Profile Concurrently with Impaired Hippocampal Neurogenesis in Male Mouse Hippocampus’, Dev Neurosci, vol. 43, no. 2, pp. 95–105, Jul. 2021, doi: 10.1159/000515750.
X. L. Chen et al., ‘Deregulation of CSMD1 targeted by microRNA-10b drives gastric cancer progression through the NF-κB pathway’, Int J Biol Sci, vol. 15, no. 10, pp. 2075–2086, 2019, doi: 10.7150/ijbs.23802.
A. Bielska, A. Skwarska, A. Kretowski, and M. Niemira, ‘The Role of Androgen Receptor and microRNA Interactions in Androgen‐Dependent Diseases’, Feb. 01, 2022, MDPI. doi: 10.3390/ijms23031553.
R. feng Wang, Z. feng Wang, Q. Cheng, G. ren Wang, and Z. ming Bai, ‘Androgen receptor suppresses prostate cancer cell invasion via altering the miR-4496/β-catenin signals’, Biochem Biophys Res Commun, vol. 504, no. 1, pp. 82–88, Sep. 2018, doi: 10.1016/j.bbrc.2018.08.134.
Y. Gao, W. Xu, C. Guo, and T. Huang, ‘GATA1 regulates the microRNA 328 3p/PIM1 axis via circular RNA ITGB1 to promote renal ischemia/reperfusion injury in HK 2 cells’, Int J Mol Med, vol. 50, no. 2, Aug. 2022, doi: 10.3892/IJMM.2022.5156.
L. C. Dore et al., ‘A GATA-1-regulated microRNA locus essential for erythropoiesis’, Proceedings of the National Academy of Sciences, vol. 105, no. 9, pp. 3333–3338, 2008, doi: 10.1073/pnas.0712312105.
L. Pase, J. E. Layton, W. P. Kloosterman, D. Carradice, P. M. Waterhouse, and G. J. Lieschke, ‘miR-451 regulates zebrafish erythroid maturation in vivo via its target gata2’, Blood, vol. 113, no. 8, pp. 1794–1804, Feb. 2009, doi: 10.1182/blood-2008-05-155812.
J. Chou, S. Provot, and Z. Werb, ‘GATA3 in development and cancer differentiation: Cells GATA have it!’, Jan. 2010. doi: 10.1002/jcp.21943.
J. Li et al., ‘GATA3 Inhibits Viral Infection by Promoting MicroRNA-155 Expression’, J Virol, vol. 96, no. 7, Apr. 2022, doi: 10.1128/jvi.01888-21.
B. Qin et al., ‘MicroRNA-150 targets ELK1 and modulates the apoptosis induced by ox-LDL in endothelial cells’, Mol Cell Biochem, vol. 429, no. 1–2, pp. 45–58, May 2017, doi: 10.1007/s11010-016-2935-3.
V. V. Emmerling, S. Fischer, M. Kleemann, R. Handrick, S. Kochanek, and K. Otte, ‘miR-483 is a self-regulating microRNA and can activate its own expression via USF1 in HeLa cells’, International Journal of Biochemistry and Cell Biology, vol. 80, pp. 81–86, Nov. 2016, doi: 10.1016/j.biocel.2016.09.022.
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