Identification of cancer stemness related miRNA(s) using integrated bioinformatics analysis and in vitro validation

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dc.contributor.authorPrajapati, Kumari Sunita
dc.contributor.authorShuaib, Mohd
dc.contributor.authorKushwaha, Prem Prakash
dc.contributor.authorSingh, Atul Kumar
dc.contributor.authorKumar, Shsahank
dc.date.accessioned2024-01-16T14:23:10Z
dc.date.accessioned2024-08-13T10:34:08Z
dc.date.available2024-01-16T14:23:10Z
dc.date.available2024-08-13T10:34:08Z
dc.date.issued2021-09-23T00:00:00
dc.description.abstractThe stemness property of cells allows them to sustain their lineage, differentiation, proliferation, and regeneration. MicroRNAs are small non-coding RNAs known to regulate the stemness property of cells by regulating the expression of stem cell signaling pathway proteins at mRNA level. Dysregulated miRNA expression and associated stem cell signaling pathways in normal stem cells give rise to cancer stem cells. Thus, the present study was aimed to identify the miRNAs involved in the regulation of major stem cell signaling pathways. The proteins (n = 36) involved in the signaling pathways viz., Notch, Wnt, JAK-STAT, and Hedgehog which is associated with the stemness property was taken into the consideration. The miRNAs, having binding sites for the targeted protein-encoding gene were predicted using an online tool (TargetScan) and the common miRNA among the test pathways were identified using Venn diagram analysis. A total of 22 common miRNAs (including 8 non-studied miRNAs) were identified which were subjected to target predictions, KEGG pathway, and gene ontology (GO) analysis to study their potential involvement in the stemness process. Further, we studied the clinical relevance of the non-studied miRNAs by performing the survival analysis and their expression levels in clinical breast cancer patients using the TCGA database. The identified miRNAs showed overall poor survival in breast cancer patients. The miR-6844 showed significantly high expression in various clinical subgroups of invasive breast cancer patients compared with the normal samples. The expression levels of identified miRNA(s) were validated in breast normal, luminal A, triple-negative, and stem cells in vitro models using qRT-PCR analysis. Further treatment with the phytochemical showed excellent down regulation of the lead miRNA. Overall the study first time reports the association of four miRNAs (miR-6791, miR-4419a, miR-4251 and miR-6844) with breast cancer stemness. � 2021, King Abdulaziz City for Science and Technology.en_US
dc.identifier.doi10.1007/s13205-021-02994-3
dc.identifier.issn2190572X
dc.identifier.urihttps://doi.org/10.1007/s13205-021-02994-3
dc.identifier.urihttp://10.2.3.109/handle/32116/2861
dc.language.isoen_USen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.subjectBreast canceren_US
dc.subjectCancer stemnessen_US
dc.subjectMammosphereen_US
dc.subjectmiRNAen_US
dc.subjectPhytochemicalen_US
dc.titleIdentification of cancer stemness related miRNA(s) using integrated bioinformatics analysis and in vitro validationen_US
dc.title.journal3 Biotechen_US
dc.typeArticleen_US
dc.type.accesstypeOpen Accessen_US

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Biochemistry And Microbial Sciences - Research Publications