6-Gingerol modulates miRNAs and PODXL gene expression via methyltransferase enzymes in NB4 cells: an in silico and in vitro study Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.1038/s41598-024-68069-4
This investigation delves into the influence of predicted microRNAs on DNA methyltransferases (DNMTs) and the PODXL gene within the NB4 cell line, aiming to elucidate their roles in the pathogenesis of acute myeloid leukemia (AML). A comprehensive methodological framework was adopted to explore the therapeutic implications of 6-gingerol on DNMTs. This encompassed a suite of bioinformatics tools for protein structure prediction, docking, molecular dynamics, and ADMET profiling, alongside empirical assessments of miRNA and PODXL expression levels. Such a multifaceted strategy facilitated an in-depth understanding of 6-gingerol's potential efficacy in DNMT modulation. The findings indicate a nuanced interplay where 6-gingerol administration modulated miRNA expression levels, decreasing in DNMT1 and DNMT3A expression in NB4 cells. This alteration indirectly influenced PODXL expression, contributing to the manifestation of oncogenic phenotypes. The overexpression of DNMT1 and DNMT3A in NB4 cells may contribute to AML, which appears modulable via microRNAs such as miR-193a and miR-200c. Post-treatment with 6-gingerol, DNMT1 and DNMT3A expression alterations were observed, culminating in the upregulation of miR-193a and miR-200c. This cascade effect led to the dysregulation of tumor suppressor genes in cancer cells, including downregulation of PODXL, and the emergence of cancerous traits. These insights underscore the therapeutic promise of 6-gingerol in targeting DNMTs and microRNAs within the AML context.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-024-68069-4
- https://www.nature.com/articles/s41598-024-68069-4.pdf
- OA Status
- gold
- Cited By
- 3
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401390474
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4401390474Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-024-68069-4Digital Object Identifier
- Title
-
6-Gingerol modulates miRNAs and PODXL gene expression via methyltransferase enzymes in NB4 cells: an in silico and in vitro studyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-08-07Full publication date if available
- Authors
-
Ali Afgar, Mahdiyeh Ramezani Zadeh Kermani, Athareh Pabarja, Amir Reza Afgar, Batoul Kavyani, Hossein Arezoomand, Saeed Zanganeh, Mohammad‐Javad Sanaei, Mahla Sattarzadeh Bardsiri, Reza VahidiList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-024-68069-4Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-024-68069-4.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41598-024-68069-4.pdfDirect OA link when available
- Concepts
-
DNMT1, In silico, Methyltransferase, microRNA, Downregulation and upregulation, Biology, Gene expression, Cell biology, Cancer research, DNA methyltransferase, Gene, Methylation, GeneticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3Per-year citation counts (last 5 years)
- References (count)
-
38Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.cells. | 112 |
| abstract_inverted_index.delves | 2 |
| abstract_inverted_index.effect | 169 |
| abstract_inverted_index.within | 17, 204 |
| abstract_inverted_index.(DNMTs) | 12 |
| abstract_inverted_index.adopted | 40 |
| abstract_inverted_index.appears | 140 |
| abstract_inverted_index.cascade | 168 |
| abstract_inverted_index.explore | 42 |
| abstract_inverted_index.levels, | 103 |
| abstract_inverted_index.levels. | 75 |
| abstract_inverted_index.myeloid | 32 |
| abstract_inverted_index.nuanced | 95 |
| abstract_inverted_index.promise | 196 |
| abstract_inverted_index.protein | 58 |
| abstract_inverted_index.traits. | 190 |
| abstract_inverted_index.context. | 207 |
| abstract_inverted_index.docking, | 61 |
| abstract_inverted_index.efficacy | 87 |
| abstract_inverted_index.findings | 92 |
| abstract_inverted_index.in-depth | 82 |
| abstract_inverted_index.indicate | 93 |
| abstract_inverted_index.insights | 192 |
| abstract_inverted_index.leukemia | 33 |
| abstract_inverted_index.miR-193a | 146, 164 |
| abstract_inverted_index.strategy | 79 |
| abstract_inverted_index.alongside | 67 |
| abstract_inverted_index.cancerous | 189 |
| abstract_inverted_index.dynamics, | 63 |
| abstract_inverted_index.elucidate | 24 |
| abstract_inverted_index.emergence | 187 |
| abstract_inverted_index.empirical | 68 |
| abstract_inverted_index.framework | 38 |
| abstract_inverted_index.including | 181 |
| abstract_inverted_index.influence | 5 |
| abstract_inverted_index.interplay | 96 |
| abstract_inverted_index.miR-200c. | 148, 166 |
| abstract_inverted_index.microRNAs | 8, 143, 203 |
| abstract_inverted_index.modulable | 141 |
| abstract_inverted_index.modulated | 100 |
| abstract_inverted_index.molecular | 62 |
| abstract_inverted_index.observed, | 158 |
| abstract_inverted_index.oncogenic | 124 |
| abstract_inverted_index.potential | 86 |
| abstract_inverted_index.predicted | 7 |
| abstract_inverted_index.structure | 59 |
| abstract_inverted_index.targeting | 200 |
| abstract_inverted_index.6-gingerol | 47, 98, 198 |
| abstract_inverted_index.alteration | 114 |
| abstract_inverted_index.contribute | 136 |
| abstract_inverted_index.decreasing | 104 |
| abstract_inverted_index.expression | 74, 102, 109, 155 |
| abstract_inverted_index.indirectly | 115 |
| abstract_inverted_index.influenced | 116 |
| abstract_inverted_index.profiling, | 66 |
| abstract_inverted_index.suppressor | 176 |
| abstract_inverted_index.underscore | 193 |
| abstract_inverted_index.6-gingerol, | 151 |
| abstract_inverted_index.alterations | 156 |
| abstract_inverted_index.assessments | 69 |
| abstract_inverted_index.culminating | 159 |
| abstract_inverted_index.encompassed | 51 |
| abstract_inverted_index.expression, | 118 |
| abstract_inverted_index.facilitated | 80 |
| abstract_inverted_index.modulation. | 90 |
| abstract_inverted_index.phenotypes. | 125 |
| abstract_inverted_index.prediction, | 60 |
| abstract_inverted_index.therapeutic | 44, 195 |
| abstract_inverted_index.6-gingerol's | 85 |
| abstract_inverted_index.contributing | 119 |
| abstract_inverted_index.implications | 45 |
| abstract_inverted_index.multifaceted | 78 |
| abstract_inverted_index.pathogenesis | 29 |
| abstract_inverted_index.upregulation | 162 |
| abstract_inverted_index.comprehensive | 36 |
| abstract_inverted_index.dysregulation | 173 |
| abstract_inverted_index.investigation | 1 |
| abstract_inverted_index.manifestation | 122 |
| abstract_inverted_index.understanding | 83 |
| abstract_inverted_index.Post-treatment | 149 |
| abstract_inverted_index.administration | 99 |
| abstract_inverted_index.bioinformatics | 55 |
| abstract_inverted_index.downregulation | 182 |
| abstract_inverted_index.methodological | 37 |
| abstract_inverted_index.overexpression | 127 |
| abstract_inverted_index.methyltransferases | 11 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 10 |
| citation_normalized_percentile.value | 0.84098645 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |