Table 1_In-silico pharmacological insights into the therapeutic potential of microRNAs for microplastic-associated cancers.docx
<p>Microplastics (MPs) are increasingly implicated in cancer biology through effects on gene expression, stress responses, and treatment susceptibility; however, causal links remain provisional. We systematically screened PubMed and Google Scholar (through September 2025) to identify cancer-re...
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Ավելացրեք ցուցիչ
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| _version_ | 1849927636000702464 |
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| author | Akmaral Baspakova (17961710) |
| author2 | Afshin Zare (18096433) Nadiar M. Mussin (17961716) Nader Tanideh (10439793) Kulyash R. Zhilisbayeva (17961731) Ramazon Safarzoda Sharoffidin (22629836) Roza Suleimenova (22518749) Gulden Yelgondina (22518752) Akmeiir E. Kaliyeva (22679270) Aigerim A. Umbetova (17961734) Ainur Zinaliyeva (22679273) Amin Tamadon (6313595) |
| author2_role | author author author author author author author author author author author |
| author_facet | Akmaral Baspakova (17961710) Afshin Zare (18096433) Nadiar M. Mussin (17961716) Nader Tanideh (10439793) Kulyash R. Zhilisbayeva (17961731) Ramazon Safarzoda Sharoffidin (22629836) Roza Suleimenova (22518749) Gulden Yelgondina (22518752) Akmeiir E. Kaliyeva (22679270) Aigerim A. Umbetova (17961734) Ainur Zinaliyeva (22679273) Amin Tamadon (6313595) |
| author_role | author |
| dc.creator.none.fl_str_mv | Akmaral Baspakova (17961710) Afshin Zare (18096433) Nadiar M. Mussin (17961716) Nader Tanideh (10439793) Kulyash R. Zhilisbayeva (17961731) Ramazon Safarzoda Sharoffidin (22629836) Roza Suleimenova (22518749) Gulden Yelgondina (22518752) Akmeiir E. Kaliyeva (22679270) Aigerim A. Umbetova (17961734) Ainur Zinaliyeva (22679273) Amin Tamadon (6313595) |
| dc.date.none.fl_str_mv | 2025-11-25T06:24:45Z |
| dc.identifier.none.fl_str_mv | 10.3389/fcell.2025.1699693.s001 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/dataset/Table_1_In-silico_pharmacological_insights_into_the_therapeutic_potential_of_microRNAs_for_microplastic-associated_cancers_docx/30704027 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Cell Biology microplastics microRNAs cancer therapy resistance in silico RNAhybrid |
| dc.title.none.fl_str_mv | Table 1_In-silico pharmacological insights into the therapeutic potential of microRNAs for microplastic-associated cancers.docx |
| dc.type.none.fl_str_mv | Dataset info:eu-repo/semantics/publishedVersion dataset |
| description | <p>Microplastics (MPs) are increasingly implicated in cancer biology through effects on gene expression, stress responses, and treatment susceptibility; however, causal links remain provisional. We systematically screened PubMed and Google Scholar (through September 2025) to identify cancer-related genes reported to be altered by MP exposure and then evaluated microRNAs (miRNAs) with anticancer activity that may target those genes. Mature miRNA sequences were retrieved from RNAcentral and assessed against MP-altered genes using RNAhybrid for target-site prediction and minimum free-energy (mfe) hybridization. MPs were reported to modulate genes across multiple tumor types—including breast, gastric, liver, lung, colorectal, cervical, pancreatic, and skin. In silico analyses identified candidate miRNAs with favorable mfe values for these targets, including miR-483-3p, miR-365, miR-331-3p, miR-138-5p, miR-760, miR-1-3p, miR-665, miR-490-3p, miR-370-3p, miR-520a, miR-638, miR-559, miR-532-3p, miR-593-5p, and miR-29b. These interactions suggest putative avenues to counter MP-associated oncogenic programs and therapy resistance. Because mfe predictions do not establish functional regulation, all findings should be interpreted as hypothesis-generating. Priorities for validation include reporter assays, gene/protein modulation, phenotypic rescue, and in vivo testing in MP-exposed models. Collectively, our results nominate miRNAs as candidate tools to interrogate and potentially mitigate MP-associated carcinogenic mechanisms.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_80e138c99b0f879f8517ada4c9f4838c |
| identifier_str_mv | 10.3389/fcell.2025.1699693.s001 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/30704027 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Table 1_In-silico pharmacological insights into the therapeutic potential of microRNAs for microplastic-associated cancers.docxAkmaral Baspakova (17961710)Afshin Zare (18096433)Nadiar M. Mussin (17961716)Nader Tanideh (10439793)Kulyash R. Zhilisbayeva (17961731)Ramazon Safarzoda Sharoffidin (22629836)Roza Suleimenova (22518749)Gulden Yelgondina (22518752)Akmeiir E. Kaliyeva (22679270)Aigerim A. Umbetova (17961734)Ainur Zinaliyeva (22679273)Amin Tamadon (6313595)Cell BiologymicroplasticsmicroRNAscancertherapy resistancein silicoRNAhybrid<p>Microplastics (MPs) are increasingly implicated in cancer biology through effects on gene expression, stress responses, and treatment susceptibility; however, causal links remain provisional. We systematically screened PubMed and Google Scholar (through September 2025) to identify cancer-related genes reported to be altered by MP exposure and then evaluated microRNAs (miRNAs) with anticancer activity that may target those genes. Mature miRNA sequences were retrieved from RNAcentral and assessed against MP-altered genes using RNAhybrid for target-site prediction and minimum free-energy (mfe) hybridization. MPs were reported to modulate genes across multiple tumor types—including breast, gastric, liver, lung, colorectal, cervical, pancreatic, and skin. In silico analyses identified candidate miRNAs with favorable mfe values for these targets, including miR-483-3p, miR-365, miR-331-3p, miR-138-5p, miR-760, miR-1-3p, miR-665, miR-490-3p, miR-370-3p, miR-520a, miR-638, miR-559, miR-532-3p, miR-593-5p, and miR-29b. These interactions suggest putative avenues to counter MP-associated oncogenic programs and therapy resistance. Because mfe predictions do not establish functional regulation, all findings should be interpreted as hypothesis-generating. Priorities for validation include reporter assays, gene/protein modulation, phenotypic rescue, and in vivo testing in MP-exposed models. Collectively, our results nominate miRNAs as candidate tools to interrogate and potentially mitigate MP-associated carcinogenic mechanisms.</p>2025-11-25T06:24:45ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.3389/fcell.2025.1699693.s001https://figshare.com/articles/dataset/Table_1_In-silico_pharmacological_insights_into_the_therapeutic_potential_of_microRNAs_for_microplastic-associated_cancers_docx/30704027CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/307040272025-11-25T06:24:45Z |
| spellingShingle | Table 1_In-silico pharmacological insights into the therapeutic potential of microRNAs for microplastic-associated cancers.docx Akmaral Baspakova (17961710) Cell Biology microplastics microRNAs cancer therapy resistance in silico RNAhybrid |
| status_str | publishedVersion |
| title | Table 1_In-silico pharmacological insights into the therapeutic potential of microRNAs for microplastic-associated cancers.docx |
| title_full | Table 1_In-silico pharmacological insights into the therapeutic potential of microRNAs for microplastic-associated cancers.docx |
| title_fullStr | Table 1_In-silico pharmacological insights into the therapeutic potential of microRNAs for microplastic-associated cancers.docx |
| title_full_unstemmed | Table 1_In-silico pharmacological insights into the therapeutic potential of microRNAs for microplastic-associated cancers.docx |
| title_short | Table 1_In-silico pharmacological insights into the therapeutic potential of microRNAs for microplastic-associated cancers.docx |
| title_sort | Table 1_In-silico pharmacological insights into the therapeutic potential of microRNAs for microplastic-associated cancers.docx |
| topic | Cell Biology microplastics microRNAs cancer therapy resistance in silico RNAhybrid |