Identification of Novel MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating the EGFR-ADAM17 Axis: An In Silico Analysis
Cancer patients contracting SARS-CoV-2 encounter additional challenges due to inflammatory bursts and lymphopenia, which may aggravate breast cancer prognosis. In this in-silico analysis, we identified the potential of miRNAs as new therapeutic targets to treat breast cancer patients infected with C...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| التنسيق: | article |
| منشور في: |
2021
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/11073/21486 |
| الوسوم: |
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| _version_ | 1864513438443634688 |
|---|---|
| author | Mukhopadhyay, Debasmita |
| author2 | AlSawaftah, Nour Majdi Husseini, Ghaleb |
| author2_role | author author |
| author_facet | Mukhopadhyay, Debasmita AlSawaftah, Nour Majdi Husseini, Ghaleb |
| author_role | author |
| dc.creator.none.fl_str_mv | Mukhopadhyay, Debasmita AlSawaftah, Nour Majdi Husseini, Ghaleb |
| dc.date.none.fl_str_mv | 2021-05-24T07:03:52Z 2021-05-24T07:03:52Z 2021 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | Mukhopadhyay, D., AlSawaftah, N., & Husseini, G. A. (2020). Identification of Novel MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating the EGFR-ADAM17 Axis: An In Silico Analysis. ACS Pharmacology & Translational Science, 4(1), 396–399. https://doi.org/10.1021/acsptsci.0c00199 2575-9108 http://hdl.handle.net/11073/21486 10.1021/acsptsci.0c00199 |
| dc.language.none.fl_str_mv | en_US |
| dc.publisher.none.fl_str_mv | American Chemical Society |
| dc.relation.none.fl_str_mv | https://doi.org/10.1021/acsptsci.0c00199 |
| dc.subject.none.fl_str_mv | SARS-CoV-2 MicroRNA ADAM17 Epidermal growth factor receptor (EGFR) Breast cancer |
| dc.title.none.fl_str_mv | Identification of Novel MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating the EGFR-ADAM17 Axis: An In Silico Analysis |
| dc.type.none.fl_str_mv | Peer-Reviewed Preprint info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | Cancer patients contracting SARS-CoV-2 encounter additional challenges due to inflammatory bursts and lymphopenia, which may aggravate breast cancer prognosis. In this in-silico analysis, we identified the potential of miRNAs as new therapeutic targets to treat breast cancer patients infected with COVID-19 via the regulation of ADAM17 and EGFR expression microRNAs. |
| format | article |
| id | aus_57918c87a7645e20f840a337b3777922 |
| identifier_str_mv | Mukhopadhyay, D., AlSawaftah, N., & Husseini, G. A. (2020). Identification of Novel MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating the EGFR-ADAM17 Axis: An In Silico Analysis. ACS Pharmacology & Translational Science, 4(1), 396–399. https://doi.org/10.1021/acsptsci.0c00199 2575-9108 10.1021/acsptsci.0c00199 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/21486 |
| publishDate | 2021 |
| publisher.none.fl_str_mv | American Chemical Society |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Identification of Novel MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating the EGFR-ADAM17 Axis: An In Silico AnalysisMukhopadhyay, DebasmitaAlSawaftah, Nour MajdiHusseini, GhalebSARS-CoV-2MicroRNAADAM17Epidermal growth factor receptor (EGFR)Breast cancerCancer patients contracting SARS-CoV-2 encounter additional challenges due to inflammatory bursts and lymphopenia, which may aggravate breast cancer prognosis. In this in-silico analysis, we identified the potential of miRNAs as new therapeutic targets to treat breast cancer patients infected with COVID-19 via the regulation of ADAM17 and EGFR expression microRNAs.American Chemical Society2021-05-24T07:03:52Z2021-05-24T07:03:52Z2021Peer-ReviewedPreprintinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfMukhopadhyay, D., AlSawaftah, N., & Husseini, G. A. (2020). Identification of Novel MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating the EGFR-ADAM17 Axis: An In Silico Analysis. ACS Pharmacology & Translational Science, 4(1), 396–399. https://doi.org/10.1021/acsptsci.0c001992575-9108http://hdl.handle.net/11073/2148610.1021/acsptsci.0c00199en_UShttps://doi.org/10.1021/acsptsci.0c00199oai:repository.aus.edu:11073/214862024-08-22T12:06:17Z |
| spellingShingle | Identification of Novel MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating the EGFR-ADAM17 Axis: An In Silico Analysis Mukhopadhyay, Debasmita SARS-CoV-2 MicroRNA ADAM17 Epidermal growth factor receptor (EGFR) Breast cancer |
| status_str | publishedVersion |
| title | Identification of Novel MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating the EGFR-ADAM17 Axis: An In Silico Analysis |
| title_full | Identification of Novel MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating the EGFR-ADAM17 Axis: An In Silico Analysis |
| title_fullStr | Identification of Novel MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating the EGFR-ADAM17 Axis: An In Silico Analysis |
| title_full_unstemmed | Identification of Novel MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating the EGFR-ADAM17 Axis: An In Silico Analysis |
| title_short | Identification of Novel MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating the EGFR-ADAM17 Axis: An In Silico Analysis |
| title_sort | Identification of Novel MicroRNAs as Promising Therapeutics for SARS-CoV-2 by Regulating the EGFR-ADAM17 Axis: An In Silico Analysis |
| topic | SARS-CoV-2 MicroRNA ADAM17 Epidermal growth factor receptor (EGFR) Breast cancer |
| url | http://hdl.handle.net/11073/21486 |