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Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer
Progesterone receptor (PR) isoforms, PRA and PRB, act in a progesterone-independent and dependent manner to differentially modulate the biology of breast cancer cells. Here we show that the differences in PRA and PRB structure facilitate the binding of common and distinct protein interacting partner...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042118/ https://www.ncbi.nlm.nih.gov/pubmed/33846359 http://dx.doi.org/10.1038/s41597-021-00884-0 |
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author | Pateetin, Prangwan Hutvagner, Gyorgy Bajan, Sarah Padula, Matthew P. McGowan, Eileen M. Boonyaratanakornkit, Viroj |
author_facet | Pateetin, Prangwan Hutvagner, Gyorgy Bajan, Sarah Padula, Matthew P. McGowan, Eileen M. Boonyaratanakornkit, Viroj |
author_sort | Pateetin, Prangwan |
collection | PubMed |
description | Progesterone receptor (PR) isoforms, PRA and PRB, act in a progesterone-independent and dependent manner to differentially modulate the biology of breast cancer cells. Here we show that the differences in PRA and PRB structure facilitate the binding of common and distinct protein interacting partners affecting the downstream signaling events of each PR-isoform. Tet-inducible HA-tagged PRA or HA-tagged PRB constructs were expressed in T47DC42 (PR/ER negative) breast cancer cells. Affinity purification coupled with stable isotope labeling of amino acids in cell culture (SILAC) mass spectrometry technique was performed to comprehensively study PRA and PRB interacting partners in both unliganded and liganded conditions. To validate our findings, we applied both forward and reverse SILAC conditions to effectively minimize experimental errors. These datasets will be useful in investigating PRA- and PRB-specific molecular mechanisms and as a database for subsequent experiments to identify novel PRA and PRB interacting proteins that differentially mediated different biological functions in breast cancer. |
format | Online Article Text |
id | pubmed-8042118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80421182021-04-28 Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer Pateetin, Prangwan Hutvagner, Gyorgy Bajan, Sarah Padula, Matthew P. McGowan, Eileen M. Boonyaratanakornkit, Viroj Sci Data Data Descriptor Progesterone receptor (PR) isoforms, PRA and PRB, act in a progesterone-independent and dependent manner to differentially modulate the biology of breast cancer cells. Here we show that the differences in PRA and PRB structure facilitate the binding of common and distinct protein interacting partners affecting the downstream signaling events of each PR-isoform. Tet-inducible HA-tagged PRA or HA-tagged PRB constructs were expressed in T47DC42 (PR/ER negative) breast cancer cells. Affinity purification coupled with stable isotope labeling of amino acids in cell culture (SILAC) mass spectrometry technique was performed to comprehensively study PRA and PRB interacting partners in both unliganded and liganded conditions. To validate our findings, we applied both forward and reverse SILAC conditions to effectively minimize experimental errors. These datasets will be useful in investigating PRA- and PRB-specific molecular mechanisms and as a database for subsequent experiments to identify novel PRA and PRB interacting proteins that differentially mediated different biological functions in breast cancer. Nature Publishing Group UK 2021-04-12 /pmc/articles/PMC8042118/ /pubmed/33846359 http://dx.doi.org/10.1038/s41597-021-00884-0 Text en © The Author(s) 2021, corrected publication 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Pateetin, Prangwan Hutvagner, Gyorgy Bajan, Sarah Padula, Matthew P. McGowan, Eileen M. Boonyaratanakornkit, Viroj Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer |
title | Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer |
title_full | Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer |
title_fullStr | Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer |
title_full_unstemmed | Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer |
title_short | Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer |
title_sort | triple silac identified progestin-independent and dependent pra and prb interacting partners in breast cancer |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8042118/ https://www.ncbi.nlm.nih.gov/pubmed/33846359 http://dx.doi.org/10.1038/s41597-021-00884-0 |
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