Dataset Information

Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer.

ABSTRACT: 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.

SUBMITTER: Pateetin P

PROVIDER: S-EPMC8042118 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature

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Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer.

Pateetin Prangwan P Hutvagner Gyorgy G Bajan Sarah S Padula Matthew P MP McGowan Eileen M EM Boonyaratanakornkit Viroj V

Scientific data 20210412 1

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 purific ...[more]

PMID: 33846359

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Project description:The progesterone receptor isoforms PRA and PRB are implicated in breast cancer development and metastasis. Expression ratio PRA/PRB is imbalanced in such cancers under the influence of MAPK-dependent extracellular stimuli that strongly impact progesterone-responsive transcriptional regulation. In order to determine the isoform-specific regulated genes in a metastatic cancer cell, we established the iPRAB cell line derived from MDA-MB-231 mammary cancer cells (ER-, PR-). This cell line conditionally expressed PRA and/or PRB under the control of RSL1 and doxycycline (Dox) non-steroid ligands, respectively, in a dose-dependent manner. The bi-inducible expression system was generated using a combination of the Rheoswitch (NE Biolabs) and T-Rex (Invitrogen) vector systems as described in the article. We investigated the transcriptomes obtained in cells treated by either RSL1 (for PRA), or Dox (for PRB), or RSL1 + Dox (for PRA + PRB) for 24 h and then by either 10 nM progesterone (+) or vehicle (-) for 6 h. Control experiments were obtained from cells grown in the absence of RSL1, doxycycline and in the presence of progesterone (O+) or vehicle (O-). Experimental conditions of PRA/PRB expression ratio were ranged from 0.1 to 10, and the maximum expression of a given isoform was set to 300 fmol per mg proteins following 24 h induction. After removing redundant probes and pseudogens, the processed data identified 1014 distinct regulated genes subdivised in 3 classes : genes responding either only to unliganded PR isoforms (-), or only to liganded (+) or to both conditions (mixed ±). Each classe was subdivided according to isoform specificity criteria (A, B, AB, A&B, A&AB, B&AB, A&B&AB) leading to define 3X7 clusters of genes per classe. Each subset was then further analyzed by complete hierarchical clustering through up or down-regulation criteria. These data indicated that PR target genes selectivity is highly dependent of PRA/PRB expression ratio as well as ligand status and highlight the major impact of PR on transcriptional regulation of genes involved in breast cancer and metastasis.

Dataset Information

Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer.

Publications

Triple SILAC identified progestin-independent and dependent PRA and PRB interacting partners in breast cancer.

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