Skip to main content
eLife logoLink to eLife
. 2017 Aug 10;6:e27159. doi: 10.7554/eLife.27159

Development of Bag-1L as a therapeutic target in androgen receptor-dependent prostate cancer

Laura Cato 1,2, Antje Neeb 3,, Adam Sharp 4, Victor Buzón 5, Scott B Ficarro 6, Linxiao Yang 7, Claudia Muhle-Goll 8,9, Nane C Kuznik 3, Ruth Riisnaes 4, Daniel Nava Rodrigues 4, Olivier Armant 3,10, Victor Gourain 3, Guillaume Adelmant 6, Emmanuel A Ntim 3, Thomas Westerling 1,2, David Dolling 11, Pasquale Rescigno 4, Ines Figueiredo 4, Friedrich Fauser 12, Jennifer Wu 1,2, Jaice T Rottenberg 1,2, Liubov Shatkina 3, Claudia Ester 3, Burkhard Luy 8,9, Holger Puchta 12, Jakob Troppmair 13, Nicole Jung 9, Stefan Bräse 3,9, Uwe Strähle 3, Jarrod A Marto 6, Gerd Ulrich Nienhaus 3,7,14,15, Bissan Al-Lazikani 16, Xavier Salvatella 5,17, Johann S de Bono 4, Andrew CB Cato 3,, Myles Brown 1,2,
Editor: Chi Van Dang18
PMCID: PMC5629025  PMID: 28826504

Abstract

Targeting the activation function-1 (AF-1) domain located in the N-terminus of the androgen receptor (AR) is an attractive therapeutic alternative to the current approaches to inhibit AR action in prostate cancer (PCa). Here we show that the AR AF-1 is bound by the cochaperone Bag-1L. Mutations in the AR interaction domain or loss of Bag-1L abrogate AR signaling and reduce PCa growth. Clinically, Bag-1L protein levels increase with progression to castration-resistant PCa (CRPC) and high levels of Bag-1L in primary PCa associate with a reduced clinical benefit from abiraterone when these tumors progress. Intriguingly, residues in Bag-1L important for its interaction with the AR AF-1 are within a potentially druggable pocket, implicating Bag-1L as a potential therapeutic target in PCa.

Research organism: Human

eLife digest

Prostate cancer is the second most common cancer in men around the world. The cancer relies on a protein called the androgen receptor in order to develop and grow. Currently, some of the most common treatments for prostate cancer, especially in its advanced stages, are drugs that block the activity of this receptor. However, such treatments are only successful for a limited period of time, and so alternative methods to inhibit this receptor are still needed.

The androgen receptor must bind to a number of proteins to carry out its activity. These proteins include one called Bag-1L, which is also important for the development of prostate cancer. Stopping such a protein from binding with the androgen receptor might represent a new way to treat prostate cancer; but first it will be important to understand how this interaction actually regulates the activity of the receptor.

Now, Cato et al. have analyzed samples of cancer cells that had been collected from 43 patients with prostate cancer and found that Bag-1L levels increase as the disease progresses. Looking at the patients’ medical records then revealed that therapies targeting the androgen receptor were less effective in people with high levels of Bag-1L. Conversely, altering, removing or inhibiting Bag-1L in prostate cancer cells grown in the laboratory made the receptor less active and made the cells grow slower.

Further experiments went on to reveal that Bag-1L interacts with a regulatory region of the androgen receptor. Cato et al. note that this region remains largely unexplored therapeutically, because it has some unique structural properties that restrict how much it can interact with drug molecules. Targeting Bag-1L and stopping it from binding to this region of the androgen receptor would represent a different approach to inhibiting the androgen receptor and treating patients with prostate cancer. Together these new findings should provide pharmaceutical companies with much of the information they would require to immediately start screening for therapies that target Bag-1L. Ultimately, Cato et al. hope that any follow-up findings will benefit prostate cancer patients by improving the currently available treatments.

Introduction

The androgen receptor (AR) plays a central role in the development of prostate cancer (PCa). Current approaches aimed at reducing persistent AR signaling either inhibit the production of androgens, or compete with endogenous ligands for binding to the AR C-terminal ligand-binding domain (LBD) (Helsen et al., 2014). While these therapies are initially effective in the advanced disease setting, PCa will eventually progress to a lethal, therapy-resistant state termed castration-resistant PCa (CRPC). In most cases of CRPC, AR continues to play a dominant role. Newer androgen synthesis inhibitors such as abiraterone and AR antagonists such as enzalutamide have been developed as second-generation therapies for the treatment of CRPC (de Bono et al., 2011; Scher et al., 2012; Beer et al., 2014). Nevertheless, while initially effective in the treatment of CRPC, most cases will develop resistance to these therapies (Mostaghel et al., 2014). One of the major drawbacks of these drugs is that they target the AR LBD (either directly or indirectly). Although the AR LBD is often regarded as the major site of AR regulation, most of the AR transactivation function is controlled through its N-terminal activation function 1 domain (AF1), which is subdivided into the tau-1 (amino acids 100–359) and tau-5 regions (amino acids 360–528) (Claessens et al., 2008). Furthermore, multiple AR variants expressed in CRPC completely lack a LBD (Guo et al., 2009), illustrating the need for alternative modes of AR inhibition. Targeting the AR AF-1 therapeutically has been challenging, due to its intrinsically disordered nature and lack of enzymatic activity or rigid binding clefts (Lavery and McEwan, 2008). However the lack of secondary or tertiary structure of intrinsically disordered regions (IDRs) of proteins, such as those found in the AR AF-1 domain, could be an advantage in providing a large surface area for protein-protein interactions (Wright and Dyson, 2009). IDRs can fold upon binding to their targets, allowing them to undergo conformational changes and participate in protein complex formations (Dyson and Wright, 2005). Although these interactions tend to be more transient and of lower affinity than complex formation between structured protein regions (Latysheva et al., 2015), they have become exceedingly important for controlling the function of IDR-containing proteins. Proteins that bind the unstructured AR AF-1 domain may constitute regulatory targets for inhibiting AR action.

Bag-1 (Bcl-2-associated athanogene-1) is a multifunctional protein involved in a number of key cellular processes including proliferation, differentiation, cell cycle, transcription and apoptosis (Townsend et al., 2003a). Its main function is as a cochaperone and nucleotide exchange factor for Hsp70/Hsc70 (Alberti et al., 2003). Four Bag-1 isoforms (Bag-1L, −1M, −1 and −1S) exist in humans and are generated from the same mRNA by a leaky scanning mechanism (Takayama et al., 1998; Yang et al., 1998). Although the Bag-1 family members differ in their N-terminal domains, their C-terminal (BAG) domains are conserved and essential for interaction with Hsp70/Hsc70 (Brehmer et al., 2001; Sondermann et al., 2001). Bag-1L, the largest family member, is the only one that possesses a nuclear localization sequence and is therefore localized in the nucleus (Takayama et al., 1998) where it enhances the transactivation function of several nuclear hormone receptors, including the AR (Froesch et al., 1998; Knee et al., 2001; Shatkina et al., 2003; Jehle et al., 2014). The function of Bag-1L on AR action is mediated through the direct interaction between two regions of each protein. We have recently shown that Bag-1L uses a N-terminal duplicated GARRPR motif to bind to a pocket near the AR LBD, termed binding function-3 (BF-3) (Jehle et al., 2014). Additionally, Bag-1L binds via its C-terminal BAG domain to the AR N-terminal domain (NTD) (Shatkina et al., 2003). However, details of this interaction and its consequences are unknown.

Here we show that the conserved BAG domain within the C-terminus of Bag-1L selectively interacts with the intrinsically disordered, but partially folded N-terminal AR tau-5 domain. Disrupting this interaction by knocking out or mutating the BAG domain of Bag-1L alters the structural properties of the AR NTD and receptor folding, and reduces the ability of AR to bind to chromatin and regulate transcription.

Results

Bag-1L is important for AR activity and function in PCa

Bag-1L has been reported to upregulate the activity of AR (Froesch et al., 1998; Knee et al., 2001; Shatkina et al., 2003). However, previous studies have not been able to clearly separate the function of Bag-1L from that of the other Bag-1 family members (Krajewska et al., 2006; Mäki et al., 2007). To specifically determine the function of Bag-1L, we employed a transcription activator-like effector nuclease (TALEN) approach that targets the first codon (CTG) of Bag-1L (Figure 1A), resulting in the complete knock-out (KO) of this protein. We used this approach in hormone-dependent LNCaP cells where we observed, concomitant with the loss of Bag-1L, an upregulation of the other Bag-1 isoforms (i.e. Bag-1S and Bag-1; Figure 1B); this is consistent with the translation of the Bag-1 mRNA by a leaky scanning mechanism. No alterations of AR levels were observed in response to Bag-1L KO, even in the presence of dihydrotestosterone (DHT). We also created rescue cell lines, re-expressing either an empty vector construct or (wild-type) Bag-1L (Figure 1C), to exclude potential off-target effects. Cell growth, over a 5 day period, was determined for all cell lines (Figure 1D). While loss of Bag-1L significantly reduced PCa growth, re-expression of Bag-1L (but not that of the empty vector) could reverse this phenotype, confirming that LNCaP cell growth is Bag-1L dependent.

Figure 1. Loss of Bag-1L inhibits PCa cell growth and reduces the AR cistrome and transcriptome.

(A) Schematic of the TALEN approach to knockout Bag-1L expression. The TALEN target sequences are highlighted in grey and the start codon (CTG) of Bag-1L is highlighted in yellow. Note, the start codons for the other Bag-1 isoforms remain intact. The resulting coding sequence, which is missing the Bag-1L start codon and flanking regions, is shown in red. (B) Western blot of nuclear extracts from hormone-deprived control (Ctr) and Bag-1L KO (KO) cells treated with vehicle (ETOH) or 10 nM DHT for 4 hr. Protein levels of Bag-1 isoforms (Bag-1L, −1S and −1, but not −1M) and AR are shown. The expression of the nuclear protein Lamin B1 was used for equal protein loading. (C) Western blot of Bag-1L and AR levels in control, Bag-1L KO and Bag-1L KO rescue cell lines, as indicated. β-actin was probed to ensure equal protein loading. (D) Proliferation assay of indicated cell lines grown in complete media and counting on days 0 and 5. Data are the averages of three independent experiments ± SEM, normalized to day 0. p-values were calculated using standard t test; *p≤0.05; ***p≤0.001; ****p≤0.0001. (E) Venn diagram of AR cistromes from replicate ChIP-seq experiments in hormone-depleted control (red) and Bag-1L KO (blue) cells treated for 4 hr with DHT. The union of binding sites is indicated. (F) Signal profiles and heatmaps of AR ChIP-seq data (centered on the AR peaks) from indicated cell lines. Signals are shown for sites with an AR peak in one or more cell lines. Cells were starved of hormone and treated with 10 nM DHT for 4 hr prior to the experiment. (G) Top, fluorescence images of CFP-AR-YFP-expressing hormone-depleted control or Bag-1L KO cells, treated with ETOH or 10 nM DHT for 2 hr. The FRET channel, which is corrected by 17% of ICFP, is shown in red, the raw CFP in blue, and the YFP, under direct excitation at 488 nm, in yellow. Results are from two independent experiments with more than 10 images. Scale bar: 10 µm. A schematic representation of the CFP-AR-YFP construct is shown below. Bottom, Quantification of CFP-AR-YPF FRET. IFRET/(IFRET +IDonor) ratios in the nucleus are shown. Data is the result of readings from more than 25 cells per sample and is presented as mean ±SD. ****p≤0.0001.

Figure 1—source data 1. Direct AR-target genes in TALEN control compared with Bag-1L KO cell lines.
DOI: 10.7554/eLife.27159.007

Figure 1.

Figure 1—figure supplement 1. Signal profiles and heatmaps of AR ChIP-seq data in Bag-1L control, KO and rescue cell lines in the presence of vehicle.

Figure 1—figure supplement 1.

Signals are shown for sites with an AR peak in one or more cell lines. Cells were treated with vehicle (ETOH) for 4 hr prior to ChIP-seq.
Figure 1—figure supplement 2. ChIP qPCR validation of three AR enhancer sites in Bag-1L control and KO cells.

Figure 1—figure supplement 2.

Directed AR qPCR for indicated gene targets in hormone-depleted control (black) and Bag-1L KO (grey) LNCaP cells treated with 10 nM DHT for indicated times. Results are presented as the mean of triplicate experiments ± SD.
Figure 1—figure supplement 3. Top five HALLMARK terms (GSEA) associated with direct AR-target genes lost in Bag-1L KO compared to control cells.

Figure 1—figure supplement 3.

Direct AR-target genes were defined as genes with DHT-induced differential expression (p≤0.05, fold change ≥1.5) that harbor a DHT-responsive AR binding site within 50 kb of the TSS of said gene.

Since LNCaP cell growth is primarily driven by AR activity, we next tested whether Bag-1L has any effect on the AR cistrome or transcriptome. We performed ChIP-seq in hormone-depleted control, Bag-1L KO and the rescue LNCaP cell lines, treated for 4 hr with vehicle (ETOH) or 10 nM DHT. We observed only limited binding of AR in response to vehicle treatment, regardless of the presence or absence of Bag-1L (Figure 1—figure supplement 1). This is in concordance with previously published AR cistromes (Wang et al., 2007). As previously reported (Wang et al., 2009), AR binding increased in response to DHT in the control cells (Figure 1E). In comparison, increase in AR binding was modest in the Bag-1L KO cells, and peaks were overall weaker than those observed in the control cells (Figure 1F). This implies that Bag-1L is necessary for effective AR binding to chromatin. Concomitantly, Bag-1L re-expression, but not the re-expression of the empty vector construct, could restore the AR binding sites (Figure 1F). The difference in AR binding in the presence and absence of Bag-1L was independent of the duration of DHT treatment, as confirmed by directed qPCR at three AR-bound enhancers (Figure 1—figure supplement 2).

To test if the reduction in AR binding in response to Bag-1L loss has any repercussions on the AR-dependent transcriptome, we next performed RNA-seq in hormone-deprived control and Bag-1L KO cells, treated for 16 hr with ETOH or 10 nM DHT. RNA- and ChIP-seq data were correlated using GenomicRanges (Bioconductor) and direct AR target genes were defined as genes with DHT-induced differential expression (p(FDR)≤0.05, fold change ≥1.5) that harbor a DHT-responsive AR binding site within 50 kb of their transcription start site (TSS). Using this approach, we determined 599 direct AR target genes in the control and 306 in the Bag-1L KO cells (Figure 1—source data 1). Using the HALLMARK function from GSEA we established that most of those genes lost in response to Bag-1L KO are associated with ‘androgen response’ (p=3.39×10−31; q = 1.7×10−29) (Figure 1—figure supplement 3), supporting our hypothesis that one of the functions of Bag-1L in PCa is to regulate AR transactivation.

One of the consequences of the loss of a chaperone or cochaperone is an alteration of the folding properties of its client proteins (Balchin et al., 2016; Mayer and Bukau, 2005). The impaired chromatin binding and transactivation function of the AR in cells lacking the cochaperone Bag-1L may therefore arise from an inability of the AR to adopt the appropriate conformation for its function. To test this, we employed fluorescence resonance energy transfer (FRET) using AR with its N- and C-termini tagged with CFP and YFP, respectively. This allowed us to measure the intra- and inter-molecular AR N/C-terminal interactions associated with the transactivation of the receptor (Schaufele et al., 2005). Experiments were carried out in hormone-depleted control and Bag-1L KO cells treated with vehicle (ETOH) or 10 nM DHT for 2 hr, and FRET signals were quantified (Figure 1G). We observed a much attenuated (and overall lower) FRET response to DHT in the Bag-1L KO compared to the control cells (i.e., mean difference of 0.24 ± 0.01 in the control versus mean difference of 0.09 ± 0.01 in the KO cells). Taken together, these results suggest that there are significant alterations in the inter-domain interaction and folding of the AR in the absence of Bag-1L that effect the ability of the receptor to efficiently respond to DHT, bind to chromatin and regulate gene expression.

The BAG domain of Bag-1L binds the tau-5 region of AR

We have previously shown that Bag-1L enhances AR transactivation via direct interaction of the two proteins (Jehle et al., 2014). We demonstrated that a novel GARRPR motif, found at the N-terminus of Bag-1L, interacts with the BF-3 pocket of the AR LBD. We further noted that the C-terminus of Bag-1L binds the AR NTD (Shatkina et al., 2003; Jehle et al., 2014). To demonstrate that these interactions contribute to AR action, we next performed a series of mammalian one-hybrid assays involving full-length Bag-1L and different domains of AR. Bag-1L enhances the activity of the previously identified AR LBD (in a hormone-dependent manner) as well as the AR AF-1 domain (Figure 2A). Moreover, Bag-1L enhances AR activity via the tau-5 domain within the AR AF-1 (Shatkina et al., 2003) (Figure 2B), a region known for its hormone-independent receptor activity (Jenster et al., 1995). We have previously shown that the interaction of AR tau-5 is with the Bag-1L BAG domain, or its flanking regions (Shatkina et al., 2003). To specifically delineate which residues, or combinations of residues are involved in this interaction, we employed a SPOT-synthesis technique that allows the screening of a large number of synthetic peptides (Frank, 2002). We synthesized short overlapping peptides (21 amino acids each) spanning the entire C-terminal domain of Bag-1L onto a cellulose membrane and incubated it with bacterially-purified GST-tagged AR tau-5. Once specific binding was established by immunoblotting, alanine substitutions were introduced into the synthesis of positively identified spots, until single amino acids were identified in the BAG domain that destroy the interaction with AR tau-5 (Figure 2—figure supplement 1). A triple mutation of K231/232/279A, referred to as CMut hereafter, was able to significantly decrease the interaction of AR and Bag-1L in a GST pull-down (Figure 2C) and co-IP experiment (Figure 2D), and reduce the AR NTD activity in a mammalian one-hybrid assay (Figure 2E). Additionally, Bag-1L CMut significantly altered the AR N/C-interaction compared to wild-type Bag-1L (Figure 2F), similar to what we observed in the FRET experiments in response to DHT treatment in the Bag-1L KO cells (Figure 1G). CMut Bag-1L- compared to wild-type Bag-1L-expressing cells additionally displayed a reduction in AR chromatin binding by ChIP-seq (Figure 2—figure supplement 2), similar to that described for the total loss of Bag-1L (Figure 1F), and a corresponding reduction in hormone-dependent AR function (Figure 2—figure supplement 3). Moreover, we could show that several evolutionarily conserved residues within the BAG domain of Bag-1L (primarily in helices 2 and 3), when mutated, impair the ability of Bag-1L to enhance AR AF-1 transactivation to a similar extent as the CMut Bag-1L protein (Figure 2—figure supplement 4). This indicates that mutating the BAG domain disrupts the Bag-1L:AR response similar to what we observed for the complete loss of Bag-1L.

Figure 2. The Bag-1L:AR interaction is mediated by K231/232/279 in the BAG domain of Bag-1L.

(A, B) Mammalian one-hybrid assay in HeLa cells transfected with indicated AR domains linked to Gal4 DBD, subjected to increasing concentration of Bag-1L. The results are the mean of three independent experiments ± SEM, relative to the empty Bag-1L expression vector. Schematic representations of the AR domains are shown below. AF-1: Activation function-1; H: Hinge; DBD: DNA-binding domain; LBD: Ligand-binding domain. (C) GST pull-down with GST-Bag-1L fusion proteins harboring point mutations (as indicated) in their BAG domain and lysates from LNCaP cells. Shown below is a schematic structure of Bag-1L with the triple mutations in the BAG domain, which abolish the interaction with the AR (but have no effect on Hsp70 binding). NLS: Nuclear localization sequence; UBQ: Ubiquitin-like domain; BAG: BAG domain. (D) Co-immunoprecipitation of Bag-1L and AR in LNCaP cells stably overexpressing FLAG-, HA-tagged wild-type (WT) or BAG domain mutant Bag-1L (CMut). The IP was performed using an anti-HA-tag antibody against Bag-1L and an antibody against AR and Hsp70 to evaluate binding of these proteins to Bag-1L. Equal protein loading was confirmed by probing for expression of Bag-1L, AR, Hsp70 and β-actin.. (E) Mammalian one-hybrid assay in HeLa cells transfected with pG5ΔE4-38 luciferase, TK Renilla luciferase, pM-AR AF-1 and different Bag-1L constructs harboring a wild-type or mutant BAG domain (as indicated). The results are the mean of three independent experiments ± SEM, relative to the empty Bag-1L expression vector. (F) Mammalian two-hybrid assay in HeLa cells transfected with Gal4 DBD-AR LBD and VP16-AR-AF-1 and increasing amounts of wild-type (WT) or K231/232/279A mutant Bag-1L (CMut). The results are the mean of three independent experiments ± SEM, relative to the control Renilla luciferase. (G) Log-log plot of intensities for proteins detected in forward and reverse SILAC RIME analyses of Bag-1L WT and CMut cells, targeting BAG-1L (dark blue) or IgG (light blue). Black lines represent median IgG-RIME ratios ± 2 standard deviations. Bag-1L, Hsp70 (HSPA1) and AR are indicated in yellow and red, respectively.

Figure 2—source data 1. List of Bag-1L interactors altered by the BAG domain mutation (≥2 standard deviations of Bag-1L/IgG control RIME).
DOI: 10.7554/eLife.27159.015
Figure 2—source data 2. Associated functions (FuncAssociate) of Bag-1L interactors altered by the BAG domain mutation.
DOI: 10.7554/eLife.27159.016

Figure 2.

Figure 2—figure supplement 1. Schematic of the SPOT synthesis technology.

Figure 2—figure supplement 1.

Mutant Bag-1L sequences (alanine substitutions shown in red) spanning the entire BAG domain of Bag-1L (residues 219–345) were bound to a membrane, incubated with GST-AR τau-5 and subsequently probed by Western blotting using an anti-GST antibody. Residues within non-binding regions are indicated in red. We identified seven residues (shown in red; residue numbers are indicated) critical for the interaction with AR τau-5 within the BAG domain. Residues involved in α-helix formation are highlighted in grey.
Figure 2—figure supplement 2. Overlap between AR cistromes in wild-type and CMut Bag-1L-expressing LNCaP cells.

Figure 2—figure supplement 2.

Venn diagram of AR cistromes in wild-type (WT; red) and K231A/K232A/K279A mutant Bag-1L (CMut; blue) LNCaP cells, treated with 10 nM DHT for 4 hr. The union of binding sites is indicated.
Figure 2—figure supplement 3. Top ten GO-terms (GSEA) associated with direct AR-target genes lost in the Bag-1L CMut- compared to the wild-type Bag-1L-expressing cells.

Figure 2—figure supplement 3.

Direct AR-target genes were defined as genes with DHT-induced differential expression (p≤0.05, fold change ≥1.5) that harbor a DHT-responsive AR binding site within 50 kb of the TSS of said gene. GO-terms relevant to AR action are highlighted in red.
Figure 2—figure supplement 4. Conserved BAG domain mutations that inhibit the AR AF-1 transactivation.

Figure 2—figure supplement 4.

Top, amino acid sequence of the BAG domain of Bag-1L (residues 219–345) with evolutionarily conserved residues highlighted in red and CMut (K231A/K232A/K279A) shown in blue. Residues involved in α-helix formation are highlighted in grey. Bottom, MMTV luciferase promoter assay in HeLa cells with MMTV luciferase construct, TK Renilla luciferase and ARΔLBD (amino acids 1–682), plus the indicated BAG domain mutants. The results are the mean of three independent experiments ± SD.
Figure 2—figure supplement 5. CBCACONH data of wild-type and CMut Bag-1L.

Figure 2—figure supplement 5.

Superposition of CBCACONH of Bag-1L WT (black) and the K231/232/279A mutant (Bag-1L CMut; red). 1H 13C planes were extracted from the 3D spectrum at the indicated 15N values.
Figure 2—figure supplement 6. 15N-HSQC spectra of wild-type and CMut Bag-1L.

Figure 2—figure supplement 6.

Superposition of 15N-HSQC spectra of the BAG domain of Bag-1L WT (black) and the K231/232/279A mutant (Bag-1L CMut; red).

To test if mutations in the BAG domain would disrupt the integrity of associated biochemical complexes, we next employed quantitative, stable isotope labeling with amino acids in cell culture (SILAC) combined with rapid immunoprecipitation mass spectrometry of endogenous proteins (RIME) (Mohammed et al., 2013) of LNCaP cells that stably express FLAG-HA-tagged wild-type or CMut Bag-1L. Association of AR, but not Hsp70 (HSPA1), was disrupted in Bag-1L biochemical complexes in the context of the triple mutation (Figure 2G); these data agree with the results of our GST pull-down (Figure 2C) and co-IP experiments (Figure 2D). Several proteins which exhibited decreased association with CMut Bag-1L (Figure 2—source data 1) are annotated with functional roles in protein synthesis, localization, or other aspects of proteostasis (Powers and Balch, 2013; Taipale et al., 2014; Labbadia and Morimoto, 2015) (Figure 2—source data 2). The dynamics we observed in the biochemical complex as a function of the Bag1L mutant is consistent with our hypothesis that Bag-1L is involved in the folding of AR (Figures 1G and 2F), suggesting a broader role for the BAG domain in proteome homeostasis.

The reduction of interactors for the mutant Bag-1L could, in principle, be the result of an altered BAG domain conformation brought about by the triple mutation. To test this, we recorded 13C correlation nuclear magnetic resonance (NMR) spectra to compare Cα and Cβ shifts (Sattler et al., 1999), which are predominantly influenced by the secondary structure of a protein. Comparison of the Cα and Cβshifts revealed no significant changes in the wild-type and mutant BAG domain peptide (Figure 2—figure supplement 5), suggesting that the extent of α-helix formation is essentially unchanged for the two proteins. However, about one third of residues that make the three antiparallel, helix bundles of the wild-type BAG domain (Briknarová et al., 2001) shifted to new positions or demonstrated reduced signal intensities in 1H15N-HSQC NMR spectra in response to the K231/232/279A mutations (Figure 2—figure supplement 6). This is most likely due to a destabilization of the entire protein caused by the three mutations, a consequence of which is a significant change in the 3D-structure of Bag-1L and hence an altered interactome of CMut compared to wild-type Bag-1L (Figure 2G).

The Bag-1L:AR interaction alters the structure of the AR NTD and is druggable

Differences in the structural consequences of the wild-type or mutant BAG domain interaction with the AR AF-1 was next tested using solution NMR spectroscopy. Addition of the wild-type BAG peptide resulted in the reduction of resonance intensities within the C-terminal part of AR AF-1, indicating that these two molecules interact transiently (Figure 3A). The residues of AF-1 most affected by this interaction corresponded to tau-5 and were previously identified as partially folded by NMR (De Mol et al., 2016), suggesting that the wild-type BAG domain interacts preferentially with this sub-domain. Moderate decreases in intensity were also observed in tau-1, in the region centered around residue 275, which has the propensity to adopt extended conformations. This suggests that although Bag-1L through its BAG domain binds tau-5, the interaction propagates to tau-1. Equivalent experiments carried out with the BAG domain mutant showed a much-attenuated effect, indicating that the strength of the interaction was diminished by the mutations, which agrees with our previous results (Figure 2).

Figure 3. The BAG domain mutations decrease AR binding and overlap a druggable pocket.

Figure 3.

(A) Top left: Normalized peak intensities of AR-AF-1 (residues 142–448) in the presence of GST (grey), or the GST-fused wild-type (blue) or K231/232/279A mutant BAG domain (red) of Bag-1L. A schematic of the τau-1 and τau-5 regions and the nascent secondary structure of these domains are shown. Partially folded helices are indicated by grey cylinders and regions with the propensity to adopt an extended conformation are indicated by black rectangles. Bottom and right: Close-up HSQC spectra of representative residues (as indicated) of AR-AF-1 alone (black) and in the presence of GST (grey), or the GST-fused wild-type (blue) or K231/232/279A mutant BAG domain (red) of Bag-1L. (B) 3D-model of the BAG domain of Bag-1L shown in blue, with the predicted druggable pocket highlighted in gold. (C) Rotations of the structure in (B) with the three residues (K231/232/279) within the BAG domain necessary for the interaction with AR indicated in red.

Figure 3—source data 1. Distinct 3D-snapshots of the BAG domain of Bag1/Bag-1L.
elife-27159-fig3-data1.docx (130.9KB, docx)
DOI: 10.7554/eLife.27159.018

Given the importance of the Bag-1L BAG domain for the interaction with AR, as well as its significance for AR function and activity, it is conceivable that inhibition of the Bag-1L:AR interaction through this domain might provide a powerful tool to suppress AR transactivation and PCa growth. We therefore employed the canSAR drug discovery platform (Bulusu et al., 2014; Tym et al., 2016) to query whether the BAG domain of Bag-1L contains any druggable or ligandable cavities that may be utilized for drug discovery. We analyzed 44 3D structural snapshots of the BAG domain of human Bag-1/Bag-1L (Figure 3—source data 1). Although all 44 structures lack a classical ‘druggable’ site (defined as sites that harbor geometric and physiochemical properties consistent with binding orally-bioavailable small molecules with strict drug-like properties) (Tym et al., 2016), we were able to identify a large ‘ligandable’ cavity, which is druggable using peptides or peptidomimetic drugs (Figure 3B). Moreover, we could demonstrate that the three amino acids (K231/232/279) important for AR binding lie within (K231 and 232) or just outside the edge (K279) of this cavity (Figure 3C). This agrees with our independent findings from the pull-down and luciferase assay (Figure 2C and E), where mutation of residues K231 and K232 jointly, but not K279 alone, reduced the binding to AR. However, in these experiments the biggest effect was achieved in response to a simultaneous mutation of all three residues, suggesting that the triple mutant behaves similarly to the complete loss of Bag-1L. The overlap between these experimental results and the computational prediction of the cavity suggests that pharmacological interference with the predicted cavity of Bag-1L is highly likely to impair AR action.

The Bag-1L:AR interaction can be inhibited by the thioflavin Thio-2

To test if pharmacological interference of the BAG domain of Bag-1L would indeed impair AR action, we tested the efficacy Thio-2, a tool compound BAG domain inhibitor. Thio-2 has previously been postulated to bind to the BAG domain and to inhibit the interaction between Hsp70 and Bag-1 (Enthammer et al., 2013; Papadakis et al., 2016). A consequence of this is the reduce growth of breast cancer cells, but so far this compound has not been tested in PCa. Thio-2 was indeed able to abrogate the endogenous Bag-1L:AR interaction in LNCaP cells (Figure 4A), as well as inhibit the androgen-dependent LNCaP cell growth (IC50 = 17.5 μM; Figure 4B). Moreover, Thio-2, unlike the AR N-terminal inhibitors EPI-001 or ido-EPI-002 (Andersen et al., 2010) and the AR LBD inhibitor enzalutamide, was able to effectively suppress Bag-1L function in a mammalian-1H assay (Figure 4C and D). This suggests that targeting Bag-1L through inhibition of its BAG domain, is a therapeutic possibility to abrogate AR function and reduce PCa growth.

Figure 4. The thioflavin Thio-2 inhibits AR function and AR-dependent PCa growth.

Figure 4.

(A) Co-immunoprecipitation of endogenous Bag-1L and AR in LNCaP cells, treated with or without 5 μM Thio-2 for 16 hr. A Bag-1L-specific antibody was employed for the IP and an antibody against AR was used to evaluate binding. IgG IP was carried out simultaneously as a negative control. One-tenth of the input samples are shown, to confirm equal protein loading. (B) LNCaP cells were grown in complete media and treated with indicated concentrations of Thio-2. IC50 values were determined after 72 hr using direct cell counts. Data are the averages of three independent experiments. (C) Mammalian one-hybrid assay in HeLa cells transfected with pG5ΔE4-38 luciferase, TK Renilla luciferase, pM-AR AF-1 and Bag-1L, and (increasing concentrations of) indicated inhibitors. The results are the mean of four independent experiments ± SEM. p-values were calculated using standard t test; ns: not significant; ***p<0.001. (D) MMTV luciferase promoter assay in HeLa cells with MMTV luciferase construct, TK Renilla luciferase and ARΔLBD (amino acids 1–682). The results are the mean of three independent experiments ± SEM. Enza: enzalutamide. p-values were calculated using standard t test; ns: not significant; **p≤0.01.

Bag-1L promotes androgen-dependent and -independent PCa growth

To test whether mutation in the BAG domain of Bag-1L (i.e. Bag-1L CMut) could indeed function as a substitute for Bag-1L inhibition or Bag-1L loss, we measured cell growth of Bag-1L KO cells stably expressing an empty vector control, or the wild-type or CMut Bag-1L (Figure 5A). Equal protein expression and AR levels were confirmed by western blotting (Figure 5—figure supplement 1). While re-expression of wild-type Bag-1L was able to rescue the growth inhibition triggered by Bag-1L KO, re-expression of the vector or Bag-1L CMut failed to do so. Given this result, we postulated that over-expression of wild-type Bag-1L should therefore cause an increase in PCa cell growth. We were able to confirm that overexpression of wild-type, but not CMut Bag-1L, results in an increase in LNCaP growth (Figure 5B), without any obvious alterations in AR levels (Figure 5—figure supplement 2). Similarly, wild-type Bag-1L overexpression also promotes growth in mouse xenograft experiments, in intact (Figure 5C) and castrated animals (Figure 5D). However, overexpression of wild-type Bag-1L (Figure 5—figure supplement 3), did not cause an increase in CRPC growth in LNCaP-abl and LNCaP95 cells (Figure 5E and F), most likely due to endogenously elevated Bag-1L levels in these cells compared to the parental LNCaP line (Figure 5—figure supplement 4). Overexpression of the CMut Bag-1L protein on the other hand, lead to a dominant negative effect on cell growth (Figure 5E and F), without any obvious alteration in AR level (Figure 5—figure supplement 5). This suggests that intact and functional Bag-1L mediates growth of CRPC cell models and may be associated with castration resistance and PCa disease progression.

Figure 5. Bag-1L enhances hormone-dependent and -independent PCa cell growth.

LNCaP Bag-1L KO (Bag-1L KO (A)) or parental LNCaP cells (LNCaP (B)) were transfected with an empty retroviral construct (+Vector; black), or expression vectors for wild-type Bag-1L (+WT; red) or the Bag-1L K231/232/279A mutant (+CMut; blue). Cells were counted on indicated days by trypan blue exclusion. Data is represented as the mean of three independent experiments ± SEM. p-values were calculated using standard t test; *p≤0.05; **p≤0.01; ****p<0.001. (C, D) Cell lines described in (B) were injected in 10 intact (C) or 9 castrated, athymic nude mice (D) and tumor volumes were measured at the indicated time points after injection. Data are represented as mean ±SEM per assay point. p-values were calculated using standard t test; *: p≤0.05; **: p≤0.01. (E, F) Cell growth of LNCaP-abl (Abl, (E) or LNCaP95 cells (F) transfected with an empty retroviral construct (+Vector; black), or expression vectors for wild-type Bag-1L (+WT; red) or the Bag-1L K231/232/279A mutant (+CMut; blue). Cells were counted on indicated days by trypan blue exclusion. Data is represented as the mean of three independent experiments ± SEM. p-values were calculated using standard t test; *p≤0.05; **p≤0.01; ****p<0.001.

Figure 5.

Figure 5—figure supplement 1. Western blot of Bag-1L KO rescue cell lines.

Figure 5—figure supplement 1.

LNCaP Bag-1L KO cells were stably transfected with an empty retroviral vector (Vec) or expression vectors for FLAG-HA-tagged wild-type Bag-1L (WT) or the Bag-1L K231/232/279A mutant (CMut). Expression levels of Bag-1L were determined using antibodies against Bag-1, and FLAG- or HA-tag. AR levels and equal protein loading were determined with anti-AR and -actin antibodies, respectively.
Figure 5—figure supplement 2. Western blot of Bag-1L over-expression cell lines.

Figure 5—figure supplement 2.

LNCaP cells were stably transfected with an empty retroviral vector (Vec) or expression vectors for FLAG-HA-tagged wild-type Bag-1L (WT) or the Bag-1L K231/232/279A mutant (CMut). Expression levels of Bag-1L were determined using antibodies against Bag-1, and FLAG- or HA-tag. AR levels and equal protein loading were determined with anti-AR and -actin antibodies, respectively.
Figure 5—figure supplement 3. Western blot of wild-type Bag-1L over-expression CRPC lines.

Figure 5—figure supplement 3.

LNCaP-abl (Abl) or LNCaP95 cells (LN95) were stably transfected with an empty retroviral vector (Vec) or expression vectors for FLAG-HA-tagged wild-type Bag-1L (WT). Expression levels of Bag-1L were determined using antibodies against Bag-1, and FLAG- or HA-tag. AR levels and equal protein loading were determined with anti-AR and -actin antibodies, respectively.
Figure 5—figure supplement 4. Western blot comparison of endogenous Bag-1L levels in PCa and CRPC lines.

Figure 5—figure supplement 4.

Endogenous Bag-1L levels, as determined by an antibody against Bag-1, in hormone-dependent LNCaP (LN) cells and in the CRPC lines LNCaP-abl (Abl) and LNCaP95 (LN95). AR levels and equal protein loading are shown, utilizing anti-AR and -actin antibodies, respectively.
Figure 5—figure supplement 5. Western blot of BAG domain mutant Bag-1L over-expression CRPC lines.

Figure 5—figure supplement 5.

LNCaP-abl (Abl) or LNCaP95 cells (LN95) were stably transfected with an empty retroviral vector (Vec) or expression vectors for FLAG-HA-tagged Bag-1L K231/232/279A mutant (CMut). Expression levels of Bag-1L were determined using antibodies against Bag-1, and FLAG- or HA-tag. AR levels and equal protein loading were determined with anti-AR and -actin antibodies, respectively.

Nuclear Bag-1 is upregulated in CRPC and associates with reduced clinical benefit from abiraterone therapy

Given our hypothesis that Bag-1L is a driver of castration resistance, we next investigated if Bag-1 (and AR) expression levels change with PCa progression. H-scores were determined by immunohistochemistry (IHC) of matched diagnostic (archival) hormone-sensitive PCa (HSPC) and CRPC biopsies (Figure 6A) of 43 patients. Bag-1 antibody specificity for IHC was confirmed using Bag-1 siRNA in HeLa cells (Figure 6—figure supplement 1), and antibody depletion in various cell lines (Figure 6—figure supplement 2) and patient biopsies (Figure 6—figure supplement 3). Specificity of the AR antibody for IHC was previously described (Welti et al., 2016). Since Bag-1L is the only Bag-1 family member localized to the nucleus, H-scores were determined separately for the nuclear and cytoplasmic compartments. The Mann-Whitney test was used to compare median H-scores by matched biopsy. While nuclear Bag-1 (i.e. Bag-1L) levels increased significantly (p<0.0001) in the progression from HSPC to CRPC, there was little change in cytoplasmic Bag-1 expression (p=0.14) (Figure 6B). In comparison, both nuclear and cytoplasmic AR levels were significantly increased (p<0.0001) as patients progressed to CRPC (Figure 6C). Although both nuclear Bag-1 and AR expression increased substantially with PCa progression, expression levels of the two proteins were not correlated (Spearman rank correlation coefficient; Figure 6—figure supplement 4).

Figure 6. Nuclear Bag-1 levels increased from hormone naïve to CRPC status in PCa patients.

(A) Representative immunohistochemistry images of AR and Bag-1 detection in HSPC and CRPC. Scale bars: 20 μm. (B, C) Expression (H-score) of nuclear and cytoplasmic Bag-1 (B) and AR (C) in 43 matched patient samples at HSPC and CRPC. Median H-score and interquartile range is shown. p-values were calculated using Wilcoxon matched-pair signed rank test. (D, E) Kaplan-Meier curves of time to PSA (D) or radiological progression (E) on abiraterone treatment, for nuclear Bag-1 positive (red; n = 29) and negative (grey; n = 9) patients (at HSPC). Hazard ratios (HR) with 95% confidence intervals (95% CI) and p-values for univariate cox survival model are shown. (F) Time on abiraterone for patients, negative (grey) or positive (red) for Bag-1 staining at HSPC. Median time and interquartile range is shown. p-value represents the Mann-Whitney test.

Figure 6.

Figure 6—figure supplement 1. IHC control in response to Bag-1 knock-down.

Figure 6—figure supplement 1.

IHC of HeLa cells transfected with either control siRNA or Bag-1 siRNA and probed with anti-Bag-1 antibody. Scale bars represent 20 μm.
Figure 6—figure supplement 2. Cell line validation of Bag-1 antibody for IHC.

Figure 6—figure supplement 2.

IHC of Bag-1 in indicated cell lines depleted with GST-Bag-1L or GST alone, as a control. Negative (no antibody added) and positive controls (no antibody depletion) are shown. SK-MEL-2 is a cell line with low Bag-1 expression. Scale bars represent 20 μm.
Figure 6—figure supplement 3. Validation of Bag-1 antibody for IHC using patient samples.

Figure 6—figure supplement 3.

IHC of Bag-1 in patient samples depleted with GST-Bag-1L or GST alone, as a control. Scale bars represent 20 μm.
Figure 6—figure supplement 4. Correlation between nuclear Bag-1 and AR expression in HSPC and CRPC patient samples.

Figure 6—figure supplement 4.

Spearman’s rank correlation test is shown.
Figure 6—figure supplement 5. Kaplan-Meier curve of overall survival on abiraterone treatment.

Figure 6—figure supplement 5.

Data is shown for nuclear Bag-1 positive (red; n = 29) and negative (grey; n = 9) patients (at HSPC). Hazard ratio (HR) with 95% confidence intervals (95% CI) and p-value for univariate cox survival model are shown.

Given our finding that Bag-1L is a key regulator of AR action (Figure 1), we next investigated the correlation between nuclear Bag-1 levels and clinical benefits from AR targeted therapy. Of the 43 patients with matched HSPC and CRPC biopsies, 38 had been treated with abiraterone in the CRPC setting. Of these, 9 (23.7%) were negative and 29 (76.3%) positive for nuclear Bag-1 staining in their primary tumors. There were no significant differences in baseline characteristics of these patient groups at diagnosis or at initiation of abiraterone therapy, except for patient performance status (ECOG PS; p=0.05) (Table 1). Moreover, there was no difference in 50% PSA response rate (33.3% vs 29.6%; p=1.00; data not shown), but nuclear Bag-1 positive (compared with Bag-1 negative) patients had a shorter median time to PSA progression (2.8 vs 6.6 months; log rank test p=0.02) (Figure 6D) and radiological progression (4.9 vs 9.8 months; log rank test p=0.05) (Figure 6E), and a reduced median time on abiraterone treatment (4.9 vs 10.4 months; log rank test p=0.03) (Figure 6F). Furthermore, these patients had a decreased median overall survival on abiraterone treatment (15.6 vs 20.9 months), but this was not statistically significant (log rank test p=0.10) (Figure 6—figure supplement 5). In contrast, nuclear AR levels, which were positive for all 38 patients at diagnosis, were not associated with time to PSA progression, radiological progression or overall survival (Table 1—source data 1). As most of the CRPC biopsies in this cohort were obtained after patients had developed abiraterone resistance (60.5%), neither Bag-1 nor AR expression was predictive of PSA or radiological progression on abiraterone or overall survival (Table 1—source data 2). Collectively, these results demonstrate that nuclear Bag-1 (i.e. Bag-1L) increases with PCa progression and is associated with reduced clinical benefit from abiraterone.

Table 1. Clinical characteristics of patients at HSPC biopsy and initiation of abiraterone treatment.

HSPC: hormone sensitive biopsy, CRPC: castration-resistant prostate cancer, ECOG PS: Eastern Cooperative Oncology Group performance status, IQR: interquartile range, SD: standard deviation, NA: not available, PSA: prostate specific antigen, n: number, pts: patients.

Table 1—source data 1. Association of nuclear Bag-1 or AR expression with clinical benefits from abiraterone therapy.
HSPC: hormone sensitive prostate cancer, CRPC: castration-resistant prostate cancer, PSA: prostate specific antigen, HR: hazard ratio, 95% CI: 95% confidence intervals. a Univariate cox survival model.
DOI: 10.7554/eLife.27159.033
Table 1—source data 2. Clinical characteristics of patients at time of castration-resistant prostate cancer biopsy.
CRPC: castration-resistant prostate cancer, ECOG PS: Eastern Cooperative Oncology Group performance status, IQR: interquartile range, SD: standard deviation, PSA: prostate specific antigen, n: number, pts: patients. at-test from linear regression model of Nuclear Bag-1 H-score at the time of CRPC biopsy bWald test from linear regression model of Nuclear Bag-1 H-score at the time of CRPC biopsy
DOI: 10.7554/eLife.27159.034
Overall
38 pts
Bag-1 negative
9 pts
Bag-1 positive
29pts
p-value
At diagnostic
(archival)
HSPC biopsy
Biopsy Gleason score, n (%)
≤6 2 (5) 0 (0) 2 (7) 0.40
7 7 (18) 4 (44) 3 (10)
8–10 27 (71) 5 (56) 22 (76)
NA 2 (5) 0 (0) 2 (7)
Metastatic at diagnosis, n (%)
No 17 (45) 2 (22) 15 (52) 0.25§
Yes 14 (37) 4 (44) 10 (34)
NA 7 (18) 3 (33) 4 (14)
Primary therapy, n (%)
Prostatectomy 4 (11) 0 (0) 4 (14) 0.65§
Radiotherapy 13 (34) 3 (33) 10 (34)
Systemic therapy 21 (55) 6 (67) 15 (52)
PSA at diagnosis, μg/L
Median 46.0 61.0 29.0 0.30*
IQR 13.1–105.9 28.8–150.0 10.0–96.6
At initiation of
abiraterone treatment
Age, yr
Median 69.2 69.5 69.0 0.59*
IQR 65.5–73.3 61.6–74.1 66.1–73.3
Sites of metastasis, n (%)
Node only 4 (11) 0 (0) 4 (14) 0.57§
Bone only 28 (74) 7 (78) 21 (72)
Visceral (with/without bone) 6 (16) 2 (22) 4 (14)
ECOG PS, n (%)
0 12 (32) 6 (67) 6 (21) 0.05§
1 24 (63) 3 (33) 21 (72)
2 2 (5) 0 (0) 2 (7)
PSA, μg/L
Median 185.5 222.0 147.0 0.77*
IQR 83.8–445.8 51.2–781.5 88.0–363.0
Hemoglobin, g/L
Mean 118.1 124.4 116.2 0.18
SD 16.0 16.3 15.7
Alkaline phosphatase, U/L
Median 131.0 133.0 129.0 0.85*
IQR 69.0–230.5 64.5–250.5 70.0–231.0
Lactate dehydrogenase, U/L
Median 178.0 161.0 192.0 0.08*
IQR 155.5–247.0 149.5–190.0 160.0–287.0
NA 2 0 2
Albumin, g/L
Mean 35.8 37.8 35.2 0.17
SD 4.8 2.4 5.2
Previous treatments for CRPC, n (%)
Docetaxel 27 (71) 5 (55) 22 (76) 0.40§
Enzalutamide 2 (5) 0 (0) 2 (7) 1.00§
Cabazitaxel 5 (13) 0 (0) 5 (17) 0.31§
Subsequent treatments for CRPC, n (%)
Docetaxel 8 (21) 4 (44) 4 (14) 0.07§
Enzalutamide 7 (18) 1 (11) 6 (21) 1.00§
Cabazitaxel 15 (39) 5 (55) 10 (34) 0.44§

*Mann-Whitney test.

Chi-square test for trend.

Unpaired t test.

§Fisher’s exact test.

Discussion

Bag-1L is a known regulator of AR action implicated in PCa progression, but its mechanism of action is poorly understood. We show here that Bag-1L is essential for AR transactivation and function, and PCa growth. This function is mediated through the direct interaction of Bag-1L and the AR. Mutations that disrupt this interaction, inhibition of the Bag-1L:AR interaction or loss of Bag-1L altogether, alter the structural properties of the receptor and result in changes in the AR cistrome and transcriptome (Figure 7). We show that this leads to reduced growth of hormone-dependent and -independent PCa cells in culture and tumors in xenograft mouse models.

Figure 7. The Bag-1L is a promising target for the inhibition of the AR NTD.

Figure 7.

The function of Bag-1L in PCa is to promote the correct folding of the AR, augment its affinity for chromatin and regulate its transcriptional activity. Loss of Bag-1L, or mutation or inhibition of its BAG domain, leads to the abrogation of these processes and hence reduction of PCa growth.

Human Bag-1L is one of four polypeptides translated from a single mRNA by a leaky scanning mechanism (Takayama et al., 1998; Yang et al., 1998) and as a result it has been difficult to demonstrate its function in biological systems, independent of the other Bag-1 proteins. Previous studies on Bag-1L function have either employed siRNA approaches, which reduced the expression of all four isoforms, or Bag-1L overexpression systems (Froesch et al., 1998; Guzey et al., 2000; Cutress et al., 2003; Shatkina et al., 2003; Jehle et al., 2014). In our present work, we have used genome editing techniques to specifically knock-out endogenous Bag-1L and additionally rescued the knockout by re-expressing wild-type Bag-1L. Using this approach, we could demonstrate that Bag-1L is required for the correct and efficient folding, chromatin binding and transcriptional activity of the AR. Moreover, utilizing mass spectrometry we could show that in addition to binding and regulating the activity of AR, Bag-1L binds stress response proteins, underscoring its function as a survival and antiapoptotic protein and regulator of the proteostasis network (Townsend et al., 2003b; Mosser and Morimoto, 2004).

We have previously reported that Bag-1L binds the AR through a novel GARRPR motif, found at its N-terminus, and a BF-3 pocket at the AR LBD (Jehle et al., 2014). However, inhibition of this interaction by mutating the GARRPR motif had only a modest effect on AR chromatin binding, the AR-mediated transcriptome and PCa cell growth (Jehle et al., 2014 and unpublished data). Thus, we believe that the Bag-1L GARRPR:AR BF-3 interaction acts as a modulator, rather than a regulator of AR activity. This agrees with findings that the BF-3 pocket itself acts as an allosteric modulator for receptor activity (Estébanez-Perpiñá et al., 2007). In addition to the GARRPR:AR BF-3 interaction, Bag-1L also binds the AR N-terminus via its BAG domain. A triple mutant (K231/232/279; CMut) within helices 1 and 2 in the Bag-1L BAG domain was sufficient to inhibit the Bag-1L/AR interaction, in an Hsp70-independent manner. Although other mutations, primarily within helix 3 of the BAG domain, also inhibited the binding of Bag-1L and AR, these sites additionally interacted with Hsp70/Hsc70. The region in AR most affected by binding to Bag-1L maps to the partially folded region within tau-5, which strongly overlaps the region affected by EPI-001 binding (De Mol et al., 2016). EPI-001 is a recently developed experimental drug that targets the AR NTD (Andersen et al., 2010). A derivative of this compound (EPI-506) is currently being employed in clinical trials for CRPC patients resistant to abiraterone and/or enzalutamide (ClinicalTrails.gov Identifier: NCT02606123). However, EPI-001 and iodo-EPI-002 were not able to suppress Bag-1L function in a mammalian-1H assay. Given our findings that the BAG domain of Bag-1L binds and regulates AR (tau-5) with high specificity, targeting the Bag-1L:AR interaction might be an alternative approach for the treatment of PCa. This notion is supported by our findings pointing to a druggable pocket within the BAG domain of Bag-1L, which overlaps our triple mutation (CMut). An inhibitor (Thio-2) that targets the BAG domain was shown to be efficacious in blocking the antiapoptotic action of Bag-1 in breast cancer and melanoma cells (Enthammer et al., 2013; Papadakis et al., 2016). In the present study we show that it is also effective in inhibiting the Bag-1L BAG:AR tau-5 interaction and suppressing PCa cell growth.

Aberrant expression of Bag-1 has been described in a variety of human malignancies, such as breast, lung, cervical, colorectal and hepatocellular carcinoma (Zapata et al., 1998; Rorke et al., 2001; Clemo et al., 2008; Cutress et al., 2003; Ni et al., 2013). Here we show that the nuclear Bag-1 (i.e. Bag-1L), but not the other Bag-1 isoforms, is upregulated in PCa patients that progress from HSPC to CRPC. This is in agreement with previous reports that show that nuclear Bag-1 levels (Krajewska et al., 2006), or Bag-1L specifically (Mäki et al., 2007), correlates with PCa progression. However, our study is the first to analyze Bag-1 expression in matched HSPC and metastatic CRPC biopsies, rather than unmatched tissues from untreated or hormone-refractory tumors. We additionally show that nuclear Bag-1 levels at HSPC status associate with a reduced clinical benefit from abiraterone. This is in line with previous reports that overexpression of nuclear Bag-1 correlates with drug resistance (Ni et al., 2013) and that Bag-1 overexpression is commonly observed in drug-resistant cell lines (Ding et al., 2000; Chen et al., 2002; Liu et al., 2009). Our study provides evidence of an association between Bag-1 levels and treatment response in PCa, highlighting the prognostic significance of Bag-1 in this disease.

In conclusion, we demonstrate here the importance of Bag-1L for AR activity and function in PCa. Combined, our data support targeting the BAG-1L BAG domain:AR tau-5 interaction therapeutically in the treatment of PCa and CRPC.

Materials and methods

Cell line preparation and maintenance

TALEN Bag-1L KO and vector controls were created as described (Cermak et al., 2011). In brief, the left Bag-1 TALEN (targeting the sequence ‘GGGCGGTCAACAAGT’) was translated into the RVD code ‘NN NN NN HD NN NN NG HD NI NI HD NI NI NN NG’ and assembled in pZHY500. The right Bag-1 TALEN arm (targeting the sequence ‘CGGGGGGGCGCGGAGA’), was translated into the RVD code ‘HD NG HD HD NN HD NN HD HD HD HD HD HD HD NN’ and assembled in pZHY501. Subsequently, both arms were subcloned into pZHY013 (a kind gift from Daniel Voytas) to generate a heterodimeric Fok1 nuclease. The plasmids were then subcloned into pDest12.2 using the Gateway cloning technology (Thermo Fisher Scientific, Waltham, MA) and transiently transfected into LNCaP cells using Fugene 6 (Promega, Madison, WI). Transfected cells were selected using G418 for 24 hr (800 μg/ml). Single clones where isolated by serial dilution and screened for Bag-1L deletion by western blotting. To verify the genomic deletion, part of exon 1 was PCR-amplified and cloned into pcDNA3.1 V5 His6 (Thermo Fisher Scientific) using the TOPO cloning kit (Thermo Fisher Scientific), and sequenced using specific primers (Bag1g14fw 5’-GCTGGGAAGTAGTCGGGC-3’; Bag1g252rev 5’-CTGGTGGGTCGGTCATGC-3’). Stable TALEN rescue cell lines (Bag-1L KO +Vector control, Bag-1L KO +Bag-1L WT and Bag-1L KO +Bag-1L CMut) and stable wild-type (Flag-HA-tagged) Bag-1L overexpressing LNCaP cells were created as previously described (Jehle et al., 2014), using expression plasmid poZN. HeLa cell lines were employed for transient transfection using PromoFectin (PromoCell, Heidelberg, Germany) according to the manufacturer’s instructions. LNCaP-abl and LNCaP95 cells were a kind gift from Zoran Culig (Innsbruck Medical University, Austria) (Culig et al., 1999) and Stephan Plymate (University of Washington, Seattle, WA) (Hu et al., 2012), respectively. Unless otherwise stated, all cell lines were obtained from the American Type Culture Collection and their identities were confirmed by short tandem repeat profiling (BioSynthesis, Lewisville, TX). They were all confirmed to be mycoplasma negative, using the MycoAlert mycoplasma detection kit (Lonza, Portsmouth, NH). All cell lines and parental LNCaP cells were cultured in RPMI 1640 medium or DMEM (for HeLa cells only) supplemented with 10% FBS, penicillin (100 u/ml), streptomycin (100 u/ml) and L-glutamine (2 mM). For experiments requiring hormone starvation, cells were grown for 72 hr in phenol red-free RPMI 1640 medium, supplemented with 10% charcoal-stripped FBS, penicillin (100 u/ml), streptomycin (100 u/ml) and L-glutamine (2 mM). CRPC lines were continuously cultured under hormone starvation condition as described above. Cell proliferation experiments were carried out as previously described (Groner et al., 2016).

Animal experiments

All animal experiments were performed per European and German statutory regulations. Animal protocols were approved by the ‘Regierungspräsidium’ Karlsruhe, Germany (AZ 35–9185.81/G-43/14 ‘Bag-1L-Prostastakarzinomprojekt’). LNCaP xenograft tumor studies were carried out as previously described for intact (Maddalo et al., 2012) or castrated mice (Eder et al., 2013).

Patient cohort, human tumor samples and tissue analysis

Patients were identified from a population of men with metastatic CRPC treated at the Royal Marsden NHS Foundation Trust. All study participants had given written, informed consent and were enrolled in institutional protocols approved by a multicenter research ethics committee (Ethics Committee Centre: London-Chelsea Research Ethics Committee, Reference no. 04/Q0801/60). Forty-three patients with sufficient formalin-fixed, paraffin embedded (FFPE), matched diagnostic (archival) HSPC and CRPC tissue were included in our study. HSPC tissue demonstrated adenocarcinoma and was obtained from either prostate needle biopsy (35), transurethral resection of the prostate (TURP; 3), prostatectomy (4) or bone biopsy (1). CRPC tissue was obtained from the same patients through biopsies of bone (25), lymph node (10), liver (5), prostate (TURP; 1), bladder (1) or chest wall (1). All tissue blocks were freshly sectioned and only considered for IHC analyses if adequate material was present (≥50 tumor cells). For Bag-1 IHC (using antibody Y166, Abcam), HSPC and CRPC FFPE biopsies were first deparafinised, followed by antigen retrieval (microwaving in citrate buffer (pH 6.0) for 18 min at 800 W). The Bag-1 antibody was diluted (1:250) in Dako REAL diluent (Agilent Technologies, Santa Clara, CA) and tissue was incubated for 1 hr. After washes, the bound antibody was visualized using the Dako REAL EnVision Detection System (Agilent Technologies). Sections were counterstained with hematoxylin. AR protein expression was determined using the AR mouse monoclonal antibody (AR441, Agilent Technologies), as previously described (Welti et al., 2016). Nuclear and cytoplasmic Bag-1 and AR expression was determined for each case by author D.N.R in a blinded fashion using the modified H-score (HS) method using formula: [(% of weak staining) x 1] + [(% of moderate staining) x 2] + [(% of strong staining x 3) to provide a range from 0 to 300 (Detre et al., 1995). HS data was reported as median values with interquartile range (IQR). Demographic and clinical data for each patient were collected retrospectively from the hospital electronic patient record system. These characteristics were compared by Bag-1 status at HSPC using Fisher’s exact test for categorical characteristics, the Chi-squared test for trend for ordinal characteristics and either an unpaired t-test for continuous data, if normally distributed (e.g. hemoglobin and albumin), or a Mann-Whitney test. The characteristics were then compared by Bag-1 HS value at CRPC biopsy using linear regression models and either a t-test or Walt test. PSA progression was defined as an increase in the PSA level of 25% or more above the nadir (and by ≥2 ng/ml); patients who stopped abiraterone without PSA progression were censored. Radiological progression was defined as any radiological imaging reporting disease progression; patients who stopped abiraterone without radiological progression were censored. Overall survival was defined as time from initiation of abiraterone to date of death (35 patients) or last follow up/contact (3 patients).

Protein assays

Co-immunoprecipitation was carried out as described previously (Jehle et al., 2014). Proteins were isolated using TIVE lysis buffer (50 mM Tris-HCl pH 7.8, 2 mM EDTA, 150 mM NaCl, 1% NP-40, protease inhibitors), or lysis buffer A (10 mM HEPES pH 7.5, 10 mM KCl, 0.1 mM EGTA, 0.1 mM EDTA, 1 mM DTT, protease inhibitors) plus 0.5% NP-40 and lysis buffer C (20 mM HEPES pH 7.5, 420 mM NaCl, 1.5 mM MgCl2, 0.2 mM EDTA, 25% Glycerol, 1 mM DTT, protease inhibitors) for total, cytoplasmic and nuclear proteins respectively. Western blotting was carried out using standard protocols with following antibodies: Bag-1 (FL-274 and F-7, Santa Cruz Biotechnology, Dallas, TX or Y166, Abcam, Cambridge, UK), Bag-1L (was obtained from Andrew Cato; Crocoll et al., 2000), AR (N-20, Santa-Cruz Biotechnology), Hsp70 (K-20, Santa Cruz Biotechnology), Hsp70/Hsc70 (W27, Santa Cruz Biotechnology), Flag-tag (M2, Sigma Aldrich, St. Louis, MO), HA-tag (F-7, Santa Cruz Biotechnology or Abcam), β-actin (C4, Santa Cruz Biotechnology or Abcam), vinculin (V9131, Sigma Aldrich), Lamin B1 (EPR8985, Abcam). Bag-1L and AR inhibitors were produced by Jakob Troppmair (Thio-2), Xavier Salvatella (EPI-001 and iodo-EPI-002) or purchased from Selleckchem (enzalutamide).

Chromatin immunoprecipitation (ChIP) and ChIP-seq

ChIP was carried out as described (Jehle et al., 2014), using anti-AR antibody (N-20; Santa-Cruz Biotechnology). Following primers were utilized for directed ChIP qPCR. KLK3 (AREIII) primers were previously published (Jehle et al., 2014).

TMPRSS2 Fwd: 5’-GCTCACACAGGATCAGAGCA-3’

TMPRSS2 Rev: 5’-TGCTCGTTAGTGGCACATTC-3’

NKX3.1 Fwd: 5’-TTTGGGCCACCCTGTAAATA-3’

NKX3.1 Rev: 5’-GGGTGGGAGGAGATGAAAAT-3’

ChIP-seq libraries were generated using the ThruPLEX DNA-seq kit (Rubicon Genomics, Ann Arbor, MI) and were sequenced on the Illumina NextSeq 500 platform at the Molecular Biology Core Facility (Dana-Farber Cancer Institute). ChIP-seq data was processed using ChiLin2 (Qin et al., 2016). All ChIP-seq data have been deposited at the GEO depository under accession number GSE89939.

RNA-sequencing

Total RNA was extracted from cells using innuPREP RNA Mini (Analytic Jena AG, Jena, Germany), following the manufacturer’s instruction. mRNA libraries were generated using the Illumina TruSeq stranded mRNA sample kit and 1 µg of total RNA per sample. Library preparation, sequencing on a HiSeq1500 Illumina platform, and data analysis were carried out at the NGS facility of the Institute of Toxicology and Genetics (KIT). Fastq files were processed with CASAVA and mapped against the human reference genome GRCh37 using TopHat 2.0.11 (Trapnell et al., 2009). Reads were quantified with HTSeq (Anders et al., 2015), using the reference gene annotation from Ensembl. Differential expression analysis was performed using DESeq2 (Love et al., 2014). All RNA-seq data have been deposited at the GEO depository under accession number GSE89939.

FRET

Cells were transiently transfected using Lipofectin (Thermo Fisher Scientific) with plasmid CFP-AR-YFP (Schaufele et al., 2005), generously provided by Marc Diamond. Images were acquired on an Andor Revolution XD spinning disk laser scanning microscopy system (BFi OPTiLAS) using two color channels. CFP was excited at 405 nm (90 µW, 100 ms) and its emission collected through a 447/60 nm bandpass filter (center wavelength/width, AHF). YFP was excited at 488 nm (187 µW, 100 ms) and observed through a 560/55 nm bandpass filter. A longpass dichroic mirror (DCLP 530, AHF) was used to separate the emission light. In addition, a notch filter (532/10 nm, center wavelength/width, AHF) was inserted in front of the dichroic mirror to reduce crosstalk between CFP and YFP. Additional control experiments were performed to minimize crosstalk and direct excitation of YFP. After background subtraction, FRET signals were calculated using Icorr. FRET= IFRET – 0.17 ICFP. Nuclear regions were identified manually based on YFP staining. Acquired images were analyzed using ImageJ (Abramoff et al., 2004).

SPOT assay

Short overlapping peptides (21 amino acids each) spanning the entire human Bag-1L BAG domain and its flanking regions were synthesized and spotted in duplicates onto amino-PEG cellulose membranes (Intavis AG Bioanalytical Instruments, Cologne, Germany) using an automated SPOT synthesizer (MultiPep, Intavis AG Bioanalytical Instruments) (Frank, 2002). The membranes were incubated with bacterially-purified GST-AR-τau-5 (amino acids 360–528). Specific binding was detected using an anti-GST antibody (Santa Cruz Biotechnologies). Alanine substitutions were introduced into the synthesis of positively identified peptides using site-directed mutagenesis (Agilent Technologies) and the hybridization procedure was repeated until single amino acids were identified in the BAG domain that destroyed the interaction with AR τau-5.

GST pull-down, mammalian one- and two-hybrid assays

GST pull-down was performed as previously described (Jehle et al., 2014). Mammalian one-hybrid experiments were performed as described (Shatkina et al., 2003), using constructs pG5ΔE4-38 luciferase (Gal4 reporter gene), TK Renilla luciferase, Gal4 fusion genes (pM-AR-AF-1, pM-τ1AR, pM-τ5AR) or MMTV luciferase, TK Renilla luciferase and ARΔLBD (amino acids 1–682) with pcDNA3 Bag-1L (wild-type and mutants). Mammalian two-hybrid assays were performed using constructs pG5ΔE4-38 luciferase and TK Renilla luciferase (Jehle et al., 2014), and Gal4DBD-ARLBD and VP16-AR-AF-1 (provided by Karin Knudsen).

RIME

SILAC-labeled rapid IP-mass spectrometry of endogenous protein (RIME) was carried out essentially as previously described (Mohammed et al., 2013). Bag-1L WT and CMut cells were grown in media supplemented with ‘light’ (L-lysine-2 HCl, L-arginine-HCl) or ‘heavy’ isotope labels (13C6L-lysine HCl, 13C615N4L-arginine-HCl) and mixed at a 1:1 ratio (30 million cells per treatment arm) prior to IP. Proteins were immunoprecipitated using 20 μg anti HA-tag (Abcam) or rabbit IgG (Santa Cruz Biotechnology) antibody-coupled Dynabeads (Thermo Fisher Scientific). Immunoprecipitated proteins were digested directly on beads as described (Mohammed et al., 2013). Recovered peptides were acidified with 10% TFA and subjected to batch mode RP-SCX to desalt peptides and remove traces of detergent (Adelmant et al., 2011). After trapping on a self-packed pre-column (100 um I.D. packed with 4 cm POROS 10R2; Applied Biosystems, Foster City, CA), peptides were eluted with an HPLC gradient (0–35% B in 4 hr) and resolved using a self-packed analytical column with integrated ESI emitter tip (Ficarro et al., 2009) (30 um I.D. packed with 50 cm Monitor C18, Orochem, with ~1 um ESI tip, flow rate ~30 nL/min) prior to electrospray (voltage = 3.8 kV). Peptides were analyzed by nanoflow LC-MS/MS using a NanoAcquity UPLC system (Waters Corporation, Milford, MA) coupled to an Orbitrap Fusion mass spectrometer (Thermo Fisher Scientific), as previously described (Ficarro et al., 2009). The mass spectrometer was operated in data-dependent mode such that the top 15 precursor ions in each MS scan (image current detection, 120K resolution, m/z 300–2000, target 5e5, max inject time = 500 ms) were subjected to both CID (quadrupole isolation, width 1.6 Da, first mass = 110, CE = 30%, rapid scan, target = 5e3, max fill time = 50 ms, electron multiplier detection) and HCD (quadrupole isolation, width 1.6 Da, first mass = 110, CE = 30%, target = 5e4, max fill time = 50 ms, image current detection with 15K resolution). Mascot was used to search peak lists (.mgf) generated by multiplierz (Askenazi et al., 2009; Parikh et al., 2009) against a forward-reverse database of human proteins (NCBI refseq). Search parameters specified SILAC quantitation (K + 8, R + 10), variable methionine oxidation, and fixed carbamidomethylation of cysteine residues, as well as a precursor mass tolerance of 10 ppm and product ion mass tolerances of 0.6 Da and 25 mmu for CID and HCD spectra. After filtering results to 1% FDR, SILAC quantitation was performed using multiplierz scripts for genes or gene groups represented by at least 2 unique peptides. SILAC data were then normalized according to Bag-1L expression levels (CMut vs. WT). For protein products detected in ‘forward’ (WT light, CMut heavy) and ‘reverse’ (WT heavy, CMut light) SILAC experiments, ratios were averaged to provide an aggregate CMut/WT ratio. Search results were each filtered to 1% FDR, combined and further filtered to yield proteins represented by 2 or more unique peptides. Proteins detected in the Bag-1L RIME experiment were considered background and excluded from further analysis unless total summed peptide signal intensities were ≥3 fold higher than those in the control experiment. Genes or gene groups were considered regulated by the mutation of Bag-1L if ratios deviated by more than 2 standard deviations from median-normalized IgG control ratios. Data were plotted using R version 3.2.4.

NMR

The 15N-labeled thrombin protease-cleavable GST-fused BAG domain (wild-type or K231/232/279A mutant) was cloned into pGEX-6P vector (Addgene, Cambridge, MA) and expressed in E. coli strain BL21 (DE3), grown in M9 minimal medium supplemented with 0.5 g/l 15NH4Cl. The 15N-BAG domains were cleaved off by rhinovirus 3C protease (PreScission, GE Healthcare, Marlborough, MA). To remove residual GST, the protein solution was purified using a glutathione sepharose column and subjected to size exclusion chromatography (Superdex 200, HiLoad 16/60, GE Healthcare). 15N-HSQC spectra for wild-type and mutant BAG domains (at approximate 500 μM) and standard triple resonance backbone experiments (HNCA, HNCACB, CBCA(CO)NH) for peak assignment were acquired at 23° C on a Bruker Avance I 600 spectrometer. The spectrometer was equipped with a broadband triple resonance probe head with 4 scans per increment and a total of 128 increments in the indirect dimension. For chemical shift calibration and to compare relative signal intensities, 0.2 mM DSS (2,2 Dimethyl-2-silpentane-5-sulfonic acid) was added. Data were processed with NMRPipe (Delaglio et al., 1995) and analyzed using NMR VIEW (Johnson, 2004).

Expression, purification and nuclear magnetic resonance assignment of isotopically labeled 15N-AF-1 has been previously described (De Mol et al., 2016). [1H,15N]-HSQC spectra for AR-AF-1 alone (at a 25 μM concentration), at a 1:5 molar ratio with GST (as a control) or with unlabeled GST-BAG (wild-type or mutant) were acquired at 278K on a Bruker 800 MHz spectrometer. Data was processed using NMRPipe and NMRDraw, and analyzed using CcpNmr Analysis (Vranken et al., 2005). Peak intensities were normalized and plotted as a function of residue number.

Computational modeling

The 3D structure of human Bag-1L was analyzed using the structure-based druggability algorithm (Bulusu et al., 2014) developed as part of the canSAR drug discovery resource (Tym et al., 2016). In short, the algorithm identifies up to 10 cavities on a 3D-structure and measures ~30 geometric and physicochemical properties for each of these cavities. Such properties include the volume, enclosure, depth, and complexity of the cavity, as well as the number of hydrogen-bond donors and acceptors, polarity distribution and the projected ligand-binding energy of the cavity.

Acknowledgements

We thank Anna C Groner, Jin Zhao, Jutta Stober and Rebecca Seeger for technical help and fruitful advice and assistance. A big thanks to Noriko Uetani for graphical support. We also thank the Molecular Biology Core Facility (Dana-Farber Cancer Institute), particularly Zach Herbert, for help with Illumina sequencing. This research was support by the Claudia Adams Barr Foundation (LC), the Prostate Cancer Foundation (LC, AS, JB, ACBC, MB) and the Deutsche Krebshilfe (ACBC). AS holds a joint Prostate Cancer UK and Academy of Medical Sciences Award and is supported by the Medical Research Council. LY was supported by a research grant from the KIT BioInterfaces International Graduate School (BIF-IGS) to ACBC and GUN. EAN is supported by a joined scholarship from the Government of Ghana and the DAAD (Germany). GUN, SB and US are supported by the German Science Foundation (DFG) (GRK 2039). XS is supported by MINECO and the European Research Council (contract number 648201). MB is a consultant for GTx and Novartis. He receives sponsored research support from Novartis.

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Contributor Information

Andrew CB Cato, Email: andrew.cato@kit.edu.

Myles Brown, Email: myles_brown@dfci.harvard.edu.

Chi Van Dang, University of Pennsylvania, United States.

Funding Information

This paper was supported by the following grants:

  • Prostate Cancer Foundation to Laura Cato, Adam Sharp, Johann S de Bono, Andrew CB Cato, Myles Brown.

  • Deutsche Krebshilfe to Andrew CB Cato.

  • Barr Foundation to Laura Cato.

  • Prostate Cancer UK to Adam Sharp.

  • Medical Research Council to Adam Sharp.

Additional information

Competing interests

No competing interests declared.

Author contributions

Conceptualization, Data curation, Formal analysis, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing—original draft, Writing—review and editing.

Data curation, Formal analysis, Validation, Investigation, Methodology, Writing—review and editing.

Resources, Data curation, Formal analysis, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing—review and editing.

Resources, Investigation, Visualization, Methodology.

Resources, Software, Investigation, Visualization, Methodology.

Resources, Data curation, Software, Formal analysis, Investigation, Visualization, Methodology.

Resources, Software, Investigation, Visualization, Methodology.

Investigation.

Resources, Data curation, Investigation.

Resources, Data curation, Investigation.

Resources, Software, Investigation.

Software, Investigation.

Resources, Software, Investigation, Methodology.

Investigation.

Data curation, Methodology.

Software.

Resources, Software, Investigation.

Resources, Investigation.

Investigation, Methodology.

Resources, Software.

Investigation.

Investigation.

Investigation.

Resources, Supervision.

Resources, Supervision.

Resources.

Resources.

Resources.

Resources, Supervision.

Resources, Software, Supervision.

Resources, Software, Supervision, Writing—review and editing.

Resources, Software, Supervision.

Resources, Software, Supervision, Writing—review and editing.

Resources, Software, Supervision, Funding acquisition, Writing—review and editing.

Conceptualization, Resources, Supervision, Funding acquisition, Writing—original draft, Writing—review and editing.

Conceptualization, Resources, Supervision, Funding acquisition, Writing—original draft, Writing—review and editing.

Additional files

Transparent reporting form
DOI: 10.7554/eLife.27159.036

Major datasets

The following dataset was generated:

Cato LNeeb AArmant OGourain VCato ACBrown M2017Targeting the androgen receptor N-terminus via the cochaperone Bag-1Lhttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE89939 also see https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE89917Publicly available at the NCBI Gene Expression Omnibus (accession no: GSE89939)

References

  1. Abramoff MD, Magalhães PJ, Ram SJ. Image processing with ImageJ. Biophotonics International. 2004;11:36–42. [Google Scholar]
  2. Adelmant GO, Cardoza JD, Ficarro SB, Sikorski TW, Zhang Y, Marto JA. Affinity and chemical enrichment for mass spectrometry-based proteomics analyses. In: Lazarev A. V, Ivanov A. R, editors. Sample Preparation in Biological Mass Spectrometry. New York: Springer; 2011. pp. 437–486. [Google Scholar]
  3. Alberti S, Esser C, Höhfeld J. BAG-1--a nucleotide exchange factor of Hsc70 with multiple cellular functions. Cell Stress & Chaperones. 2003;8:225–231. doi: 10.1379/1466-1268(2003)008&#x0003c;0225:BNEFOH&#x0003e;2.0.CO;2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Anders S, Pyl PT, Huber W. HTSeq--a Python framework to work with high-throughput sequencing data. Bioinformatics. 2015;31:166–169. doi: 10.1093/bioinformatics/btu638. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Andersen RJ, Mawji NR, Wang J, Wang G, Haile S, Myung JK, Watt K, Tam T, Yang YC, Bañuelos CA, Williams DE, McEwan IJ, Wang Y, Sadar MD. Regression of castrate-recurrent prostate cancer by a small-molecule inhibitor of the amino-terminus domain of the androgen receptor. Cancer Cell. 2010;17:535–546. doi: 10.1016/j.ccr.2010.04.027. [DOI] [PubMed] [Google Scholar]
  6. Askenazi M, Parikh JR, Marto JA. mzAPI: a new strategy for efficiently sharing mass spectrometry data. Nature Methods. 2009;6:240–241. doi: 10.1038/nmeth0409-240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Balchin D, Hayer-Hartl M, Hartl FU. In vivo aspects of protein folding and quality control. Science. 2016;353:aac4354. doi: 10.1126/science.aac4354. [DOI] [PubMed] [Google Scholar]
  8. Beer TM, Armstrong AJ, Rathkopf DE, Loriot Y, Sternberg CN, Higano CS, Iversen P, Bhattacharya S, Carles J, Chowdhury S, Davis ID, de Bono JS, Evans CP, Fizazi K, Joshua AM, Kim CS, Kimura G, Mainwaring P, Mansbach H, Miller K, Noonberg SB, Perabo F, Phung D, Saad F, Scher HI, Taplin ME, Venner PM, Tombal B, PREVAIL Investigators Enzalutamide in metastatic prostate cancer before chemotherapy. New England Journal of Medicine. 2014;371:424–433. doi: 10.1056/NEJMoa1405095. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Brehmer D, Rüdiger S, Gässler CS, Klostermeier D, Packschies L, Reinstein J, Mayer MP, Bukau B. Tuning of chaperone activity of Hsp70 proteins by modulation of nucleotide exchange. Nature Structural Biology. 2001;8:427–432. doi: 10.1038/87588. [DOI] [PubMed] [Google Scholar]
  10. Briknarová K, Takayama S, Brive L, Havert ML, Knee DA, Velasco J, Homma S, Cabezas E, Stuart J, Hoyt DW, Satterthwait AC, Llinás M, Reed JC, Ely KR. Structural analysis of BAG1 cochaperone and its interactions with Hsc70 heat shock protein. Nature Structural Biology. 2001;8:349–352. doi: 10.1038/86236. [DOI] [PubMed] [Google Scholar]
  11. Bulusu KC, Tym JE, Coker EA, Schierz AC, Al-Lazikani B. canSAR: updated cancer research and drug discovery knowledgebase. Nucleic Acids Research. 2014;42:D1040–D1047. doi: 10.1093/nar/gkt1182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Cermak T, Doyle EL, Christian M, Wang L, Zhang Y, Schmidt C, Baller JA, Somia NV, Bogdanove AJ, Voytas DF. Efficient design and assembly of custom TALEN and other TAL effector-based constructs for DNA targeting. Nucleic Acids Research. 2011;39:e82. doi: 10.1093/nar/gkr218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Chen J, Xiong J, Liu H, Chernenko G, Tang SC. Distinct BAG-1 isoforms have different anti-apoptotic functions in BAG-1-transfected C33A human cervical carcinoma cell line. Oncogene. 2002;21:7050–7059. doi: 10.1038/sj.onc.1205845. [DOI] [PubMed] [Google Scholar]
  14. Claessens F, Denayer S, Van Tilborgh N, Kerkhofs S, Helsen C, Haelens A. Diverse roles of androgen receptor (AR) domains in AR-mediated signaling. Nuclear Receptor Signaling. 2008;6:e008. doi: 10.1621/nrs.06008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Clemo NK, Collard TJ, Southern SL, Edwards KD, Moorghen M, Packham G, Hague A, Paraskeva C, Williams AC. BAG-1 is up-regulated in colorectal tumour progression and promotes colorectal tumour cell survival through increased NF-kappaB activity. Carcinogenesis. 2008;29:849–857. doi: 10.1093/carcin/bgn004. [DOI] [PubMed] [Google Scholar]
  16. Crocoll A, Blum M, Cato AC. Isoform-specific expression of BAG-1 in mouse development. Mechanisms of Development. 2000;91:355–359. doi: 10.1016/S0925-4773(99)00284-1. [DOI] [PubMed] [Google Scholar]
  17. Culig Z, Hoffmann J, Erdel M, Eder IE, Hobisch A, Hittmair A, Bartsch G, Utermann G, Schneider MR, Parczyk K, Klocker H. Switch from antagonist to agonist of the androgen receptor bicalutamide is associated with prostate tumour progression in a new model system. British Journal of Cancer. 1999;81:242–251. doi: 10.1038/sj.bjc.6690684. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Cutress RI, Townsend PA, Sharp A, Maison A, Wood L, Lee R, Brimmell M, Mullee MA, Johnson PW, Royle GT, Bateman AC, Packham G. The nuclear BAG-1 isoform, BAG-1L, enhances oestrogen-dependent transcription. Oncogene. 2003;22:4973–4982. doi: 10.1038/sj.onc.1206688. [DOI] [PubMed] [Google Scholar]
  19. de Bono JS, Logothetis CJ, Molina A, Fizazi K, North S, Chu L, Chi KN, Jones RJ, Goodman OB, Saad F, Staffurth JN, Mainwaring P, Harland S, Flaig TW, Hutson TE, Cheng T, Patterson H, Hainsworth JD, Ryan CJ, Sternberg CN, Ellard SL, Fléchon A, Saleh M, Scholz M, Efstathiou E, Zivi A, Bianchini D, Loriot Y, Chieffo N, Kheoh T, Haqq CM, Scher HI, COU-AA-301 Investigators Abiraterone and increased survival in metastatic prostate cancer. New England Journal of Medicine. 2011;364:1995–2005. doi: 10.1056/NEJMoa1014618. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. De Mol E, Fenwick RB, Phang CT, Buzón V, Szulc E, de la Fuente A, Escobedo A, García J, Bertoncini CW, Estébanez-Perpiñá E, McEwan IJ, Riera A, Salvatella X. EPI-001, A Compound Active against Castration-Resistant Prostate Cancer, Targets Transactivation Unit 5 of the Androgen Receptor. ACS Chemical Biology. 2016;11:2499–2505. doi: 10.1021/acschembio.6b00182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Delaglio F, Grzesiek S, Vuister GW, Zhu G, Pfeifer J, Bax A. NMRPipe: a multidimensional spectral processing system based on UNIX pipes. Journal of Biomolecular NMR. 1995;6:277–293. doi: 10.1007/BF00197809. [DOI] [PubMed] [Google Scholar]
  22. Detre S, Saclani Jotti G, Dowsett M. A "quickscore" method for immunohistochemical semiquantitation: validation for oestrogen receptor in breast carcinomas. Journal of Clinical Pathology. 1995;48:876–878. doi: 10.1136/jcp.48.9.876. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Ding Z, Yang X, Pater A, Tang SC. Resistance to apoptosis is correlated with the reduced caspase-3 activation and enhanced expression of antiapoptotic proteins in human cervical multidrug-resistant cells. Biochemical and Biophysical Research Communications. 2000;270:415–420. doi: 10.1006/bbrc.2000.2432. [DOI] [PubMed] [Google Scholar]
  24. Dyson HJ, Wright PE. Intrinsically unstructured proteins and their functions. Nature Reviews Molecular Cell Biology. 2005;6:197–208. doi: 10.1038/nrm1589. [DOI] [PubMed] [Google Scholar]
  25. Eder IE, Egger M, Neuwirt H, Seifarth C, Maddalo D, Desiniotis A, Schäfer G, Puhr M, Bektic J, Cato AC, Klocker H. Enhanced inhibition of prostate tumor growth by dual targeting the androgen receptor and the regulatory subunit type iα of protein kinase a in vivo. International Journal of Molecular Sciences. 2013;14:11942–11962. doi: 10.3390/ijms140611942. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Enthammer M, Papadakis ES, Salomé Gachet M, Deutsch M, Schwaiger S, Koziel K, Ashraf MI, Khalid S, Wolber G, Packham G, Cutress RI, Stuppner H, Troppmair J. Isolation of a novel thioflavin S-derived compound that inhibits BAG-1-mediated protein interactions and targets BRAF inhibitor-resistant cell lines. Molecular Cancer Therapeutics. 2013;12:2400–2414. doi: 10.1158/1535-7163.MCT-13-0142. [DOI] [PubMed] [Google Scholar]
  27. Estébanez-Perpiñá E, Arnold LA, Arnold AA, Nguyen P, Rodrigues ED, Mar E, Bateman R, Pallai P, Shokat KM, Baxter JD, Guy RK, Webb P, Fletterick RJ. A surface on the androgen receptor that allosterically regulates coactivator binding. PNAS. 2007;104:16074–16079. doi: 10.1073/pnas.0708036104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Ficarro SB, Zhang Y, Lu Y, Moghimi AR, Askenazi M, Hyatt E, Smith ED, Boyer L, Schlaeger TM, Luckey CJ, Marto JA. Improved electrospray ionization efficiency compensates for diminished chromatographic resolution and enables proteomics analysis of tyrosine signaling in embryonic stem cells. Analytical Chemistry. 2009;81:3440–3447. doi: 10.1021/ac802720e. [DOI] [PubMed] [Google Scholar]
  29. Frank R. The SPOT-synthesis technique. Synthetic peptide arrays on membrane supports--principles and applications. Journal of immunological methods. 2002;267:13–26. doi: 10.1016/S0022-1759(02)00137-0. [DOI] [PubMed] [Google Scholar]
  30. Froesch BA, Takayama S, Reed JC. BAG-1L protein enhances androgen receptor function. Journal of Biological Chemistry. 1998;273:11660–11666. doi: 10.1074/jbc.273.19.11660. [DOI] [PubMed] [Google Scholar]
  31. Groner AC, Cato L, de Tribolet-Hardy J, Bernasocchi T, Janouskova H, Melchers D, Houtman R, Cato AC, Tschopp P, Gu L, Corsinotti A, Zhong Q, Fankhauser C, Fritz C, Poyet C, Wagner U, Guo T, Aebersold R, Garraway LA, Wild PJ, Theurillat JP, Brown M. TRIM24 Is an oncogenic transcriptional activator in prostate cancer. Cancer Cell. 2016;29:846–858. doi: 10.1016/j.ccell.2016.04.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Guo Z, Yang X, Sun F, Jiang R, Linn DE, Chen H, Chen H, Kong X, Melamed J, Tepper CG, Kung HJ, Brodie AM, Edwards J, Qiu Y. A novel androgen receptor splice variant is up-regulated during prostate cancer progression and promotes androgen depletion-resistant growth. Cancer Research. 2009;69:2305–2313. doi: 10.1158/0008-5472.CAN-08-3795. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Guzey M, Takayama S, Reed JC. BAG1L enhances trans-activation function of the vitamin D receptor. Journal of Biological Chemistry. 2000;275:40749–40756. doi: 10.1074/jbc.M004977200. [DOI] [PubMed] [Google Scholar]
  34. Helsen C, Van den Broeck T, Voet A, Prekovic S, Van Poppel H, Joniau S, Claessens F. Androgen receptor antagonists for prostate cancer therapy. Endocrine Related Cancer. 2014;21:T105–T118. doi: 10.1530/ERC-13-0545. [DOI] [PubMed] [Google Scholar]
  35. Hu R, Lu C, Mostaghel EA, Yegnasubramanian S, Gurel M, Tannahill C, Edwards J, Isaacs WB, Nelson PS, Bluemn E, Plymate SR, Luo J. Distinct transcriptional programs mediated by the ligand-dependent full-length androgen receptor and its splice variants in castration-resistant prostate cancer. Cancer Research. 2012;72:3457–3462. doi: 10.1158/0008-5472.CAN-11-3892. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Jehle K, Cato L, Neeb A, Muhle-Goll C, Jung N, Smith EW, Buzon V, Carbó LR, Estébanez-Perpiñá E, Schmitz K, Fruk L, Luy B, Chen Y, Cox MB, Bräse S, Brown M, Cato AC. Coregulator control of androgen receptor action by a novel nuclear receptor-binding motif. Journal of Biological Chemistry. 2014;289:8839–8851. doi: 10.1074/jbc.M113.534859. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Jenster G, van der Korput HA, Trapman J, Brinkmann AO. Identification of two transcription activation units in the N-terminal domain of the human androgen receptor. Journal of Biological Chemistry. 1995;270:7341–7346. doi: 10.1074/jbc.270.13.7341. [DOI] [PubMed] [Google Scholar]
  38. Johnson BA. Protein NMR Techniques. New Jersey: Humana Press; 2004. Using NMR view to visualize and analyze the NMR spectra of macromolecules; pp. 313–352. [Google Scholar]
  39. Knee DA, Froesch BA, Nuber U, Takayama S, Reed JC. Structure-function analysis of Bag1 proteins. Effects on androgen receptor transcriptional activity. The Journal of biological chemistry. 2001;276:12718–12724. doi: 10.1074/jbc.M010841200. [DOI] [PubMed] [Google Scholar]
  40. Krajewska M, Turner BC, Shabaik A, Krajewski S, Reed JC. Expression of BAG-1 protein correlates with aggressive behavior of prostate cancers. The Prostate. 2006;66:801–810. doi: 10.1002/pros.20384. [DOI] [PubMed] [Google Scholar]
  41. Labbadia J, Morimoto RI. The biology of proteostasis in aging and disease. Annual Review of Biochemistry. 2015;84:435–464. doi: 10.1146/annurev-biochem-060614-033955. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Latysheva NS, Flock T, Weatheritt RJ, Chavali S, Babu MM. How do disordered regions achieve comparable functions to structured domains? Protein Science. 2015;24:909–922. doi: 10.1002/pro.2674. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Lavery DN, McEwan IJ. Structural characterization of the native NH2-terminal transactivation domain of the human androgen receptor: a collapsed disordered conformation underlies structural plasticity and protein-induced folding. Biochemistry. 2008;47:3360–3369. doi: 10.1021/bi702221e. [DOI] [PubMed] [Google Scholar]
  44. Liu HY, Wang ZM, Bai Y, Wang M, Li Y, Wei S, Zhou QH, Chen J. Different BAG-1 isoforms have distinct functions in modulating chemotherapeutic-induced apoptosis in breast cancer cells. Acta Pharmacologica Sinica. 2009;30:235–241. doi: 10.1038/aps.2008.21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biology. 2014;15:550. doi: 10.1186/s13059-014-0550-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Maddalo D, Neeb A, Jehle K, Schmitz K, Muhle-Goll C, Shatkina L, Walther TV, Bruchmann A, Gopal SM, Wenzel W, Ulrich AS, Cato AC. A peptidic unconjugated GRP78/BiP ligand modulates the unfolded protein response and induces prostate cancer cell death. PLoS One. 2012;7:e45690. doi: 10.1371/journal.pone.0045690. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Mayer MP, Bukau B. Hsp70 chaperones: cellular functions and molecular mechanism. Cellular and Molecular Life Sciences. 2005;62:670–684. doi: 10.1007/s00018-004-4464-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Mäki HE, Saramäki OR, Shatkina L, Martikainen PM, Tammela TL, van Weerden WM, Vessella RL, Cato AC, Visakorpi T. Overexpression and gene amplification of BAG-1L in hormone-refractory prostate cancer. The Journal of Pathology. 2007;212:395–401. doi: 10.1002/path.2186. [DOI] [PubMed] [Google Scholar]
  49. Mohammed H, D'Santos C, Serandour AA, Ali HR, Brown GD, Atkins A, Rueda OM, Holmes KA, Theodorou V, Robinson JL, Zwart W, Saadi A, Ross-Innes CS, Chin SF, Menon S, Stingl J, Palmieri C, Caldas C, Carroll JS. Endogenous purification reveals GREB1 as a key estrogen receptor regulatory factor. Cell Reports. 2013;3:342–349. doi: 10.1016/j.celrep.2013.01.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Mosser DD, Morimoto RI. Molecular chaperones and the stress of oncogenesis. Oncogene. 2004;23:2907–2918. doi: 10.1038/sj.onc.1207529. [DOI] [PubMed] [Google Scholar]
  51. Mostaghel EA, Plymate SR, Montgomery B. Molecular pathways: targeting resistance in the androgen receptor for therapeutic benefit. Clinical Cancer Research. 2014;20:791–798. doi: 10.1158/1078-0432.CCR-12-3601. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Ni W, Chen B, Zhou G, Lu C, Xiao M, Guan C, Zhang Y, He S, Shen A, Ni R. Overexpressed nuclear BAG-1 in human hepatocellular carcinoma is associated with poor prognosis and resistance to doxorubicin. Journal of Cellular Biochemistry. 2013;114:2120–2130. doi: 10.1002/jcb.24560. [DOI] [PubMed] [Google Scholar]
  53. Papadakis ES, Barker CR, Syed H, Reeves T, Schwaiger S, Stuppner H, Troppmair J, Blaydes JP, Cutress RI. The Bag-1 inhibitor, Thio-2, reverses an atypical 3D morphology driven by Bag-1L overexpression in a MCF-10A model of ductal carcinoma in situ. Oncogenesis. 2016;5:e215. doi: 10.1038/oncsis.2016.10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Parikh JR, Askenazi M, Ficarro SB, Cashorali T, Webber JT, Blank NC, Zhang Y, Marto JA. multiplierz: an extensible API based desktop environment for proteomics data analysis. BMC Bioinformatics. 2009;10:364. doi: 10.1186/1471-2105-10-364. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Powers ET, Balch WE. Diversity in the origins of proteostasis networks--a driver for protein function in evolution. Nature Reviews Molecular Cell Biology. 2013;14:237–248. doi: 10.1038/nrm3542. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Qin Q, Mei S, Wu Q, Sun H, Li L, Taing L, Chen S, Li F, Liu T, Zang C, Xu H, Chen Y, Meyer CA, Zhang Y, Brown M, Long HW, Liu XS. ChiLin: a comprehensive ChIP-seq and DNase-seq quality control and analysis pipeline. BMC Bioinformatics. 2016;17:404. doi: 10.1186/s12859-016-1274-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Rorke S, Murphy S, Khalifa M, Chernenko G, Tang SC. Prognostic significance of BAG-1 expression in nonsmall cell lung cancer. International Journal of Cancer. 2001;95:317–322. doi: 10.1002/1097-0215(20010920)95:5&#x0003c;317::AID-IJC1055&#x0003e;3.0.CO;2-J. [DOI] [PubMed] [Google Scholar]
  58. Sattler M, Schleucher J, Griesinger C. Heteronuclear multidimensional NMR experiments for the structure determination of proteins in solution employing pulsed field gradients. Progress in Nuclear Magnetic Resonance Spectroscopy. 1999;34:93–158. doi: 10.1016/S0079-6565(98)00025-9. [DOI] [Google Scholar]
  59. Schaufele F, Carbonell X, Guerbadot M, Borngraeber S, Chapman MS, Ma AA, Miner JN, Diamond MI. The structural basis of androgen receptor activation: intramolecular and intermolecular amino-carboxy interactions. PNAS. 2005;102:9802–9807. doi: 10.1073/pnas.0408819102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Scher HI, Fizazi K, Saad F, Taplin ME, Sternberg CN, Miller K, de Wit R, Mulders P, Chi KN, Shore ND, Armstrong AJ, Flaig TW, Fléchon A, Mainwaring P, Fleming M, Hainsworth JD, Hirmand M, Selby B, Seely L, de Bono JS, AFFIRM Investigators Increased survival with enzalutamide in prostate cancer after chemotherapy. New England Journal of Medicine. 2012;367:1187–1197. doi: 10.1056/NEJMoa1207506. [DOI] [PubMed] [Google Scholar]
  61. Shatkina L, Mink S, Rogatsch H, Klocker H, Langer G, Nestl A, Cato AC. The cochaperone Bag-1L enhances androgen receptor action via interaction with the NH2-terminal region of the receptor. Molecular and Cellular Biology. 2003;23:7189–7197. doi: 10.1128/MCB.23.20.7189-7197.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Sondermann H, Scheufler C, Schneider C, Hohfeld J, Hartl FU, Moarefi I. Structure of a Bag/Hsc70 complex: convergent functional evolution of Hsp70 nucleotide exchange factors. Science. 2001;291:1553–1557. doi: 10.1126/science.1057268. [DOI] [PubMed] [Google Scholar]
  63. Taipale M, Tucker G, Peng J, Krykbaeva I, Lin ZY, Larsen B, Choi H, Berger B, Gingras AC, Lindquist S. A quantitative chaperone interaction network reveals the architecture of cellular protein homeostasis pathways. Cell. 2014;158:434–448. doi: 10.1016/j.cell.2014.05.039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Takayama S, Krajewski S, Krajewska M, Kitada S, Zapata JM, Kochel K, Knee D, Scudiero D, Tudor G, Miller GJ, Miyashita T, Yamada M, Reed JC. Expression and location of Hsp70/Hsc-binding anti-apoptotic protein BAG-1 and its variants in normal tissues and tumor cell lines. Cancer research. 1998;58:3116–3131. [PubMed] [Google Scholar]
  65. Townsend PA, Cutress RI, Sharp A, Brimmell M, Packham G. BAG-1: a multifunctional regulator of cell growth and survival. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 2003a;1603:83–98. doi: 10.1016/S0304-419X(03)00002-7. [DOI] [PubMed] [Google Scholar]
  66. Townsend PA, Cutress RI, Sharp A, Brimmell M, Packham G. BAG-1 prevents stress-induced long-term growth inhibition in breast cancer cells via a chaperone-dependent pathway. Cancer research. 2003b;63:4150–4157. [PubMed] [Google Scholar]
  67. Trapnell C, Pachter L, Salzberg SL. TopHat: discovering splice junctions with RNA-Seq. Bioinformatics. 2009;25:1105–1111. doi: 10.1093/bioinformatics/btp120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Tym JE, Mitsopoulos C, Coker EA, Razaz P, Schierz AC, Antolin AA, Al-Lazikani B. canSAR: an updated cancer research and drug discovery knowledgebase. Nucleic Acids Research. 2016;44:D938–D943. doi: 10.1093/nar/gkv1030. [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Vranken WF, Boucher W, Stevens TJ, Fogh RH, Pajon A, Llinas M, Ulrich EL, Markley JL, Ionides J, Laue ED. The CCPN data model for NMR spectroscopy: development of a software pipeline. Proteins: Structure, Function, and Bioinformatics. 2005;59:687–696. doi: 10.1002/prot.20449. [DOI] [PubMed] [Google Scholar]
  70. Wang Q, Li W, Liu XS, Carroll JS, Jänne OA, Keeton EK, Chinnaiyan AM, Pienta KJ, Brown M. A hierarchical network of transcription factors governs androgen receptor-dependent prostate cancer growth. Molecular Cell. 2007;27:380–392. doi: 10.1016/j.molcel.2007.05.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  71. Wang Q, Li W, Zhang Y, Yuan X, Xu K, Yu J, Chen Z, Beroukhim R, Wang H, Lupien M, Wu T, Regan MM, Meyer CA, Carroll JS, Manrai AK, Jänne OA, Balk SP, Mehra R, Han B, Chinnaiyan AM, Rubin MA, True L, Fiorentino M, Fiore C, Loda M, Kantoff PW, Liu XS, Brown M. Androgen receptor regulates a distinct transcription program in androgen-independent prostate cancer. Cell. 2009;138:245–256. doi: 10.1016/j.cell.2009.04.056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Welti J, Rodrigues DN, Sharp A, Sun S, Lorente D, Riisnaes R, Figueiredo I, Zafeiriou Z, Rescigno P, de Bono JS, Plymate SR. Analytical validation and clinical qualification of a new immunohistochemical assay for androgen receptor splice variant-7 protein expression in metastatic castration-resistant prostate cancer. European Urology. 2016;70:599–608. doi: 10.1016/j.eururo.2016.03.049. [DOI] [PMC free article] [PubMed] [Google Scholar]
  73. Wright PE, Dyson HJ. Linking folding and binding. Current Opinion in Structural Biology. 2009;19:31–38. doi: 10.1016/j.sbi.2008.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  74. Yang X, Chernenko G, Hao Y, Ding Z, Pater MM, Pater A, Tang SC. Human BAG-1/RAP46 protein is generated as four isoforms by alternative translation initiation and overexpressed in cancer cells. Oncogene. 1998;17:981–989. doi: 10.1038/sj.onc.1202032. [DOI] [PubMed] [Google Scholar]
  75. Zapata JM, Krajewska M, Krajewski S, Huang RP, Takayama S, Wang HG, Adamson E, Reed JC. Expression of multiple apoptosis-regulatory genes in human breast cancer cell lines and primary tumors. Breast Cancer Research and Treatment. 1998;47:129–140. doi: 10.1023/A:1005940832123. [DOI] [PubMed] [Google Scholar]

Decision letter

Editor: Chi Van Dang1

In the interests of transparency, eLife includes the editorial decision letter and accompanying author responses. A lightly edited version of the letter sent to the authors after peer review is shown, indicating the most substantive concerns; minor comments are not usually included.

Thank you for submitting your article "Transactivation by the intrinsically disordered androgen receptor N-terminal domain is enabled by the cochaperone Bag-1L" for consideration by eLife. Your article has been reviewed by three peer reviewers, one of whom, Chi Van Dang, is a member of our Board of Reviewing Editors, and the evaluation has been overseen by Charles Sawyers as the Senior Editor. The following individual involved in review of your submission has agreed to reveal their identity: Steven Metallo (Reviewer #2).

The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a response to the critiques, which are quite significant.

Summary:

The manuscript by Cato et al. provides an analysis of the interaction of the androgen receptor (AR) transactivation domain (AF-1) with the chaperone BAG1L, which is demonstrated to be required for AR's full activity. As such, BAG1L may play a role in castrate-resistant prostate cancer (CRPC). The authors document that BAG1L is necessary for proper conformation of AR through FRET reporters and for DNA binding of AR to target sites. Using a peptide screen and mutational analysis a BAG1L domain required for docking with AR was identified. Further structural analysis and reconstitution of BAG1L KO cells with WT or mutant BAG1L demonstrated the necessity of this interaction domain of BAG1L or AR function in cells. Structural analysis further uncover a potentially druggable BAG1L pocket flanking this interaction domain. Key findings are supported by data to demonstrate: that loss of Bag-1L inhibits AR activity (as monitored by transcriptome profiling and ChIP-seq), prostate cancer growth using hormone-dependent model systems; that the Bag-1L/AR interaction is mediated by discrete domains in Bag-1L within a potentially targetable Bag domain; that Bag-1L enhances prostate cancer growth; and that in clinical specimens, nuclear Bag-1L levels increase during disease progression, predicting a reduced clinical benefit from the ligand-targeting agent abiraterone.

Essential revisions:

1) The concept that targeting Bag-1L to suppress AR activity and prostate cancer growth is novel, but additional experimentation that would enhance confidence in these findings would be to assess the Bag-1L requirement in additional model systems. The present study largely utilized a single model of hormone-therapy sensitive disease (LNCaP). Demonstration that the Bag-1L is maintained in other models, especially in castrate-resistant disease, should be included.

2) The model in Figure 6 does not seem to be dependent on new, specific data from the manuscript. The title of the current manuscript "Transactivation by the intrinsically disordered androgen receptor N-terminal domain is enabled by the cochaperone Bag-1L" could be anticipated from the authors' previous papers especially Shatkina et al., 2003 "The Cochaperone Bag-1L Enhances Androgen Receptor Action via Interaction with the NH2-Terminal Region of the Receptor". The authors are fully transparent about these previous results, stating clearly (e.g. in subsection “The BAG domain of Bag-1L binds the tau-5 region of AR”) that they have already shown that the BAG domain interacts primarily with AR tau-5. While the individual experiments each adds some information, they do not, together, lead to a novel conclusion.

3) The authors take advantage of previous AR-NTD assignments to demonstrate clear loss of signal in tau-5 of AR (Figure 3A) that is specifically dependent on Bag-1L – indicative of interaction in this region. The authors have previously shown that the tau-5 domain has substantial helical propensity. Here the authors indicate that loss of signal in the tau-5 domain is "suggesting that wild-type BAG domain interacts with a specific conformation of this sub-domain." (subsection “The Bag-1L:AR interaction alters the structure of the AR NTD and is druggable”) There are no changes in the chemical shifts of the remaining, observable Bag-1L, indicating that the observed conformational ensemble is the same. There is no direct indication from the experiments that Bag-1L interacts with a specific conformation of tau-5 (either through conformational selection or induced fit). Binding of IDR regions often involve coupled folding and binding but there are examples of IDRs engaged in specific binding without folding. From the BAG domain side, there are NMR spectra (Figure 2—figure supplement 1) but no indication of experiments looking at potential chemical shift changes in the presence of AR. Those experiments may have indicated specific interacting regions on the BAG domain. The NMR experiments presented do not provide substantially new information. This manuscript would be more compelling if initial tool compounds were identified from the conceptual framework of inhibiting a chaperone to keep an intrinsically disordered protein inactive.

4) The identification of the triple mutant (CMut) has experimental utility, however it does not provide information about the actual BAG-AR interaction. As the substantial changes in the NMR make clear (Figure 2—figure supplement 1) and the authors point out (in subsection “The BAG domain of Bag-1L binds the tau-5 region of AR”) there is an overall change in the BAG domain caused by these mutations so that their actual positions are not necessarily important. The canSAR screen for binding sites (Figure 3B) identified a potential "ligandable" site (subsection “The Bag-1L:AR interaction alters the structure of the AR NTD and is druggable”), although no defined "druggable" sites. This screen was not dependent on the present data. From the data it is not possible to tell if the presence of the Lys mutants of CMut at or near the edges of this cavity is coincidental or meaningful. Mutations within the cavity may have provided clearer evidence or whether the site is potentially useful.

5) Bag-1L has multiple functions outside AR regulation that may contribute to the anti-tumor effects observed in the xenograft studies. Investigation of the impact of Bag-1L alteration in the xenograft tumors should be explored (eg impact on AR signaling, proliferation, apoptosis, etc). Given the role of Bag-1L as a cochaperone, and nucleotide exchange factor for Hsp70, it would be important to determine the role of Hsp70 in the observed effects.

eLife. 2017 Aug 10;6:e27159. doi: 10.7554/eLife.27159.041

Author response


Essential revisions:

1) The concept that targeting Bag-1L to suppress AR activity and prostate cancer growth is novel, but additional experimentation that would enhance confidence in these findings would be to assess the Bag-1L requirement in additional model systems. The present study largely utilized a single model of hormone-therapy sensitive disease (LNCaP). Demonstration that the Bag-1L is maintained in other models, especially in castrate-resistant disease, should be included.

We have investigated the function of Bag-1L in LNCaP95 and LNCaP-abl cells, two castrate-resistant prostate cancer (CRPC) models derived from the hormone-sensitive LNCaP cell line. Overexpression of wild-type Bag-1L did not affect CRPC cell line growth, presumably due to endogenously elevated levels of Bag-1L in these lines compared to the parental LNCaP cells. However, we observed a dominant negative effect on cell growth when overexpressing the Bag-1L CMut, which is defective in AR interaction. This result is in agreement with findings in LNCaP cells and suggests that Bag-1L remains important for AR function at CRPC status. The described data has been included in Figure 5E and F and Figure 5—figure supplement 3 to 5. The corresponding text (subsection “Bag-1L promotes androgen-dependent and -independent PCa growth”, figure legends for Figure 5 and Figure 5—figure supplement 3) and Methods and material section (subsection “Cell line preparation and maintenance”) have been updated to represent the new results.

2) The model in figure 6 does not seem to be dependent on new, specific data from the manuscript. The title of the current manuscript "Transactivation by the intrinsically disordered androgen receptor N-terminal domain is enabled by the cochaperone Bag-1L" could be anticipated from the authors' previous papers especially Shatkina et al., 2003 "The Cochaperone Bag-1L Enhances Androgen Receptor Action via Interaction with the NH2-Terminal Region of the Receptor". The authors are fully transparent about these previous results, stating clearly (e.g. in subsection “The BAG domain of Bag-1L binds the tau-5 region of AR”) that they have already shown that the BAG domain interacts primarily with AR tau-5. While the individual experiments each adds some information, they do not, together, lead to a novel conclusion.

The novel findings in this study are (1) the discovery of specific residues in the BAG domain of BAG-1L required for the interaction with the AR tau-5 domain; (2) the impact of Bag-1L on the AR cistrome; (3) demonstration that the effect of Bag-1L on AR function is through a change in AR conformation; (4) comprehensive analysis of the Bag-1L interactome and its alterations in response to BAG domain mutation; (5) identification of a potential druggable pocket in Bag-1L. In addition, in the revised manuscript we have included data utilizing a tool Bag-1 inhibitor that prevents the Bag-1L:AR interaction. We agree with the reviewers that the present title does not highlight the novelty of the present manuscript. To address this concern, we have changed the title of the current manuscript to: “Development of Bag-1L as a Therapeutic Target in Androgen Receptor-Dependent Prostate Cancer”. Moreover, we have updated the model (Figure 7) and have made minor changes to the text and figure legend relevant to Figure 7.

3) The authors take advantage of previous AR-NTD assignments to demonstrate clear loss of signal in tau-5 of AR (Figure 3A) that is specifically dependent on Bag-1L – indicative of interaction in this region. The authors have previously shown that the tau-5 domain has substantial helical propensity. Here the authors indicate that loss of signal in the tau-5 domain is "suggesting that wild-type BAG domain interacts with a specific conformation of this sub-domain." (subsection “The Bag-1L:AR interaction alters the structure of the AR NTD and is druggable”) There are no changes in the chemical shifts of the remaining, observable Bag-1L, indicating that the observed conformational ensemble is the same. There is no direct indication from the experiments that Bag-1L interacts with a specific conformation of tau-5 (either through conformational selection or induced fit). Binding of IDR regions often involve coupled folding and binding but there are examples of IDRs engaged in specific binding without folding. From the BAG domain side, there are NMR spectra (Figure 2—figure supplement 1) but no indication of experiments looking at potential chemical shift changes in the presence of AR. Those experiments may have indicated specific interacting regions on the BAG domain. The NMR experiments presented do not provide substantially new information. This manuscript would be more compelling if initial tool compounds were identified from the conceptual framework of inhibiting a chaperone to keep an intrinsically disordered protein inactive.

We agree with the reviewers that we cannot confirm that the interaction between the Bag-domain and AR tau-5 occurs in a specific conformation. Although we observe a decrease of about 50% intensity in the resonances of AR (between residues 375 and 448) in the presence of Bag-1L, no chemical shifts changes were observed. Based on this data, we conclude that the AR tau-5 domain is the main interaction site, because the decreases in residue intensities that we observe in the rest of the AR-AF-1 domain are smaller. As previously shown by our characterization of the structural properties of AR-AF-1, the region of sequence that is involved in the interaction with Bag-1L has substantial secondary structure when unbound. We think that it is plausible that these structural properties play a role in the described interaction with Bag-1L, but since we did not measure the chemical shifts of the bound state of AR, we cannot substantiate this claim. For this reason, we agree with the reviewers that we should rephrase the sentence: “suggesting that wild-type BAG domain interacts with a specific conformation of this sub-domain”, which has now been updated in the manuscript (subsection “The Bag-1L:AR interaction alters the structure of the AR NTD and is druggable”). The proposed experiment of BAG domain NMR in response to the addition of AR tau-5 suggested by this reviewer may provide additional information on binding of these proteins, but these are technically very challenging studies due to the nature of the two proteins. We therefore propose to attempt these experiments in a separate study.

In response to the comments regarding the use of tool compounds, we have now added some novel data on the function of the BAG domain inhibitor Thio-2 (Figure 4). We have added an appropriate section in the text to explain those results (subsection “The Bag-1L:AR interaction can be inhibited by the thioflavin Thio-2”), as well as a relevant figure legend, a relevant section in the Discussion. We have also made some small additions to the Materials and methods.

4) The identification of the triple mutant (CMut) has experimental utility, however it does not provide information about the actual BAG-AR interaction. As the substantial changes in the NMR make clear (Figure 2—figure supplement 1) and the authors point out (in subsection “The BAG domain of Bag-1L binds the tau-5 region of AR”) there is an overall change in the BAG domain caused by these mutations so that their actual positions are not necessarily important. The canSAR screen for binding sites (Figure 3B) identified a potential "ligandable" site (subsection “The Bag-1L:AR interaction alters the structure of the AR NTD and is druggable”), although no defined "druggable" sites. This screen was not dependent on the present data. From the data it is not possible to tell if the presence of the Lys mutants of CMut at or near the edges of this cavity is coincidental or meaningful. Mutations within the cavity may have provided clearer evidence or whether the site is potentially useful.

The wild-type and CMut BAG domains have indistinguishable secondary structure, as shown in 13C correlation nuclear magnetic resonance (NMR) spectra to compare Cα and Cβ shifts (Figure 2—figure supplement 5). This suggests that the extent of α-helix formation essential for the interaction with AR is essentially unchanged for the two proteins. However, more than one third of the residues that make up the three antiparallel, helix bundles of the wild-type BAG domain shifted to new positions or demonstrated reduced signal intensities in 1H15N-HSQC NMR spectra in response to the K231/232/279A mutations (Figure 2—figure supplement 6). As suggested in our manuscript, this is most likely due to a destabilization of the BAG domain of Bag-1L caused by the three mutations. We agree with the reviewers that the NMR analysis presented here cannot be utilize to confirm the direct interaction of Bag-1L (through three lysine residues within the BAG domain) and the AR tau-5, given the points raised above. We can however confirm that the BAG domain of Bag-1L is necessary for the AR interaction, as it can no longer bind to AR in its unfolded conformation, which is the result of the triple mutation (CMut). We concur that other mutations within the BAG domain (such as mutations situated directly in the druggable cavity) might have similar effects. To address this, we have added data, where we have tested additional point mutations (and combination of point mutations) for their efficacy in inhibiting the Bag-1L-mediated AR transactivation in functional studies. The results are presented in Figure 2—figure supplement 4 and the accompanying text can be found in subsection “The BAG domain of Bag-1L binds the tau-5 region of AR” and Figure 2—figure supplement 4 figure legend. None of these additional mutations could be mapped to the druggable pocket of the Bag-1L BAG domain, although they all impaired the Bag-1L-mediated activation of AR AF1 activity. Conversely, several other mutations of the BAG domain (particularly in helix 1 and 2, such as residue 279) that did map directly onto, or the edge of the druggable pocket (Figure 3B), did not inhibit binding to AR tau-5 or repress AR transactivation (Figures 2C and 2E). We therefore believe that the overlap between the K231/232/279A mutation and the druggable cavity is indeed meaningful and not purely coincidental.

5) Bag-1L has multiple functions outside AR regulation that may contribute to the anti-tumor effects observed in the xenograft studies. Investigation of the impact of Bag-1L alteration in the xenograft tumors should be explored (eg impact on AR signaling, proliferation, apoptosis, etc). Given the role of Bag-1L as a cochaperone, and nucleotide exchange factor for Hsp70, it would be important to determine the role of Hsp70 in the observed effects.

We agree with the reviewers that Bag-1L has multiple functions outside AR regulation that may contribute to its anti-tumor effects in the xenograft studies. The many functions of Bag-1L originate mainly from its BAG domain, a protein binding surface for many cellular factors and signaling molecules. To explore the impact of Bag-1L alteration in AR signaling, apoptosis or proliferation, as suggested by the reviewers, we performed extensive in vitro mutagenesis studies of the BAG domain. This allowed us to separate the different function of Bag-1L and to specifically focus on its (Hsp70-independent) role on AR action. In addition to extensively testing the effect of Bag-1L alterations (through the study of CMut compared to wild-type Bag-1L) on AR-mediated cell growth in vitro and in xenograft studies (Figure 5), we have additionally carried out ChIP-seq and RNA-seq in LNCaP cells expressing the wild-type or CMut Bag-1L protein. We have now added the relevant data in Figure 2—figure supplement 2 and 3 and have updated the text accordingly to reflect these additions (i.e. Results subsection “The BAG domain of Bag-1L binds the tau-5 region of AR” and figure legends). Given the reproducibility of the growth experiments in vitro and in xenograft studies, we believe that the above-described functional experiments would result in similar outcomes and therefore would be redundant for inclusion in this manuscript. We have instead started experiments in which we have crossed Bag-1 knockout mice with two different prostate tumor models (TRAMP and PTEN knockout). Here where we see a significant decrease in tumor formation. We now plan to extend these studies to include mice with Bag-1L alterations. We believe that such animal studies will provide more detailed results that go beyond obtainable results from xenograft studies. However, such studies will take considerable time to complete and therefore cannot be included in this manuscript.

On the issue of Bag-1L functioning as a cochaperone of Hsp70, we have generated additional mutations, including a mutant that is defective in binding both AR and Hsp70 (D293A). Although such a mutation may implicate Hsp70 in the Bag-1L-mediated action on AR function, our main aim in this work was to identify mutations that would inhibit the BAG domain:AR interaction, independent of Hsp70. In line with recent findings of heat shock protein-independent functions of cochaperones (Taipale et al., 2014), we believe Bag-1L has a unique ability in regulating AR tau-5 activity, independent on Hsp70. In this connection, it is important to note that the residues of the Bag-1L CMut protein, which disrupt the BAG domain:AR tau-5 interaction, lie within helices 1 and 2 and are therefore distinct from the Hsp70 interaction sites in helix 3 (Sondermann et al., 2001).

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Figure 1—source data 1. Direct AR-target genes in TALEN control compared with Bag-1L KO cell lines.
    DOI: 10.7554/eLife.27159.007
    Figure 2—source data 1. List of Bag-1L interactors altered by the BAG domain mutation (≥2 standard deviations of Bag-1L/IgG control RIME).
    DOI: 10.7554/eLife.27159.015
    Figure 2—source data 2. Associated functions (FuncAssociate) of Bag-1L interactors altered by the BAG domain mutation.
    DOI: 10.7554/eLife.27159.016
    Figure 3—source data 1. Distinct 3D-snapshots of the BAG domain of Bag1/Bag-1L.
    elife-27159-fig3-data1.docx (130.9KB, docx)
    DOI: 10.7554/eLife.27159.018
    Table 1—source data 1. Association of nuclear Bag-1 or AR expression with clinical benefits from abiraterone therapy.

    HSPC: hormone sensitive prostate cancer, CRPC: castration-resistant prostate cancer, PSA: prostate specific antigen, HR: hazard ratio, 95% CI: 95% confidence intervals. a Univariate cox survival model.

    DOI: 10.7554/eLife.27159.033
    Table 1—source data 2. Clinical characteristics of patients at time of castration-resistant prostate cancer biopsy.

    CRPC: castration-resistant prostate cancer, ECOG PS: Eastern Cooperative Oncology Group performance status, IQR: interquartile range, SD: standard deviation, PSA: prostate specific antigen, n: number, pts: patients. at-test from linear regression model of Nuclear Bag-1 H-score at the time of CRPC biopsy bWald test from linear regression model of Nuclear Bag-1 H-score at the time of CRPC biopsy

    DOI: 10.7554/eLife.27159.034
    Transparent reporting form
    DOI: 10.7554/eLife.27159.036

    Articles from eLife are provided here courtesy of eLife Sciences Publications, Ltd

    RESOURCES