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HSP-90/kinase complexes are stabilized by the large PPIase FKB-6

Abstract

Protein kinases are important regulators in cellular signal transduction. As one major type of Hsp90 client, protein kinases rely on the ATP-dependent molecular chaperone Hsp90, which maintains their structure and supports their activation. Depending on client type, Hsp90 interacts with different cofactors. Here we report that besides the kinase-specific cofactor Cdc37 large PPIases of the Fkbp-type strongly bind to kinase•Hsp90•Cdc37 complexes. We evaluate the nucleotide regulation of these assemblies and identify prominent interaction sites in this quaternary complex. The synergistic interaction between the participating proteins and the conserved nature of the interaction suggests functions of the large PPIases Fkbp51/Fkbp52 and their nematode homolog FKB-6 as contributing factors to the kinase cycle of the Hsp90 machinery.

Introduction

The molecular chaperone Hsp90 is essential for cellular growth and via its client-base involved in cell metabolism, signal transduction, cell proliferation and apoptosis. The major Hsp90 clients are steroid hormone receptors and protein kinases. Both classes require association with Hsp90 and its cochaperones during their maturation and cellular function. A set of cochaperones, such as Hsp70 and Hsp40 contributes to their function. For each client class specific cofactors have been identified, like, p23, Hop and large PPIases for steroid hormone receptors and Cdc37 for kinases. Interactions between Cdc37 and Hsp90 have been reported both on the genetic1,2 and physical3 level and furthermore, have recently been confirmed in atomic detail4. Other cofactors of Hsp90, e.g., Aha15 are also reported to influence the activity and complex formation with kinase clients, such as B-Raf. Whether more cofactors are involved in the kinase processing cycle of Hsp90 remains elusive.

ATP binding and hydrolysis is a central step in the Hsp90 cycle. This reaction induces dramatic conformational changes in the Hsp90 dimer and thereby influences the affinity of Hsp90 to its cochaperones6, which regulate the conformational cycle of Hsp90. The conformational changes of Hsp90 are mainly coupled to an N-terminal dimerization, which can be fully blocked by the cofactor Hop/Sti17 and the Hsp90 inhibitory compounds geldanamycin and radicicol. Aha1 on the other hand accelerates the structural rearrangements and facilitates the dimerization. The cofactor p23 instead can decelerate the ATPase cycle of Hsp908, by stabilizing the dimerized conformation. Also the interaction between Hsp90 and Cdc37 is modulated by ATP, as the presence of ATP reduces the affinity between Hsp90 and Cdc379.

Protein kinases participate in complicated life cycles that include Hsp90-dependent regulation steps during their maturation and degradation. More than 40% of the known human kinases have been identified as client proteins of Hsp90 in mammals10. To date, kinase-associated chaperone complexes containing Hsp90 and its cofactor Cdc37, have been reported for many protein kinases, including B-Raf, v-Src and Akt11,12,13. Even though the importance of the Hsp90 chaperon system is well established, little is known about how the chaperone cooperates with its cofactors during the formation of these complexes.

Here, we use purified components to assemble Hsp90-complexes from nematode and mammalian origin with the solubilized kinase domain of B-Raf (sB-Raf). We analyze, which cofactors of Hsp90 additionally support the formation of sB-Raf•Cdc37•Hsp90 complexes, how nucleotide binding affects these complexes and how these complexes are organized in structural terms. Employing chemical crosslinking and LC–MS/MS, we reveal direct interaction sites among the chaperone proteins and sB-Raf helping to map the client binding sites in the chaperone and the contribution of the cofactors.

Materials and methods

Cloning, protein expression and purification

Human sB-Raf and other proteins were expressed from a pET expression vector with an N-terminal His6-tag in the E. coli strain BL21 (DE3) cod + . Cultures were incubated at 37 °C, induced with 1 mM IPTG at an OD600 of 0.6 and harvested 16 h post induction. For sB-Raf purification, cells were lysed in 25 mM Tris/HCl, pH 8, 1 mM DTT and 10% v/v glycerol. The lysate was clarified by centrifugation at 20,000 rpm for 45 min. sB-Raf was purified initially on a Resource S column by elution in 25 mM Tris/HCl, pH 8.0, 250 mM NaCl, 1 mM DTT, 10% v/v glycerol and further purified by size-exclusion chromatography on a Superdex 75 column in 25 mM Tris/HCl, pH 8, 1 mM DTT and 10% v/v glycerol. CDC-37, HSP-90, STI-1, FKB-6, PPH-5 and the components of the human Hsp90-system were captured on a HisTrap 5 mL FF column and then purified by gel filtration chromatography in 40 mM HEPES/KOH, pH 7.5, 20 mM KCl.

For deletion mutants, the structure of the FK506-binding motifs was estimated based on the published structure of Fkbp5114 which has a 42% sequence identity to FKB-6. Expression plasmids for ΔFK1 FKB-6 and ΔFK2 FKB-6 were generated using the Q5 mutagenesis kit with primers designed by NEBaseChanger (https://nebasechanger.neb.com/). Both FKB-6 variants were captured on a HisTrap column in 40 mM HEPES/KOH, pH 7.5, 1 mM EDTA, 1 mM DTT and eluted in imidazole containing buffer. Purification was achieved by ion exchange chromatography on a Resource Q column in 40 mM HEPES/KOH, pH 7.5, 1 mM EDTA, 1 mM DTT and elution from the Resource Q column in a linear gradient up to buffer containing 500 mM NaCl. Polishing of the FKB-6 variants was performed on a Superdex 75 size-exclusion column in 40 mM HEPES/KOH, pH 7.5, 1 mM EDTA, 1 mM DTT.

Fluorescence labeling of sB-Raf variants

Cysteine residues of human Cdc37 and nematode CDC-37, as well as sB-Raf were labeled using ATTO 488 maleimide (ATTO-Tec, Germany). A twofold molar excess of the label was added to 0.5 mg protein in a buffer of 40 mM HEPES/KOH, pH 7.5, 20 mM KCl and 10% (v/v) glycerol. After an incubation time of 3 h at 20 °C, the reaction was stopped by adding 20 mM DTT and the free label was separated from the labeled protein by dialysis against the same buffer. The degree of labeling and the concentration of the protein were determined by UV/VIS spectroscopy using the following equations:

$$\begin{gathered} {\text{A}}_{{{\text{Protein}}}} = {\text{ A}}_{{{28}0}} - {\text{A}}_{{{5}00}} \cdot \, \left( {{\text{CF}}_{{{28}0}} } \right) \hfill \\ {\text{DOL }} = {\text{A}}_{{{5}00}} \cdot {\text{MW}}/\left[ {{\text{protein}}} \right] \cdot \varepsilon_{{{\text{dye}}}} \hfill \\ \end{gathered}$$

where CF280 = 0.09 and ɛdye = 90,000 M−1 cm−1 according to the manufacturer. The degree of labeling for sB-Raf was found to be 1.12.

Analytical ultracentrifugation

Sedimentation velocity experiments were performed on a Beckman ProteomeLab XLA analytical ultracentrifuge (Beckman Coulter, Brea) equipped with a fluorescence detection system (Aviv Biomedical, Lakewood, NY) and a Ti-50 rotor (Beckman Coulter, Brea) at 20 °C and at 42,000 rpm. 300 nM of labeled protein was analyzed in the absence and presence of 0.5 to 1 μM of its unlabeled putative binding partners or nucleotides at indicated concentrations. Measurements were performed in the storage buffer (40 mM HEPES/KOH, pH 7.5, 20 mM KCl, 1 mM DTT, and 5 mM MgCl2). dF/dt-plots from one rotor containing 14 samples were calculated by using the optimal time range of the experiment, subtracting the respective scans from each other and averaging over several such differentials with the in-house script diffUZ. The obtained averages were normalized against the plateau value of the fluorescence as described15. Plots were then fit to bi-Gaussian functions to get good estimates of the sedimentation coefficient s20,w and peak amplitudes. All graphs were in Origin 8.6 (OriginLab).

Crosslinking and purification of sB-Raf-containing complexes by SEC-HPLC

Chemical crosslinking of the complex proteins was performed with the isotope-labeled BS3-crosslinker H12/D12-BS3, containing hydrogen-containing and deuterium-containing BS3 at a ratio of 1:1 (Creative Molecules Inc.). 10 µM of sB-Raf, CDC-37, FKB-6 and HSP-90 were pre-incubated in crosslinking buffer (40 mM HEPES/KOH, pH 7.5, 50 mM KCl) for 5 min. The crosslinking reaction was initiated by adding 500 µM H12/D12-BS3. After 30 min of incubation at 25 °C, the reactions were stopped. To this end, 5 × SDS-PAGE sample buffer (250 mM Tris/HCl, pH 6.8, 10% SDS, 30% (v/v) Glycerol, 10 mM DTT, 0.05% (w/v) Bromophenol Blue) was added directly to the crosslinking reaction, if separation of complex species by SDS-PAGE was to be used. Images have not been cropped to remove lanes. For full-length analysis by mass spectrometry, instead, a Tris-buffer containing the reaction was stopped by addition of 1 M Tris/HCl, pH 8.0.

LILBID-MS (laser induced liquid bead ion desorption mass spectrometry)

For stoichiometry evaluation the crosslinked sample and non-crosslinked mixtures of proteins were analyzed by LILBID-MS. A more detailed description of LILBID is given by Vitt et al.16 and Peetz et al.17. Briefly described, a piezo-driven droplet generator (MD-K-130 from Microdrop Technologies GmbH, Norderstedt, Germany) was used to produce droplets of 30 µm diameter with a frequency of 10 Hz at a pressure of 100 mbar.. Samples were loaded directly into the droplet generator and the generated droplets were subsequently transferred to high vacuum and irradiated by a mid-IR laser directly in the ion source. The laser employed was a Nd:YAG laser operating at 10 Hz, the wavelength being tuned by a LiNbO3 optical parametric oscillator to 2.94 µm ± 5 nm, the absorbing wavelength of the symmetric and asymmetric O–H stretching vibration of water. The pulse length was 6 ns with a maximum energy of 23 mJ. The laser power was measured by an optical power meter (PM100D, Thorlabs, Munich, Germany).

Droplet irradiation leads to an explosive expansion of the droplet containing the sample and solvated ions are released and analyzed in an in-house built time-of-flight setup operating at 10–6 mbar. The ion source is based on a Wiley-McLaren type design. The ions are accelerated into the grounded flight tube and guided towards the detector via a reflectron. The detector setup is based on a Daly-type detector optimized for the detection of high m/z ions. The voltage of the first (repeller) and second plate was set to -4 kV in the ion source. The third plate was grounded. The repeller was pulsed to – 6.6 kV for 370 µs after droplet irradiation. The pulse was applied between 2 and 20 µs after the droplet irradiation (delayed extraction time). The einzel lenses were set to − 3.0 kV. The reflectron was set to − 7.2 kV. Post-acceleration was set to + 17 kV at the MCP impact surface. Spectra processing was done by using the software Massign18 based on LabVIEW.

All proteins were used in a 25 mM Tris, 20 mM KCl, pH 7.5 buffer except for sB-Raf, which was in 25 mM Tris, 250 mM NaCl, 1 mM DTT and 10% glycerol. The crosslinked sample was measured directly from the storage buffer, while the purified components were mixed with the ratio sB-Raf:CDC-37:FKB-6:HSP-90 = 1:1:1:1 or as indicated in the figure legend.

Mass spectrometry

For identification of the crosslinked peptides, the crosslinking reaction was applied to SDS-PAGE. Relevant complex bands were then excised from the PA-gel and prepared for mass spectrometry. To this end, gel pieces containing the crosslinked protein bands were washed and destained three times by alternating 10-min treatments with 10 mM ammonium hydrogen carbonate (pH 8.3, buffer A) and buffer B (buffer A: 100% acetonitrile at a ratio of 50:50 (v/v)). After the destaining steps, samples were treated with 50 μL 10 mM DTT for 1 h at 56 °C and with 50 μL 50 mM IAA for 45 min at room temperature. Lastly, gel pieces were dried by vacuum centrifugation. The digestion to peptides was initiated by adding 8 μL of trypsin solution (0.015 µg/µl Serva, Heidelberg, Germany) and incubation was performed overnight at 37 °C. Peptides were eluted by incubating the gel pieces two times for 15 min with 30 μL of a 1:1 solution containing 100% acetonitrile and 0.1% (v/v) TFA in an ice-cooled ultra-sonication bath. Pooled supernatants were dried in a vacuum concentrator and resuspended in 20 μL 0.1% (v/v) TFA. The peptide concentration was determined by amino acid analysis (AAA) as described by Plum et al.19. Samples from the crosslinked complex of sB-Raf, CDC-37, HSP-90 dimer and FKB-6 were analyzed either on a Thermo Q Exactive Plus (dataset A) or Thermo Q Exactive HF (dataset B).

For dataset A, 5 µL of the samples were analyzed in a QExactive Plus mass spectrometer (ThermoFisher) coupled to an Ultimate 3000 nano HPLC system (Dionex). Samples were loaded on an Thermo Scientific Acclaim PepMap 100 C18 trap column (75 µm ID × 2 cm) and washed with 0.1% TFA. The subsequent separation was carried out on an Thermo Scientific Acclaim PepMap RSLC C18 column (75 µm ID × 50 cm) with a flow of 300 nL/min and buffer A: 0.1% formic acid in water and B: 0.1% formic acid in acetonitrile. Analysis started with washing in 5% B for 7 min, followed by a gradient from 5 to 22% buffer B within 105 min, an increase to 32% B within 10 min and another increase to 90% B within 10 min. 90% B was held for 10 min, then decreased to 5% within 0.1 min and held at 5% for another 9.9 min. The QExactive Plus mass spectrometer was run in a TOP10 data-dependent mode. Full MS scans were collected in a scan range of 300–1500 m/z at a resolution of 140,000 and an AGC target of 3e6 with 80 ms maximum injection time. The most intense peaks were selected for MS2 measurement with a minimum AGC target of 1e3 and isotope exclusion and dynamic exclusion (exclusion duration: 60 s) enabled. Peaks with unassigned charge or a charge of + 1 were excluded. MS2 spectra were collected at a resolution of 17,500 aiming at an AGC target of 1e5 with a maximum injection time of 100 ms. Isolation was conducted in the quadrupole using a window of 1.6 m/z. Fragments were generated using higher-energy collisional dissociation (HCD, normalized collision energy: 27%) and finally detected in the orbitrap.

For dataset B, 200 ng digested sample were measured by nano LC–ESI–MS/MS on an Q Exactive HF (ThermoFisher) as described previously20. An UltiMate 3000 RSLC nano LC system was utilized for nano HPLC analysis using the following solvent conditions: (A) 0.1% TFA; (B) 84% ACN, 0.1% FA. Samples were initially loaded on a trap column with a flow rate of 30 μl/min with 0.1% TFA. After sample concentration and washing, the trap column was serially connected with an analytical C18 column, and the peptides were separated with a flow rate of 400 nl/min using a solvent gradient of 4% to 40% B for 95 min at 60 °C. The HPLC system was on-line connected to the nano-electrospray ionization source of the mass spectrometer. The mass spectrometer was operated in a data-dependent mode with the spray voltage set to 1600 V in positive mode and a capillary temperature of 275 °C. Full scan MS spectra (mass range 350–2000 m/z) were acquired in the Orbitrap analyzer at a mass resolution of 60,000. The twenty most intensive ions per spectrum were subsequently fragmented using collision-induced dissociation (35% normalized collision energy) and scanned in the linear ion trap. The m/z values triggering MS/MS were set on a dynamic exclusion list for 30 s. After each sample measurement, 1 h of column washing was performed for equilibration.

Analysis of the MS results

The raw data obtained from MS measurements were initially analyzed with MaxQuant 1.5 (https://maxquant.org/maxquant/)21 to confirm the presence of all proteins in the excised bands. Further all unmodified peptides and complete peak lists were obtained from the MaxQuant generated tables using the sequences of the crosslinked proteins. Statistics on the unmodified peptides confirmed the data quality (Supplemental Fig. 1). The peak lists yielded intensity values and elution times for each peptide. Then the peak lists were imported into the in-house software xMASS, which searches through peak lists to identify potential crosslinked peptide pairs that deviate in mass by 12.076 Da and can be assigned to a potential crosslinked product from a simulated crosslinked peptide library. The threshold was set to 6 ppm, 2 miss-cleavages were allowed in each crosslinked peptide. The hit list obtained was then filtered based on the type of crosslink and the peak intensities in parent scans. All crosslinks that originated from intermolecular peptide pairs and showed similar intensities for both isotope versions were further analyzed as to whether they matched the corresponding fragmentation spectra. In several cases, MS2 spectra originating from both, H12-BS3 and D12-BS3 crosslinking products, could be found, further confirming the identification.

For comparison this analysis was also performed with the software pLink [http://pfind.ict.ac.cn]22. The analysis was done with the following settings: Peptide mass range: 400–6000 Da; Peptide length: 4–60 AA; precursor tolerance: ± 10 ppm; fragment tolerance: ± 10 ppm; filter tolerance: ± 5 ppm; FDR < 5% at PSM level. Reported crosslinked spectra were filtered to a mass error < 2 ppm and then compared to the xMASS outputs. The confirmed hits are listed in Supplemental Table 1. Sequence alignments of human and nematode proteins were performed in Benchling (https://benchling.com).

The visualization of all crosslinking results was performed on the webserver xiNET23.

Homology modeling and model evaluation

Homolog modeling of the ternary complex containing the nematode proteins HSP-90, CDC-37 and sB-Raf was performed with Chimera coupled to MODELLER and was based on the PDB structure 5FWL. For refinement of the sB-Raf structure, the PDB file 5CSW was used. All obtained models were refined in Chimera with default settings. The model was validated by comparing the obtained crosslinks between the three proteins to predicted crosslinking distances within this structure calculated by Xwalk (http://www.xwalk.org/). Distances between crosslinked residues were measured in Pymol (https://pymol.org/2/). The spacer length of the crosslinking reagent was used to align the respective dimeric part of HSP-90 as well as the cofactors to the complex structure, assuming only one cofactor being present as determined by native mass spectrometry.

Results

Nucleotides antagonize against protein chaperons during complex formation

Nematode HSP-90 and CDC-37 form protein complexes with the stabilized kinase domain of sB-Raf and the complex has been found to be sensitive to the presence of ATP in previous studies9. To further understand the influence of nucleotides on the association of this important HSP-90•client complex, ATTO488-labeled sB-Raf (*sB-Raf) was generated and used to investigate the complex formation. *sB-Raf sediments as a monomeric protein at 2.8 S in sedimentation velocity AUC experiments (Fig. 1a). The addition of CDC-37 to the labeled kinase initiates the complex formation, which is observable by an increase of the sedimentation coefficient (s20,w) of *sB-Raf from 2.8 S to 4.3 S (Fig. 1a). This is in agreement with the heterodimeric complex observed before with fluorescently-labeled *CDC-37 and unlabeled sB-Raf24.

Participation of FKB-6 in the HSP-90•CDC-37•sB-Raf complex

HSP-90 requires cooperation and assistance from its cofactors to fulfill its function. We tested whether additional cofactors of HSP-90 can facilitate the formation of the kinase complex. To this end, the complex formation was investigated in the presence of the HSP-90 cofactors AHSA-1, STI-1, PPH-5 and FKB-6, all of which have been reported to interact with HSP-90 as cofactors in nematode and human systems26,27,28,29.

We added each of the cofactors individually to the preformed ternary complex and observed the induced changes in AUC-experiments. The addition of AHSA-1 reduced the amount of the sB-Raf•CDC-37•HSP-90 ternary complex and so did STI-1, but to a lower extent (Fig. 2a). in both cases no quaternary complex can be observed. PPH-5 also reduced the amount of CDC-37•HSP-90 bound to sB-Raf, but at the same time enlarged the sedimentation coefficient of the remaining complex, showing that PPH-5 can bind in addition to preformed assemblies of HSP-90, CDC-37 and the kinase domain. In contrast to the other cofactors, FKB-6 joined the sB-Raf•CDC-37•HSP-90 complex by forming a stable protein assembly at 7.8 S. The strong increase in sedimentation coefficient and the sharp decrease in sB-Raf•CDC-37 at 4.8 S shows that the binding of FKB-6 is strongly supportive to the interaction between sB-Raf and the HSP-90 system.

We next tested the influence of ATP on the formation of these quaternary complexes (Fig. 2b). For all HSP-90 cofactors with exception of FKB-6, addition of nucleotides leads to destabilization of the ternary or quaternary chaperone complex. This is evident from the reduction of the complex peaks at higher sedimentation coefficient. Only in the case of FKB-6, the ternary complex is not destabilized by the presence of ATP, but rather shifts towards a slightly larger sedimentation coefficient (s20,w = 8.2 S), which might indicate the dimerization of HSP-90's N-terminal domains that is known to occur in response to ATP and ATP-analogs during client processing. Other nucleotides were tested with the quaternary complex as well (Supplemental Fig. 3). There likewise, after addition of AMP-PNP or ATPγS, protein complexes are observed at increased sedimentation coefficients, hinting at the ability of these nucleotides to induce the closing reaction of HSP-90. This suggests that the compaction usually observed for HSP-90 alone apparently is also possible in the presence of kinase client and the two HSP-90 cofactors FKB-6 and CDC-37.

Human Fkbp-like proteins integrate into Cdc37•sB-Raf•Hsp90 complexes

In the human Hsp90 system, the participation of the large PPIases homologous to FKB-6 has been studied extensively in the context of steroid receptor clients, but not for kinase-containing chaperone complexes. Therefore, we tested whether a similar interaction can be observed in the mammalian system. Contrary to the nematode chaperone system, which only contains FKB-6, the human system has two homologs. We therefore tested the purified human PPIases Fkbp51 and Fkbp52 and their interaction with Hsp90, sB-Raf and human Cdc37 in sedimentation velocity AUC experiments.

The ternary complex consisting of *sB-Raf, Hsp90β and human Cdc37 was formed in analogy to the nematode protein complex. Addition of the PPIases Fkbp51 and Fkbp52 demonstrates their ability to integrate into the complex. Both, Fkbp51 and Fkbp52, form a stable quaternary complex with *sB-Raf•Cdc37•Hsp90β, increasing the sedimentation coefficient of the complex to 9 S from 7.2 S for the ternary complex (Fig. 3a).

The influence of ATP was tested in the human system as well (Fig. 3b,c). Contrary to the results from the nematode system (see Fig. 2b), the addition of ATP weakens the quaternary complex and leads to a reduced s20,w value of the labelled *sB-Raf in complex with the chaperone system. This may show, like in many studies before, the reduced ability of the human Hsp90 system to form the N-terminally dimerized state in response to nucleotide binding and that this trait also is maintained in the quaternary complex.

Both FK506-binding domains of FKB-6 contribute to the complex stability

In both, C. elegans and human systems, FKB-6 or homolog PPIases are able to stabilize sB-Raf containing complexes. To obtain insight into the mechanism of this cooperative interaction, the contribution of individual FKB-6 domains was addressed. FKB-6 consists of two FK506-binding domains and a C-terminal TPR domain. We designed constructs of FKB-6 with deleted FK506-binding domains and investigated the performance of these variants in quaternary complex formation. Besides a deletion of the first FK506-binding domain (∆FK1-FKB-6), a deletion of the second FK506-binding domain (∆FK2-FKB-6) was performed by including a flexible (GGGGS)3 linker to bridge the deletion of the domain between FK1 and the C-terminal TPR-domain (Fig. 4a).

SV-AUC results with these deletion variants imply that both FKB-6 mutants are still able to bind to the ternary complex in a similar manner, with a slightly smaller s20,w compared to the full length FKB-6 protein (Fig. 4b). As FKB-6 primarily interacts with HSP-90 via its TPR domain, the two FKBP-domains apparently contribute in the same manner. We then tested how the depleted constructs respond to the addition of different nucleotides. In the presence of ATP, the ability of both FKB-6 variants to maintain *sB-Raf in the chaperone complex is dramatically reduced compared to full-length FKB-6, as derived from the increased presence of free labeled *sB-Raf at a sedimentation coefficient of 2.5 S (Fig. 4c). Complex dissociation is similar for both deletion constructs and stronger for ATP than for ADP addition (Fig. 4d). In contrast to the deletion constructs, the full-length FKB-6, retains sB-Raf•CDC-37 in the chaperone complex and induces the closed state of HSP-90. Thus, both FK506-binding domains of FKB-6 contribute to the stability of the kinase-chaperone complex.

Stoichiometry of protein components in the sB-Raf-chaperone complex

To gain more information on the stoichiometries within the quaternary protein complex, we investigated the complex by full-length and native mass spectrometry. The stoichiometry of Cdk4•Cdc37•Hsp90 had been previously determined by negative-staining electron microscopy and cryo-electron microscopy to be 1:1:230. To investigate the quaternary complex including FKB-6, we compared native protein mixtures with the crosslinked protein samples under conditions that allow full-length and native mass spectrometry17,31. This is difficult to study by SV-AUC, as the dynamic within the protein complex and the incomplete saturation does not allow to get conclusive results, even if titration experiments are performed (Supplemental Fig. 4). In crosslinked samples (Fig. 5a, Lane C) several species can be observed (Fig. 5b, upper spectrum) and some of them can be assigned to defined chaperone complexes based on their m/z ratios and with the help mixtures of the native components (Fig. 5b, lower spectra). Based on the computed mass, the largest observed species corresponds to the complex sB-Raf•CDC-37•FKB-6•HSP-90 at a stoichiometry of 1:1:1:2. Upon exclusion of FKB-6 from the native protein mixtures, this species is not observable anymore and the complex of sB-Raf•CDC-37•HSP-90 is observed as dominant species based on the molecular mass. Also, the 1:1 complex of sB-Raf and CDC-37 is detectable in the respective mixture. The crosslinked and the assembled protein samples therefore suggest a preferential formation of protein complexes consisting of one client, one set of cofactors and the dimeric HSP-90 machinery.

Structural organization of the sB-Raf•CDC-37•FKB-6•HSP-90 complex

Having obtained the preferential stoichiometry of the protein complex, we used the crosslinked quaternary complex to identify relevant interaction sites in the crosslinked protein complex. To this end we performed a crosslinking reaction of the full quaternary complex, the binary complex sB-Raf•CDC-37 complex and HSP-90 alone as reference (see Fig. 5b). We employed two different mass spectrometry setups and performed an exhaustive identification of crosslinking sites from the obtained datasets.

For both datasets, two independent analysis programs, in-house xMASS and pLink, were employed and delivered comparable results. Mapping of the location of all identified crosslinked peptide pairs indicates that the two mass spectrometry approaches revealed similar crosslinks in the two experiments. We detected unmodified peptides and intramolecular and intermolecular crosslinked peptide pairs. The unmodified peptides clearly showed the presence of FKB-6, CDC-37, sB-Raf and HSP-90 in the crosslinked complex and revealed the high quality of the mass spectrometry data at 3 ppm. While the intramolecular crosslinks were used to confirm the homology modelled structure (Fig. 7), the intermolecular crosslinks between FKB-6, CDC-37, HSP-90 and the kinase domain were used to obtain the relative arrangement of these proteins in the complex (Fig. 6).

The most prominent intermolecular crosslinked peptides identified in the three samples are listed in Supplemental Table 1. An overview of intermolecular crosslink sites (Supplement Fig. 1) shows that crosslinks between all four proteins could be identified by this approach.

In the quaternary complex we first identified crosslinks between CDC-37, HSP-90 and sB-Raf, as for this complex already a structural model exists based on an electron microscopic structure4 and a cryo-electronic structure30. Intermolecular crosslinks between these proteins link the middle domain of CDC-37 at position 274 to the lobe-domain of sB-Raf (IGDFGLATVKSR, AA600), implying that these regions are in contact in the HSP-90-containing structure. Another contact of this kinase position could be formed with the N-terminal domain of CDC-37 at peptide MAEKKMEQEK (AA77) and likewise in the binary complex with peptide KPQAPK (AA165). Also in the binary complex sB-Raf•CDC-37, two intermolecular crosslinked pairs between sB-Raf (IGDFGLATVKSR, AA600) and the CDC-37 peptides KPQAPK (AA165) and QFFKK (AA273) were identified. As both crosslinks between CDC-37 and kinase domain locate in the M-domain of CDC-37 (Supplemental Table 1a), it can be assumed that in the binary complex and also in the quaternary complex the middle domain of CDC-37 approaches the interface between the N-and C lobe of the kinase.

Positioning the TPR-cofactor FKB-6 close to CDC-37 in this complex is supported by the identification of the crosslink between RAEEVLEYEKSTDPEK (FKB-6, AA288) and KPQAPK (CDC-37, AA165), which positions the FK2 domain of FKB-6 into the vicinity of the middle domain of CDC-37. Further crosslinks of FKB-6 are linking the FK1-domain to CDC-37 with FEAAEPVYMKHYQDEVK (CDC-37, AA284) and GNVIKGWDLGVATMTK (FKB-6, AA71). In addition, two further crosslinked peptides of FKB-6 are identified. FKB-6 (RAEEVLEYEKSTDPEK, AA288) is crosslinked to HSP-90 at peptide KFYEQFGK (AA407). Another interaction is observed between the FK1 domain of FKB-6 (GNVIKGWDLGVATMTK, AA71) and CDC-37 (FEAAEPVYMKHYQDEVK, AA284). These crosslinks imply that FKB-6 shares interaction sites with both proteins in the quaternary complex, which may contribute to the cooperativity observed in context with this interaction.

Regarding the relative position, the structure of the C. elegans complex is calculated based on homology models of the human homolog complex 5FWL. The models are built based on real contact sites. The model assumes that the arrangement of side chains or protein backbone locations are unchanged. Under these assumptions the homology model offers information on areas which are closely localized to each other. The comparison of the models indicates that main interaction sites between HSP-90 and CDC-37 are conserved. Kinase-chaperone interaction sites in the human homolog structure might differ from those in the C. elegans model, as sB-Raf shares only 25% of sequence identity with Cdk4 in the kinase domain sequence, which implies potential differences in certain subdomains not respected during homology modeling. Despite this, the quality of the homology modelled structure model can be validated by crosslinked peptides between HSP-90 and CDC-37 and the distances of the crosslinked positions are in agreement with the 30 Å maximal length bridged by the crosslinking compound.

Discussion

Nucleotides and CDC-37 antagonize against each other in complex with sB-Raf kinase

The molecular chaperone HSP-90 interacts with ATP and its cochaperones. In the context of the kinase cycle, the importance of these interactions is far less clear than in the context of other HSP-90 clients like steroid receptors, where ATP-binding and hydrolysis by HSP-90 contribute to the generation of the steroid binding competent receptor. The data presented here give an indication of the importance of nucleotides and cochaperones for HSP-90 complexes with protein kinases.

Based on our previous results9, nucleotides and chaperones interact with the kinase in an antagonizing way. When sB-Raf is in complex with ATP or ATP homologs, it is unable to bind to CDC-37. ADP has less influence on the structure of the kinase domain, as it does not to affect the interaction with CDC-37 to the same extent. Instead, binding of ATP activates the kinase by initiating conformational rearrangements to orient the catalytic region in the kinase domain. This is well described at least for the kinase PKA and likely similar in other kinases32. In contrast, ADP does not contribute to the assembly of the catalytic region, hence maintaining the kinase in an apo-like state. The reduced affinity thus may result from conformational rearrangements of the kinase domain in response to ATP. Once the rearrangement has been performed, the kinase is activated and able to carry out its function, at which state it may not require the further assistance of the chaperone system. This may be an indication of how chaperons selectively bind the relevant clients.

Interestingly we identify several crosslinking products linking the lobe domain of the kinase to the CDC-37 middle domain. With these lobes being affected by ATP-binding it is well possible that the rearrangements in the kinase domain after nucleotide binding hide the interaction surfaces utilized by CDC-37 for complex formation.

However, once HSP-90 is bound to the kinase client, the nucleotide-induced effects in the kinase are reduced, potentially via blocking central residues in the catalytic spine or further unfolding the kinase domain as described for the human system by Verba et al.30, where the N-lobe and C-lobe of the Cdk4 kinase domain are pulled apart, when in the complex with Hsp90.

Since both, Hsp90 and kinase, are able to bind and hydrolyze ATP, the nucleotide-induced regulation within the complex is opening a complex question. Therefore, it will now be interesting to see, how the assays developed in this study may facilitate the analysis of protein variants with altered mechanistic behaviour. Based on previous studies it is clear that further steps during the activation cycle have to be considered in order to obtain the full picture of the interaction. These steps also include phosphorylation events on the cofactors and the chaperone by the kinase and further regulatory steps that are influenced by phosphorylation or other post-transcriptional modifications on each of the contributing factors. It will be interesting to see weather PTMs impact both formation and function of the sB-Raf•CDC-37•FKB-6•HSP-90 complex, since all of the proteins in this complex are potentially regulated by PTMs on their own as recently shown in the human Hsp90 system. This additional level of regulation, termed the "chaperone code", may influence every aspect of Hsp90 interactions and functions33,34.

FKB-6 stabilizes the kinase•CDC-37•HSP-90 complex against antagonistic interaction with ATP.

The equilibrium of influences of ATP and CDC-37 on HSP-90 conformations changes dramatically when FKB-6 joins the complex. In the absence of ATP, the addition of FKB-6 increases the affinity of sB-Raf towards the chaperone machinery. Substantially less free sB-Raf is observed when FKB-6 is present (Fig. 8 step c). When ATP is added to sB-Raf•CDC-37•FKB-6•HSP-90 complexes, instead of complex disassociation, an increased sedimentation coefficient is observed in AUC, which implies that at this stage the HSP-90 machinery is performing the closing reaction and the closed complex then can continue the hydrolysis cycle well described for Hsp90 (see model Fig. 8 step d & step e). Hence the presence of FKB-6 shifts the balance towards the chaperon-bound and ATP-bound state (Fig. 8 step d) by generating a much more stable complex which is not likely to dissociate by the addition of ATP. This indicates that FKB-6 may be a strongly supportive factor in improving the efficiency of the HSP-90 ATPase cycle for kinases in addition to the own activity it may provide. This feature is shared mostly by Fkbp51 and Fkbp52.

FKB-6 motifs are structurally associated at interaction hotspots in the complex interfaces

Taken together our results demonstrate the contribution of FKB-6 to the kinase•HSP-90 chaperon complex and indicate the involvement of FKB-6 in the intermolecular interactions. They further reveal more information about the role of FKB-6 in the complex, which appears to guide the transfer of the kinase from CDC-37 to HSP-90 by stabilizing the quaternary complex with linking interactions between the individual components.

Data availability

All data are fully available without restriction.

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Acknowledgements

The authors would like to thank Anna Kaziales for providing purified human proteins Fkbp51, Fkbp52 and Hsp90β. K.R. thanks the Deutsche Forschungsgemeinschaft for funding the research grant RI1873/1-4 and the Heisenberg position RI1873/5-1. K.M. and K.B. were funded by P.U.R.E. (Protein Research Unit Ruhr within Europe), Ministry of Innovation, Science and Research of North-Rhine Westphalia, Germany. S.M.H. gratefully acknowledges funding by the Fonds der Chemischen Industrie through a Liebig Fellowship as well as generous support by Prof. Dr. Stephan A. Sieber and his group. We also thank the distributors of free and open source software that we could use during this study. This includes MaxQuant (Computational Systems Biochemistry, Max-Planck Institute for Biochemistry), pLink (Institute of Computing Technology, CAS), Benchling (Benchling Biology Software 2021), Pymol (Schrodinger Int.) and Chimera 1.10.2 (https://www.gdfds.edu).

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Open Access funding enabled and organized by Projekt DEAL.

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S.S. and K.R. designed the experiments, S.S., K.B., K.M., S.M.H., N.H. and N.M. performed the experiments, S.S., L.S. and K.R. analyzed the data and wrote the manuscript.

Corresponding author

Correspondence to Klaus Richter.

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Sima, S., Barkovits, K., Marcus, K. et al. HSP-90/kinase complexes are stabilized by the large PPIase FKB-6. Sci Rep 11, 12347 (2021). https://doi.org/10.1038/s41598-021-91667-5

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• DOI: https://doi.org/10.1038/s41598-021-91667-5

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