research communications\(\def\hfill{\hskip 5em}\def\hfil{\hskip 3em}\def\eqno#1{\hfil {#1}}\)

Journal logoSTRUCTURAL BIOLOGY
COMMUNICATIONS
ISSN: 2053-230X

Potential 14-3-3 binding sites in sirtuins reveal extended phosphosite-recognition modes

crossmark logo

aDepartment of Biochemistry, University of Bayreuth, Universitätsstrasse 30, 95440 Bayreuth, Germany
*Correspondence e-mail: [email protected], [email protected]

Edited by N. Sträter, University of Leipzig, Germany (Received 23 May 2025; accepted 3 December 2025)

The adapter proteins of the 14-3-3 family modulate the activity and/or localization of their binding partners, which they capture if a generic target motif is in its phosphorylated state. Here, we report the identification of potential 14-3-3 binding sites in human sirtuin deacylases by bioinformatic analysis. We then characterize the interactions of peptides representing phosphorylation sites in sirtuin 3 (pS103) and sirtuin 1 (pS670) with 14-3-3 proteins. We further describe the crystal structures of complexes of 14-3-3σ with either of the two phosphopeptides. As a conclusion, we propose a more extended 14-3-3 binding mode on the N-terminal side of the phosphorylation site and the possibility of nongeneric motifs and conformations on the C-terminal side, still resulting in the known high binding affinity of the two partners.

1. Introduction

The 14-3-3 family of adapter proteins modulate the activity and/or localization of their binding partners (Kleppe et al., 2011View full citation). They recognize a Ser/Thr phosphorylation in a short sequence motif that is generally assumed to belong to either of two sequence patterns, also referred to as `binding modes' I and II, or a carboxy-terminal `mode III' motif (Aitken, 2006View full citation). At least 133 well characterized physiological 14-3-3 binding sites distributed across 98 different proteins have been reported (Aitken, 2006View full citation). The short, ∼10-residue recognition sites insert into a groove of the conserved, W-shaped architecture of dimeric 14-3-3 (Aitken, 1996View full citation; Obsil & Obsilova, 2011View full citation). Today, crystal structures of all seven mammalian apo 14-3-3 isoforms are available, together with several synthetic phosphopeptide mode 1 and 2 complexes. For example, complexes with peptides derived from Raf (Petosa et al., 1998View full citation; Kaplan et al., 2020View full citation), integrin α4 (Bonet et al., 2013View full citation), RapGef2 (Kaplan et al., 2020View full citation) or protein kinase R (Andlovic et al., 2023View full citation) have been determined. Also, structures of 14-3-3 proteins in complex with complete phosphorylated partner proteins have been reported, initially with serotonin N-acetyltransferase (Obsil et al., 2001View full citation) and subequently with neutral trehalase Nth1 (Alblova et al., 2017View full citation) and also with B-Raf (Martinez Fiesco et al. (2022View full citation). These structures confirmed that the binding mode of peptide ligands by 14-3-3 proteins is equivalent to their interactions with complete protein ligands (Obsilova & Obsil, 2022View full citation). 14-3-3 binding in most cases leads to a 1:1 complex with a single target protein, with each 14-3-3 monomer binding to an identical target sequence site and the 14-3-3 dimer thus recruiting two monomers of the target. However, the 14-3-3 dimer can also bind two different targets (Zha et al., 1996View full citation), or a single protein target at two distinct phosphorylation sites (for example histone H3; Winter et al., 2008View full citation). In the latter case, only a double phosphorylation leads to a ∼100-fold higher affinity, with a Kd of about ∼5–10 µM, compared to a single phosphorylated histone protein. Lower Kd values could also be observed for 14-3-3 isoforms β, η, τ and ζ in the case of the pS-Raf-259 peptide, with values of ∼120–145 nM (Muslin et al., 1996View full citation).

The 14-3-3 proteins also appear to interact with members of the sirtuin protein family. Sirtuins form the conserved protein deacylase (PDAC) class III and regulate metabolism and aging processes. In mammals, seven sirtuin isoforms (Sirt1–Sirt7) mediate adaptive responses to a variety of stresses, including calorie restriction and metabolic stress. Sirt1, Sirt6 and Sirt7 are mainly located in the nucleus, Sirt3–Sirt5 in mitochondria and Sirt2 in the cytoplasm. Sirt1 has been implicated, for example, in the control of chromatin structure, genomic stability and energy metabolism. Sirt1 targets include the transcription factors p53 and FOXO3a and the DNA-repair proteins Ku70 and XPA. The mitochondrial Sirt3 regulates the acetylation levels of a wide variety of metabolic enzymes, such as acetyl coenzyme A synthetase 2, hydroxymethylglutaryl-CoA synthase 2 and proteins of the electron-transfer chain (Hirschey et al., 2010View full citation; Shimazu et al., 2010View full citation; Rardin et al., 2013View full citation). Sirt3 thereby regulates oxidative phosphorylation (Cimen et al., 2010View full citation; Finley et al., 2011View full citation), ketogenesis and oxidative burst responses (Tao et al., 2010View full citation; Chen et al., 2011View full citation).

A 14-3-3-dependent regulation of sirtuin function is still based on a limited number of publications. The first 14-3-3–sirtuin cross-talk was suggested by findings that the Caeno­rhabditis elegans SIR2 ortholog SIR-2.1 (mammalian Sirt1) binds to both of the worm 14-3-3 proteins PAR-5 and FFT-2 (Berdichevsky et al., 2006View full citation; Wang et al., 2006View full citation), regulating the interaction of the deacylase with a transcription factor upon stress signals. A direct interaction with Sirt2 was also reported for mammalian 14-3-3 isoforms β and γ, causing a down-regulation of p53 activity (Jin et al., 2008View full citation). In yeast, simultaneous binding of the 14-3-3 protein Bmh1 to phosphorylated histone H3 and the phosphorylated sirtuin Hst2 was observed (Jain et al., 2021View full citation). Interestingly, the human Sirt2 residue corresponding to the phosphorylated serine in Hst2 was reported to be phosphorylated during Sirt2 chromatin recruitment (Movahedi Naini et al., 2015View full citation; Pereira et al., 2018View full citation). In human cells, 14-3-3ζ was reported to regulate a Sirt1-dependent skin-repair mechanism (Wu et al., 2021View full citation).

In a reverse signaling mode, 14-3-3 proteins might also be targets or downstream effectors of sirtuins. A sirtuin appears to regulate anoxia–reoxygenation tolerance via regulation of 14-3-3ζ and BAD binding (Lynn et al., 2008View full citation). In a biotin-based proteomic approach the same 14-3-3 isoform was identified as a target of Sirt1 for caspase-2 regulation (Andersen et al., 2011View full citation). The finding that 14-3-3 proteins can regulate sirtuins, and vice versa, identifies their interactions as a complex signaling cross-talk interface.

To elucidate the molecular details of human sirtuin binding to 14-3-3 proteins, we first identified potential 14-3-3-responsive sirtuin phosphorylation sites through a position-specific scoring matrix (PSSM) sequence analysis (Thiel, 2015View full citation). The binding of corresponding phosphopeptides to 14-3-3 proteins was analyzed by microscale thermophoresis and isothermal titration calorimetry. Two of the identified sirtuin sites interacted with 14-3-3 proteins with low micromolar affinity. Crystal structure analysis revealed that the identified sequences, despite deviating from known interaction patterns, partly exploit conserved interaction modes and partly reveal new ways for tight binding, thereby expanding our knowledge of how targets interact with 14-3-3 proteins.

2. Materials and methods

Phosphorylated and nonphosphorylated sirtuin peptides were chemically synthesized by GL Biochem, Shanghai, China. All other chemicals were purchased at the highest purity grade from Sigma–Aldrich.

2.1. Protein expression and purification

2.1.1. Cloning

For all seven human 14-3-3 isoforms, full-length (14-3-3-fl) and a C-terminally truncated (14-3-3-ΔC) gene fragments were cloned into pPROEX-HTb (GE Healthcare, Little Chalfont, United Kingdom) using BamHI and SalI restriction sites.

2.1.2. Purification

The expression and purification of His6-tagged 14-3-3 proteins were carried out using standard procedures (Yang et al., 2006View full citation). In brief, Escherichia coli BL21 Rosetta (DE3) cells (Merck, Darmstadt, Germany) were transformed with the pProExHTb vector (Invitrogen, Paisley, United Kingdom) carrying the respective 14-3-3 gene. The cells were grown in Terrific Broth medium at 37°C to a density of A600 = 0.6 and were induced with 0.4 mM isopropyl β-D-1-thiogalactopyranoside (IPTG). After IPTG addition, the cells were grown for a further 16 h at 20°C before harvesting. The cells were lysed in buffer A [50 mM Tris pH 8.0, 5%(v/v) glycerol, 2 mM β-mercapto­ethanol] which contained 300 mM NaCl, 10 mM imidazole and 1 mM phenylmethylsulfonyl fluoride using a microfluidizer. After centrifugation, the supernatant was applied onto a nickel–nitrilotriacetic acid column and washed with buffer A containing 500 mM NaCl and 25 mM imidazole. After elution with buffer A containing 300 mM NaCl and 250 mM imidazole, the protein was concentrated using a 30 000 molecular-weight cutoff Amicon ultrafiltration membrane (Millipore, Billerica, Massachusetts, USA). The protein concentration was determined using UV–visible spectrometry (NanoDrop, Thermo Scientific, Wilmington, Delaware, USA) and the purity was verified by SDS–PAGE. The protein was dialyzed against 20 mM HEPES–NaOH pH 7.5, 100 mM NaCl, 10 mM MgCl2, 1.0 mM TCEP and stored at −80°C.

2.2. Microscale thermophoresis (MST)

The binding of phosphorylated sirtuin peptides (Fig. 1[link]) was analyzed using the change in the intrinsic fluorescence signal of the 14-3-3 proteins measured with label-free microscale thermophoresis using a Nanotemper Monolith NT.LabelFree or NT.115. A typical binding experiment using 0.6 µM 14-3-3 protein was performed in a modified MST buffer consisting of 25 mM MES pH 6.5, 5 mM MgCl2, 5 mM CaCl2. The measurements were performed at 25°C using a LED power of 10–40%. All measurements were performed at least in duplicate, and the results shown are representative measurements individually fitted using GraFit 7 (Erathicus Software, Horley, United Kingdom).

[Figure 1]
Figure 1
Classification and analysis of sirtuin PSSM results for potential 14-3-3 phosphoserine binding sites. Peptides with a gray background were not analyzed experimentally. Score is the overall PSSM score for the phosphorylation site; rank is the order within the 17 proposed sirtuin binding sites. Conserved residues in the 14-3-3 motifs are marked in green. Residues with restricted (proline) or very flexible (glycine) protein backbone or with a very large side chain (tryptophan) are marked in red. Amino acids with the same or similar hydrophobicity/size are shown in magenta. Kd values from duplicate measurements are colored green for Kd < 100 µM. Fields marked in red indicate no binding or no successful experiment.

2.3. Isothermal titration calorimetry (ITC)

Peptide ligands were freshly prepared in the exact same buffer as was used for the gel-filtration run. Samples were degassed and temperature-equilibrated using a degassing station (TA Instruments). A volume of 250 µl of 14-3-3σ-ΔC protein sample at a concentration of 150 µM was transferred into the sample cell of a nanoITC (TA Instruments) and 50 µl of a fourfold-concentrated phosphorylated peptide was loaded into the injection needle. Multiple injection measurements were carried out at 25°C with a 300 rev min−1 stirring rate and 300 s spacing between each 2 µl injection. The heat quantity post-injection was determined by integration of the measured peaks. The Sirt1pS670 peptide behaved best and was measured in duplicate. Subtraction of heat of dilution measurements, peak integration and one-site binding fits were performed with NanoAnalyze (TA Instruments). The reported errors are the errors between fits of the measured duplicates.

2.4. Crystallization, structure determination and refinement

For crystallization of the 14-3-3σ–peptide complexes, protein and Sirt1pS670, Sirt3pS103, Sirt3pS105, Sirt6pT337 or Sirt6pS338 peptides were mixed in a 1:1.5 molar ratio in 20 mM HEPES–NaOH pH 7.5, 2 mM MgCl2, 1 mM TCEP and set up for crystallization in 0.1 M HEPES–NaOH pH 7.5, 0.2 M CaCl2, 24–28%(v/v) PEG 400, 5%(v/v) glycerol, 1 mM TCEP at 4°C (Table 1[link]). Crystals of the Sirt1pS670 and Sirt3pS103 complexes grew within a week and could directly be flash-cooled in liquid nitrogen. No crystallization could be observed for either of the Sirt6 peptides.

Table 1
Crystallization of 14-3-3σ–sirtuin peptide complexes

Method Hanging-drop vapor diffusion
Plate type VDXm 24-well plate
Temperature (°C) 4
Protein/peptide concentration (mM) 1 or 1.5
Buffer composition of protein solution 20 mM HEPES–NaOH pH 7.5, 2 mM MgCl2, 1 mM TCEP
Composition of reservoir solution 0.1 M HEPES–NaOH pH 7.5, 0.2 M CaCl2, 26%(v/v) PEG 400, 5%(v/v) glycerol, 1 mM TCEP
Volume and ratio of drop 1 µl, 50/50% protein/reservoir
Volume of reservoir (µl) 200
Composition of cryoprotectant Same as reservoir solution
Drop setting Manual
Seeding No

Data collection was performed at BESSY (Berlin, Germany) on MX beamline BL14.1 (Mueller et al., 2015View full citation), using a PILATUS 6M detector, at a wavelength of 0.91804 Å and a cryogenic temperature of 100 K, and the data were processed with XDS (Kabsch, 2010View full citation). Molecular replacement was carried out with Phaser (McCoy et al., 2007View full citation) using the structure of 14-3-3σ (PDB entry 1ywt; Wilker et al., 2005View full citation) as the search model. The obtained model was subjected to iterative rounds of model building and refinement using Coot (Emsley et al., 2010View full citation) and REFMAC (Murshudov et al., 2011View full citation). Data-collection and refinement statistics are given in Tables 2[link] and 3[link]. All structural figures were prepared with PyMOL (version 2.5; Schrödinger).

Table 2
Data collection and processing

Values in parentheses are for the highest resolution shell.

  14-3-3σ-ΔC–Sirt3pS103 14-3-3σ-ΔC–Sirt1pS670
PDB code 8anc 8anb
Diffraction source BESSY BL14.1 BESSY BL14.1
Wavelength (Å) 0.918409 0.918409
Temperature (K) 100 100
Detector PILATUS 6M PILATUS 6M
Space group C2221 C2221
a, b, c (Å) 82.60, 112.38, 62.69 81.01, 95.55, 79.94
Resolution range (Å) 50–1.11 (1.18–1.11) 50.0–1.64 (1.74–1.64)
Total No. of reflections 390768 (50403) 139781 (21387)
No. of unique reflections 111534 (16525) 38278 (6068)
Completeness (%) 97.6 (90.2) 99.6 (98.6)
I/σ(I)〉 13.21 (2.16) 18.32 (4.32)
CC1/2 99.9 (73.5) 99.9 (91.0)
Rmeas (%) 6.1 (62.7) 5.0 (34.9)
Overall B factor from Wilson plot (Å2) 12.916 26.983

Table 3
Structure refinement

Values in parentheses are for the highest resolution shell.

  14-3-3σ-ΔC–Sirt3pS103 14-3-3σ-ΔC–Sirt1pS670
Resolution range (Å) 45.68–1.11 (1.14–1.11) 48.89–1.64 (1.682–1.640)
Completeness (%) 87.9 (40.0) 99.6 (97.5)
No. of reflections
 Working set 95338 (3189) 36279 (2588)
 Test set 5111 (171) 1943 (122)
Final Rcryst 12.8 (35.2) 17.6 (24.6)
Final Rfree 14.5 (37.4) 20.2 (28.5)
No. of non-H atoms
 Total 2307 2147
 Protein 1826 1760
 Peptide 67 62
 Ions 6 2
 Waters 408 323
R.m.s. deviations from ideality
 Bonds (Å) 0.020/0.012 0.014/0.012
 Angles (°) 1.73/1.65 1.63/1.64
Average B factors (Å2)
 Protein 15.4 23.6
 Peptide 28.6 35.3
 Ions 20.1 31.5
 Waters 31.1 33.9
Ramachandran plot
 Favored regions (%) 99.6 99.6
 Outliers (%) 0.4 0.0
 Unmodelled/incomplete residues (%) 0.0 0.4

3. Results and discussion

3.1. Sirtuin sequence alignment, PSSM analysis and in vitro characterizations

To study physiological interactions of human sirtuins with 14-3-3 adapter proteins, we performed a bioinformatics analysis for potential 14-3-3 binding sites in all seven human sirtuin isoforms. We used position-specific sequence matching (PSSM; Thiel, 2015View full citation) to identify 25 potential Ser and Thr phosphosites, including nine sites that were not described in previous work reporting such an analysis (Madeira et al., 2015View full citation). Of these, 17 sites scored above the software significance threshold (Fig. 1[link]), comprising sequences from all human sirtuin isoforms. All 17 sites were compared with database and literature information concerning their phosphorylation. Furthermore, all sites were compared with known 14-3-3 binding sites and the previously proposed binding motifs I and II (Fig. 2[link]a; Yaffe et al., 1997View full citation) through manual sequence comparison and by homology modeling based on high-resolution structures of 14-3-3–phosphopeptide complexes for both binding modes. For none of the PSSM-predicted sites could a confirmation of phosphorylation be identified from the literature and PhosphoSitePlus (version 6.8.1; Hornbeck et al., 2015View full citation).

[Figure 2]
Figure 2
Sequence motifs for 14-3-3 binding. (a) Classical (Aitken, 1996View full citation) and extended (Yaffe et al., 1997View full citation; Johnson et al., 2010View full citation) 14-3-3 phospho-binding motifs and sirtuin 1 and 3 binding sequences. Sirtuin amino-acid positions that are conserved in mode 1 or 2 are underlined. (b) Sequence alignments of yeast Hst2 and human sirtuin 2 for the reported yeast–14-3-3 interaction sites (Jain et al., 2021View full citation).

For nine of the sites, including sites from all sirtuin isoforms except Sirt4, endecameric phosphopeptides were chemically synthesized for in vitro analysis. Microscale thermophoresis binding measurements were initially performed with the truncated 14-3-3σ-ΔC protein due to its known high temperature stability and best crystallization behavior among 14-3-3 isoforms. Of the seven phosphopeptides tested, three showed no or very weak binding to 14-3-3σ (Figs. 1[link], 3[link]a and 3[link]b). The best binders to 14-3-3σ were the peptides representing Sirt6pT336, Sirt6pS338, Sirt3pS103, Sirt3pS105 and, surprisingly, Sirt1pS670, which shows no or very low sequence similarity to both 14-3-3 binding motifs (Figs. 1[link] and 2[link]a). All Kd values are in the lower two-digit micromolar range and thus are comparable to previously reported values for 14-3-3–target interactions (Wang et al., 1999View full citation; Gogl et al., 2021View full citation). For the Sirt1 peptide, a similar Kd value was obtained from microscale calorimetry experiments (Fig. 3[link]c).

[Figure 3]
Figure 3
Affinity measurements of Sirt1pS670 and different Sirt3 peptides for 14-3-3σ-ΔC protein using MST and ITC experiments. (a) Two independent MST experiments of the titration of 14-3-3σ-ΔC with Sirt1pS670 (circles and filled circles, respectively), leading to an average Kd of 1.7 ± 1.3 µM. (b) MST experiments of titrations of 14-3-3σ-ΔC with Sirt3pS105 (squares) or Sirt3pS103 (two independent runs, filled triangles and triangles) endecamer peptides and, for comparison, with nonphosphoylated Sirt3S103 peptide (circles). The phosphorylated peptides showed binding to 14-3-3σ-ΔC with Kd values of 1.5 ± 1.2 and 2.1 ± 1.1 µM, respectively, for Sirt3pS103 and 19.4 ± 3.0 µM for Sirt3pS105. In contrast, the nonphosphorylated peptide Sirt3S103 showed no significant affinity for 14-3-3σ-ΔC (∼881 ± 2148 µM). (c) ITC measurement of the titration of 14-3-3-ΔC protein with Sirt1pS670 phospho-endecamer peptide yielded an apparent Kd of 5.0 ± 4.2 µM, in good agreement with the MST results.

Testing a nonphosphorylated version of the Sirt3-103 sequence site peptide, Sirt3S103, showed no significant binding affinity for 14-3-3σ, confirming the relevance of the modification and thus the generic, phosphorylation-dependent binding of a 14-3-3 ligand (Fig. 3[link]). A comparison of the sequences of the Sirt3-103 and Sirt3-105 sites further illustrates the relevance of the target sequence around the phosphorylation site for both recognition by 14-3-3 proteins in general and for 14-3-3 isoform differences in target selection. While Sirt3pS103 binds tightly to 14-3-3σ, the Sirt3pS105 peptide shows no affinity. This result is in agreement with 14-3-3 specificity data from the analysis of a peptide libraray (Yaffe et al., 1997View full citation), which indicated an RRSRpSYPXX optimum sequence for specific 14-3-3σ binding. In contrast to the Sirt3-103 site, the Sirt3-105 sequence motif lacks the conserved +2 proline and also the positive RRX{R/H/K} patch on the N-terminal side of the phosphorylation site. In contrast, the tight and 14-3-3σ-specific binding that we observed for the Sirt1pS670 peptide, which lacks all of the position criteria of the previous study (Yaffe et al., 1997View full citation), contradicts this optimum sequence and again indicates a wider variation in recognition motifs than previously assumed.

3.2. Molecular interaction of sirtuin phosphosites with 14-3-3σ

To understand the structural basis of 14-3-3 recognition of the nongeneric binding motifs we identified in human sirtuins, we performed crystallization experiments with the well crystallizing 14-3-3σ-ΔC construct and phosphopeptides representing sites in Sirt1, Sirt3 and Sirt6. For Sirt1pS670 and Sirt3pS103, crystals of their 14-3-3σ-ΔC complexes could be obtained and high-resolution diffraction data were collected on BESSY beamline BL14.1. The 14-3-3σ-ΔC complexes were solved by molecular replacement with PDB entry 1ywt as the search model (Figs. 4[link] and 5[link]). The complex structures were refined for the Sirt3pS103 peptide at 1.11 Å resolution to Rcryst and Rfree values of 12.8% and 14.5%, respectively, and for the Sirt1pS670 peptide at 1.64 Å resolution to Rcryst and Rfree values of 17.6% and 20.2%, respectively (Table 3[link]). The structures feature electron density for all 231 residues of the 14-3-3 monomer in the asymmetric unit, with a gap between Glu71 and Gly78 in the case of the Sirt1pS670 complex. Each 14-3-3 monomer has the established overall structure for this protein class, with nine antiparallel helices. The phosphopeptide complexes arrange with a symmetry mate into the classical `W' form to build a large central binding cavity (Supplementary Fig. S1). For both phosphopeptides, a single molecule is well defined by electron density and occupies the central generic peptide-binding groove of 14-3-3σ-ΔC in an extended conformation.

[Figure 4]
Figure 4
Crystal structure of the 14-3-3σ–Sirt3pS103 complex. (a) Content of the asymmetric unit showing a 14-3-3σ monomer with bound Sirt3 peptide. The normal physiological 14-3-3 dimer is formed by a symmetry-related molecule (see Supplementary Fig. S1). (b) Sirt3 peptide binding site with hydrogen-bonding network. (c) OMIT (by omitting Sirt3 peptide atoms) electron densities of the Sirt3 peptide contoured at 2σ (green) and at 4σ (magenta). (d, e) Structure superposition of Sirt3 peptide with (d) 14-3-3 binding mode 1 (PDB entry 1qjb) and (e) mode 2 (PDB entry 1qja) peptides by fitting the pSer residue using the Coot `superpose ligand' function. C-atom coloring: Sirt3, peptide yellow; mode 1 peptide, green; mode 2 peptide, orange.
[Figure 5]
Figure 5
Crystal structure of the 14-3-3σ–Sirt1pS670 complex, (a) Content of the asymmetric unit showing a 14-3-3σ monomer with bound Sirt1 peptide and missing the loop Asn70–Pro79. The normal physiological 14-3-3 dimer is formed by a symmetry-related molecule (see Supplementary Fig. S1). (b) Sirt1 peptide binding site with hydrogen-bonding network. (c) OMIT (by omitting peptide atoms) electron densities of Sirt1 peptide contoured at 2σ (green) and at 4σ (magenta). (d, e) Structure superposition of Sirt1 peptide with (d) 14-3-3 binding mode 1 (PDB entry 1qjb) and (e) mode 2 (PDB entry 1qja) peptides by fitting the pSer residue using the Coot `superpose ligand' function. C-atom coloring: Sirt1 peptide, cyan; mode 1 peptide, green; mode 2 peptide, orange.

In both peptide complexes, the negative charge of the phosphate moiety of the phosphoserine is compensated by the classical positively charged patch formed by Arg56 and Arg129, and a hydrogen bond to Tyr130. The Sirt1pS670 phosphopeptide complex also features the typical phosphate interaction with Lys49. In contrast, the Sirt3pS103 complex lacks this phosphate interaction with Lys49, which instead forms a hydrogen bond to the +2 (amino-acid sequence position relative to the phosphorylation site) carbonyl oxygen. Despite this small difference, both sirtuin phosphopeptides show the high-affinity in vitro binding of classical 14-3-3 binding motifs.

The most striking feature of the 14-3-3 binding motifs proposed for both sirtuins is the substitution of the assumed to be conserved Pro at the +2 position by a small hydrophilic residue or the flexible Gly. These residues also deviate from the Leu or Met substituting for Pro at this position in previously reported extended 14-3-3 binding modes (Johnson et al., 2010View full citation). On the other side, both sirtuin modes contain a serine at the −2 position and, in the case of Sirt3, a conserved arginine residue at −3 (mode 1; at −4 in mode 2; Figs. 2[link]a and 4[link]). In contrast, the Sirt1 peptide lacks any sequence similarity to both classical 14-3-3 peptide modes except for the Ser at the −2 position. Still, both sirtuin peptides bind in a very similar way on the N-terminal side of pSer, `fixed' by the only specific peptide side-chain hydrogen bond of this conserved Ser to Trp230 and Glu182 of the 14-3-3σ protein. Furthermore, the generic Arg residues in Sirt3 both show highly flexible side chains and in fact were excluded from the final model due to a lack of defining electron density. This observation agrees with the Arg conformations in the high-resolution 14-3-3 complex with mode 1 nuclear export signal phosphopeptide (PDB entry 1qjb; Wilker et al., 2005View full citation). This complex consists of two 14-3-3 monomers in the asymmetric unit with two different peptide Arg side-chain conformations in each subunit in weak electron density and with high ADP values, also indicating disordered side chains for this conserved mode 1 residue. Our results thus fit to these previous observations and suggest that binding-motif variations N-terminal to the phosphosite can be accommodated without a significant loss in binding affinity. This observation is also consistent with the lack of tight binding for Sirt3p105, which lacks the Arg residues, and might indicate a primarily electrostatic contribution of this target region, depending on the charge distribution but not so much on the exact atom positions.

In the Sirt3pS103 complex, the peptide backbone shows a very similar conformation on the N-terminal side of the phosphate moiety as in the 14-3-3 mode 1 complexes. On the C-terminal side, it contains a sequence strongly deviating from previously identified interaction motifs and adopts a unique backbone conformation due to the loss of the +2 Pro. Rather than leaving the peptide-binding site, as seen in classical mode 1 complexes, the Sirt3 peptide backbone reorients the 14-3-3 Lys49 side chain, which forms a hydrogen bond to a Sirt3 peptide carbonyl instead of the normally observed interaction with the phosphate moiety. Interestingly, the Sirt3 peptide binds with (at least) two backbone conformations at this C-terminal side of the phosphorylated serine. The main conformation could be modeled with an occupancy of 70%. A second backbone conformation could only be modeled for Sirt3 residues Phe104 and Ser105 (Fig. 4[link]). The crystal-packing strength of the Sirt3 peptide complex appears to be unaffected, as indicated by the very high diffraction (Table 2[link]), which is in agreement with all 14-3-3 peptide-complex structures, but shows a so far unobserved heterogenous 14-3-3 peptide binding partner. This new Lys49 side-chain hydrogen-bond conformation provides a rationale for efficient ligand binding by 14-3-3 proteins in the absence of one of the classical binding motifs.

The Sirt1pS670 complex supports the model of structurally heterogenous yet tight binding on the C-terminal side of the phosphoserine suggested by the Sirt3 peptide complex. Compared with all previously reported 14-3-3 target sequences, the Sirt1 peptide (pSCGSNS) features the most flexible sequence. However, this high backbone flexibility is compensated by a new sequence feature of the Sirt1 motif: the small residues at the C-terminal side of the phosphorylated serine lead to a specific side-chain hydrogen bond from the +4 Asp to the carbonyl oxygen of 14-3-3σ Leu218. Such an interaction has so far not been observed in any 14-3-3 phosphopeptide complex. Our high-resolution diffraction data further allowed the positional refinement of multiple side-chain conformations for the phosphopeptide, which indicate that this sequence part of the 14-3-3 ligand either does not contribute significantly to the binding affinity and thus can tolerate larger sequence variations or can contribute through varying interactions. Our complex structures thus suggest a C-terminally extended (up to five amino acids upstream from the phosphorylation site) and more variable sequence motif for 14-3-3 binding. Although our data are restricted to peptide ligands, the respective motifs are located in sirtuin regions that are assumed to be flexible since all phosphorylation sites are located, according to the UniProt description, outside the structurally known (or assumed) domains. They are thus likely to reflect the interaction modes of the full-length proteins and can therefore serve as a basis for further cellular studies on 14-3-3 binding to sirtuins and other proteins via extended binding modes.

Acknowledgements

Diffraction data were collected on BL14.1 at the BESSY II electron-storage ring operated by the Helmholtz-Zentrum Berlin (Mueller et al., 2015View full citation). We would particularly like to acknowledge the help and support of Karine Sparta during the experiment. We also thank Susanne Schäfer, Lisa Lauterbach and Norbert Grillenbeck for protein purification and MST measurements, Julian Pfahler for the help in the MST data fitting and Philipp Thiel for the PSSM analysis. Open access funding enabled and organized by Projekt DEAL.

Funding information

This work was supported by Deutsche Forschungsgemein­schaft (grant STE1701/15, project No. 277644855 to CS).

References

Return to citationAitken, A. (1996). Trends Cell Biol. 6, 341–347.  CrossRef PubMed CAS Google Scholar
Return to citationAitken, A. (2006). Semin. Cancer Biol. 16, 162–172.  Web of Science CrossRef PubMed CAS Google Scholar
Return to citationAlblova, M., Smidova, A., Docekal, V., Vesely, J., Herman, P., Obsilova, V. & Obsil, T. (2017). Proc. Natl Acad. Sci. USA, 30, E9811–E9820.  Google Scholar
Return to citationAndersen, J. L., Thompson, J. W., Lindblom, K. R., Johnson, E. S., Yang, C.-S., Lilley, L. R., Freel, C. D., Moseley, M. A. & Kornbluth, S. (2011). Mol. Cell, 43, 834–842.  CrossRef CAS PubMed Google Scholar
Return to citationAndlovic, B., Heilmann, G., Ninck, S., Andrei, S. A., Centorrino, F., Higuchi, Y., Kato, N., Brunsveld, L., Arkin, M., Menninger, S., Choidas, A., Wolf, A., Klebl, B., Kaschani, F., Kaiser, M., Eickhoff, J. & Ottmann, C. (2023). Cell Chem. Biol. 30, 573–590.  CrossRef CAS PubMed Google Scholar
Return to citationBerdichevsky, A., Viswanathan, M., Horvitz, H. R. & Guarente, L. (2006). Cell, 125, 1165–1177.  CrossRef PubMed CAS Google Scholar
Return to citationBonet, R., Vakonakis, I. & Campbell, I. D. (2013). J. Mol. Biol. 425, 3060–3072.  CrossRef CAS PubMed Google Scholar
Return to citationChen, Y., Zhang, J., Lin, Y., Lei, Q., Guan, K., Zhao, S. & Xiong, Y. (2011). EMBO Rep. 12, 534–541.  CrossRef CAS PubMed Google Scholar
Return to citationCimen, H., Han, M.-J., Yang, Y., Tong, Q., Koc, H. & Koc, E. C. (2010). Biochemistry, 49, 304–311.  CrossRef CAS PubMed Google Scholar
Return to citationEmsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. (2010). Acta Cryst. D66, 486–501.  Web of Science CrossRef CAS IUCr Journals Google Scholar
Return to citationFinley, L. W. S., Haas, W., Desquiret-Dumas, V., Wallace, D. C., Procaccio, V., Gygi, S. P. & Haigis, M. C. (2011). PLoS One, 6, e23295.  CrossRef PubMed Google Scholar
Return to citationGogl, G., Tugaeva, K. V., Eberling, P., Kostmann, C., Trave, G. & Sluchanko, N. N. (2021). Nat. Commun. 12, 1677.  Web of Science CrossRef PubMed Google Scholar
Return to citationHirschey, M. D., Shimazu, T., Goetzman, E., Jing, E., Schwer, B., Lombard, D. B., Grueter, C. A., Harris, C., Biddinger, S., Ilkayeva, O. R., Stevens, R. D., Li, Y., Saha, A. K., Ruderman, N. B., Bain, J. R., Newgard, C. B., Farese, R. V. Jr, Alt, F. W., Kahn, C. R. & Verdin, E. (2010). Nature, 464, 121–125.  CrossRef CAS PubMed Google Scholar
Return to citationHornbeck, P. V., Zhang, B., Murray, B., Kornhauser, J. M., Latham, V. & Skrzypek, E. (2015). Nucleic Acids Res. 43, D512–D520.  Web of Science CrossRef CAS PubMed Google Scholar
Return to citationJain, N., Janning, P. & Neumann, H. (2021). J. Biol. Chem. 296, 100078.  CrossRef PubMed Google Scholar
Return to citationJin, Y.-H., Kim, Y.-J., Kim, D.-W., Baek, K.-H., Kang, B. Y., Yeo, C.-Y. & Lee, K.-Y. (2008). Biochem. Biophys. Res. Commun. 368, 690–695.  CrossRef PubMed CAS Google Scholar
Return to citationJohnson, C., Crowther, S., Stafford, M. H., Campbell, D. G., Toth, R. & MacKintosh, C. (2010). Biochem. J. 427, 69–78.  CrossRef CAS PubMed Google Scholar
Return to citationKabsch, W. (2010). Acta Cryst. D66, 125–132.  Web of Science CrossRef CAS IUCr Journals Google Scholar
Return to citationKaplan, A., Andrei, S. A., van Regteren Altena, A., Simas, T., Banerjee, S. L., Kato, N., Bisson, N., Higuchi, Y., Ottmann, C. & Fournier, A. E. (2020). Cell Chem. Biol. 27, 657–667.  Web of Science CrossRef CAS PubMed Google Scholar
Return to citationKleppe, R., Martinez, A., Døskeland, S. O. & Haavik, J. (2011). Semin. Cell Dev. Biol. 22, 713–719.  Web of Science CrossRef CAS PubMed Google Scholar
Return to citationLynn, E. G., McLeod, C. J., Gordon, J. P., Bao, J. & Sack, M. (2008). FEBS Lett. 582, 2857–2862.  CrossRef PubMed CAS Google Scholar
Return to citationMadeira, F., Tinti, M., Murugesan, G., Berrett, E., Stafford, M., Toth, R., Cole, C., MacKintosh, C. & Barton, G. J. (2015). Bioinformatics, 31, 2276–2283.  Web of Science CrossRef CAS PubMed Google Scholar
Return to citationMartinez Fiesco, J. A., Durrant, D. E., Morrison, D. K. & Zhang, P. (2022). Nat. Commun. 13, 486.  CrossRef PubMed Google Scholar
Return to citationMcCoy, A. J., Grosse-Kunstleve, R. W., Adams, P. D., Winn, M. D., Storoni, L. C. & Read, R. J. (2007). J. Appl. Cryst. 40, 658–674.  Web of Science CrossRef CAS IUCr Journals Google Scholar
Return to citationMovahedi Naini, S., Sheridan, A. M., Force, T., Shah, J. V. & Bonventre, J. V. (2015). Mol. Cell. Biol. 35, 3768–3784.  CrossRef PubMed Google Scholar
Return to citationMueller, U., Förster, R., Hellmig, M., Huschmann, F. U., Kastner, A., Malecki, P., Pühringer, S., Röwer, M., Sparta, K., Steffien, M., Ühlein, M., Wilk, P. & Weiss, M. S. (2015). Eur. Phys. J. Plus, 130, 141.  Web of Science CrossRef Google Scholar
Return to citationMurshudov, G. N., Skubák, P., Lebedev, A. A., Pannu, N. S., Steiner, R. A., Nicholls, R. A., Winn, M. D., Long, F. & Vagin, A. A. (2011). Acta Cryst. D67, 355–367.  Web of Science CrossRef CAS IUCr Journals Google Scholar
Return to citationMuslin, A. J., Tanner, J. W., Allen, P. M. & Shaw, A. S. (1996). Cell, 84, 889–897.  CrossRef CAS PubMed Web of Science Google Scholar
Return to citationObsil, T., Ghirlando, R., Klein, D. C., Ganguly, S. & Dyda, F. (2001). Cell, 105, 257–267.  Web of Science CrossRef PubMed CAS Google Scholar
Return to citationObsil, T. & Obsilova, V. (2011). Semin. Cell Dev. Biol. 22, 663–672.  Web of Science CrossRef CAS PubMed Google Scholar
Return to citationObsilova, V. & Obsil, T. (2022). Front. Mol. Biosci. 9, 1016071.  CrossRef PubMed Google Scholar
Return to citationPereira, J. M., Chevalier, C., Chaze, T., Gianetto, Q., Impens, F., Matondo, M., Cossart, P. & Hamon, M. A. (2018). Cell. Rep. 23, 1124–1137.  CrossRef CAS PubMed Google Scholar
Return to citationPetosa, C., Masters, S. C., Bankston, L. A., Pohl, J., Wang, B., Fu, H. & Liddington, R. C. (1998). J. Biol. Chem. 273, 16305–16310.  Web of Science CrossRef CAS PubMed Google Scholar
Return to citationRardin, M. J., Newman, J. C., Held, J. M., Cusack, M. P., Sorensen, D. J., Li, B., Schilling, B., Mooney, S. D., Kahn, C. R., Verdin, E. & Gibson, B. W. (2013). Proc. Natl Acad. Sci. USA, 110, 6601–6606.  CrossRef CAS PubMed Google Scholar
Return to citationShimazu, T., Hirschey, M. D., Hua, L., Dittenhafer-Reed, K. E., Schwer, B., Lombard, D. B., Li, Y., Bunkenborg, J., Alt, F. W., Denu, J. M., Jacobson, M. P. & Verdin, E. (2010). Cell Metab. 12, 654–661.  CrossRef CAS PubMed Google Scholar
Return to citationTao, R., Coleman, M. C., Pennington, J. D., Ozden, O., Park, S.-H., Jiang, H., Kim, H.-S., Flynn, C. R., Hill, S., Hayes McDonald, W., Olivier, A. K., Spitz, D. R. & Gius, D. (2010). Mol. Cell, 40, 893–904.  CrossRef CAS PubMed Google Scholar
Return to citationThiel, P. (2015). PhD thesis. Universität Tübingen, Germany.  Google Scholar
Return to citationWang, B., Yang, H., Liu, Y.-C., Jelinek, T., Zhang, L., Ruoslahti, E. & Fu, H. (1999). Biochemistry, 38, 12499–12504.  CrossRef PubMed CAS Google Scholar
Return to citationWang, Y., Oh, S. W., Deplancke, B., Luo, J., Walhout, A. J. M. & Tissenbaum, H. A. (2006). Mech. Ageing Dev. 127, 741–747.  CrossRef PubMed CAS Google Scholar
Return to citationWilker, E. W., Grant, R. A., Artim, S. C. & Yaffe, M. B. (2005). J. Biol. Chem. 280, 18891–18898.  CrossRef PubMed CAS Google Scholar
Return to citationWinter, S., Fischle, W. & Seiser, C. (2008). Cell Cycle, 7, 1336–1342.  CrossRef PubMed CAS Google Scholar
Return to citationWu, P., Zhang, B., Han, X., Sun, Y., Sun, Z., Li, L., Zhou, X., Jin, Q., Fu, P., Xu, W. & Qian, H. (2021). Aging, 13, 11542–11563.  CrossRef CAS PubMed Google Scholar
Return to citationYaffe, M. B., Rittinger, K., Volinia, S., Caron, P. R., Aitken, A., Leffers, H., Gamblin, S. J., Smerdon, S. J. & Cantley, L. C. (1997). Cell, 91, 961–971.  Web of Science CrossRef CAS PubMed Google Scholar
Return to citationYang, X., Lee, W. H., Sobott, F., Papagrigoriou, E., Robinson, C. V., Grossmann, J. G., Sundström, M., Doyle, D. A. & Elkins, J. M. (2006). Proc. Natl Acad. Sci. USA, 103, 17237–17242.  Web of Science CrossRef PubMed CAS Google Scholar
Return to citationZha, J., Harada, H., Yang, E., Jockel, J. & Korsmeyer, S. J. (1996). Cell, 87, 619–628.  CrossRef CAS PubMed Google Scholar

This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.

Journal logoSTRUCTURAL BIOLOGY
COMMUNICATIONS
ISSN: 2053-230X
Follow Acta Cryst. F
Sign up for e-alerts
Follow Acta Cryst. on Twitter
Follow us on facebook
Sign up for RSS feeds