Intact MutY and its catalytic domain differentially contact with A/8-oxoG-containing DNA

Escherichia coli MutY is an adenine and a weak guanine DNA glycosylase active on DNA substrates containing A/G, A/8-oxoG, A/C or G/8-oxoG mismatches. A truncated form of MutY (M25, residues 1–226) retains catalytic activity; however, the C-terminal domain of MutY is required for specific binding to the 8-oxoG and is critical for mutation avoidance of oxidative damage. Using alkylation interference experiments, the determinants of the truncated and intact MutY were compared on A/8-oxoG-containing DNA. Several purines within the proximity of mismatched A/8-oxoG show differential contact by the truncated and intact MutY. Most importantly, methylation at the N7 position of the mismatched 8-oxoG and the N3 position of mismatched A interfere with intact MutY but not with M25 binding. The electrostatic contacts of MutY and M25 with the A/8-oxoG-containing DNA substrates are drastically different as shown by ethylation interference experiments. Five consecutive phosphate groups surrounding the 8-oxoG (one on the 3′ side and four on the 5′ side) interact with MutY but not with M25. The activities of the truncated and intact MutY are modulated differently by two minor groove-binding drugs, distamycin A and Hoechst 33258. Both distamycin A and Hoechst 33258 can inhibit, to a similar extent, the binding and glycosylase activities of MutY and M25 on A/G mismatch. However, binding and glycosylase activities on A/8-oxoG mismatch of intact MutY are inhibited to a lesser degree than those of M25. Overall, these results suggest that the C-terminal domain of MutY specifies additional contact sites on A/GO-containing DNA that are not found in MutY–A/G and M25–A/8-oxoG interactions.     

Interaction of synthetic analogues of distamycin and netropsin with nucleic acids. Does curvature of ligand play a role in distamycin-DNA interactions?

Distamycin and netropsin, a class of minor groove binding nonintercalating agents, are characterized by their B-DNA and A-T base-specific interactions. To understand the conformational and chemical basis of the above specificities, the DNA-binding characteristics of a novel synthetic analogue of distamycin have been studied. The analogue, mPD derivative, has the requisite charged end groups and a number of potential hydrogen-bonding loci equal to those of distamycin. The difference in the backbone curvatures of the ligands, distamycin, the mPD derivative, and NSC 101327 (another structurally analogous compound), is a major difference between these ligands. UV and CD spectroscopic studies reported here show the following salient features: The mPD derivative recognizes only B-DNA, to which it binds via the minor groove. On the other hand, unlike distamycin, it binds with comparable affinities to A-T and G-C base pairs in a natural DNA. These DNA-binding properties are compared with those reported earlier for distamycin and NSC 101327 [Zimmer, Ch., & Wahnert, U. (1986) Prog. Biophys. Mol. Biol. 47, 31-112]. The backbone structures of these three ligands were compared to show the progressive decrease in curvatures in the order distamycin, mPD derivative, and NSC 101327. The plausible significance of the backbone curvature vis-à-vis the characteristic B-DNA and AT-specific binding of distamycin is discussed. To our knowledge, this is the first attempt (with a model synthetic analogue) to probe the possible influence of backbone curvature upon the specificity of interactions of the distamycin class of groove-binding ligands with DNA.     

Probing the interaction of distamycin A with S100β: the “unexpected” ability of S100β to bind to DNA‐binding ligands

DNA‐minor‐groove‐binding ligands are potent antineoplastic molecules. The antibiotic distamycin A is the prototype of one class of these DNA‐interfering molecules that have been largely used in vitro. The affinity of distamycin A for DNA is well known, and the structural details of the complexes with some B‐DNA and G‐quadruplex‐forming DNA sequences have been already elucidated. Here, we show that distamycin A binds S100β, a protein involved in the regulation of several cellular processes. The reported affinity of distamycin A for the calcium(II)‐loaded S100β reinforces the idea that some biological activities of the DNA‐minor‐groove‐binding ligands arise from the binding to cellular proteins. Copyright © 2015 John Wiley & Sons, Ltd.     

Multiple hPOT1–TPP1 cooperatively unfold contiguous telomeric G-quadruplexes proceeding from 3′ toward 5′, a feature due to a 3′-end binding preference and to structuring of telomeric DNA

Telomeres are DNA repeated sequences that associate with shelterin proteins and protect the ends of eukaryotic chromosomes. Human telomeres are composed of 5′TTAGGG repeats and ends with a 3′ single-stranded tail, called G-overhang, that can be specifically bound by the shelterin protein hPOT1 (human Protection of Telomeres 1). In vitro studies have shown that the telomeric G-strand can fold into stable contiguous G-quadruplexes (G4). In the present study we investigated how hPOT1, in complex with its shelterin partner TPP1, binds to telomeric sequences structured into contiguous G4 in potassium solutions. We observed that binding of multiple hPOT1–TPP1 preferentially proceeds from 3′ toward 5′. We explain this directionality in terms of two factors: (i) the preference of hPOT1–TPP1 for the binding site situated at the 3′ end of a telomeric sequence and (ii) the cooperative binding displayed by hPOT1–TPP1 in potassium. By comparing binding in K⁺ and in Li⁺, we demonstrate that this cooperative behaviour does not stem from protein-protein interactions, but from structuring of the telomeric DNA substrate into contiguous G4 in potassium. Our study suggests that POT1-TPP1, in physiological conditions, might preferentially cover the telomeric G-overhang starting from the 3′-end and proceeding toward 5′.     

From Nonspecific DNA–Protein Encounter Complexes to the Prediction of DNA–Protein Interactions

DNA–protein interactions are involved in many essential biological activities. Because there is no simple mapping code between DNA base pairs and protein amino acids, the prediction of DNA–protein interactions is a challenging problem. Here, we present a novel computational approach for predicting DNA-binding protein residues and DNA–protein interaction modes without knowing its specific DNA target sequence. Given the structure of a DNA-binding protein, the method first generates an ensemble of complex structures obtained by rigid-body docking with a nonspecific canonical B-DNA. Representative models are subsequently selected through clustering and ranking by their DNA–protein interfacial energy. Analysis of these encounter complex models suggests that the recognition sites for specific DNA binding are usually favorable interaction sites for the nonspecific DNA probe and that nonspecific DNA–protein interaction modes exhibit some similarity to specific DNA–protein binding modes. Although the method requires as input the knowledge that the protein binds DNA, in benchmark tests, it achieves better performance in identifying DNA-binding sites than three previously established methods, which are based on sophisticated machine-learning techniques. We further apply our method to protein structures predicted through modeling and demonstrate that our method performs satisfactorily on protein models whose root-mean-square Cα deviation from native is up to 5 Å from their native structures. This study provides valuable structural insights into how a specific DNA-binding protein interacts with a nonspecific DNA sequence. The similarity between the specific DNA–protein interaction mode and nonspecific interaction modes may reflect an important sampling step in search of its specific DNA targets by a DNA-binding protein.     

Molecular dynamics simulations and free energy calculations of netropsin and distamycin binding to an AAAAA DNA binding site

Molecular dynamics simulations have been performed on netropsin in two different charge states and on distamycin binding to the minor groove of the DNA duplex d(CGCGAAAAACGCG)·d(CGCGTTTTTCGCG). The relative free energy of binding of the two non-covalently interacting ligands was calculated using the thermodynamic integration method and reflects the experimental result. From 2 ns simulations of the ligands free in solution and when bound to DNA, the mobility and the hydrogen-bonding patterns of the ligands were studied, as well as their hydration. It is shown that even though distamycin is less hydrated than netropsin, the loss of ligand–solvent interactions is very similar for both ligands. The relative mobilities of the ligands in their bound and free forms indicate a larger entropic penalty for distamycin when binding to the minor groove compared with netropsin, partially explaining the lower binding affinity of the distamycin molecule. The detailed structural and energetic insights obtained from the molecular dynamics simulations allow for a better understanding of the factors determining ligand–DNA binding.     

Human Rev1 polymerase disrupts G-quadruplex DNA

The Y-family DNA polymerase Rev1 is required for successful replication of G-quadruplex DNA (G4 DNA) in higher eukaryotes. Here we show that human Rev1 (hRev1) disrupts G4 DNA structures and prevents refolding in vitro. Nucleotidyl transfer by hRev1 is not necessary for mechanical unfolding to occur. hRev1 binds G4 DNA substrates with K_d,DNA values that are 4–15-fold lower than those of non-G4 DNA substrates. The pre-steady-state rate constant of deoxycytidine monophosphate (dCMP) insertion opposite the first tetrad-guanine by hRev1 is ∼56% as fast as that observed for non-G4 DNA substrates. Thus, hRev1 can promote fork progression by either dislodging tetrad guanines to unfold the G4 DNA, which could assist in extension by other DNA polymerases, or hRev1 can prevent refolding of G4 DNA structures. The hRev1 mechanism of action against G-quadruplexes helps explain why replication progress is impeded at G4 DNA sites in Rev1-deficient cells and illustrates another unique feature of this enzyme with important implications for genome maintenance.     

Direct measurement of protein–protein interactions by FLIM-FRET at UV laser-induced DNA damage sites in living cells

Protein–protein interactions are essential to ensure timely and precise recruitment of chromatin remodellers and repair factors to DNA damage sites. Conventional analyses of protein–protein interactions at a population level may mask the complexity of interaction dynamics, highlighting the need for a method that enables quantification of DNA damage-dependent interactions at a single-cell level. To this end, we integrated a pulsed UV laser on a confocal fluorescence lifetime imaging (FLIM) microscope to induce localized DNA damage. To quantify protein–protein interactions in live cells, we measured Förster resonance energy transfer (FRET) between mEGFP- and mCherry-tagged proteins, based on the fluorescence lifetime reduction of the mEGFP donor protein. The UV-FLIM-FRET system offers a unique combination of real-time and single-cell quantification of DNA damage-dependent interactions, and can distinguish between direct protein–protein interactions, as opposed to those mediated by chromatin proximity. Using the UV-FLIM-FRET system, we show the dynamic changes in the interaction between poly(ADP-ribose) polymerase 1, amplified in liver cancer 1, X-ray repair cross-complementing protein 1 and tripartite motif containing 33 after DNA damage. This new set-up complements the toolset for studying DNA damage response by providing single-cell quantitative and dynamic information about protein–protein interactions at DNA damage sites.     

Energetic basis for selective recognition of T*G mismatched base pairs in DNA by imidazole-rich polyamides

To complement available structure and binding results and to develop a detailed understanding of the basis for selective molecular recognition of T·G mismatches in DNA by imidazole containing polyamides, a full thermodynamic profile for formation of the T·G–polyamide complex has been determined. The amide-linked heterocycles f-ImImIm and f-PyImIm (where f is formamido group, Im is imidazole and Py is pyrrole) were studied by using biosensor-surface plasmon resonance (SPR) and isothermal titration calorimetry (ITC) with a T·G mismatch containing DNA hairpin duplex and a similar DNA with only Watson–Crick base pairs. Large negative binding enthalpies for all of the polyamide–DNA complexes indicate that the interactions are enthalpically driven. SPR results show slower complex formation and stronger binding of f-ImImIm to the T·G than to the match site. The thermodynamic analysis indicates that the enhanced binding to the T·G site is the result of better entropic contributions. Negative heat capacity changes for the complex are correlated with calculated solvent accessible surface area changes and indicate hydrophobic contributions to complex formation. DNase I footprinting analysis in a long DNA sequence provided supporting evidence that f-ImImIm binds selectively to T·G mismatch sites.     

Combining chromatin immunoprecipitation and DNA footprinting: a novel method to analyze protein–DNA interactions in vivo

A variety of methods are available to analyze protein–DNA interactions in vivo. Two of the most prominent of these methods are chromatin immunoprecipitation (ChIP) and in vivo footprinting. Both of these procedures have specific limitations. For example, the ChIP assay fails to document where exactly a protein binds in vivo. The precipitation of a specific segment of DNA with antibodies directed against DNA-binding proteins does not necessarily indicate that the protein directly interacts with a sequence in the precipitate but could rather reflect protein–protein interactions. Furthermore, the results of in vivo footprinting studies are inconclusive if a DNA sequence is analyzed that is bound by a specific protein in only a certain fraction of cells. Finally, in vivo footprinting does not indicate which protein is bound at a specific site. We have developed a new procedure that combines the ChIP assay and DMS footprinting techniques. Using this method we show here that antibodies specific for USF1 and NF-E2 precipitate the murine β-globin promoter in MEL cells. DMS footprinting analysis of the DNA precipitated with NF-E2 antibodies revealed a protection over a partial NF-E2-binding site in the β-globin downstream promoter region. We believe that this novel method will generally benefit investigators interested in analyzing protein–DNA interactions in vivo.     

Conformation dependent binding of netropsin and distamycin to DNA and DNA model polymers

The binding of the antibiotics netropsin and distamycin A to DNA has been studied by thermal melting, CD and sedimentation analysis. Netropsin binds strongly at antibiotic/nucleotide ratios up to at least 0.05. CD spectra obtained using DNA model polymers reveal that netropsin binds tightly to poly (dA) · poly (dT), poly (dA-dT) · poly(dA-dT) and poly (dI-dC) · poly (dI-dC) but poorly, if at all, to poly (dG) · poly (dC). Binding curves obtained with calf thymus DNA reveal one netropsin-binding site per 6.0 nucleotides (K_a=2.9 · 10⁵ M⁻¹); corresponding values for distamycin A are one site per 6.1 nucleotides with K_a= 11.6 · 10⁵ M⁻¹. Binding sites apparently involve predominantly A·T-rich sequences whose specific conformation determines their high affinity for the two antibiotics. It is suggested that the binding is stabilized primarily by hydrogen bonding and electrostatic interactions probably in the narrow groove of the DNA helix, but without intercalation. Any local structural deformation of the helix does not involve unwinding greater than approximately 3° per bound antibiotic molecule.     

Definition of the interacting interfaces of Apobec3G and HIV-1 Vif using MAPPIT mutagenesis analysis

The host restriction factor Apobec3G is a cytidine deaminase that incorporates into HIV-1 virions and interferes with viral replication. The HIV-1 accessory protein Vif subverts Apobec3G by targeting it for proteasomal degradation. We propose a model in which Apobec3G N-terminal domains symmetrically interact via a head-to-head interface containing residues 122 RLYYFW 127. To validate this model and to characterize the Apobec3G–Apobec3G and the Apobec3G–Vif interactions, the mammalian protein–protein interaction trap two-hybrid technique was used. Mutations in the head-to-head interface abrogate the Apobec3G–Apobec3G interaction. All mutations that inhibit Apobec3G–Apobec3G binding also inhibit the Apobec3G–Vif interaction, indicating that the head-to head interface plays an important role in the interaction with Vif. Only the D128K, P129A and T32Q mutations specifically affect the Apobec3G–Vif association. In our model, D128, P129 and T32 cluster at the edge of the head-to-head interface, possibly forming a Vif binding site composed of two Apobec3G molecules. We propose that Vif either binds at the Apobec3G head-to-head interface or associates with an RNA-stabilized Apobec3G oligomer.     

Structure of p53 binding to the BAX response element reveals DNA unwinding and compression to accommodate base-pair insertion

The p53 core domain binds to response elements (REs) that contain two continuous half-sites as a cooperative tetramer, but how p53 recognizes discontinuous REs is not well understood. Here we describe the crystal structure of the p53 core domain bound to a naturally occurring RE located at the promoter of the Bcl-2-associated X protein (BAX) gene, which contains a one base-pair insertion between the two half-sites. Surprisingly, p53 forms a tetramer on the BAX-RE that is nearly identical to what has been reported on other REs with a 0-bp spacer. Each p53 dimer of the tetramer binds in register to a half-site and maintains the same protein–DNA interactions as previously observed, and the two dimers retain all the protein–protein contacts without undergoing rotation or translation. To accommodate the additional base pair, the DNA is deformed and partially disordered around the spacer region, resulting in an apparent unwinding and compression, such that the interactions between the dimers are maintained. Furthermore, DNA deformation within the p53-bound BAX-RE is confirmed in solution by site-directed spin labeling measurements. Our results provide a structural insight into the mechanism by which p53 binds to discontinuous sites with one base-pair spacer.     

5-Methylcytosine DNA glycosylase activity is also present in the human MBD4 (G/T mismatch glycosylase) and in a related avian sequence

A 1468 bp cDNA coding for the chicken homolog of the human MBD4 G/T mismatch DNA glycosylase was isolated and sequenced. The derived amino acid sequence (416 amino acids) shows 46% identity with the human MBD4 and the conserved catalytic region at the C-terminal end (170 amino acids) has 90% identity. The non-conserved region of the avian protein has no consensus sequence for the methylated DNA binding domain. The recombinant proteins from human and chicken have G/T mismatch as well as 5-methylcytosine (5-MeC) DNA glycosylase activities. When tested by gel shift assays, human recombinant protein with or without the methylated DNA binding domain binds equally well to symmetrically, hemimethylated DNA and non-methylated DNA. However, the enzyme has only 5-MeC DNA glycosylase activity with the hemimethylated DNA. Footprinting of human MBD4 and of an N-terminal deletion mutant with partially depurinated and depyrimidinated substrate reveal a selective binding of the proteins to the modified substrate around the CpG. As for 5-MeC DNA glycosylase purified from chicken embryos, MBD4 does not use oligonucleotides containing mCpA, mCpT or mCpC as substrates. An mCpG within an A+T-rich oligonucleotide is a much better substrate than an A+T-poor sequence. The K_m of human MBD4 for hemimethylated DNA is ~10^–7 M with a V_max of ~10^–11 mol/h/µg protein. Deletion mutations show that G/T mismatch and 5-MeC DNA glycosylase are located in the C-terminal conserved region. In sharp contrast to the 5-MeC DNA glycosylase isolated from the chicken embryo DNA demethylation complex, the two enzymatic activities of MBD4 are strongly inhibited by RNA. In situ hybridization with antisense RNA indicate that MBD4 is only located in dividing cells of differentiating embryonic tissues.     

Complexed crystal structure of replication restart primosome protein PriB reveals a novel single-stranded DNA-binding mode

PriB is a primosomal protein required for replication restart in Escherichia coli. PriB stimulates PriA helicase activity via interaction with single-stranded DNA (ssDNA), but the molecular details of this interaction remain unclear. Here, we report the crystal structure of PriB complexed with a 15 bases oligonucleotide (dT15) at 2.7 Å resolution. PriB shares structural similarity with the E.coli ssDNA-binding protein (EcoSSB). However, the structure of the PriB–dT15 complex reveals that PriB binds ssDNA differently. Results from filter-binding assays show that PriB–ssDNA interaction is salt-sensitive and cooperative. Mutational analysis suggests that the loop L₄₅ plays an important role in ssDNA binding. Based on the crystal structure and biochemical analyses, we propose a cooperative mechanism for the binding of PriB to ssDNA and a model for the assembly of the PriA–PriB–ssDNA complex. This report presents the first structure of a replication restart primosomal protein complexed with DNA, and a novel model that explains the interactions between a dimeric oligonucleotide-binding-fold protein and ssDNA.     

The effects of local DNA sequence on the interaction of ligands with their preferred binding sites

We have examined the effects of local DNA sequence on the interaction of distamycin, Hoechst 33258, echinomycin, actinomycin and mithramycin with their preferred binding sites using a series of DNA fragments that contain every symmetrical hexanucleotide sequence. In several instances we find that the affinity for the ligands' preferred binding sites is affected by the hexanucleotide context in which they are located. The AT-selective minor groove binding ligand Hoechst 33258 shows a 200-fold difference in binding to the 16 different X(A/T)(4)Y sites; the strongest binding is to AAATTT and the weakest is to (G/C)TTAA(C/G). Although TTAA is generally a poor binding site, ATTAAT is better than TTTAAA and they are both much better than GTTAAC and CTTAAG. Similarly, TTATAA and ATATAT are better binding sites than GTATAC and CTATAG. In contrast, distamycin shows less discrimination between the various X(A/T)(4)Y sites, with a 20-fold difference between the best [(A/T)AATT(T/A)] and worst [GATATC and (G/C)TTAA(C/G)] sites. Although actinomycin binds to GpC it shows little or no interaction with any of the GGCC sites, yet shows only a six-fold variation in affinities for the other XYGCXY sites. Echinomycin binds to CpG yet shows no binding to TTCGAA, TGCGCA and AGCGCT, while the best binding is to AACGTT. The tetranucleotides CCGG and ACGT produce consistently good binding sites, irrespective of the surrounding sequences, while the interaction with TCGA and GCGC is sensitive to the hexanucleotide context. Hexanucleotides with a central GCGC, flanked by A and T are weaker echinomycin sites than those flanked by G and C, especially CGCGCG. The best X(G/C)(4)Y binding sites for mithramycin were located at AGCGCT and GGGCCC, and the worst at CCCGGG and TCCGGA. These footprinting fragments are valuable tools for comparing the binding of ligands to all the potential symmetrical hexanucleotides and provide insights into the effects of local DNA sequence on ligand-DNA interactions.     

Looking into DNA recognition: zinc finger binding specificity

We present a quantitative, theoretical analysis of the recognition mechanisms used by two zinc finger proteins: Zif268, which selectively binds to GC-rich sequences, and a Zif268 mutant, which binds to a TATA box site. This analysis is based on a recently developed method (ADAPT), which allows binding specificity to be analyzed via the calculation of complexation energies for all possible DNA target sequences. The results obtained with the zinc finger proteins show that, although both mainly select their targets using direct, pairwise protein–DNA interactions, they also use sequence-dependent DNA deformation to enhance their selectivity. A new extension of our methodology enables us to determine the quantitative contribution of these two components and also to measure the contributions of individual residues to overall specificity. The results show that indirect recognition is particularly important in the case of the TATA box binding mutant, accounting for 30% of the total selectivity. The residue-by-residue analysis of the protein–DNA interaction energy indicates that the existence of amino acid–base contacts does not necessarily imply sequence selectivity, and that side chains without contacts can nevertheless contribute to defining the protein's target sequence.     

Human Rad52 binds and wraps single-stranded DNA and mediates annealing via two hRad52–ssDNA complexes

Rad52 promotes the annealing of complementary strands of DNA bound by replication protein A (RPA) during discrete repair pathways. Here, we used a fluorescence resonance energy transfer (FRET) between two fluorescent dyes incorporated into DNA substrates to probe the mechanism by which human Rad52 (hRad52) interacts with and mediates annealing of ssDNA–hRPA complexes. Human Rad52 bound ssDNA or ssDNA–hRPA complex in two, concentration-dependent modes. At low hRad52 concentrations, ssDNA was wrapped around the circumference of the protein ring, while at higher protein concentrations, ssDNA was stretched between multiple hRad52 rings. Annealing by hRad52 occurred most efficiently when each complementary DNA strand or each ssDNA–hRPA complex was bound by hRad52 in a wrapped configuration, suggesting homology search and annealing occur via two hRad52–ssDNA complexes. In contrast to the wild type protein, hRad52^RQK/AAA and hRad52^1–212 mutants with impaired ability to bind hRPA protein competed with hRPA for binding to ssDNA and failed to counteract hRPA-mediated duplex destabilization highlighting the importance of hRad52-hRPA interactions in promoting efficient DNA annealing.