Double-stranded DNA Sequences Research Articles

Distortion of double-stranded DNA structure by the binding of the restriction DNA glycosylase R.PabI

R.PabI is a restriction DNA glycosylase that recognizes the sequence 5′-GTAC-3′ and hydrolyses the N-glycosidic bond of adenine in the recognition sequence. R.PabI drastically bends and unwinds the recognition sequence of double-stranded DNA (dsDNA) and flips the adenine and guanine bases in the recognition sequence into the catalytic and recognition sites on the protein surface. In this study, we determined the crystal structure of the R.PabI-dsDNA complex in which the dsDNA is drastically bent by the binding of R.PabI but the base pairs are not unwound. This structure is predicted to be important for the indirect readout of the recognition sequence by R.PabI. In the complex structure, wedge loops of the R.PabI dimer are inserted into the minor groove of dsDNA to stabilize the deformed dsDNA structure. A base stacking is distorted between the two wedge-inserted regions. R.PabI is predicted to utilize the distorted base stacking for the detection of the recognition sequence.

A study of Pt(II)-phenanthroline complex interactions with double-stranded and G-quadruplex DNA by ESI-MS, circular dichroism, and computational docking.

The binding interactions of a series of square-planar platinum(II)-phenanthroline complexes of the type [Pt(PL)(AL)]2+ [where PL = variously methyl-substituted 1,10-phenanthroline (phen) and AL = ethane-1,2-diamine (en)] were assessed with a G-quadruplex DNA (5'-TTG GGG GT-3', G4DNA) and a double-stranded DNA (5'-CGC GAA TTC GCG-3', dsDNA) sequence by ESI-MS. The results indicate a strong correlation between G4DNA affinity and increasing phenanthroline methyl substitution. Circular dichroism (CD) spectroscopy and molecular docking studies also support the finding that increased substitution of the phenanthroline ligand increased selectivity for G4DNA. ESI-MS was used to probe the interaction of a range of square-planar Pt(II)-phenanthroline complexes with double-stranded and G-quadruplex DNA.

Transcription Factor Binding in Embryonic Stem Cells Is Constrained by DNA Sequence Repeat Symmetry

Transcription factor (TF) recognition is dictated by the underlying DNA motif sequence specific for each TF. Here, we reveal that DNA sequence repeat symmetry plays a central role in defining TF-DNA-binding preferences. In particular, we find that different TFs bind similar symmetry patterns in the context of different developmental layers. Most TFs possess dominant preferences for similar DNA repeat symmetry types. However, in some cases, preferences of specific TFs are changed during differentiation, suggesting the importance of information encoded outside of known motif regions. Histone modifications also exhibit strong preferences for similar DNA repeat symmetry patterns unique to each type of modification. Next, using an in vivo reporter assay, we show that gene expression in embryonic stem cells can be positively modulated by the presence of genomic and computationally designed DNA oligonucleotides containing identified nonconsensus-repetitive sequence elements. This supports the hypothesis that certain nonconsensus-repetitive patterns possess a functional ability to regulate gene expression. We also performed a solution NMR experiment to probe the stability of double-stranded DNA via imino proton resonances for several double-stranded DNA sequences characterized by different repetitive patterns. We suggest that such local stability might play a key role in determining TF-DNA binding preferences. Overall, our findings show that despite the enormous sequence complexity of the TF-DNA binding landscape in differentiating embryonic stem cells, this landscape can be quantitatively characterized in simple terms using the notion of DNA sequence repeat symmetry.

Electrochemical sensory detection of Sus scrofa mtDNA for food adulteration using hybrid ferrocenylnaphthalene diimide intercalator as a hybridization indicator.

In this study, an electrochemical DNA biosensor was developed based on the fabrication of silicon nanowires/platinum nanoparticles (SiNWs/PtNPs) on a screen-printed carbon electrode (SPCE) for the detection of Sus scrofa mitochondrial DNA (mtDNA) in food utilizing a new hybrid indicator, ferrocenylnaphthalene diimide (FND). The morphology and elemental composition of the SiNWs/PtNPs-modified SPCE was analyzed by field emission scanning electron microscopy (FESEM) combined with energy dispersive X-ray spectroscopy (EDX). Cyclic voltammetry (CV) was used to study the electrical contact between the PtNPs and the screen-printed working electrode through SiNWs, while electrochemical impedance spectroscopy (EIS) was used to measure the charge transfer resistance of the modified electrode. The results clearly showed that the SiNWs/PtNPs were successfully coated onto the electrode and the effective surface area for the SiNWs/PtNPs-modified SPCE was increased 16.8 times as compared with that of the bare SPCE. Differential pulse voltammetry used for the detection of porcine DNA with FND as an intercalator confirmed its specific binding to the double-stranded DNA (dsDNA) sequences. The developed biosensor showed a selective response towards complementary target DNA and was able to distinguish non-complementary and mismatched DNA oligonucleotides. The SiNWs/PtNPs-modified SPCE that was fortified with DNA hybridization demonstrated good linearity in the range of 3 × 10−9 M to 3 × 10−5 M (R2 = 0.96) with a detection limit of 2.4 × 10−9 M. A cross-reactivity study against various types of meat and processed food showed good reliability for porcine samples.

An electrochemical biosensor based on a graphene oxide modified pencil graphite electrode for direct detection and discrimination of double-stranded DNA sequences.

The ability to directly recognize double-stranded DNA (ds-DNA) is a major challenge in disease diagnosis and gene therapy because DNA is naturally double-stranded. Herein, a novel electrochemical biosensor for the sequence-specific recognition of ds-DNA using a peptide nucleic acid (PNA) probe and graphene oxide (GO) modified pencil graphite electrode is reported and applied for the direct detection of the desired sequence in plasmid samples. For this purpose, GO was assembled onto the pencil graphite electrode surface (GO/PGE) by a simple casting method and applied for PNA probe immobilization (PNA-GO/PGE). Upon addition of ds-DNA, the interaction of the PNA probe with ds-DNA induces probe detachment from the electrode surface which results in a guanine oxidation signal decrease. Under optimized conditions, the guanine oxidation signal decreased linearly with the ds-DNA concentration increasing in the range from 30 pM to 10 nM, with a detection limit of 1.3 pM. Moreover, the proposed biosensor was applied for the sensitive and selective detection of double-stranded target DNA in plasmid samples. This proposed method could be used as a platform for direct detection of various sequences in double-stranded genomic DNA.

Signatures of Specific DNA Binding by the AT-Rich Interaction Domain of BAF250a.

The AT-rich interaction domain (ARID) containing BAF250a is a subunit of the BAF-A class of SWI/SNF chromatin remodeling complexes. The ARID belongs to a family of conserved DNA binding domains found in several eukaryotic proteins; however, its exact contribution to BAF250a function and the mechanism of its DNA binding are not well understood. Here we have probed the interaction of the BAF250a ARID with three different double-stranded DNA (dsDNA) sequences to understand its DNA binding properties. A comprehensive biophysical and thermodynamic study using nuclear magnetic resonance (NMR) spectroscopy and isothermal titration calorimetry revealed the complex nature of BAF250a ARID-DNA interactions. The thermodynamic signatures of the BAF250a ARID with 12 A-T bp dsDNA (AT-12) are distinct from those of 12 G-C bp dsDNA (GC-12) or 12 bp Dickerson dodecamer DNA (DD-12) sequences. We observed that the binding of the BAF250a ARID with AT-12 DNA is enthalpically driven in a tested temperature range of 5-25 °C. BAF250a ARID/AT-12 DNA interaction exhibited a larger negative calorimetric specific heat change (ΔCp) compared to that of BAF250a ARID/GC-12 DNA or BAF250a ARID/DD-12 DNA interactions. In the presence of salt (NaCl), ARID/AT-12 DNA binding was less perturbed than ARID/GC-12 DNA or ARID/DD-12 DNA binding. Overall, these results show that BAF250a ARID/AT-12 DNA interaction has signatures of "specific" binding. Furthermore, using NMR chemical shift perturbation experiments, we have identified DNA binding residues on the BAF250a ARID and generated a data-driven HADDOCK model of the ARID/DNA complex that was further supported by mutating key lysine residues that were found to be important for DNA binding.

Fecal carriage of extended-spectrum \u03b2-lactamase-producing Enterobacteriaceae in hospital and community settings in Chad

BackgroundFecal carriage of extended-spectrum β-lactamase-producing Enterobacteriaceae (ESBL-PE) remains poorly documented in Africa. The objective of this study was to determine the prevalence of ESBL-PE fecal carriage in Chad.MethodsIn total, 200 fresh stool samples were collected from 100 healthy community volunteers and 100 hospitalized patients from January to March 2017. After screening using ESBL-selective agar plates and species identification by MALDI-TOF mass spectrometry, antibiotic susceptibility was tested using the disk diffusion method, and ESBL production confirmed with the double-disc synergy test. The different ESBL genes in potential ESBL-producing isolates were detected by PCR and double stranded DNA sequencing. Escherichia coli phylogenetic groups were determined using a PCR-based method.ResultsESBL-PE fecal carriage prevalence was 44.5% (51% among hospitalized patients vs 38% among healthy volunteers; p < 0.05). ESBL-producing isolates were mostly Escherichia coli (64/89) and Klebsiella pneumoniae (16/89). PCR and sequencing showed that 98.8% (87/89) of ESBL-PE harbored blaCTX-M genes: blaCTX-M-15 in 94.25% (82/87) and blaCTX-M-14 in 5.75% (5/87). Phylogroup determination by quadruplex PCR indicated that ESBL-producing E. coli isolates belonged to group A (n = 17; 27%), C (n = 17; 27%), B2 (n = 9; 14%), B1 (n = 8; 13%), D (n = 8; 13%), E (n = 1; 1.6%), and F (n = 1; 1.6%). The ST131 clone was identified in 100% (9/9) of E. coli B2 strains.ConclusionsThe high fecal carriage rate of ESBL-PE associated with CTX-M-15 in hospital and community settings of Chad highlights the risk for resistance transmission between non-pathogenic and pathogenic bacteria.

A sensitive electrochemical strategy via multiple amplification reactions for the detection of E. coli O157: H7

The sensitive and efficient strategy remains a central challenge for early diagnosis of pathogenic bacteria. Herein, an ultrasensitive electrochemical biosensor was proposed based on the multiple amplification strategy via the 3D DNA walker, rolling circle amplification (RCA) and hybridization chain reaction (HCR) for the accurate detection of Escherichiacoli O157:H7 (E. coli O157:H7). Firstly, the target sequence extracted from E. coli O157:H7 was transformed and amplified by the DNA walker firstly. Subsequently, a large number of transformed nucleic acid sequences were amplified by the RCA reaction. And then, the progress of HCR was triggered by every fragment in RCA products to form a long double-stranded DNA sequence to immobilize electrochemical indicators, generating a significantly enhanced electrochemical signal. As expected, a high sensitivity with a detection limit of 7 CFU/mL was achieved based on the proposed multiple amplification strategy, which is superior to most current methods for E. coli O157: H7 assay. The multiple amplification strategy could be readily expanded for the detection of various pathogenic bacteria, providing a new approach for early diagnosis of pathogenic microorganisms or other diseases.

Control of Forward/Reverse Orientation Preference of Cyclic Pyrrole-Imidazole Polyamides.

Pyrrole-imidazole polyamides (PIPs) bind to predetermined double-stranded DNA sequences and selectively target a large variety of DNA sequences. Although the forward-binding (5'-3'/N-C) orientation, in which the N-terminus of PIPs faces the 5'-terminus of DNAs, is considered to be the main binding manner of PIPs, a reverse-binding (5'-3'/C-N) orientation, in which the C-terminus of PIPs faces the 3'-terminus of DNAs, sometimes causes unintended binding. Here, we synthesized optical or structural isomers of previously reported cyclic PIPs (cPIPs), which differ in the position of the amino groups in the γ-turn units, and we investigated their binding affinities both in the forward- and reverse-binding orientation. We show that cPIPs with (R)-α-amino-γ-turn units prefer the forward orientation as do hairpin PIPs. More importantly, we document for the first time the remarkable reverse-binding preference of cPIPs with (S)-α-amino-γ-turns. These results indicate that the orientation preference of cPIPs can be controlled by the position of the amino groups on the γ-turn units, which may markedly increase the number of DNA sequences that can be targeted by PIPs.

Electrochemical aptamer-based bioplatform for ultrasensitive detection of prostate specific antigen

A novel and disposable potentio-amperometric aptasensor for the prostate specific antigen (PSA) was constructed using functionalized graphene-modified carbon screen-printed electrodes as transducing surface. The PSA specific DNA aptamer was covalently tethered to the graphene through amide bond between the aptamer-terminated amine and the carboxylic acid-enriched graphene casted on the electrode surface. A further hybridization of a partially complementary DNA (cDNA) was followed by intercalation of methylene blue into the double-stranded DNA sequences. The detection approach was based on a competitive assay between the antigen and the cDNA. In fact, the detection relies on the PSA biorecognition by its aptamer, triggering the release of the loosely bound DNA strand and the intercalated dye molecules, which was monitored by differential pulse voltammetry. The aptasensor allowed selective and specific detection of PSA over a wide range of concentrations from 1 pg·mL−1 to 100 ng·mL−1 with a low detection limit of 0.064 pg·mL-1. This electroanalytical device also exhibited high reproducibility and storage stability, and was successfully validated in spiked human blood serum samples.

Regioselective DNA Modification and Directed Self-Assembly of Triangular Gold Nanoplates.

As a class of emerging nanoparticles, gold nanotriangles (AuNTs) are characterized by unique structural anisotropy and plasmonic properties. The organization of AuNTs into well-defined architecture potentially promises collective properties that are difficult to produce by individual AuNTs. To date, however, the orientation-controlled self-assembly of AuNTs has been achieved with limited success. Here, we describe an effective and straightforward approach to induce directed self-assembly of AuNTs. By taking advantage of the uneven chemical reactivity of AuNT surfaces, we implement regioselective modification of the edges and the top/bottom surfaces with two different double-stranded DNA (dsDNA) sequences. By means of terminal single base pairing/unpairing, controlled assembly of the dsDNA-modified AuNTs evolves in a face-to-face or edge-to-edge manner based on blunt-end stacking interaction on an intentional region of the AuNTs, along with entropic repulsion by unpaired terminal nucleobases on the other region. This approach could be useful for achieving directed self-assembly of other anisotropic nanoparticles.

Machine Learning Prediction of DNA Charge Transport

First-principles calculations of charge transfer in DNA molecules are computationally expensive given that conducting charge carriers interact with intra- and intermolecular atomic motion. Screening sequences, for example, to identify excellent electrical conductors, is challenging even when adopting coarse-grained models and effective computational schemes that do not explicitly describe atomic dynamics. We present a machine learning (ML) model that allows the inexpensive prediction of the electrical conductance of millions of long double-stranded DNA (dsDNA) sequences, reducing computational costs by orders of magnitude. The algorithm is trained on short DNA nanojunctions with n = 3-7 base pairs. The electrical conductance of the training set is computed with a quantum scattering method, which captures charge-nuclei scattering processes. We demonstrate that the ML method accurately predicts the electrical conductance of varied dsDNA junctions tracing different transport mechanisms: coherent (short-range) quantum tunneling, on-resonance (ballistic) transport, and incoherent site-to-site hopping. Furthermore, the ML approach supports physical observations that clusters of nucleotides regulate DNA transport behavior. The input features tested in this work could be used in other ML studies of charge transport in complex polymers in the search for promising electronic and thermoelectric materials.

Machine Learning Prediction of DNA Charge Transport.

First-principles calculations of charge transfer in DNA molecules are computationally expensive given that conducting charge carriers interact with intra- and intermolecular atomic motion. Screening sequences, for example, to identify excellent electrical conductors, is challenging even when adopting coarse-grained models and effective computational schemes that do not explicitly describe atomic dynamics. We present a machine learning (ML) model that allows the inexpensive prediction of the electrical conductance of millions of long double-stranded DNA (dsDNA) sequences, reducing computational costs by orders of magnitude. The algorithm is trained on short DNA nanojunctions with n = 3-7 base pairs. The electrical conductance of the training set is computed with a quantum scattering method, which captures charge-nuclei scattering processes. We demonstrate that the ML method accurately predicts the electrical conductance of varied dsDNA junctions tracing different transport mechanisms: coherent (short-range) quantum tunneling, on-resonance (ballistic) transport, and incoherent site-to-site hopping. Furthermore, the ML approach supports physical observations that clusters of nucleotides regulate DNA transport behavior. The input features tested in this work could be used in other ML studies of charge transport in complex polymers in the search for promising electronic and thermoelectric materials.

Static Watson-Crick regular grammar

DNA computing, or more generally, molecular computing, is a recent development at the interface of computer science and molecular biology. In DNA computing, many computational models have been proposed in the framework of formal language theory and automata such as Watson-Crick grammars and sticker systems. A Watson-Crick grammar is a grammar model that generates double stranded strings, whereas a sticker system is a DNA computing model of the ligation and annealing operations over DNA strands using the Watson-Crick complementarity to form a complete double stranded DNA sequence. Most of the proposed DNA computing models make use of this concept, including the Watson-Crick grammars and sticker systems. Watson-Crick grammars and their variants can be explored using formal language theory which allows the development of new concepts of Watson-Crick grammars. In this research, a new variant of Watson-Crick grammar called a static Watson-Crick regular grammar is introduced as an analytical counterpart of sticker systems. The computation of a sticker system starts from a given set of incomplete double stranded sequence to form a complete double stranded sequence. Here, a static Watson-Crick regular grammar differs from a dynamic Watson-Crick regular grammar in generating double stranded strings: the latter grammar produces each strand string “independently” and only check for the Watson-Crick complementarity of a generated complete double stranded string at the end, while the former grammar generates both strand strings “dependently”, i.e., checking for the Watson-Crick complementarity for each complete substring. In this paper, computational properties of static Watson-Crick regular grammars are investigated to correlate with the Chomsky hierarchy and hierarchy of the families of dynamic Watson-Crick regular languages. The relationship between families of languages generated by static Watson-Crick regular grammars with several variants of sticker systems, Watson-Crick regular grammars and Chomsky grammars are presented by showing the hierarchy.

Simple tricks of convolutional neural network architectures improve DNA–protein binding prediction

With the accumulation of DNA sequencing data, convolution neural network (CNN) based methods such as DeepBind and DeepSEA have achieved great success for predicting the function of primary DNA sequences. Previous studies confirm the importance of utilizing the reverse complement and flanking DNA sequences, which has a natural connection with data augmentation. However, it is not fully understood how these DNA sequences work during model training and testing. In this study, we proposed several CNN tricks to improve the DNA sequence related prediction tasks and took the DNA-protein binding prediction as an illustrative task for demonstration. Different from the DeepBind, we treated the reverse complement DNA sequence as another sample, which enables the CNN model to automatically learn the complex relationships between the double strand DNA sequences. This trick promotes the using of deeper CNN models, improving the prediction performance. Next, we augmented the training sets by extending the DNA sequences and cropping each one to three shorter sequences. This approach greatly improves the prediction due to more environmental information from extending step and strong regularization effect of the cropping step. Moreover, this practice fits well with wider CNN models, which also increases the prediction accuracy. On the basis of DNA sequence augmentation, we integrated the results of different effective CNN models to mine the prediction potential of primary DNA sequences. On 156 datasets of predicting DNA-protein binding, our final prediction significantly outperformed the state-of-the-art results with an average AUC increase of 0.057 (P-value = 6 × 10-62). Source codes are available at https://github.com/zhanglabtools/DNADataAugmentation. Supplementary data are available at Bioinformatics online.

DNA Local-Flexibility-Dependent Assembly of Phase-Separated Liquid Droplets

Phase separation of intracellular components has been recently realized as a mechanism by which cells achieve membraneless organization. Here, we study the associative liquid-liquid phase separation (LLPS) of DNA upon complexation with cationic polypeptides. Comparing the phase behavior of different single-stranded DNA as well as double-stranded DNA (dsDNA) sequences that differ in persistence lengths, we find that DNA local flexibility, not simply charge density, determines the LLPS. Furthermore, in a nucleotide- and DNA-dependent manner, free nucleotide triphosphates promote LLPS of polypeptide-dsDNA complexes that are otherwise prone to precipitation. Under these conditions, dsDNA undergoes a secondary phase separation forming liquid-crystalline subcompartments inside the droplets. These results point toward a role of local DNA flexibility, encoded in the sequence, in the regulation and selectivity of multicomponent LLPS in membraneless intracellular organization.

Hyperbranched rolling circle amplification (HRCA)-based fluorescence biosensor for ultrasensitive and specific detection of single-nucleotide polymorphism genotyping associated with the therapy of chronic hepatitis B virus infection

Detection of specific genes related to drug action can provide scientific guidance for personalized medicine. Taking the detection of a single-nucleotide polymorphism (SNP) genotyping related to the chronic hepatitis B virus (HBV) therapy as an example, a novel biosensor with high sensitivity and selectivity was developed based on the hyperbranched rolling circle amplification (HRCA) in this work. The single-base mutant DNA (mutDNA) sequence can perfectly hybridize with the specially designed discrimination padlock probe and initiate the HRCA reaction. Subsequently, a great abundant of double-strand DNA sequences were released and a strong fluorescence signal can be detected after adding SYBR Green I. In particular, the enhanced fluorescence intensity exhibits a linear relationship with the logarithm of mutDNA concentration ranging from 0.1 nM to 40 nM with a low detection limit of 0.05 nM. However, when there was even a single base mismatch in the target DNA, the HRCA was suppressed and fluorescence response process could not occur, resulting in a high selectivity of this biosensor. Moreover, this detection strategy also performs well in human serums, demonstrating its potential application in detecting SNPs in real biological samples.

A fluorometric lateral flow assay for visual detection of nucleic acids using a digital camera readout.

A fluorometric lateral flow assay has been developed for the detection of nucleic acids. The fluorophores phycoerythrin (PE) and fluorescein isothiocyanate (FITC) were used as labels, while a common digital camera and a colored vinyl-sheet, acting as a cut-off optical filter, are used for fluorescence imaging. After DNA amplification by polymerase chain reaction (PCR), the biotinylated PCR product is hybridized to its complementary probe that carries a poly(dA) tail at 3΄ edge and then applied to the lateral flow strip. The hybrids are captured to the test zone of the strip by immobilized poly(dT) sequences and detected by streptavidin-fluorescein and streptavidin-phycoerythrin conjugates, through streptavidin-biotin interaction. The assay is widely applicable, simple, cost-effective, and offers a large multiplexing potential. Its performance is comparable to assays based on the use of streptavidin-gold nanoparticles conjugates. As low as 7.8 fmol of a ssDNA and 12.5 fmol of an amplified dsDNA target were detectable. Graphical abstract Schematic presentation of a fluorometric lateral flow assay based on fluorescein and phycoerythrin fluorescent labels for the detection of single-stranded (ssDNA) and double-stranded DNA (dsDNA) sequences and using a digital camera readout. SA: streptavidin, BSA: Bovine Serum Albumin, B: biotin, FITC: fluorescein isothiocyanate, PE: phycoerythrin, TZ: test zone, CZ: control zone.

The complete chloroplast genome sequence of Epipremnum aureum and its comparative analysis among eight Araceae species.

Epipremnum aureum is an important foliage plant in the Araceae family. In this study, we have sequenced the complete chloroplast genome of E. aureum by using Illumina Hiseq sequencing platforms. This genome is a double-stranded circular DNA sequence of 164,831 bp that contains 35.8% GC. The two inverted repeats (IRa and IRb; 26,606 bp) are spaced by a small single-copy region (22,868 bp) and a large single-copy region (88,751 bp). The chloroplast genome has 131 (113 unique) functional genes, including 86 (79 unique) protein-coding genes, 37 (30 unique) tRNA genes, and eight (four unique) rRNA genes. Tandem repeats comprise the majority of the 43 long repetitive sequences. In addition, 111 simple sequence repeats are present, with mononucleotides being the most common type and di- and tetranucleotides being infrequent events. Positive selection pressure on rps12 in the E. aureum chloroplast has been demonstrated via synonymous and nonsynonymous substitution rates and selection pressure sites analyses. Ycf15 and infA are pseudogenes in this species. We constructed a Maximum Likelihood phylogenetic tree based on the complete chloroplast genomes of 38 species from 13 families. Those results strongly indicated that E. aureum is positioned as the sister of Colocasia esculenta within the Araceae family. This work may provide information for further study of the molecular phylogenetic relationships within Araceae, as well as molecular markers and breeding novel varieties by chloroplast genetic-transformation of E. aureum in particular.

Characterization of an Hsp90-Independent Interaction between Co-Chaperone p23 and Transcription Factor p53.

Cancer-suppressing transcription factor p53 is regulated by a wide variety of cellular factors, including many chaperones. The DNA-binding domain (DBD) of p53 is known to interact with the chaperone Hsp90, but the role of other members of the chaperone network, including co-chaperones such as p23, is unknown. Using a combination of nuclear magnetic resonance (NMR) titration, isothermal titration calorimetry, fluorescence anisotropy, and native agarose gel electrophoresis, we have identified a direct interaction between the p53 DBD and Hsp90 co-chaperone p23 that occurs in the absence of Hsp90. The affinity is relatively weak and largely determined by electrostatic interactions between the acidic C-terminal disordered tail of p23 and the two DNA-binding regions of the p53 DBD. We show by NMR and native agarose gel electrophoresis that a p53-specific double-stranded DNA sequence competes successfully with p23 for binding to the p53 DBD. The Hsp90 independence of the interaction between p23 and p53 DBD, together with the competition of p23 versus DNA for p53, raises the intriguing possibility that p23, like other small charged proteins, may affect p53 in hitherto unknown ways.