Activation of p53-mediated transcription is a critical cellular response to DNA damage. p53 stability and site-specific DNA-binding activity and, therefore, transcriptional activity, are modulated by post-translational modifications including phosphorylation and acetylation. Here we show that p53 is acetylated in vitro at separate sites by two different histone acetyltransferases (HATs), the coactivators p300 and PCAF. p300 acetylates Lys-382 in the carboxy-terminal region of p53, whereas PCAF acetylates Lys-320 in the nuclear localization signal. Acetylations at either site enhance sequence-specific DNA binding. Using a polyclonal antisera specific for p53 that is phosphorylated or acetylated at specific residues, we show that Lys-382 of human p53 becomes acetylated and Ser-33 and Ser-37 become phosphorylated in vivo after exposing cells to UV light or ionizing radiation. In vitro, amino-terminal p53 peptides phosphorylated at Ser-33 and/or at Ser-37 differentially inhibited p53 acetylation by each HAT. These results suggest that DNA damage enhances p53 activity as a transcription factor in part through carboxy-terminal acetylation that, in turn, is directed by amino-terminal phosphorylation.

Results from a high-resolution deoxyribonuclease I (DNase I) footprinting titration procedure are described that identify preferred daunomycin binding sites within the 160 bp tyr T DNA fragment. We have obtained single-bond resolution at 65 of the 160 potential binding sites within the tyr T fragment and have examined the effect of 0-3.0 microM total daunomycin concentration on the susceptibility of these sites toward digestion by DNase I. Four types of behavior are observed: (i) protection from DNase I cleavage; (ii) protection, but only after reaching a critical total daunomycin concentration; (iii) enhanced cleavage; (iv) no effect of added drug. Ten sites were identified as the most strongly protected on the basis of the magnitude of the reduction of their digestion product band areas in the presence of daunomycin. These were identified as the preferred daunomycin binding sites. Seven of these 10 sites are found at the end of the triplet sequences 5'ATGC and 5'ATCG, where the notation AT indicates that either A or T may occupy the position. The remaining three strongly protected sites are found at the ends of the triplet sequence 5'ATCAT. Of the preferred daunomycin binding sites we identify in this study, the sequence 5'ATCG is consistent with the specificity predicted by the theoretical studies of Chen et al. [Chen, K.-X., Gresh, N., & Pullman, B. (1985) J. Biomol. Struct. Dyn. 3, 445-466] and is the very sequence to which daunomycin is observed to be bound in two recent X-ray crystallographic studies. Solution studies, theoretical studies, and crystallographic studies have thus converged to provide a consistent and coherent picture of the sequence preference of this important anticancer antibiotic.

The site and sequence specificity of the daunomycin-DNA interaction was examined by equilibrium binding methods, by deoxyribonuclease I footprinting studies, and by examination of the effect of the antibiotic on the cleavage of linearized pBR322 DNA by restriction endonucleases PvuI and EcoRI. These three experimental approaches provide mutually consistent results showing that daunomycin indeed recognizes specific sites along the DNA lattice. The affinity of daunomycin toward natural DNA increases with increasing GC content. The quantitative results are most readily explained by binding models in which daunomycin interacts with sites containing two adjacent GC base pairs, possibly occurring as part of a triplet recognition sequence. Deoxyribonuclease I footprinting studies utilizing the 160 base pair (bp) tyrT DNA fragment and 61 and 53 bp restriction fragments isolated from pBR322 DNA further define the sequence specificity of daunomycin binding. Specific, reproducible protection patterns were obtained for each DNA fragment at 4 degrees C. Seven protected sequences, ranging in size from 4 to 14 bp, were identified within the tyrT fragment. Relative to the overall tyrT sequence, these protected sequences were GC rich and contained a more limited and distinct distribution of di- and trinucleotides. Within all of the protected sequences, a triplet containing adjacent GC base pairs flanked by an AT base pair could be found in one or more copies. Nowhere in the tyrT fragment did that triplet occur outside a protected sequence. The same triplet occurred within seven out of nine protected sequences observed in the fragments isolated from pBR322 DNA. In the two remaining cases, three contiguous GC base pairs were found. We conclude that the preferred daunomycin triplet binding site contains adjacent GC base pairs, of variable sequence, flanked by an AT base pair. This conclusion is consistent with the results of a recent theoretical study of daunomycin sequence specificity [Chen, K.-X., Gresh, N., & Pullman, B. (1985) J. Biomol. Struct. Dyn. 3, 445-466]. Adriamycin and the beta-anomer of adriamycin produce the same qualitative pattern of protection as daunomycin with the tyrT fragment. Daunomycin inhibits the rate of digestion of pBR322 DNA by PvuI (recognition sequence 5'-CGATCG-3') to a greater extent than it does EcoRI (recognition sequence 5'-GAATTC-3'), a finding consistent with the conclusions derived from our footprinting studies. Our results, as a whole, are the clearest indication to date that daunomycin recognizes a specific DNA sequence as a preferred binding site.

Circular dichroism and UV absorbance spectroscopy were used to monitor and characterize a premelting conformational transition of poly(dA)-poly(dT) from one helical form to another. The transition was found to be broad, with a midpoint of tm = 29.9 degrees C and delta HVH = +19.9 kcal mol-1. The transition renders poly(dA)-poly(dT) more susceptible to digestion by DNase I and facilitates binding of the intercalator daunomycin. Dimethyl sulfoxide was found to perturb poly(dA)-poly(dT) structure in a manner similar to temperature. These combined results suggest that disruption of bound water might be linked to the observed transition. A thermodynamic analysis of daunomycin binding to poly(dA)-poly(dT) shows that antibiotic binding is coupled to the polynucleotide conformational transition. Daunomycin binding renders poly(dA)-poly(dT) more susceptible to DNase I digestion at low binding ratios, in contrast to the normal behavior of intercalators, indicating that antibiotic binding alters the conformation of the polynucleotide. The unusual thermodynamic profiles previously observed for the binding of many antibiotics to poly(dA)-poly(dT) can be explained by our results as arising from the coupling of ligand binding to the polynucleotide conformational transition. Our data further suggest a physical basis for the temperature dependence of DNA bending.

Novel proteomics platforms, such as the aptamer‐based SOMAscan platform, can quantify large numbers of proteins efficiently and cost‐effectively and are rapidly growing in popularity. However, comparisons to conventional immunoassays remain underexplored, leaving investigators unsure when cross‐assay comparisons are appropriate. The correlation of results from immunoassays with relative protein quantification is explored by SOMAscan. For 63 proteins assessed in two chronic obstructive pulmonary disease (COPD) cohorts, subpopulations and intermediate outcome measures in COPD Study (SPIROMICS), and COPDGene, using myriad rules based medicine multiplex immunoassays and SOMAscan, Spearman correlation coefficients range from −0.13 to 0.97, with a median correlation coefficient of ≈0.5 and consistent results across cohorts. A similar range is observed for immunoassays in the population‐based Multi‐Ethnic Study of Atherosclerosis and for other assays in COPDGene and SPIROMICS. Comparisons of relative quantification from the antibody‐based Olink platform and SOMAscan in a small cohort of myocardial infarction patients also show a wide correlation range. Finally, cis pQTL data, mass spectrometry aptamer confirmation, and other publicly available data are integrated to assess relationships with observed correlations. Correlation between proteomics assays shows a wide range and should be carefully considered when comparing and meta‐analyzing proteomics data across assays and studies.