From the first high-resolution structure of a repressor bound specifically to its DNA recognition sequence it has been shown that the phage 434 repressor protein binds as a dimer to the helix. Tight, local interactions are made at the ends of the binding site, causing the central four base pairs (bp) to become bent and overtwisted. The centre of the operator is not in contact with protein but repressor binding affinity can be reduced at least 50-fold in response to a sequence change there. This observation might be explained should the structure of the intervening DNA segment vary with its sequence, or if DNA at the centre of the operator resists the torsional and bending deformation necessary for complex formation in a sequence dependent fashion. We have considered the second hypothesis by demonstrating that DNA stiffness is sequence dependent. A method is formulated for calculating the stiffness of any particular DNA sequence, and we show that this predicted relationship between sequence and stiffness can explain the repressor binding data in a quantitative manner. We propose that the elastic properties of DNA may be of general importance to an understanding of protein-DNA binding specificity.
Brownian dynamics is used to simulate the decay anisotropy of short linear DNA fragments modeled as a string of beads. The model is sufficiently general to allow for static bends, anisotropic bending, and elastic constants for bending and twisting which can vary along the chain. In limiting cases, simulations are found to be in excellent agreement with analytic theory down to a correlation length of at least 500 Å. This model is then used to analyze the 0–2.5 μs triplet depletion anisotropy decay of a 209 base pair sea urchin DNA fragment. It is concluded that the conventional worm-like chain model, in which bending is isotropic and/or there are no static bends along the chain, is unable to account for the experimental results unless a correlation length of 1000 Å is assumed. A worm-like chain with anisotropic bending requires a similar but slightly larger correlation length.
We have used triplet anisotropy decay techniques to study the flexibility of synthetic DNA fragments with different base pair compositions. We have found major differences in the torsional and bending stiffness of poly(dG) . poly(dC), poly(dA) . poly(dT) and poly(dA-dC) . poly(dT-dG). Poly(dG) . poly(dC) has a torsional modulus more than 40 times larger than poly(dA-dC) . poly(dT-dG), and approximately 20 times larger than poly(dA) . poly(dT). These differences imply that the torsional stiffness of DNA can vary greatly with base composition. The Young's modulus (bending stiffness) we have measured for poly(dG) . poly(dC) is at least twice that of poly(dA-dC) . poly(dT-dG) or random sequence DNA, and is at least threefold greater than that of poly(dA) . poly(dT). This implies that the bending stiffness of DNA is also strongly dependent on base composition. In light of this dramatic base composition dependence, we suggest here that such stiffness variation may lead to local variations in the stability of chromatin or other protein complexes that require bending or twisting of the DNA helix.
Background: A logical progression of the widely used microtiter plate ELISA is toward a protein array format that allows simultaneous detection of multiple analytes at multiple array addresses within a single well. Here we describe the construction and use of such a multiplex ELISA to measure prostate-specific antigen (PSA), α1-antichymotrypsin-bound PSA (PSA-ACT), and interleukin-6 (IL-6). Methods: We silanized glass plates and printed the appropriate capture antibodies to allow for the construction of “sandwich” ELISA quantification assays. We examined specificity of the assay for appropriate antigen, assembled calibration curves, and obtained PSA concentrations for 14 human serum samples. We compared the serum PSA concentrations derived through the use of our array with values obtained independently using a standard ELISA method. Results: R 2 values generated by our microarray for the PSA and PSA-ACT calibration curves were 0.989 and 0.979, respectively. Analyte concentrations used for the construction of these curves were 0.31–20 μg of protein/L of diluent. IL-6 calibration curve concentrations were 4.9–300 ng of IL-6/L of diluent. The R2 value for the IL-6 calibration curve was 0.983. The 14 human serum samples screened by this micro-ELISA technique for PSA concentrations generated a regression equation (linear) with a slope of 0.83 ± 0.10 and intercept of 0.74 ± 0.70 (R2 = 0.88). Conclusions: Multiplexed ELISA arrays are a feasible option for analyte quantification in complex biologic samples.
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