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. 2020 Nov 27;48(22):12917–12928. doi: 10.1093/nar/gkaa1128

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© The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Figure 5. — Experimental quantification of dsRNA bending induced by AU-tracts. Mean squared end-to-end distance (A) and mean cosine of the tangents (B) plotted as a function of the contour distance between two points. The blue solid line is a fit of the control data to the WLC equations (Equation (1) for panel A, and Equation (2) for panel B), which yielded 66 ± 1 nm and 62 ± 1 nm for the and data, respectively. To guide the eye, theoretical WLC curves are included with persistence lengths of 30, 40 and 50 nm (bottom-up in both panels). Histograms of curvature distributions for fixed contour lengths of 15 nm (C) and 25 nm (D), showing the relative frequency of different curvature values. The distributions were fitted to Gaussian functions (solid lines). The standard deviation parameters obtained from these Gaussian fits are presented in Table 2.

Inline graphic — Experimental quantification of dsRNA bending induced by AU-tracts. Mean squared end-to-end distance (A) and mean cosine of the tangents (B) plotted as a function of the contour distance between two points. The blue solid line is a fit of the control data to the WLC equations (Equation (1) for panel A, and Equation (2) for panel B), which yielded 66 ± 1 nm and 62 ± 1 nm for the and data, respectively. To guide the eye, theoretical WLC curves are included with persistence lengths of 30, 40 and 50 nm (bottom-up in both panels). Histograms of curvature distributions for fixed contour lengths of 15 nm (C) and 25 nm (D), showing the relative frequency of different curvature values. The distributions were fitted to Gaussian functions (solid lines). The standard deviation parameters obtained from these Gaussian fits are presented in Table 2.