Open Access

Erratum to: Regulation of density of functional presynaptic terminals by local energy supply

Molecular Brain20158:45

https://doi.org/10.1186/s13041-015-0136-8

Received: 29 July 2015

Accepted: 29 July 2015

Published: 11 August 2015

The original article was published in Molecular Brain 2015 8:42

Erratum

After publication of this work [1], it was noticed some of the mathematical equations included on pages 16, 17 and 19 were incorrectly published.

From page 16 “By approximate numerical integration, we derived…” to page 17 “Specifically for Fig. 2b, each data point represented the…”, the correct text is as follows:

By approximate numerical integration, we derived:
$$ {\left[M{g}^{2+}\right]}_i\propto \frac{4}{\pi {\theta}^2d}\cdot \frac{{\displaystyle \sum_{z=-\frac{1}{2}n\rho}^{\frac{1}{2}n\rho }{\displaystyle \sum_{y=0}^{m\theta }{\displaystyle \sum_{x=0}^{l\theta }F\left(x,y,z\right)}}}}{ml}=\frac{4}{\pi {\theta}^2d}\cdot {\displaystyle \sum_{z=-\frac{1}{2}n\rho}^{\frac{1}{2}n\rho}\overline{F(z)}} $$

Where \( \overline{F(z)} \) was the mean fluorescence per pixel in the region of the branch in the image (whose coordinate was z) in z-stack (Additional file 1: Figure S1.B).

Since we observed that in the range of [−nρ/2, nρ/2], \( \overline{F(z)} \) exhibited well Gaussian distribution (Additional file 1: Figure S1.C), and the normalized distribution curve was the same among different branches (Additional file 1: Figure S1.C), then we knew Σ \( \overline{F(z)} \) was linearly proportional to \( \overline{F{(z)}_{\max }} \) according to the properties of Gaussian curve, thus:
$$ {\left[M{g}^{2+}\right]}_i\propto \frac{4}{\pi {\theta}^2d}\cdot \overline{F{(z)}_{max}} $$
And we could further simplify this formula as follows:
$$ {\left[M{g}^{2+}\right]}_i\propto \frac{\overline{F{(z)}_{max}}}{d} $$

Where \( \overline{F{(z)}_{\max }} \) was the mean intensity per pixel in the area of a branch in the compressed image of the stack (the compressed image was achieve by maximal z-projection of the stack, as described above).

From the formula, we knew that [Mg2+]i was approximately positively proportional to \( \overline{F{(z)}_{\max }} \) but negatively proportional to the diameter of branch, consistent with the experimental observations (Additional file 1: Figure S1.D and E).

In the experiments, given a randomly selected AOI of dendritic area (the image was obtained as described above), 50–100 branches were randomly selected from each AOI and the mean intensity of fluorescence (i.e. \( \overline{F{(z)}_{\max }} \)) of each branch was measured. Meanwhile, the diameter of each branch (d) was measured from the DIC image, then the \( \overline{F{(z)}_{\max }}/d \) was calculated to represent the [Mg2+]i in the branch. The mean value of these 50–100 branches was calculated to represent the level of [Mg2+]i in the AOI. For each coverslip, several AOIs were measured and the mean value of these AOIs was calculated to represent the average level of [Mg2+]i in the coverslip. For each data point, several coverslips were used. For each statistical data point, the mean ± SEM of all coverslips was presented. Specifically for Fig. 2b, each data point represented the [Mg2+]i (MgGrn fluo. a.u.) value in an individual branch.

On page 19, the correct Additional file 1: Figure S1 legend is as follows:

Additional file 1: Figure S1. Modeling the measurement of [Mg2+]i in a segment of branch by MgGrn fluorescence. (A) A segment of branch was modeled as a cylinder characterized by diameter (d) and length (L). (B) Z-stack of MgGrn fluorescent images was taken in the range of –h to h at z-axis. \( \overline{F(z)} \) represented the mean fluorescent intensity per pixel within a branch area from each layer in the z-stack (left). Theoretically, \( \overline{F(z)} \) should exhibited a Gaussian distribution along z-axis (right). (C) Normalized \( \overline{F(z)} \) values (normalized to maximum) from z-stacks of 5 representative branches (No.1-5) exhibited well Gaussian distributions with almost the same shape in parallel experiments (Gaussian curve fitting). (D) In the maximal z-projection of the stack, the mean intensity of individual branches \( \left(\overline{F{(z)}_{\max }}\right) \) showed a linear correlation with diameter (d). (E) After correction, the value \( \overline{F{(z)}_{\max }}/d \) was not correlated with diameter in different branches.

In addition to the incorrect equations, it was noted on page 20, reference 39 [2] was also presented incorrectly. The correct reference is included below and in the reference list:

Futai K, Kim MJ, Hashikawa T, Scheiffele P, Sheng M, Hayashi Y. Retrograde modulation of presynaptic release probability through signaling mediated by PSD-95-neuroligin. Nat Neurosci. 2007;10(2):186–95. doi: https://doi.org/10.1038/nn1837.

Notes

Declarations

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Basic Medical Sciences, School of Medicine, Tsinghua University

References

  1. Zhou H, Liu G. Regulation of density of functional presynaptic terminals by local energy supply. Molecular Brain. 2015;8:42. doi:https://doi.org/10.1186/s13041-015-0132-z. PubMed PMID: 26184109; PubMed Central PMCID: PMC4504454.PubMed CentralPubMedView ArticleGoogle Scholar
  2. Futai K, Kim MJ, Hashikawa T, Scheiffele P, Sheng M, Hayashi Y. Retrograde modulation of presynaptic release probability through signaling mediated by PSD-95-neuroligin. Nat Neurosci. 2007;10(2):186–95. doi:https://doi.org/10.1038/nn1837.PubMedView ArticleGoogle Scholar

Copyright

© Zhou and Liu. 2015

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