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Method Article

Quantifying Branching Density in Rat Mammary Gland Whole-mounts Using the Sholl Analysis Method

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DOI:

10.3791/55789

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July 12th, 2017

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In This Article

Summary

Mammary gland development in the rodent has typically been evaluated using descriptive assessments or by measuring basic physical attributes. Branching density is an indicator of mammary development that is difficult to quantify objectively. This protocol describes a reliable method for the quantitative assessment of mammary gland branching characteristics.

Abstract

An increasing number of studies are utilizing the rodent mammary gland as an endpoint for assessing the developmental toxicity of a chemical exposure. The effects these exposures have on mammary gland development are typically evaluated using either basic dimensional measurements or by scoring morphological characteristics. However, the broad range of methods for interpreting developmental changes could lead to inconsistent translations across laboratories. A common method of assessment is needed so that proper interpretations can be formed from data being compared across studies. The present study describes the application of the Sholl analysis method to quantify mammary gland branching characteristics. The Sholl method was originally developed for use in quantifying neuronal dendritic patterns. By using ImageJ, an open-source image analysis software package, and a plugin developed for this analysis, the mammary gland branching density and the complexity of a mammary gland from a peripubertal female rat were determined. The methods described here will enable the use of the Sholl analysis as an effective tool for quantifying an important characteristic of mammary gland development.

Introduction

Mammary gland branching is a characteristic that is commonly assessed as an indicator of gland development, but it is difficult to objectively quantify. In 1953, Sholl1 described a method for measuring neuronal dendritic arborization in the visual and motor cortices of the cat, and a plugin for this technique was developed by Ferriera et al2. Because both neurons and mammary glands exhibit a similar tree-like structure, the plugin was employed to quantify mammary epithelial branching densities in 2D images of the peripubertal rat mammary gland. The peripubertal stage was chosen for analysis because weaning is a ....

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Protocol

All animal use and procedures for this study were approved by the NIEHS Laboratory Animal Care and Use Committee and conducted in an Association for Assessment and Accreditation of Laboratory Animal Care-accredited facility.

1. Excise Mammary Glands

  1. Pre-label all slides using a xylene-proof method (pencil works best). Cover them with mounting solution at the end to preserve the label.
  2. Euthanize the animal by an Institutional Animal Care and Use Committee-approved method.
  3. After euthanasia, place the animal on its back on a dissecting board (Figure 1). Stretch and pin down all four....

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Results

The values for the measured enclosed radius, MEA, N, k, and calculated branching density for the mammary gland analyzed in this protocol are reported in Table 1. The Sholl analysis generates linear and semi-log plots of the number of intersections at each radius (Figure 9) and, if selected, a heat map of the intersections (Figure 10). Less-developed glands exhibit fewer intersections within the same MEA .......

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Discussion

From birth until puberty, mammary gland growth is allometric. After puberty, the mammary gland develops through extensive ductal branching and elongation, which continue until the mammary epithelium occupies the entire fat pad. Branching characteristics are an important aspect of mammary gland development, and the ability to objectively quantify these characteristics can be highly useful for assessing normal mammary development and for identifying abnormal development following early life exposures to mammary toxicants.<.......

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Disclosures

The authors have nothing to disclose.

Acknowledgements

The authors would like to acknowledge Dr. Michael Easterling (Social and Scientific Systems, Inc., Durham, NC) for his assistance with the validation of this method and Dr. Tiago Ferreira (McGill University, Montreal, Quebec, Canada) for his continual assistance with the Sholl application.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Dissecting boardNANAA piece of styrofoam roughly 10"x12" is suitable.
Dissecting T-PinsDaiggerEF7419A
Spray bottle with ethanolNANA70% ethanol is suitable.
Curved dissecting scissorsFine Science Tools14569-09
Straight dissecing scissorsFine Science Tools14568-09
Curved forcepsFine Science Tools11003-12
Superfrost Plus 24 x 75 x 1 mm microscope slidesThermoFisher Scientific4951PLUS-001Thermo Scientific Superfrost Plus & Colorfrost Plus slides hold tissue sections on permanently without the need for expensive coatings in IHC and Anatomical Pathology applications. This treatment reduces tissue loss during staining as well as hours of slide preparation. Slides electro-statically attract frozen tissue sections and cytology preparations and feature a chemistry similar to silane, although optimized to improve application performance.
https://www.thermofisher.com/order/catalog/product/4951PLUS4. 
Fisherfinest Premium Cover Glass 24 x 60 x 1 mmFisher scientific12-548-5P
Bemis Parafilm M Laboratory Wrapping FilmFisher scientific13-374-12
ChloroformSigma-AldrichC2432
Glacial acetic acidSigma-AldrichA9967
Ethanol absolute, ≥99.8% (GC) Sigma-Aldrich24102
XyleneSigma-Aldrich214736
Carmine alum Sigma-AldrichC1022
Aluminum potassium sulfate Sigma-AldrichA6435
Permount mounting mediaFisher ScientificSP15
MacroscopeLeicaZ16 APO This is the image capturing hardware and software used in this laboratory.  As there are many different options, the methods and applications may vary between laboratories.
Digital cameraLeicaDFC295
Camera softwareLeicaLeica Application Suite v3.1 
ImageJ softwareOpen sourcehttp://imagej.net/Welcome
Sholl analysis Open sourcehttp://imagej.net/Sholl_Analysis

References

  1. Sholl, D. A. Dendritic organization of the neurons in the visual and motor cortices of the cat. J Anat. 87 (4), 387-406 (1953).
  2. Ferreira, T. A., Iacono, L. L., Gross, C. T. Serotonin receptor 1A modulates actin dynamics and restricts dendri....

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