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Imaging the mammary gland and mammary tumours in 3D: optical tissue clearing and immunofluorescence methods

Overview of attention for article published in Breast Cancer Research, December 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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9 X users
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3 Wikipedia pages

Citations

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83 Dimensions

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159 Mendeley
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Title
Imaging the mammary gland and mammary tumours in 3D: optical tissue clearing and immunofluorescence methods
Published in
Breast Cancer Research, December 2016
DOI 10.1186/s13058-016-0754-9
Pubmed ID
Authors

Bethan Lloyd-Lewis, Felicity M. Davis, Olivia B. Harris, Jessica R. Hitchcock, Filipe C. Lourenco, Mathias Pasche, Christine J. Watson

Abstract

High-resolution 3D imaging of intact tissue facilitates cellular and subcellular analyses of complex structures within their native environment. However, difficulties associated with immunolabelling and imaging fluorescent proteins deep within whole organs have restricted their applications to thin sections or processed tissue preparations, precluding comprehensive and rapid 3D visualisation. Several tissue clearing methods have been established to circumvent issues associated with depth of imaging in opaque specimens. The application of these techniques to study the elaborate architecture of the mouse mammary gland has yet to be investigated. Multiple tissue clearing methods were applied to intact virgin and lactating mammary glands, namely 3D imaging of solvent-cleared organs, see deep brain (seeDB), clear unobstructed brain imaging cocktails (CUBIC) and passive clarity technique. Using confocal, two-photon and light sheet microscopy, their compatibility with whole-mount immunofluorescent labelling and 3D imaging of mammary tissue was examined. In addition, their suitability for the analysis of mouse mammary tumours was also assessed. Varying degrees of optical transparency, tissue preservation and fluorescent signal conservation were observed between the different clearing methods. SeeDB and CUBIC protocols were considered superior for volumetric fluorescence imaging and whole-mount histochemical staining, respectively. Techniques were compatible with 3D imaging on a variety of platforms, enabling visualisation of mammary ductal and lobulo-alveolar structures at vastly improved depths in cleared tissue. The utility of whole-organ tissue clearing protocols was assessed in the mouse mammary gland. Most methods utilised affordable and widely available reagents, and were compatible with standard confocal microscopy. These techniques enable high-resolution, 3D imaging and phenotyping of mammary cells and tumours in situ, and will significantly enhance our understanding of both normal and pathological mammary gland development.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 159 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Unknown 158 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 21%
Researcher 31 19%
Student > Master 16 10%
Student > Bachelor 11 7%
Professor > Associate Professor 6 4%
Other 23 14%
Unknown 39 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 19%
Agricultural and Biological Sciences 26 16%
Medicine and Dentistry 18 11%
Engineering 8 5%
Neuroscience 8 5%
Other 26 16%
Unknown 42 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 September 2018.
All research outputs
#3,586,521
of 25,377,790 outputs
Outputs from Breast Cancer Research
#416
of 2,054 outputs
Outputs of similar age
#66,508
of 420,689 outputs
Outputs of similar age from Breast Cancer Research
#4
of 25 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,054 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has done well, scoring higher than 79% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 420,689 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.