Evidence map›Paper›PMID 34395744›Full record

ArticleBio-protocol2018

Mouse Mammary Gland Whole Mount Preparation and Analysis.

Cornelia Tolg, Mary Cowman, Eva A Turley

Open access · greenAbstract read
In one paragraph

Article in Bio-protocol, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
0.2field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  10. Whole mount preparation and analysis of rabbit mammary gland.Reproductive toxicology (Elmsford, N.Y.) · 2024
    Article
  11. Article
  12. Cancer cell stiffening via CoQNature communications · 2024
    Article
  13. Article
  14. Article
  15. A long-acting prolactin to combat lactation insufficiency.bioRxiv : the preprint server for biology · 2023
    Article
  16. Article
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  19. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Cornelia TolgLondon Regional Cancer Program, London Health Sciences Centre, Victoria Hospital, London ON, Canada.
Mary CowmanDepartment of Chemical and Biomolecular Engineering, Biomatrix Research Center, Tandon School of Engineering, New York University, New York, NY, USA.
Eva A TurleyLondon Regional Cancer Program, London Health Sciences Centre, Victoria Hospital, London ON, Canada.
London Health Sciences Centre · CANew York University · USWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mammary gland undergoes extensive remodeling during pregnancy and is also subject to neoplastic processes both of which result in histological changes of the gland epithelial structure. Since the mammary tree is a complex three-dimensional structure a method is needed that provides an overview of the entire gland. Whole mounts provide this information, are inexpensive and do not require specialized equipment. This protocol describes mammary gland isolation, whole mount preparation and analysis. Mammary gland tissue, which is removed postmortem, is stained with Carmine Alum, a nuclear stain, allowing detection of epithelial structures embedded in the adipose tissue of the mammary fat pad. Stained mammary glands are imaged by light microscopy or embedded and sectioned for histological examination. Image analysis software such as Image J can be used to quantify extensity of branching complexity, epithelial structure remodeling or hyperplastic changes.

Indexed as

Branching morphogenesisMammary epithelial cellMammary glandMammary treeWhole mount

Identifiers

PMID34395744
PMCPMC8328583
OpenAlexW2866889209

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.