Evidence map›Paper›PMID 33810979›Full record

ReviewSeminars in cell & developmental biology2021

Mammary gland development from a single cell 'omics view.

Alecia-Jane Twigger, Walid T Khaled

Abstract readReview
In one paragraph

Review in Seminars in cell & developmental biology, 2021. 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
–field-weighted citation impact
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.

  1. Article
  2. Review
  3. [Application progress of single-cell RNA sequencing technology in breast development and related diseases].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Review
  4. Article
  5. Maternal milk cell components are uptaken by infant liver macrophages via extracellular vesicle mediated transport.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  6. Article
  7. Advancements in the Application of scRNA-Seq in Breast Research: A Review.International journal of molecular sciences · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. A Decision Tree to Guide Human and Mouse Mammary Organoid Model Selection.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Review
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

2 authors.

Alecia-Jane TwiggerDepartment of Pharmacology, University of Cambridge, Cambridge, UK; Wellcome-MRC Cambridge Stem Cell Institute, Cambridge, UK. Electronic address: ajt215@cam.ac.uk.
Walid T KhaledDepartment of Pharmacology, University of Cambridge, Cambridge, UK; Wellcome-MRC Cambridge Stem Cell Institute, Cambridge, UK. Electronic address: wtk22@cam.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/S006745/1Cancer Research UK C56829/A22053Medical Research Council MC_PC_17230Medical Research Council MR/S036059/1
6 · The paper itself

Abstract

Understanding the complexity and heterogeneity of mammary cell subpopulations is vital to delineate the mechanisms behind breast cancer development, progression and prevention. Increasingly sophisticated tools for investigating these cell subtypes has led to the development of a greater understanding of these cell subtypes, complex interplay of certain subtypes and their developmental potential. Of note, increasing accessibility and affordability of single cell technologies has led to a plethora of studies being published containing data from mammary cell subtypes and their differentiation potential in both mice and human data sets. Here, we review the different types of single cell technologies and how they have been used to improve our understanding of mammary gland development.

Indexed as

FemaleHumansMammary Glands, HumanSingle-Cell AnalysisBreast cancerMammary glandmass cytometryscATAC-seqscDNA-seqscRNA-seqSingle cell technologies

Identifiers

PMID33810979
PMCPMC8158430

What OpenQuestion holds

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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.