Evidence map›Paper›PMID 39821020›Full record

ReviewAdvances in experimental medicine and biology2025

Single-Cell Analysis in the Mouse and Human Mammary Gland.

Catriona Corbishley, Patrick Rainford, Austin Reed, Walid Khaled

Abstract readReview
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In one paragraph

Review in Advances in experimental medicine and biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Catriona CorbishleyDepartment of Pharmacology, University of Cambridge, Cambridge, UK.
Patrick RainfordDepartment of Pharmacology, University of Cambridge, Cambridge, UK.
Austin ReedDepartment of Pharmacology, University of Cambridge, Cambridge, UK.
Walid KhaledDepartment of Pharmacology, University of Cambridge, Cambridge, UK. wtk22@cam.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mammary gland is a complex organ, host to a rich array of different cell types. As the only organ to complete its development in adulthood, it delicately balances both cell intrinsic and external signalling from hormones, growth factors and other stimulants. The gland can undergo vast proliferation, restructuring and functional maturation during pregnancy and undo these gross changes to a nearly identical resting state during involution. The adaptive nature of the mammary gland underpins its function but also increases its susceptibility to cancer. While already characterised at a macro scale, understanding the complexities of mammary gland morphogenesis, development and tumorigenesis requires interrogation of cellular and molecular mechanisms. As outlined below, single-cell analysis is a key approach for this, allowing us to unbiasedly explore and characterise the functions and properties of individual cells from the genome to the proteome. Here, we introduce key single-cell analysis methods and give brief introductions to their respective workflows. We then discuss the structure, cell types and development of the mammary gland from birth, puberty and through pregnancy, as well as cancer formation. Additionally, we highlight the benefits and caveats of implementing single-cell methodologies and mouse models for studying critical time points of human development and disease. Finally, we highlight some limitations and future directions of single-cell techniques. This chapter provides a starting point for users hoping to further their understanding of mammary gland development and its link to cancer as explained by single-cell analysis studies.

Indexed as

Mammary Glands, AnimalMammary Glands, HumanSingle-Cell AnalysisAnimalsBreast NeoplasmsFemaleHumansMicePregnancyBreast cancerCell lineage and hierarchyDevelopmentMammary glandMouse modelsSingle-cell analysisTechniques

Identifiers

What OpenQuestion holds

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Registered trials

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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.