Evidence map›Paper›PMID 29225342›Full record

ArticleNature communications2017

Differentiation dynamics of mammary epithelial cells revealed by single-cell RNA sequencing.

Karsten Bach, Sara Pensa, Marta Grzelak, James Hadfield, David J Adams, John C Marioni, Walid T Khaled

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 219 papers.

0numbers the graph read from it
0cells of the map it votes in
219citing papers in PubMed
13.3field-weighted citation impact, top 1% 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

219 citing papers in PubMed, 379 citations in OpenAlex.

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159 more citing papers are in PubMed but not listed here.

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

7 authors at 3 institutions in 1 country.

Karsten BachDepartment of Pharmacology, University of Cambridge, Cambridge, CB2 1PD, UK.
Sara PensaDepartment of Pharmacology, University of Cambridge, Cambridge, CB2 1PD, UK.
Marta GrzelakCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, CB2 0RE, UK.
James HadfieldCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, CB2 0RE, UK.ORCID http://orcid.org/0000-0001-9868-4989
David J AdamsCancer Research UK Cambridge Cancer Centre, Cambridge, CB2 0RE, UK.
John C MarioniCancer Research UK Cambridge Institute, University of Cambridge, Cambridge, CB2 0RE, UK. marioni@ebi.ac.uk.
Walid T KhaledDepartment of Pharmacology, University of Cambridge, Cambridge, CB2 1PD, UK. wtk22@cam.ac.uk.
University of Cambridge · GBEuropean Bioinformatics Institute · GBWellcome Sanger Institute · GB

Funding

Cancer Research UK 17348Cancer Research UK 22231Cancer Research UK C47525/A17348
6 · The paper itself

Abstract

Characterising the hierarchy of mammary epithelial cells (MECs) and how they are regulated during adult development is important for understanding how breast cancer arises. Here we report the use of single-cell RNA sequencing to determine the gene expression profile of MECs across four developmental stages; nulliparous, mid gestation, lactation and post involution. Our analysis of 23,184 cells identifies 15 clusters, few of which could be fully characterised by a single marker gene. We argue instead that the epithelial cells-especially in the luminal compartment-should rather be conceptualised as being part of a continuous spectrum of differentiation. Furthermore, our data support the existence of a common luminal progenitor cell giving rise to intermediate, restricted alveolar and hormone-sensing progenitors. This luminal progenitor compartment undergoes transcriptional changes in response to a full pregnancy, lactation and involution. In summary, our results provide a global, unbiased view of adult mammary gland development.

Indexed as

TranscriptomeAnimalsCell DifferentiationCells, CulturedEpithelial CellsFemaleGene OntologyMammary Glands, AnimalMice, Inbred C57BLSequence Analysis, RNASingle-Cell AnalysisStem Cells

Identifiers

PMID29225342
PMCPMC5723634
OpenAlexW2773586544

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.