Evidence map›Paper›PMID 29666189›Full record

ArticleThe Journal of biological chemistry2018

Single-cell RNA-Seq reveals cell heterogeneity and hierarchy within mouse mammary epithelia.

Heng Sun, Zhengqiang Miao, Xin Zhang, Un In Chan, Sek Man Su, Sen Guo, Chris Koon Ho Wong, Xiaoling Xu, Chu-Xia Deng

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

34 citing papers in PubMed, 47 citations in OpenAlex.

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  17. Mammary gland development from a single cell 'omics view.Seminars in cell & developmental biology · 2021
    Review
  18. Review
  19. Mammary gland adipocytes in lactation cycle, obesity and breast cancer.Reviews in endocrine & metabolic disorders · 2021
    Review
  20. Article
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

9 authors at 1 institution in 4 countries.

Heng SunFrom the Cancer Center.
Zhengqiang MiaoGenomics and Bioinformatics Core, and.
Xin ZhangTransgenic and Knockout Core, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Un In ChanTransgenic and Knockout Core, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Sek Man SuTransgenic and Knockout Core, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Sen GuoFrom the Cancer Center.
Chris Koon Ho WongGenomics and Bioinformatics Core, and.
Xiaoling XuTransgenic and Knockout Core, Faculty of Health Sciences, University of Macau, Macau SAR, China.
Chu-Xia DengFrom the Cancer Center, cxdeng@umac.mo.ORCID 0000-0001-8033-3902
University of Macau · MO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mammary gland is very intricately and well organized into distinct tissues, including epithelia, endothelia, adipocytes, and stromal and immune cells. Many mammary gland diseases, such as breast cancer, arise from abnormalities in the mammary epithelium, which is mainly composed of two distinct lineages, the basal and luminal cells. Because of the limitation of traditional transcriptome analysis of bulk mammary cells, the hierarchy and heterogeneity of mammary cells within these two lineages remain unclear. To this end, using single-cell RNA-Seq coupled with FACS analysis and principal component analysis, we determined gene expression profiles of mammary epithelial cells of virgin and pregnant mice. These analyses revealed a much higher heterogeneity among the mammary cells than has been previously reported and enabled cell classification into distinct subgroups according to signature gene markers present in each group. We also identified and verified a rare CDH5

Indexed as

Cell LineageAnimalsBiomarkersCell DifferentiationCells, CulturedEpithelial CellsFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingMammary Glands, AnimalMiceSingle-Cell AnalysisStem CellsTranscriptomeBiomarkersbiomarkerbreast cancerCDH5+ cellcell differentiationdevelopmentmammary glandmammary stem cells (MaSCs)single cell RNA-seqstem cells

Identifiers

PMID29666189
PMCPMC5986215
OpenAlexW2800727099

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.