Evidence map›Paper›PMID 26080807›Full record

ArticleBreast cancer research : BCR2015

Integration of microRNA signatures of distinct mammary epithelial cell types with their gene expression and epigenetic portraits.

Bhupinder Pal, Yunshun Chen, Andrew Bert, Yifang Hu, Julie M Sheridan, Tamara Beck, Wei Shi, Keith Satterley, Paul Jamieson, Gregory J Goodall and 3 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. miR-203 drives breast cancer cell differentiation.Breast cancer research : BCR · 2023
    Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. MicroRNAs as biomarkers for liver injury: Current knowledge, challenges and future prospects.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2017
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

13 authors at 5 institutions in 1 country.

Bhupinder PalACRF Stem Cells and Cancer Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia. pal@wehi.edu.au.
Yunshun ChenDepartment of Medical Biology, The University of Melbourne, Parkville, VIC, 3010, Australia. yuchen@wehi.edu.au.
Andrew BertCentre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, SA, 5000, Australia. andrew.bert@health.sa.gov.au.
Yifang HuBioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia. hu@wehi.edu.au.
Julie M SheridanACRF Stem Cells and Cancer Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia. sheridan@wehi.edu.au.
Tamara BeckACRF Stem Cells and Cancer Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia. mclennan@wehi.edu.au.
Wei ShiBioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia. shi@wehi.edu.au.
Keith SatterleyBioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia. keith@wehi.edu.au.
Paul JamiesonACRF Stem Cells and Cancer Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia. jamieson.p@wehi.eu.au.
Gregory J GoodallCentre for Cancer Biology, SA Pathology and University of South Australia, Adelaide, SA, 5000, Australia. Greg.Goodall@health.sa.gov.au.
Geoffrey J LindemanACRF Stem Cells and Cancer Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia. lindeman@wehi.edu.au.
Gordon K SmythBioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia. smyth@wehi.edu.au.
Jane E VisvaderACRF Stem Cells and Cancer Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, 3052, Australia. visvader@wehi.edu.au.
University of Melbourne · AUWalter and Eliza Hall Institute of Medical Research · AUCentre for Cancer Biology · AUSouth Australia Pathology · AUThe Royal Melbourne Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMicroRNAs (miRNAs) have been implicated in governing lineage specification and differentiation in multiple organs; however, little is known about their specific roles in mammopoiesis. We have determined the global miRNA expression profiles of functionally distinct epithelial subpopulations in mouse and human mammary tissue, and compared these to their cognate transcriptomes and epigenomes. Finally, the human miRNA signatures were used to interrogate the different subtypes of breast cancer, with a view to determining miRNA networks deregulated during oncogenesis.

methodsRNA from sorted mouse and human mammary cell subpopulations was subjected to miRNA expression analysis using the TaqMan MicroRNA Array. Differentially expressed (DE) miRNAs were correlated with gene expression and histone methylation profiles. Analysis of miRNA signatures of the intrinsic subtypes of breast cancer in The Cancer Genome Atlas (TCGA) database versus those of normal human epithelial subpopulations was performed.

resultsUnique miRNA signatures characterized each subset (mammary stem cell (MaSC)/basal, luminal progenitor, mature luminal, stromal), with a high degree of conservation across species. Comparison of miRNA and transcriptome profiles for the epithelial subtypes revealed an inverse relationship and pinpointed key developmental genes. Interestingly, expression of the primate-specific miRNA cluster (19q13.4) was found to be restricted to the MaSC/basal subset. Comparative analysis of miRNA signatures with H3 lysine modification maps of the different epithelial subsets revealed a tight correlation between active or repressive marks for the top DE miRNAs, including derepression of miRNAs in Ezh2-deficient cellular subsets. Interrogation of TCGA-identified miRNA profiles with the miRNA signatures of different human subsets revealed specific relationships.

conclusionsThe derivation of global miRNA expression profiles for the different mammary subpopulations provides a comprehensive resource for understanding the interplay between miRNA networks and target gene expression. These data have highlighted lineage-specific miRNAs and potential miRNA-mRNA networks, some of which are disrupted in neoplasia. Furthermore, our findings suggest that key developmental miRNAs are regulated by global changes in histone modification, thus linking the mammary epigenome with genome-wide changes in the expression of genes and miRNAs. Comparative miRNA signature analyses between normal breast epithelial cells and breast tumors confirmed an important linkage between luminal progenitor cells and basal-like tumors.

Indexed as

Epigenesis, GeneticGene Expression RegulationTranscriptomeAnimalsBreastBreast NeoplasmsCell LineageCluster AnalysisEpithelial CellsFemaleGene Expression ProfilingGenetic LociHumansMammary Glands, AnimalMiceMicroRNAsMicroRNAsRNA, Messenger

Identifiers

PMID26080807
PMCPMC4497411
OpenAlexW1863095939

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.