Evidence map›Paper›PMID 25623114›Full record

ArticleBMC developmental biology2015

Transcriptome analysis of the hormone-sensing cells in mammary epithelial reveals dynamic changes in early pregnancy.

Duvini De Silva, Kamini Kunasegaran, Sujoy Ghosh, Alexandra M Pietersen

Open access · hybridAbstract read
In one paragraph

Article in BMC developmental biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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  5. The Use of "Omics" in Lactation Research in Dairy Cows.International journal of molecular sciences · 2017
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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 at 2 institutions in 1 country.

Duvini De SilvaLaboratory of Mammary Gland Biology, National Cancer Centre Singapore, 11 Hospital Dr, Singapore, 169610, Singapore. duvini85@gmail.com.
Kamini KunasegaranLaboratory of Mammary Gland Biology, National Cancer Centre Singapore, 11 Hospital Dr, Singapore, 169610, Singapore. kunasegaran.kamini@gmail.com.
Sujoy GhoshProgram in Cardiovascular & Metabolic Disorders, Duke-NUS Graduate Medical School, 8 College Rd, Singapore, 169857, Singapore. sujoy.ghosh@duke-nus.edu.sg.
Alexandra M PietersenLaboratory of Mammary Gland Biology, National Cancer Centre Singapore, 11 Hospital Dr, Singapore, 169610, Singapore. apietersen@gmail.com.
Duke-NUS Medical School · SGNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlveoli, the milk-producing units of the mammary gland, are generated during pregnancy by collaboration of different epithelial cell types. We present the first analysis of transcriptional changes within the hormone sensing population during pregnancy. Hormone-receptor positive (HR+) cells play a key role in the initiation of alveologenesis as they sense systemic hormonal changes and translate these into local instructions for neighboring HR- cells. We recently showed that IGF2 is produced specifically by HR+ cells in early pregnancy, but is undetectable in the virgin state. Here, we define the transcriptome of HR+ cells in early pregnancy with the aim to elucidate additional changes that are unique for this dynamic developmental time window.

resultsWe harvested mammary glands from virgin, 3-day and 7-day pregnant mice and isolated a few hundred hormone-sensing cells per animal by FACS for microarray analysis. There was a high concordance between animals with a clear induction of cell cycle progression genes at day 3 of pregnancy and molecules involved in paracrine signalling at day 7.

conclusionsThese findings underscore the proliferative capacity of HR+ cells upon specific stimuli and elucidate developmentally-restricted changes in cellular communication. Since the majority of breast cancers are HR+, with a variable proportion of HR+ cells per tumor, we anticipate that this data set will aid further studies into the regulation of HR+ cell proliferation and the role of heterotypic signalling within tumors.

Indexed as

TranscriptomeAnimalsBreast NeoplasmsCell ProliferationFemaleHormonesMammary Glands, AnimalMicePregnancyHormones

Identifiers

PMID25623114
PMCPMC4314744
OpenAlexW2113397872

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.