Evidence map›Paper›PMID 26909879›Full record

ArticleFunctional & integrative genomics2016

Analysis of human breast milk cells: gene expression profiles during pregnancy, lactation, involution, and mastitic infection.

Julie A Sharp, Christophe Lefèvre, Ashalyn Watt, Kevin R Nicholas

Abstract read
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In one paragraph

Article in Functional & integrative genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

25 citing papers in PubMed, 48 citations in OpenAlex.

  1. Review
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  10. Lactation in the human.Animal frontiers : the review magazine of animal agriculture · 2023
    Article
  11. Article
  12. Article
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  14. Cellular and transcriptional diversity over the course of human lactation.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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  17. Review
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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 3 institutions in 1 country.

Julie A SharpInstitute for Frontier Materials, Deakin University, Geelong, VIC, 3216, Australia. julie.sharp@deakin.edu.au.
Christophe LefèvreDivision of Bioinformatics, Walter and Eliza Hall Medical Research Institute, Melbourne, 3000, Australia.
Ashalyn WattInstitute for Frontier Materials, Deakin University, Geelong, VIC, 3216, Australia.
Kevin R NicholasDepartment of Anatomy and Developmental Biology, Monash University, Clayton, VIC, 3800, Australia.
Deakin University · AUMonash University · AUWalter and Eliza Hall Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The molecular processes underlying human milk production and the effects of mastitic infection are largely unknown because of limitations in obtaining tissue samples. Determination of gene expression in normal lactating women would be a significant step toward understanding why some women display poor lactation outcomes. Here, we demonstrate the utility of RNA obtained directly from human milk cells to detect mammary epithelial cell (MEC)-specific gene expression. Milk cell RNA was collected from five time points (24 h prepartum during the colostrum period, midlactation, two involutions, and during a bout of mastitis) in addition to an involution series comprising three time points. Gene expression profiles were determined by use of human Affymetrix arrays. Milk cells collected during milk production showed that the most highly expressed genes were involved in milk synthesis (e.g., CEL, OLAH, FOLR1, BTN1A1, and ARG2), while milk cells collected during involution showed a significant downregulation of milk synthesis genes and activation of involution associated genes (e.g., STAT3, NF-kB, IRF5, and IRF7). Milk cells collected during mastitic infection revealed regulation of a unique set of genes specific to this disease state, while maintaining regulation of milk synthesis genes. Use of conventional epithelial cell markers was used to determine the population of MECs within each sample. This paper is the first to describe the milk cell transcriptome across the human lactation cycle and during mastitic infection, providing valuable insight into gene expression of the human mammary gland.

Indexed as

AnimalsApoptosisEpithelial CellsFemaleGene Expression RegulationHumansLactationMastitisMilk, HumanMilk ProteinsPregnancyRNASignal TransductionTranscriptomeMilk ProteinsRNAHumanLactationMammary glandMastitisMilkTranscriptome

Identifiers

PMID26909879
OpenAlexW2283848729

What OpenQuestion holds

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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.