Evidence map›Paper›PMID 18039394›Full record

ArticleBMC systems biology2007

Gene regulatory networks in lactation: identification of global principles using bioinformatics.

Danielle G Lemay, Margaret C Neville, Michael C Rudolph, Katherine S Pollard, J Bruce German

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

66 citing papers in PubMed, 134 citations in OpenAlex.

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  9. Poor Outcome in Postpartum Breast Cancer Patients Is Associated with Distinct Molecular and Immunologic Features.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  10. Article
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  12. Fur removal promotes an earlier expression of involution-related genes in mammary gland of lactating mice.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2023
    Article
  13. Comparative expression analysis of water buffalo (Frontiers in veterinary science · 2023
    Article
  14. Article
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6 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

5 authors at 4 institutions in 2 countries.

Danielle G LemayDepartment of Food Science and Technology, University of California, One Shields Ave,, Davis, CA 95616, USA. dglemay@ucdavis.edu
Margaret C Neville
Michael C Rudolph
Katherine S Pollard
J Bruce German
University of Colorado Health · USNestlé (Switzerland) · CHUniversity of California, Davis · USUniversity of California System · US

Funding

Workshop on Environmental Technology Transfer and EntrepreneurshipP42ES004699 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI HAMMOCK, BRUCE D · 1987 to 2021
$50.1M
The functional role of microRNAs in the normal mammary glandP01HD038129 · NICHD · UNIVERSITY OF COLORADO DENVER · PI ANDERSON, STEVEN M · 2000 to 2015
$15.2M
UC Davis Center for Children's Environmental Health (CCEH)P01ES011269 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI VAN DE WATER, JUDY A. · 2001 to 2018
$12.5M
NICHD NIH HHS P01 HD038129NICHD NIH HHS P01-HD38129NIEHS NIH HHS P01 ES011269NIEHS NIH HHS P01 ES11269NIEHS NIH HHS P42 ES004699NIEHS NIH HHS P42 ES04699
6 · The paper itself

Abstract

backgroundThe molecular events underlying mammary development during pregnancy, lactation, and involution are incompletely understood.

resultsMammary gland microarray data, cellular localization data, protein-protein interactions, and literature-mined genes were integrated and analyzed using statistics, principal component analysis, gene ontology analysis, pathway analysis, and network analysis to identify global biological principles that govern molecular events during pregnancy, lactation, and involution.

conclusionSeveral key principles were derived: (1) nearly a third of the transcriptome fluctuates to build, run, and disassemble the lactation apparatus; (2) genes encoding the secretory machinery are transcribed prior to lactation; (3) the diversity of the endogenous portion of the milk proteome is derived from fewer than 100 transcripts; (4) while some genes are differentially transcribed near the onset of lactation, the lactation switch is primarily post-transcriptionally mediated; (5) the secretion of materials during lactation occurs not by up-regulation of novel genomic functions, but by widespread transcriptional suppression of functions such as protein degradation and cell-environment communication; (6) the involution switch is primarily transcriptionally mediated; and (7) during early involution, the transcriptional state is partially reverted to the pre-lactation state. A new hypothesis for secretory diminution is suggested - milk production gradually declines because the secretory machinery is not transcriptionally replenished. A comprehensive network of protein interactions during lactation is assembled and new regulatory gene targets are identified. Less than one fifth of the transcriptionally regulated nodes in this lactation network have been previously explored in the context of lactation. Implications for future research in mammary and cancer biology are discussed.

Indexed as

Models, BiologicalBreastComputational BiologyComputer SimulationFemaleGene Expression RegulationHumansLactationProteomeSignal TransductionProteome

Identifiers

PMID18039394
PMCPMC2225983
OpenAlexW2100739686

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.