Evidence map›Paper›PMID 17994195›Full record

ArticleJournal of mammary gland biology and neoplasia2007

Genomewide analysis of secretory activation in mouse models.

Palaniappan Ramanathan, Ian Martin, Peter Thomson, Rosanne Taylor, Christopher Moran, Peter Williamson

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of mammary gland biology and neoplasia, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Three-dimensional cultures of mouse mammary epithelial cells.Methods in molecular biology (Clifton, N.J.) · 2013
    Article
  3. Article
  4. Article
  5. A novel approach identified the FOLR1 gene, a putative regulator of milk protein synthesis.Mammalian genome : official journal of the International Mammalian Genome Society · 2009
    Article
  6. 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

6 authors at 1 institution in 1 country.

Palaniappan RamanathanCentre for Advanced Technologies in Animal Genetics and Reproduction, Faculty of Veterinary Science, University of Sydney, Sydney, New South Wales 2006, Australia.
Ian Martin
Peter Thomson
Rosanne Taylor
Christopher Moran
Peter Williamson
University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mouse models have been widely used to elucidate the biology of mammary gland development and secretory activation. Recent advances in the availability of genomic resources for mice will generate a renewed effort to define the genetic basis of lactation phenotypes and help identify candidate gene pathways. Specific aspects of these advances are relevant to the dairy industry and may provide a rationale for improving milk production in the dairy cow. Differences are evident in mammary gland morphology and various characteristics of milk production of inbred mouse strains, but few studies have undertaken any systematic phenotypic analysis of the different inbred strains of mice for lactation performance. Whole genome association analysis using recent strain-specific genotype data and detailed phenotype measurements from available inbred strains, along with transcript profiling of divergent inbred strains for lactation performance, provides a valuable approach to identify putative candidate genes and associated pathways underlying dairy QTL intervals. Here we discuss the utility of integrating mouse phenomic and genomic resources for understanding secretory activation in the mammary gland.

Indexed as

Models, AnimalAnimalsBiological TransportDairy ProductsGenomeLactationMiceProteinsTranscription, GeneticProteins

Identifiers

PMID17994195
OpenAlexW2075833205

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.