Evidence map›Paper›PMID 22253986›Full record

ArticleNutrients2009

Comparison of milk fat globule membrane (MFGM) proteins of Chianina and Holstein cattle breed milk samples through proteomics methods.

Leonardo Murgiano, Anna Maria Timperio, Lello Zolla, Silvia Bongiorni, Alessio Valentini, Lorraine Pariset

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

11 citing papers in PubMed, 33 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Leonardo MurgianoDipartimento Produzioni Animali, Università degli Studi della Tuscia, Viterbo, 01100, Italy. lmurgiano@gmail.com
Anna Maria Timperio
Lello Zolla
Silvia Bongiorni
Alessio Valentini
Lorraine Pariset
Università degli Studi della Tuscia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of proteins involved in milk production is important to understand the biology of lactation. Many studies have advanced the understanding of mammary function and milk secretion, but the critical molecular mechanisms implicated in milk fat secretion is still incomplete. Milk fat globules are secreted from the apical surface of the mammary cells, surrounded by a thin membrane bilayer, the milk fat globule membrane (MFGM), formed by proteins which have been suggested to be cholesterolemia-lowering factors, inhibitors of cancer cell growth, vitamin binders, bactericidal, suppressors of multiple sclerosis. Using a proteomic approach, we compared MFGM from milk samples of individuals belonging to two different cattle breeds, Chianina and Holstein, representative of selection for milk and meat traits, respectively. We were able to isolate some of the major MFGM proteins in the examined samples and to identify differences between the protein fractions of the two breeds. We detected differences in the amount of proteins linked to mammary gland development and lipid droplets formation, as well as host defence mechanisms. We have shown that proteomics is a suitable, unbiased method for the study of milk fractions proteins and a powerful tool in nutritional genomics.

Indexed as

ProteomicsAnimalsCattleFemaleGene Expression ProfilingGene Expression RegulationGlycolipidsGlycoproteinsLactationLipid DropletsMembrane ProteinsGlycolipidsGlycoproteinsMembrane Proteinsmilk fat globulecattlelactationMFGMmilk proteomicsMS/MS

Identifiers

PMID22253986
PMCPMC3257596
OpenAlexW2095233137

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.