Summary of Study ST003855

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR002412. The data can be accessed directly via it's Project DOI: 10.21228/M8VK0H This work is supported by NIH grant, U2C- DK119886.

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This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

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Study IDST003855
Study TitleMammary gland metabolism and its relevance to the fetoplacental expression of cytokine signaling in Caveolin-1 null mice
Study SummaryMice lacking Caveolin-1 (Cav1), a major protein of the lipid raft of plasma membrane, show dysregulated cellular proliferation of mammary gland and an abnormal fetoplacental communication during pregnancy. The aim of this study is to better understand the functional links of mammary gland metabolism with gene expression of the placenta and fetus. Untargeted metabolomics analysis was performed to examine changes in mammary gland metabolism due to the absence of Cav1. The metabolomics analysis detected a total of 141 metabolites. We identified 81 metabolites that showed differential rank order in the level of expression in the mammary glands of Cav1-null compared to control mice. Differential metabolomics analysis identified 11 metabolites that were significantly changed in the mammary gland due to the absence of Cav1. Integrative metabolomics and transcriptomics analyses were applied to untangle functional links of metabolic pathways of the mammary gland with the gene expression changes of the placenta and fetus. The findings of this study show that metabolism and gene expression of the mammary gland are significantly impacted due to the loss of Cav1. Genes associated with specific metabolic and signaling pathways show coordinated expression changed in the placenta, mammary gland and fetal brain in Cav1-null mice. The cytokine signaling pathway emerges as a key player of the molecular crosstalk among the mammary gland, placenta and fetal brain. By interrogating the single-nuclei gene expression data of placenta and fetal brain previously generated from Cav1-null mice, the study further reveals that these metabolic and signaling genes are differentially regulated in specific cell types of the placenta and fetal brain. The findings of this study expand our understanding about the role of mammary gland metabolism in the regulation of fetoplacental communication in mammalian pregnancy.
Institute
Universiy of Missouri, Columbia
Last NameBehura
First NameSusanta
Address920 East Campus, Columbia, Missouri, 65211, USA
Emailbehuras@missouri.edu
Phone573-882-1722
Submit Date2025-03-27
Num Groups2
Total Subjects6
Raw Data AvailableYes
Raw Data File Type(s)cdf
Analysis Type DetailGC-MS
Release Date2025-04-11
Release Version1
Susanta Behura Susanta Behura
https://dx.doi.org/10.21228/M8VK0H
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

Select appropriate tab below to view additional metadata details:


Project:

Project ID:PR002412
Project DOI:doi: 10.21228/M8VK0H
Project Title:Mammary gland metabolism and its relevance to the fetoplacental expression of cytokine signaling in Caveolin-1 null mice
Project Summary:Mice lacking Caveolin-1 (Cav1), a major protein of the lipid raft of plasma membrane, show dysregulated cellular proliferation of mammary gland and an abnormal fetoplacental communication during pregnancy. The aim of this study is to better understand the functional links of mammary gland metabolism with gene expression of the placenta and fetus. Untargeted metabolomics analysis was performed to examine changes in mammary gland metabolism due to the absence of Cav1. The metabolomics analysis detected a total of 141 metabolites. We identified 81 metabolites that showed differential rank order in the level of expression in the mammary glands of Cav1-null compared to control mice. Differential metabolomics analysis identified 11 metabolites that were significantly changed in the mammary gland due to the absence of Cav1. Integrative metabolomics and transcriptomics analyses were applied to untangle functional links of metabolic pathways of the mammary gland with the gene expression changes of the placenta and fetus. The findings of this study show that metabolism and gene expression of the mammary gland are significantly impacted due to the loss of Cav1. Genes associated with specific metabolic and signaling pathways show coordinated expression changed in the placenta, mammary gland and fetal brain in Cav1-null mice. The cytokine signaling pathway emerges as a key player of the molecular crosstalk among the mammary gland, placenta and fetal brain. By interrogating the single-nuclei gene expression data of placenta and fetal brain previously generated from Cav1-null mice, the study further reveals that these metabolic and signaling genes are differentially regulated in specific cell types of the placenta and fetal brain. The findings of this study expand our understanding about the role of mammary gland metabolism in the regulation of fetoplacental communication in mammalian pregnancy.
Institute:Universiy of Missouri, Columbia
Last Name:Behura
First Name:Susanta
Address:920 East Campus, Columbia, Missouri, 65211, USA
Email:behuras@missouri.edu
Phone:573-882-1722

Subject:

Subject ID:SU003989
Subject Type:Mammal
Subject Species:Mus musculus
Taxonomy ID:10090
Genotype Strain:B6.Cg-Cav1tm1Mls/J (Cav1-null) mice; C57BL/6J (Control) mice

Factors:

Subject type: Mammal; Subject species: Mus musculus (Factor headings shown in green)

mb_sample_id local_sample_id Sample source Genotype Sample type
SA422053CVMAM-1Mammary gland B6.Cg-Cav1tm1Mls/J Cav1-null
SA422054CVMAM-2Mammary gland B6.Cg-Cav1tm1Mls/J Cav1-null
SA422055CVMAM-3Mammary gland B6.Cg-Cav1tm1Mls/J Cav1-null
SA422056BLMAM-1Mammary gland C57BL6/J Control
SA422057BLMAM-2Mammary gland C57BL6/J Control
SA422058BLMAM-3Mammary gland C57BL6/J Control
Showing results 1 to 6 of 6

Collection:

Collection ID:CO003982
Collection Summary:The B6.Cg-Cav1tm1Mls/J (Cav1-null) and control (C57BL/6J) mice were purchased from the Jackson Laboratory (stock numbers: 000664 and 007083 respectively). Adult male and female mice (7 weeks old) were paired in cages to induce pregnancy. The females were checked for vaginal plug. The start of pregnancy (day 1) was considered when a vaginal plug was observed. The control and Cav1-null pregnant mice were euthanized in triplicates on gestation day 15, and the mammary gland samples were dissected from mice of both the groups (n=3 each).
Sample Type:mammary gland

Treatment:

Treatment ID:TR003998
Treatment Summary:No treatment. Genotypes B6.Cg-Cav1tm1Mls/J (Cav1-null mice) C57BL/6J (Control mice) were compared.

Sample Preparation:

Sampleprep ID:SP003995
Sampleprep Summary:The samples were processed as per the attached protocol of GC-MS used by the University of Missouri Metabolomics Center that provided the metabolomics service.
Sampleprep Protocol Filename:Protocol_CoreLab.pdf

Combined analysis:

Analysis ID AN006333
Analysis type MS
Chromatography type GC
Chromatography system Agilent 6890
Column J&W Scientific DB-5MS (60m x 0.25mm, 0.25mm)
MS Type EI
MS instrument type Single quadrupole
MS instrument name Agilent 5973
Ion Mode POSITIVE
Units uM

Chromatography:

Chromatography ID:CH004804
Methods Filename:Protocol_CoreLab.pdf
Instrument Name:Agilent 6890
Column Name:J&W Scientific DB-5MS (60m x 0.25mm, 0.25mm)
Column Temperature:Temperature program: 80C for 2 min, then ramped at 5C min-1 to 315C and held for 12 min
Flow Gradient:-
Flow Rate:1.0 mL/min
Solvent A:-
Solvent B:-
Chromatography Type:GC

MS:

MS ID:MS006034
Analysis ID:AN006333
Instrument Name:Agilent 5973
Instrument Type:Single quadrupole
MS Type:EI
MS Comments:The spectral analysis was performed by the AMDIS (Automate Mass-spectral Deconvolution and Identification System), and metabolites were identified using a commercial NIST17 mass spectral library. The abundance of the metabolites was determined by the Metabolomics Ion-Based Data Extraction Algorithm (MET-IDEA).
Ion Mode:POSITIVE
Analysis Protocol File:Protocol_CoreLab.pdf
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