Enhanced capacity to dissipate body heat alters mammary gene expression in lactating mice
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Illumina HiSeq 2000
ORGANISM(S): Mus musculus
SUBMITTER: Elzbieta Krol
PROVIDER: E-MTAB-11654 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description: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 towards 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 5 time points (24 hours pre-partum during the colostrum period, mid lactation, two involution, 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 (eg. CEL, OLAH, FOLR1, BTN1A1, ARG2), while milk cells collected during involution showed a significant down regulation of milk synthesis genes and activation of involution associated genes (eg. STAT3, NF-kB, IRF5, IRF7). Milk cells collected during mastitic infection revealed regulation of a unique set of genes specific to this disease state, whilst maintaining regulation of milk synthesis genes. Use of conventional epithelial cell markers was used to determine the population of MECâ??s 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. Human milk sampling throughout lactation cycle and during mastitic infection.
2016-04-01 | E-GEOD-77978 | biostudies-arrayexpress
Project description:The mammary gland develops mainly postnatally, when during pregnancy the epithelium grows out into the mammary fat pad and forms a network of epithelial ducts. During pregnancy, these ducts branch and bud to form alveoli. These alveoli produce the milk during lactation. After 7 days of lactation, involution was induced by force weaning the pups. The newly formed epithelium undergoes apoptosis and is removed from the tissue by neighbouring epithelial cells. Tissue remodelling leads to a morphology resembling a gland of a pre-pregnant mouse. Microarray analysis was used to measure mRNA expression of genes during puberty, pregnancy, lactation and involution in a Balb/c mouse strain. Experiment Overall Design: Total RNA was extracted from the 4th (inguinal) gland after removal of the lymph node. Individual samples represent RNA from one gland of one mouse. Samples were taken in triplicate (i.e. three mice per triplicate) for 18 time points of development.
2008-10-21 | E-GEOD-12247 | biostudies-arrayexpress
Project description:Mammary gland involution represents one of the most dramatic examples of programmed cell death/apoptosis and tissue regression during development, yet large gaps still exist in the understanding of the mechanisms involved, and the key factors that trigger involution, are not yet identified. With the focus on identifying ânovelâ genes associated with mammary gland regression, we used microarray analysis to examine differentially expressed genes during early mammary gland involution in the mouse. We believe that such analysis may facilitate the identification of genes that report on proliferative changes in the breast, particularly with regards to growth arrest and growth inhibition. We further reasoned that genes that inhibit mammary gland proliferation might have relevance to breast tumorigenesis since cancer is generally associated with a defect in apoptosis and cell growth arrest. Gene expression from day 0 (D0) of involution was compared to day 1 (D1, 24 hr post weaning) to identify genes exhibiting differential expression. A total of 5,826 genes were identified as being differentially expressed. Changes in gene expression were confirmed by quantitative real time PCR analysis of 21 randomly selected genes. Following the selection of a number of highly regulated mouse genes within this cohort, database searches were then employed to identify genes associated with human tumorigenesis. With an ultimate goal being the identification of genes, which under normal physiological conditions, inhibit breast proliferation, and therefore have the potential to impact on the clinical management of breast cancer, we further examined their relevance to human tumorigenesis. Among genes identified as having human homologues, and with previously established links to human tumorigenesis, were several known genes among the top 200 differentially expressed genes including EGF, EGFR, TGFÃ2, PTHLH, IGFBP1, that were down regulated. Upregulated known genes included ANNEXIN A1 and A3, THYMOSIN BETA 10, IGFBP5, LIF, BID, BCL2, JUN, KIT, and CLAUDIN 1. CLAUDIN 1 was the most highly upregulated gene in our dataset. Moreover, we identified a number of genes not previously implicated or not well characterized in human breast cancer including ANGPTL4, SLC34A2, GOS2, STEAP, SOX4, TNFRSF12A and SAA2. The expression levels of these genes in human breast cancer were confirmed in breast cancer cell lines and breast tumor tissues. For some of these genes, expression was consistently down regulated in a small panel of human breast tumor specimens. We believe that these genes now warrant further investigation to determine their relevance to human breast tumorigenesis and their potential utility as therapeutic targets for human breast cancer. This pilot study was used to demonstrate proof of principle that through the analysis of gene expression during mammary gland involution, it may be indeed possible to identify ânovelâ genes relevant to the growth arrest in the mammary gland and relevant to human breast cancer. Experiment Overall Design: Pooled RNA from D0 mice and from D1 mice, (five mice per time point), was compared for differential gene expression by microarray analysis conducted by Paradigm Array Labs (Research Triangle Park, North Carolina, USA). The Affymetrix GeneChip Mouse Genome 430 Plus 2.0 Array (Affymetrix, Santa Clara CA. USA) was used. The array contained 45,100 probe sets (The Affymetrix probe-set identificator) and represented 39,000 transcripts. The Affymetrix Statistical Algorithms, implemented in the Affymetrix Microarray Suite 5.0 software, were used in the expression analysis of GeneChip probe arrays.
2008-06-13 | E-GEOD-5317 | biostudies-arrayexpress
Project description:Background: The differential expression pattern of microRNAs (miRNAs) during mammary gland development might provide insights into their role in regulating the homeostasis of the breast epithelium. Our aim was to analyse these regulatory functions by deriving a comprehensive tissue-specific combined miRNA and mRNA expression profile of post-natal mouse mammary gland development. We measured the expression of 318 individual murine miRNAs by bead-based flow-cytometric profiling of whole mouse mammary glands throughout a 16-point developmental time course, including juvenile, puberty, mature virgin, gestation, lactation, and involution stages. In parallel whole-genome mRNA expression data were obtained. Results: One third (n = 102) of all murine miRNAs analysed were present during mammary gland development. MicroRNAs were represented in seven temporally co-expressed clusters, which were enriched for both miRNAs belonging to the same family and breast cancer-associated miRNAs. Global miRNA and mRNA expression was significantly reduced during lactation and the early stages of involution after weaning. For most detected miRNA families we did not observe systematic changes in the expression of predicted targets. For miRNA families whose targets did show significant changes, we observed inverse patterns of miRNA and target expression. The datasets are made publicly available and the combined expression profiles represent an important community resource for mammary gland biology research. Conclusions: MicroRNAs were expressed in co-regulated clusters during mammary gland development. Breast cancer-associated miRNAs were significantly enriched in these clusters. The mechanism and functional consequences of this miRNA co-regulation and its correlation with mRNA expression provide new avenues for research into mammary gland biology and generates candidates for functional validation. This SuperSeries is composed of the following subset Series: GSE15054: Characterisation of microRNA expression in post-natal mouse mammary gland development [gene] GSE15055: Characterisation of microRNA expression in post-natal mouse mammary gland development [miRNA] Refer to individual Series
2010-06-25 | E-GEOD-15057 | biostudies-arrayexpress
Project description:Background: The differential expression pattern of microRNAs (miRNAs) during mammary gland development might provide insights into their role in regulating the homeostasis of the breast epithelium. Our aim was to analyse these regulatory functions by deriving a comprehensive tissue-specific combined miRNA and mRNA expression profile of post-natal mouse mammary gland development. We measured the expression of 318 individual murine miRNAs by bead-based flow-cytometric profiling of whole mouse mammary glands throughout a 16-point developmental time course, including juvenile, puberty, mature virgin, gestation, lactation, and involution stages. In parallel whole-genome mRNA expression data were obtained. Results: One third (n = 102) of all murine miRNAs analysed were present during mammary gland development. MicroRNAs were represented in seven temporally co-expressed clusters, which were enriched for both miRNAs belonging to the same family and breast cancer-associated miRNAs. Global miRNA and mRNA expression was significantly reduced during lactation and the early stages of involution after weaning. For most detected miRNA families we did not observe systematic changes in the expression of predicted targets. For miRNA families whose targets did show significant changes, we observed inverse patterns of miRNA and target expression. The datasets are made publicly available and the combined expression profiles represent an important community resource for mammary gland biology research. Conclusions: MicroRNAs were expressed in co-regulated clusters during mammary gland development. Breast cancer-associated miRNAs were significantly enriched in these clusters. The mechanism and functional consequences of this miRNA co-regulation and its correlation with mRNA expression provide new avenues for research into mammary gland biology and generates candidates for functional validation. Developmental time course over 17 time points with 2-3 independent biological replicates per time point and four pairs of technical replicates, 48 samples in total
2010-06-25 | E-GEOD-15054 | biostudies-arrayexpress
Project description:Background: The differential expression pattern of microRNAs (miRNAs) during mammary gland development might provide insights into their role in regulating the homeostasis of the breast epithelium. Our aim was to analyse these regulatory functions by deriving a comprehensive tissue-specific combined miRNA and mRNA expression profile of post-natal mouse mammary gland development. We measured the expression of 318 individual murine miRNAs by bead-based flow-cytometric profiling of whole mouse mammary glands throughout a 16-point developmental time course, including juvenile, puberty, mature virgin, gestation, lactation, and involution stages. In parallel whole-genome mRNA expression data were obtained. Results: One third (n = 102) of all murine miRNAs analysed were present during mammary gland development. MicroRNAs were represented in seven temporally co-expressed clusters, which were enriched for both miRNAs belonging to the same family and breast cancer-associated miRNAs. Global miRNA and mRNA expression was significantly reduced during lactation and the early stages of involution after weaning. For most detected miRNA families we did not observe systematic changes in the expression of predicted targets. For miRNA families whose targets did show significant changes, we observed inverse patterns of miRNA and target expression. The datasets are made publicly available and the combined expression profiles represent an important community resource for mammary gland biology research. Conclusions: MicroRNAs were expressed in co-regulated clusters during mammary gland development. Breast cancer-associated miRNAs were significantly enriched in these clusters. The mechanism and functional consequences of this miRNA co-regulation and its correlation with mRNA expression provide new avenues for research into mammary gland biology and generates candidates for functional validation. Developmental time course over 16 time points with 1-3 independent biological replicates per time point and three pairs of technical replicates, 40 samples in total
2010-06-25 | E-GEOD-15055 | biostudies-arrayexpress
Project description:Post-lactational involution of the mammary gland provides a unique model to study breast cancer susceptibility and metastasis. We have shown that the short isoform of Singleminded-2 (Sim2s), a bHLH/PAS transcription factor, plays a role in promoting lactogenic differentiation, as well as in maintaining mammary epithelial differentiation and malignancy. Sim2s is dynamically expressed during mammary gland development, with expression peaking during lactation, and decreasing in early involution. To determine the role of Sim2s in involution, we used transgenic mice expressing Sim2s under the mouse mammary tumor virus (MMTV-Sim2s) promoter. Over-expression of Sim2s in the mouse mammary gland resulted in delayed involution, indicated by a lower proportion of cleaved caspase-3 positive cells and slower re-establishment of the mammary fat pad. Immunohistochemical and quantitative RNA analysis showed a decrease in apoptotic markers and inflammatory response genes, and an increase in anti-apoptotic genes, which were accompanied by inhibition of signal transducer and activator of transcription 3 (Stat3) activity. Microarray analysis confirmed that genes in the Stat3 signaling pathway were repressed by Sim2s expression, along with NFκB and other key pathways involved in mammary gland development. Multiparous MMTV-Sim2s females displayed a more differentiated phenotype compared to wild-type controls, characterized by enhanced β-casein expression and alveolar structures. Together, these results suggest a role for Sim2s in the normal involuting gland, and identify potential down-stream pathways regulated by Sim2s. Gene expression was measured in 6 mammary gland samples using CodeLink Mouse Whole Genome microarrays. 3 samples were from wild-type mice harvested at 72 hours post weaning and 3 samples were MMTV-Sim2s mice harvested at 72 hours post weaning.
2011-02-03 | E-GEOD-27012 | biostudies-arrayexpress
Project description:The aim of the present study was to correlate lipid metabolism genes in the mammary gland tissue affected by stage of lactation and nutrition to the resulting milk fatty acids composition in grazing dairy cows, and to classify milk fatty acid (FA) groups based on variations in lipid metabolism gene expression patterns. Identifying the relationship between lipid metabolism genes in the mammary gland tissue and the resulting milk fatty acid composition is expected to greatly contribute to our understanding of milk fatty acid metabolism and to enhance opportunities to improve milk fat composition through nutrition. In fact, SNCA, SCD5, and PNPLA2 lipid metabolism-related genes affected by unsaturated fatty acids supplementation, were found to strongly correlated to different milk FA groups, but also contributed most to the classification of these FA groups, suggesting a significant role in mediating the lipid metabolism in the mammary gland tissue and determining the milk fatty acids composition. A total of 28 Holstein-Friesian dairy cows in mid-lactation were blocked according to parity (2.4 ± 0.63 years), days in milk (DIM; 153 ± 32.8 days), milk yield (25.7 ± 3.08 kg/d) and fat content (4.3 ± 0.12%). Cows were then randomly assigned to four UFA-sources based on rapeseed, soybean, linseed or a mixture of the three oils for 23 days (Period I) after which, all 28 cows were switched to a control diet for an additional 28 days (Period II). On the last day of both periods, mammary gland biopsies were taken to study genome-wide differences in lipid metabolism gene expression.
2011-01-01 | E-GEOD-20908 | biostudies-arrayexpress
Project description:Different lactation stages have marked influence on milk yield, milk constituents and nourishment of the neonates. However, the differential gene expression during different lactation stages in Bosindicus has not been investigated so far. In this study, we carried out high-resolution mass spectrometry-based quantitative proteomics of bovine whey at early, mid and late lactation stages of MalnadGidda (Bosindicus) cows. Using TMT-based quantitative proteomics, we compared the bovine whey proteins on progressive lactation stages of Indian breed, MalnadGidda(Bosindicus). LC-MS/MS analysis of whey peptides from early, mid and late lactation stages resulted in the generation of 420,092 MS/MS spectra and 50,800 peptide spectrum matches, which led to the identification of 4,450 peptides corresponding to 725 proteins. Out of which, 440 proteins were differentially expressed (≥1.5-fold). Gene Ontology studies showed that proteins that regulatemilk composition and mammary growth associated proteins are abundantly expressed during peak lactation stages. Whereas, proteins related to pregnancy and mammary involution are expressed high in late and mid lactation stages indicating the physiological changes in the maternal system of bovine during drying period. Detection of progestagen associated endometrial protein; an immune protein seen in the fetomaternal interface and other pregnancy associated proteins at mid lactation suggest a candidate biomarker for the early pregnancy diagnosis. These results are overlapping with the previous findings addressed in milk from exotic breeds. We strongly believe that this preliminary investigation on differential proteome in milk whey over the course of lactation of indigenous cattle could answer many unsolved questions in lactation biology.
2018-02-16 | PXD007655 | Pride
Project description:Analysis of the milk fat globule proteome from mice with a mammary-specific knockout of Xanthine Oxidoreductase.
2017-05-31 | PXD003336 | Pride