The endocrine regulation of milk lipid synthesis and secretion in tammar wallaby (Macropus eugenii)

Cross-Species Meta-Analysis of Transcriptomic Data in Combination With Supervised Machine Learning Models Identifies the Common Gene Signature of Lactation Process

Lactation, a physiologically complex process, takes place in mammary gland after parturition. The expression profile of the effective genes in lactation has not comprehensively been elucidated. Herein, meta-analysis, using publicly available microarray data, was conducted identify the differentially expressed genes (DEGs) between pre- and post-peak milk production. Three microarray datasets of Rat, Bos Taurus, and Tammar wallaby were used. Samples related to pre-peak (n = 85) and post-peak (n = 24) milk production were selected. Meta-analysis revealed 31 DEGs across the studied species. Interestingly, 10 genes, including MRPS18B, SF1, UQCRC1, NUCB1, RNF126, ADSL, TNNC1, FIS1, HES5 and THTPA, were not detected in original studies that highlights meta-analysis power in biosignature discovery. Common target and regulator analysis highlighted the high connectivity of CTNNB1, CDD4 and LPL as gene network hubs. As data originally came from three different species, to check the effects of heterogeneous data sources on DEGs, 10 attribute weighting (machine learning) algorithms were applied. Attribute weighting results showed that the type of organism had no or little effect on the selected gene list. Systems biology analysis suggested that these DEGs affect the milk production by improving the immune system performance and mammary cell growth. This is the first study employing both meta-analysis and machine learning approaches for comparative analysis of gene expression pattern of mammary glands in two important time points of lactation process. The finding may pave the way to use of publically available to elucidate the underlying molecular mechanisms of physiologically complex traits such as lactation in mammals.

Transcriptome analysis of mammary epithelial cell gene expression reveals novel roles of the extracellular matrix

BACKGROUND

The unique lactation strategy of the tammar wallaby (Macropus eugeni) has been invaluable in evaluating the role of lactogenic hormones and the extracellular matrix (ECM) in the local control of mammary gland function. However molecular pathways through which hormones and ECM exert their effect on wallaby mammary gland function remain unclear. This study undertakes transcriptome analysis of wallaby mammary epithelial cells (WallMEC) following treatment with mammary ECM from two distinct stages of lactation.

METHODS

WallMEC from MID lactation mammary glands were cultured on ECM from MID or LATE lactation and treated for 5 days with 1 μg/ml cortisol, 1 μg/ml insulin, 0.2 µg/ml prolactin, 650 pg/ml triodothyronine and 1 pg/ml estradiol to induce lactation. WallMEC RNA from triplicate ECM treatments was used to perform RNAseq.

RESULTS

ECM from MID and LATE lactation differentially regulated key genes in sugar and lipid metabolism. Seven pathways including galactose metabolism, lysosome, cell adhesion molecules (CAM), p53 signaling, the complement and coagulation and Nod-like receptor signaling pathways were only significantly responsive to ECM in the presence of hormones. The raw RNA-seq data for this project are available on the NCBI Gene Expression Omnibus (GEO) browser (accession number GSE81210).

CONCLUSIONS

A potential role of ECM in regulation of the caloric content of milk, among other functions including apoptosis, cell proliferation and differentiation has been identified.

GENERAL SIGNIFICANCE

This study has used a non-eutherian lactation model to demonstrate the synergy between ECM and hormones in the local regulation of mammary function.

Effects of nutritional manipulation on body composition in the developing marsupial, Macropus eugenii

When 60-day-old tammar wallaby pouch young (Macropus eugenii) are fostered to mothers at 120 days of lactation, their growth, developmental rate and maturation of their GH/IGF axes are markedly accelerated. To determine the effect of fostering on energy intake, body composition and fat accretion, we first measured total body fat and lean mass in these young. Next, we mimicked the triglyceride oleic and palmitic acid composition of 120-day milk by supplementing 60 day young with these fatty acids and comparing their growth with that of growth accelerated young. There was no difference in the weight or growth axis maturation of supplemented young but there was significantly more body fat in these and in the growth-accelerated fostered young than in controls. We conclude that the accelerated growth and GH/IGF axis maturation observed previously in fostered young is most likely due to increased milk consumption and earlier access to specific nutrients.

Gene expression in the mammary gland of the tammar wallaby during the lactation cycle reveals conserved mechanisms regulating mammalian lactation

The tammar wallaby (Macropus eugenii), an Australian marsupial, has evolved a different lactation strategy compared with eutherian mammals, making it a valuable comparative model for lactation studies. The tammar mammary gland was investigated for changes in gene expression during key stages of the lactation cycle using microarrays. Differentially regulated genes were identified, annotated and subsequent gene ontologies, pathways and molecular networks analysed. Major milk-protein gene expression changes during lactation were in accord with changes in milk-protein secretion. However, other gene expression changes included changes in genes affecting mRNA stability, hormone and cytokine signalling and genes for transport and metabolism of amino acids and lipids. Some genes with large changes in expression have poorly known roles in lactation. For instance, SIM2 was upregulated at lactation initiation and may inhibit proliferation and involution of mammary epithelial cells, while FUT8 was upregulated in Phase 3 of lactation and may support the large increase in milk volume that occurs at this point in the lactation cycle. This pattern of regulation has not previously been reported and suggests that these genes may play a crucial regulatory role in marsupial milk production and are likely to play a related role in other mammals.

Elongation and desaturation pathways in mammary gland epithelial cells are associated with modulation of fat and membrane composition

The aim was to determine the relative role of each of the lactogenic hormones (insulin, prolactin and hydrocortisol) and their combinations in regulating elongation and desaturation of polyunsaturated fatty acids and subsequently on composition of cellular lipid compartments in mammary epithelia. Cultured cells of the mammary gland epithelial cell line HC11 were subjected to 48 h of hormonal treatment with different combinations of insulin, hydrocortisone and prolactin. Only the combination of all three hormones induced differentiation according to the marker β-casein gene expression. Inclusion of insulin in the treatment medium increased total fatty acid amount by 50% and increased the concentration of monounsaturated fatty acids by 12% while decreasing that of saturated fatty acids by 35%. Changes in the levels of fatty acids by chain length and saturation paralleled mRNA expression of the desaturases and elongases, whose expression levels were regulated again by inclusion of all three hormones in the treatment medium. Gene expression levels of the Δ6 desaturase and elongase 5 genes (Elovl 5) increased by approximately 1.5-fold, whereas expression of Elovl 4 decreased in the presence of all three hormones. Insulin was the main hormone inducing compositional differences in membrane lipids, increasing phosphatidylethanolamine and phosphatidylinositol and decreasing sphingomyelin and cholesterol. The results indicate that mammary gland epithelial cells express five out of the seven known elongase subtypes which are regulated primarily by the processes of differentiation and produce major compositional changes in mammary gland epithelial cells.

Insulin regulates milk protein synthesis at multiple levels in the bovine mammary gland

The role of insulin in milk protein synthesis is unresolved in the bovine mammary gland. This study examined the potential role of insulin in the presence of two lactogenic hormones, hydrocortisone and prolactin, in milk protein synthesis. Insulin was shown to stimulate milk protein gene expression, casein synthesis and (14)C-lysine uptake in mammary explants from late pregnant cows. A global assessment of changes in gene expression in mammary explants in response to insulin was undertaken using Affymetrix microarray. The resulting data provided insight into the molecular mechanisms stimulated by insulin and showed that the hormone stimulated the expression of 28 genes directly involved in protein synthesis. These genes included the milk protein transcription factor, ELF5, translation factors, the folate metabolism genes, FOLR1 and MTHFR, as well as several genes encoding enzymes involved in catabolism of essential amino acids and biosynthesis of non-essential amino acids. These data show that insulin is not only essential for milk protein gene expression, but stimulates milk protein synthesis at multiple levels within bovine mammary epithelial cells.