Skip to main content
Log in

Different miRNA contents between mammary epithelial cells and milk fat globules: a random or a targeted process?

  • Short Communication
  • Published:
Molecular Biology Reports Aims and scope Submit manuscript

Abstract

MicroRNAs (miRNAs) are small noncoding RNAs present in milk-derived extracellular vesicles and milk fat globules (MFG). Nucleic acid content between the lactating mammary tissue (MT) and MFG are quite similar but discrepancies exist in their miRNA content. Our objective was to identify the origin of these discrepancies, and to evaluate the existence of a possible mechanism sorting miRNAs that will or will not be exported from the mammary epithelial cells (MECs) in bovine MFG. miR-125b-5p, miR-126-3p, miR-141-3p, and miR-204-5p, chosen on the basis of their abundance in the MT, were quantified using RT-qPCR in lactating cow MT, MFG, and laser capture-microdissected MECs. Two miRNAs (miR-125b-5p and miR-141-3p) were detected in the MT as well as in MFG and MECs. miR-204-5p was detected only in the MT, suggesting that it is very likely expressed in a cell type other than MECs. miR-126-3p was detected both in the MT and in MECs but not in MFG, suggesting a targeting mechanism for miRNAs in MECs. These results highlights differences in miRNA content between MECs and MFG may be due to a possibly not random mechanism for loading MFG with miRNA cargos that could involve a variable distribution in MECs or a sorting mechanism.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Abbreviations

Ct:

Threshold cycle

EV:

Extracellular vesicle

MT:

Mammary tissue

MFG:

Milk fat

MEC:

Mammary epithelial cell

miRNA:

MicroRNAs

nt:

Nucleotides

References

  1. Bartel DP (2004) MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 116(2):281–297

    Article  CAS  Google Scholar 

  2. Friedman RC, Farh KK, Burge CB, Bartel DP (2009) Most mammalian mRNAs are conserved targets of microRNAs. Genome Res 19(1):92–105. https://doi.org/10.1101/gr.082701.108

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Chen X, Ba Y, Ma L, Cai X, Yin Y, Wang K, Guo J, Zhang Y, Chen J, Guo X, Li Q, Li X, Wang W, Zhang Y, Wang J, Jiang X, Xiang Y, Xu C, Zheng P, Zhang J, Li R, Zhang H, Shang X, Gong T, Ning G, Wang J, Zen K, Zhang J, Zhang CY (2008) Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases. Cell Res 18(10):997–1006. https://doi.org/10.1038/cr.2008.2827

    Article  CAS  PubMed  Google Scholar 

  4. Mathieu M, Martin-Jaular L, Lavieu G, Thery C (2019) Specificities of secretion and uptake of exosomes and other extracellular vesicles for cell-to-cell communication. Nat Cell Biol 21(1):9–17. https://doi.org/10.1038/s41556-018-0250-9

    Article  CAS  PubMed  Google Scholar 

  5. Abels ER, Breakefield XO (2016) Introduction to extracellular vesicles: biogenesis, RNA cargo selection, content, release, and uptake. Cell Mol Neurobiol 36(3):301–312. https://doi.org/10.1007/s10571-016-0366-z

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Alsaweed M, Hepworth AR, Lefevre C, Hartmann PE, Geddes DT, Hassiotou F (2015) Human milk microRNA and total RNA differ depending on milk fractionation. J Cell Biochem 116(10):2397–2407. https://doi.org/10.1002/jcb.25207

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Li R, Dudemaine PL, Zhao X, Lei C, Ibeagha-Awemu EM (2016) Comparative analysis of the miRNome of bovine milk fat, Whey and Cells. PLoS ONE 11(4):e0154129. https://doi.org/10.1371/journal.pone.0154129

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Mather IH, Keenan TW (1998) Origin and secretion of milk lipids. J Mammary Gland Biol Neoplas 3(3):259–273

    Article  CAS  Google Scholar 

  9. Janssen MMT, Walstra P (1982) Cytoplasmic remnants in milk of certain species. Neth Milk Dairy J 36(4):365–368

    Google Scholar 

  10. Brenaut P, Bangera R, Bevilacqua C, Rebours E, Cebo C, Martin P (2012) Validation of RNA isolated from milk fat globules to profile mammary epithelial cell expression during lactation and transcriptional response to a bacterial infection. J Dairy Sci 95(10):6130–6144. https://doi.org/10.3168/jds.2012-5604

    Article  CAS  PubMed  Google Scholar 

  11. Lago Novais D, Pawlowski K, Pires J, Mobuchon L, Bes S, Martin P, Leroux C (2016) Milk fat globules as a source of mammary microRNA. In: ADSA/ASAS (American Society of Animal Science/American Dairy Science Association) Joint Annual Meeting, Salt Lake City, USA, 19–23 July 2016

  12. Mobuchon L, Le Guillou S, Marthey S, Laubier J, Laloe D, Bes S, Le Provost F, Leroux C (2017) Sunflower oil supplementation affects the expression of miR-20a-5p and miR-142-5p in the lactating bovine mammary gland. PLoS ONE 12(12):e0185511. https://doi.org/10.1371/journal.pone.0185511

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Le Guillou S, Marthey S, Laloe D, Laubier J, Mobuchon L, Leroux C, Le Provost F (2014) Characterisation and comparison of lactating mouse and bovine mammary gland miRNomes. PLoS ONE 9(3):e91938. https://doi.org/10.1371/journal.pone.0091938

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Bevilacqua C, Makhzami S, Helbling JC, Defrenaix P, Martin P (2010) Maintaining RNA integrity in a homogeneous population of mammary epithelial cells isolated by laser capture microdissection. BMC Cell Biol 11:95. https://doi.org/10.1186/1471-2121-11-95

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Li D, Liu H, Li Y, Yang M, Qu C, Zhang Y, Liu Y, Zhang X (2014) Identification of suitable endogenous control genes for quantitative RT-PCR analysis of miRNA in bovine solid tissues. Mol Biol Rep 41(10):6475–6480. https://doi.org/10.1007/s11033-014-3530-x

    Article  CAS  PubMed  Google Scholar 

  16. Livak KJ, Schmittgen TD (2001) Analysis of relative gene expression data using real-time quantitative PCR and the 2(-delta delta C(T)) method. Methods 25(4):402–408

    Article  CAS  Google Scholar 

  17. Izumi H, Kosaka N, Shimizu T, Sekine K, Ochiya T, Takase M (2012) Bovine milk contains microRNA and messenger RNA that are stable under degradative conditions. J Dairy Sci 95(9):4831–4841. https://doi.org/10.3168/jds.2012-5489

    Article  CAS  PubMed  Google Scholar 

  18. Sun J, Aswath K, Schroeder SG, Lippolis JD, Reinhardt TA, Sonstegard TS (2015) MicroRNA expression profiles of bovine milk exosomes in response to Staphylococcus aureus infection. BMC Genom 16:806. https://doi.org/10.1186/s12864-015-2044-9

    Article  CAS  Google Scholar 

  19. Liao Y, Du X, Li J, Lonnerdal B (2017) Human milk exosomes and their microRNAs survive digestion in vitro and are taken up by human intestinal cells. Mol Nutr Food Res. https://doi.org/10.1002/mnfr.201700082

    Article  PubMed  Google Scholar 

  20. Li M, Sun X, Cai H, Sun Y, Plath M, Li C, Lan X, Lei C, Lin F, Bai Y, Chen H (2016) Long non-coding RNA ADNCR suppresses adipogenic differentiation by targeting miR-204. Biochim Biophys Acta 1859(7):871–882. https://doi.org/10.1016/j.bbagrm.2016.05.003

    Article  CAS  PubMed  Google Scholar 

  21. Osinska E, Wicik Z, Godlewski MM, Pawlowski K, Majewska A, Mucha J, Gajewska M, Motyl T (2014) Comparison of stem/progenitor cell number and transcriptomic profile in the mammary tissue of dairy and beef breed heifers. J Appl Genet 55(3):383–395. https://doi.org/10.1007/s13353-014-0213-1

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Chu M, Zhao Y, Feng Y, Zhang H, Liu J, Cheng M, Li L, Shen W, Cao H, Li Q, Min L (2017) MicroRNA-126 participates in lipid metabolism in mammary epithelial cells. Mol Cell Endocrinol 454:77–86

    Article  CAS  Google Scholar 

  23. Zhang J, Li S, Li L, Li M, Guo C, Yao J, Mi S (2015) Exosome and exosomal microRNA: trafficking, sorting, and function. Genom Proteom Bioinform 13(1):17–24. https://doi.org/10.1016/j.gpb.2015.02.001

    Article  CAS  Google Scholar 

  24. Squadrito ML, Baer C, Burdet F, Maderna C, Gilfillan GD, Lyle R, Ibberson M, De Palma M (2014) Endogenous RNAs modulate microRNA sorting to exosomes and transfer to acceptor cells. Cell Rep 8(5):1432–1446. https://doi.org/10.1016/j.celrep.2014.07.035

    Article  CAS  PubMed  Google Scholar 

  25. Kalamvoki M, Du T, Roizman B (2014) Cells infected with herpes simplex virus 1 export to uninfected cells exosomes containing STING, viral mRNAs, and microRNAs. Proc Natl Acad Sci USA 111(46):E4991–4996. https://doi.org/10.1073/pnas.1419338111

    Article  CAS  PubMed  Google Scholar 

  26. Villarroya-Beltri C, Gutierrez-Vazquez C, Sanchez-Cabo F, Perez-Hernandez D, Vazquez J, Martin-Cofreces N, Martinez-Herrera DJ, Pascual-Montano A, Mittelbrunn M, Sanchez-Madrid F (2013) Sumoylated hnRNPA2B1 controls the sorting of miRNAs into exosomes through binding to specific motifs. Nat Commun 4:2980. https://doi.org/10.1038/ncomms3980

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank D. Roux and the staff at Ruminant Research Unit of Theix (UERT, 63122 Saint Genes-Champanelle, France) for the management of the animals, Chiara Simonetti for her help in the laser capture microdissected MEC sample preparation, and Jose Pires for his helpful discussion.

Funding

This work received a financial support from the PHASE (Physiologie Animale & Systèmes d’Elevage) Department of INRA. Daiane Lago-Novais was awarded a grant from the Brazilian Ministry of Science and Technology “Coordenação de Aperfeiçoamento de Pessoal de Nível Superior” (CAPES). Karol Pawlowski grant was provided by GISA meta-program of INRA (Ruminflame project).

Author information

Authors and Affiliations

Authors

Contributions

CL, KP and DLN conceived, designed, and initiated the project. KP and and DLN performed RT-qPCR analyses. CB, and NC performed laser microdissection. CL, KP and PM wrote the original draft. LM, YF, CB, GC helped to revise the manuscript. CL supervised the project. All authors read and approved the final version.

Corresponding author

Correspondence to Christine Leroux.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Ethical approval

The experiment was conducted at the INRAE Herbipole experimental farm (https://doi.org/10.15454/1.5572318050509348E12). Animal procedures were performed in compliance with Regional Animal Care Committee guidelines of the “Comité d’Ethique en Matière d’Expérimentation Animale-Auvergne” (CEMEA: Auvergne), French Ministry of Agriculture and European Union guidelines for animal research C2EA-02. All mammary biopsies were performed with relevant national legislation and were done by an accredited person (No. of certification: 63–20). Cows were fed ad libitum. The cows were housed in stalls with free access to water.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

11033_2020_5787_MOESM1_ESM.docx

Supplementary file1 (DOCX 40 kb)—Supplementary Table 1: Primers used for RT-qPCR analyses. Supplemental Table 2: RT-qPCR data from mammary tissue (MT) and milk fat globule (MFG). Raw Ct mean are indicated by biological matrix type (MT and MFG). Supplementary Table 3: RT-qPCR data from mammary tissue (MT) and mammary epithelial cells (MEC) obtained by laser capture microdissection. Raw Ct mean are indicated by biological matrix type (MT and MFG).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pawlowski, K., Lago-Novais, D., Bevilacqua, C. et al. Different miRNA contents between mammary epithelial cells and milk fat globules: a random or a targeted process?. Mol Biol Rep 47, 8259–8264 (2020). https://doi.org/10.1007/s11033-020-05787-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11033-020-05787-8

Keywords

Navigation