D. P. Bartel, MicroRNAs: genomics, biogenesis, mechanism, and function, Cell, vol.116, pp.281-297, 2004.

J. A. Weber, D. H. Baxter, S. Zhang, D. Y. Huang, K. H. Huang et al., The microRNA spectrum in 12 body fluids, Clin Chem, vol.56, pp.1733-1774, 2010.

M. A. Underwood, W. M. Gilbert, and M. P. Sherman, Amniotic fluid: not just fetal urine anymore, J Perinatol, vol.25, issue.5, pp.341-349, 2005.

L. C. Laurent, MicroRNAs in embryonic stem cells and early embryonic development, J Cell Mol Med, vol.12, issue.6A, pp.2181-2188, 2008.

Q. Zhou, M. Li, X. Wang, Q. Li, T. Wang et al., Immune-related microRNAs are abundant in breast milk exosomes, Int J Biol Sci, vol.8, issue.1, pp.118-141, 2012.

M. Power and J. Schulkin, Maternal regulation of offspring development in mammals is an ancient adaptation tied to lactation, Applied & Translational Genomics, vol.2, pp.55-63, 2013.

G. A. Nevinsky, T. G. Kanyshkova, D. V. Semenov, A. V. Vlassov, . Av et al., Secretory immunoglobulin A from healthy human mothers' milk catalyzes nucleic acid hydrolysis, Appl Biochem Biotechnol, vol.83, issue.1-3, pp.145-53, 2000.

H. Ramaswamy, C. V. Swamy, and M. R. Das, Purification and characterization of a high molecular weight ribonuclease from human milk, J Biol Chem, vol.25, issue.6, pp.4181-4188, 1993.

M. I. Zonneveld, A. R. Brisson, M. J. Van-herwijnen, S. Tan, C. H. Van-de-lest et al., Recovery of extracellular vesicles from human breast milk is influenced by sample collection and vesicle isolation procedures, J Extracell Vesicles, vol.14, p.3, 2014.

E. M. Munch, R. A. Harris, M. Mohammad, A. L. Benham, S. M. Pejerrey et al., Transcriptome profiling of microRNA by Next-Gen deep sequencing reveals known and novel miRNA species in the lipid fraction of human breast milk, PLoS One, vol.8, issue.2, p.50564, 2013.

P. Brenaut, R. Bangera, C. Bevilacqua, E. Rebours, C. Cebo et al., 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, vol.95, issue.10, pp.6130-6174, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01003368

F. Hassiotou, D. T. Geddes, and P. E. Hartmann, Cells in human milk: state of the science, J Hum Lact, vol.29, issue.2, pp.171-82, 2013.

H. Izumi, N. Kosaka, T. Shimizu, K. Sekine, T. Ochiya et al., Bovine milk contains microRNA and messenger RNA that are stable under degradative conditions, J Dairy Sci, vol.95, issue.9, pp.4831-4872, 2012.

N. Kosaka, H. Izumi, K. Sekine, and T. Ochiya, microRNA as a new immune-regulatory agent in breast milk, Silence, vol.1, issue.1, p.7, 2010.

C. Chen, D. A. Ridzon, A. J. Broomer, Z. Zhou, D. H. Lee et al., Real-time quantification of micro-RNAs by stem-loop RT-PCR, Nucleic Acids Res, vol.27, issue.20, 2005.

H. J. Fu, J. Zhu, M. Yang, Z. Y. Zhang, Y. Tie et al., A novel method to monitor the expression of microRNAs, qPCR on Human Breast Milk Reveals Daily Fluctuations, vol.32, pp.197-204, 2006.

P. One and . Doi, , 2015.

L. Pigati, S. C. Yaddanapudi, R. Iyengar, D. J. Kim, S. A. Hearn et al., Selective release of microRNA species from normal and malignant mammary epithelial cells, PLoS One, vol.20, issue.10, p.13515, 2010.

M. D. Mattie, C. C. Benz, J. Bowers, K. Sensinger, L. Wong et al., Optimized high-throughput microRNA expression profiling provides novel biomarker assessment of clinical prostate and breast cancer biopsies, Mol Cancer, vol.5, p.24, 2006.

X. Chen, H. Liang, D. Guan, C. Wang, X. Hu et al., A combination of Let-7d, Let-7g and Let-7i serves as a stable reference for normalization of serum micro-RNAs, PLoS One, vol.5, issue.11, p.79652, 2013.

P. A. Davoren, R. E. Mcneill, A. J. Lowery, M. J. Kerin, and N. Miller, Identification of suitable endogenous control genes for microRNA gene expression analysis in human breast cancer, BMC Mol Biol, vol.21, p.76, 2008.

J. Cubero, V. Valero, J. Sánchez, M. Rivero, H. Parvez et al., The circadian rhythm of tryptophan in breast milk affects the rhythms of 6-sulfatoxymelatonin and sleep in newborn, Neuro Endocrinol Lett, vol.26, issue.6, pp.657-61, 2005.

H. Illnerová, M. Buresová, and J. Presl, Melatonin rhythm in human milk, J Clin Endocrinol Metab, vol.77, issue.3, pp.838-879, 1993.

C. L. Sánchez, J. Cubero, J. Sánchez, B. Chanclón, M. Rivero et al., The possible role of human milk nucleotides as sleep inducers, Nutr Neurosci, vol.12, issue.1, pp.2-8, 2009.

J. A. Glasel, Validity of nucleic acid purities monitored by 260nm/280nm absorbance ratios. Biotechniques, vol.18, pp.62-65, 1995.

E. M. Kroh, R. K. Parkin, P. S. Mitchell, and M. Tewari, Analysis of circulating microRNA biomarkers in plasma and serum using quantitative reverse transcription-PCR (qRT-PCR), Methods, vol.50, issue.4, p.268, 2010.

J. Vandesompele, D. Preter, K. Pattyn, F. Poppe, B. Van-roy et al., Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes

, Genome Biol, vol.18, issue.7, 2002.

C. L. Andersen, J. L. Jensen, and T. F. Ørntoft, Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets, Cancer Res, vol.1, issue.15, pp.5245-50, 2004.

M. W. Pfaffl, A. Tichopad, C. Prgomet, and T. P. Neuvians, Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper-Excel-based tool using pair-wise correlations, Biotechnol Lett, vol.26, issue.6, pp.509-524, 2004.

N. Silver, S. Best, J. Jiang, and S. L. Thein, Selection of housekeeping genes for gene expression studies in human reticulocytes using real-time PCR, BMC Mol Biol, vol.6, p.33, 2006.

H. Dweep, C. Sticht, P. Pandey, and N. Gretz, miRWalk-database: prediction of possible miRNA binding sites by "walking" the genes of three genomes, J Biomed Inform, vol.44, issue.5, pp.839-886, 2011.

M. Rehmsmeier, P. Steffen, M. Hochsmann, and R. Giegerich, Fast and effective prediction of microRNA/target duplexes, RNA, vol.10, issue.10, pp.1507-1524, 2004.

K. Dheda, J. F. Huggett, S. A. Bustin, M. A. Johnson, G. Rook et al., Validation of housekeeping genes for normalizing RNA expression in real-time PCR, Biotechniques, vol.37, issue.1, pp.118-127, 2004.

Y. J. Na, J. H. Sung, S. C. Lee, Y. J. Lee, Y. J. Choi et al., Comprehensive analysis of microRNA-mRNA co-expression in circadian rhythm, Exp Mol Med, vol.30, issue.9, pp.638-685, 2009.

Y. Guo, M. L. Pennell, D. K. Pearl, T. J. Knobloch, S. Fernandez et al., The choice of reference gene affects statistical efficiency in quantitative PCR data analysis, Biotechniques, vol.55, issue.4, pp.207-216, 2013.

A. R. Spevacek, J. T. Smilowitz, E. L. Chin, M. A. Underwood, J. B. German et al., Infant Maturity at Birth Reveals Minor Differences in the Maternal Milk Metabolome in the First Month of Lactation, The Journal of nutrition, p.210252, 2015.

E. Granot, K. Ishay-gigi, L. Malaach, and O. Flidel-rimon, Is there a difference in breast milk fatty acid composition of mothers of preterm and term infants?, The Journal of Maternal-Fetal & Neonatal Medicine, 2015.

C. L. Wagner, Amniotic fluid and human milk: a continuum of effect?, J Pediatr Gastroenterol Nutr, vol.34, issue.5, pp.513-517, 2002.

M. Alsaweed, A. R. Hepworth, C. Lefèvre, P. E. Hartmann, D. T. Geddes et al., Human Milk microRNA and Total RNA Differ Depending on Milk Fractionation, J Cell Biochem, 2015.

C. Lopez, Milk fat globules enveloped by their biological membrane: Unique colloidal assemblies with a specific composition and structure, Current Opinion in Colloid & Interface Science, vol.16, issue.5, pp.391-404, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01454181

P. D. Maningat, P. Sen, M. Rijnkels, A. L. Sunehag, D. L. Hadsell et al., Gene expression in the human mammary epithelium during lactation: the milk fat globule transcriptome, Physiol Genomics, vol.37, issue.1, pp.12-22, 2008.

A. Weber, A. Loui, F. Jochum, C. Bührer, and M. Obladen, Breast milk from mothers of very low birthweight infants: variability in fat and protein content, Acta Paediatr, vol.90, issue.7, pp.772-777, 2001.

T. Saarela, J. Kokkonen, and M. Koivisto, Macronutrient and energy contents of human milk fractions during the first six months of lactation, Acta Paediatr, vol.94, issue.9, pp.1176-81, 2005.

J. Bauer and J. Gerss, Longitudinal analysis of macronutrients and minerals in human milk produced by mothers of preterm infants, Clin Nutr, vol.30, issue.2, pp.215-235, 2011.

A. Balakrishnan, A. T. Stearns, P. J. Park, J. M. Dreyfuss, S. W. Ashley et al., MicroRNA mir-16 is anti-proliferative in enterocytes and exhibits diurnal rhythmicity in intestinal crypts, Exp Cell Res, vol.316, issue.20, pp.3512-3533, 2010.

D. C. Ribeiro, S. M. Hampton, L. Morgan, S. Deacon, and J. Arendt, Altered postprandial hormone and metabolic responses in a simulated shift work environment, J Endocrinol, vol.158, issue.3, pp.305-315, 1998.

K. N. Buchi, J. G. Moore, W. J. Hrushesky, R. B. Sothern, and N. H. Rubin, Circadian rhythm of cellular proliferation in the human rectal mucosa, Gastroenterology, vol.101, issue.2, pp.410-415, 1991.

G. Marra, M. Anti, A. Percesepe, F. Armelao, R. Ficarelli et al., Circadian variations of epithelial cell proliferation in human rectal crypts, Gastroenterology, vol.106, issue.4, pp.982-989, 1994.

B. Kaeffer, A. Legrand, T. Moyon, A. Frondas-chauty, H. Billard et al., Non-invasive exploration of neonatal gastric epithelium by using exfoliated epithelial cells, PLoS One, vol.6, issue.10, p.25562, 2011.
URL : https://hal.archives-ouvertes.fr/hal-02644365