Maningat Patricia D, Sen Partha, Rijnkels Monique, Sunehag Agneta L, Hadsell Darryl L, Bray Molly, Haymond Morey W
Department of Pediatrics-Nutrition, Baylor College of Medicine, Children's Nutrition Research Center, Houston, Texas 77030, USA.
Physiol Genomics. 2009 Mar 3;37(1):12-22. doi: 10.1152/physiolgenomics.90341.2008. Epub 2008 Nov 18.
The molecular physiology underlying human milk production is largely unknown because of limitations in obtaining tissue samples. Determining gene expression in normal lactating women would be a potential step toward understanding why some women struggle with or fail at breastfeeding their infants. Recently, we demonstrated the utility of RNA obtained from breast milk fat globule (MFG) to detect mammary epithelial cell (MEC)-specific gene expression. We used MFG RNA to determine the gene expression profile of human MEC during lactation. Microarray studies were performed using Human Ref-8 BeadChip arrays (Illumina). MFG RNA was collected every 3 h for 24 h from five healthy, exclusively breastfeeding women. We determined that 14,070 transcripts were expressed and represented the MFG transcriptome. According to GeneSpring GX 9, 156 ontology terms were enriched (corrected P < 0.05), which include cellular (n = 3,379 genes) and metabolic (n = 2,656) processes as the most significantly enriched biological process terms. The top networks and pathways were associated primarily with cellular activities most likely involved with milk synthesis. Multiple sampling over 24 h enabled us to demonstrate core circadian clock gene expression and the periodicity of 1,029 genes (7%) enriched for molecular functions involved in cell development, growth, proliferation, and cell morphology. In addition, we found that the MFG transcriptome was comparable to the metabolic gene expression profile described for the lactating mouse mammary gland. This paper is the first to describe the MFG transcriptome in sequential human samples over a 24 h period, providing valuable insights into gene expression in the human MEC.
由于获取组织样本存在局限性,人乳生成背后的分子生理学在很大程度上尚不为人所知。确定正常哺乳期女性的基因表达,将是朝着理解为何有些女性在母乳喂养婴儿时遭遇困难或失败迈出的潜在一步。最近,我们证明了从母乳脂肪球(MFG)获取的RNA可用于检测乳腺上皮细胞(MEC)特异性基因表达。我们使用MFG RNA来确定哺乳期人MEC的基因表达谱。使用Human Ref-8 BeadChip芯片(Illumina)进行微阵列研究。从五名健康的纯母乳喂养女性中,每3小时收集一次MFG RNA,共收集24小时。我们确定有14,070个转录本被表达,代表了MFG转录组。根据GeneSpring GX 9,156个本体术语得到富集(校正P<0.05),其中包括细胞(n = 3,379个基因)和代谢(n = 2,656个基因)过程,是最显著富集的生物学过程术语。顶级网络和通路主要与最有可能参与乳汁合成的细胞活动相关。24小时内的多次采样使我们能够证明核心昼夜节律时钟基因表达以及1,029个基因(7%)的周期性,这些基因富集于参与细胞发育、生长、增殖和细胞形态的分子功能。此外,我们发现MFG转录组与泌乳期小鼠乳腺所描述的代谢基因表达谱相当。本文首次描述了24小时内连续人类样本中的MFG转录组,为人类MEC中的基因表达提供了有价值的见解。