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本文引用的文献

1
Network analyses of differentially expressed proteins in amniotic fluid supernatant associated with abnormal human karyotypes.与人类异常核型相关的羊水上清液中差异表达蛋白质的网络分析。
Fertil Steril. 2009 Jul;92(1):96-107. doi: 10.1016/j.fertnstert.2008.05.038. Epub 2008 Dec 23.
2
Proteomic profiling of amniotic fluid in preterm labor using two-dimensional liquid separation and mass spectrometry.使用二维液相分离和质谱法对早产羊水中的蛋白质组进行分析。
J Matern Fetal Neonatal Med. 2008 Oct;21(10):697-713. doi: 10.1080/14767050802053289.
3
The evolving role of semaphorins and plexins in the immune system: Plexin-A1 regulation of dendritic cell function.信号素和丛状蛋白在免疫系统中的演变作用:丛状蛋白A1对树突状细胞功能的调节
Immunol Res. 2008;41(3):217-22. doi: 10.1007/s12026-008-8026-0.
4
Identification of proteomic biomarkers of preeclampsia in amniotic fluid using SELDI-TOF mass spectrometry.使用表面增强激光解吸电离飞行时间质谱法鉴定羊水子痫前期的蛋白质组学生物标志物。
Reprod Sci. 2008 May;15(5):457-68. doi: 10.1177/1933719108316909.
5
Detection of new screening markers for fetal aneuploidies in maternal plasma: a proteomic approach.母血浆中胎儿非整倍体新筛查标志物的检测:蛋白质组学方法
Methods Mol Biol. 2008;444:311-26. doi: 10.1007/978-1-59745-066-9_25.
6
Proteomic analysis of amniotic fluid in pregnancies with Turner syndrome fetuses.Turner综合征胎儿妊娠中羊水的蛋白质组学分析。
J Proteome Res. 2008 May;7(5):1862-6. doi: 10.1021/pr700588u. Epub 2008 Mar 26.
7
Using proteomic analysis of the human amniotic fluid to identify histologic chorioamnionitis.利用人羊水的蛋白质组学分析来识别组织学绒毛膜羊膜炎。
Obstet Gynecol. 2008 Feb;111(2 Pt 1):403-12. doi: 10.1097/AOG.0b013e31816102aa.
8
Altered intracellular and extracellular signaling leads to impaired T-cell functions in ADA-SCID patients.细胞内和细胞外信号改变导致腺苷脱氨酶严重联合免疫缺陷(ADA-SCID)患者的T细胞功能受损。
Blood. 2008 Apr 15;111(8):4209-19. doi: 10.1182/blood-2007-05-092429. Epub 2008 Jan 24.
9
Gene expression analysis in pregnant women and their infants identifies unique fetal biomarkers that circulate in maternal blood.对孕妇及其婴儿进行基因表达分析,可识别出在母体血液中循环的独特胎儿生物标志物。
J Clin Invest. 2007 Oct;117(10):3007-19. doi: 10.1172/JCI29959.
10
First- and second-trimester evaluation of risk for Down syndrome.孕早期和孕中期唐氏综合征风险评估
Obstet Gynecol. 2007 Jul;110(1):10-7. doi: 10.1097/01.AOG.0000263470.89007.e3.

高通量发现和鉴定孕妇血液中的胎儿蛋白转运。

High-throughput discovery and characterization of fetal protein trafficking in the blood of pregnant women.

机构信息

Floating Hospital for Children at Tufts Medical Center, Department of Pediatrics, Division of Newborn Medicine 800 Washington Street, Box 44 Boston, MA 02111.

出版信息

Proteomics Clin Appl. 2009 Dec;3(12):1389-96. doi: 10.1002/prca.200900109.

DOI:10.1002/prca.200900109
PMID:20186258
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2825712/
Abstract

Although the measurement of fetal proteins in maternal serum is part of standard prenatal screening for aneuploidy and neural tube defects, attempts to better understand the extent of feto-maternal protein trafficking and its clinical and biological significance have been hindered by the presence of abundant maternal proteins. The objective of this study was to circumvent maternal protein interference by using a computational predictive approach for the development of a noninvasive, comprehensive, protein network analysis of the developing fetus in maternal whole blood. From a set of 157 previously identified fetal gene transcripts, 46 were classified into known protein networks, and 222 downstream proteins were predicted. Statistically significantly over-represented pathways were diverse and included T-cell biology, neurodevelopment and cancer biology. Western blot analyses validated the computational predictive model and confirmed the presence of specific downstream fetal proteins in the whole blood of pregnant women and their newborns, with absence or reduced detection of the protein in the maternal postpartum samples. This work demonstrates that extensive feto-maternal protein trafficking occurs during pregnancy, and can be predicted and verified to develop novel noninvasive biomarkers. This study raises important questions regarding the biological effects of fetal proteins on the pregnant woman.

摘要

尽管胎儿蛋白在母体血清中的测量是用于检测非整倍体和神经管缺陷的标准产前筛查的一部分,但由于存在丰富的母体蛋白,尝试更好地理解胎母蛋白转运的程度及其临床和生物学意义一直受到阻碍。本研究的目的是通过使用计算预测方法来规避母体蛋白的干扰,从而对母体全血中的胎儿进行非侵入性、全面的蛋白质网络分析。从之前确定的 157 个胎儿基因转录本中,将 46 个分类为已知的蛋白质网络,并预测了 222 个下游蛋白质。统计上显著过表达的途径多种多样,包括 T 细胞生物学、神经发育和癌症生物学。Western blot 分析验证了计算预测模型,并证实了特定的下游胎儿蛋白存在于孕妇及其新生儿的全血中,而在产后的母体样本中则检测不到或减少了该蛋白。这项工作表明,在怀孕期间发生了广泛的胎母蛋白转运,并且可以进行预测和验证,以开发新的非侵入性生物标志物。本研究提出了关于胎儿蛋白对孕妇的生物学影响的重要问题。