Genome-wide methylation profiling of maternal cell-free DNA using methylated DNA sequencing (MeD-seq) indicates a placental and immune-cell signature

被引:0
|
作者
van Vliet, Marjolein M. [1 ,2 ]
Boers, Ruben G. [2 ]
Boers, Joachim B. [2 ]
Schaffers, Olivier J. M. [1 ,2 ]
van Der Meeren, Lotte E. [3 ,4 ]
Steegers-Theunissen, Regine P. M. [1 ]
Gribnau, Joost [2 ]
Schoenmakers, Sam [1 ]
机构
[1] Erasmus MC, Dept Obstet & Gynaecol, Rotterdam, Netherlands
[2] Erasmus MC, Dept Dev Biol, Rotterdam, Netherlands
[3] Erasmus MC, Dept Pathol, Rotterdam, Netherlands
[4] Leiden Univ, Med Ctr, Dept Pathol, Leiden, Netherlands
关键词
cell-free DNA; epigenetics; placenta; pregnancy; NONINVASIVE-PRENATAL-DIAGNOSIS; HYPERMETHYLATED RASSF1A; PERIPHERAL-BLOOD; PLASMA; MARKERS; PREECLAMPSIA; PREGNANCIES;
D O I
10.1111/eci.14363
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Placental-originated cell-free DNA (cfDNA) provides unique opportunities to study (epi)genetic placental programming remotely, but studies investigating the cfDNA methylome are scarce and usually technologically challenging. Methylated DNA sequencing (MeD-seq) is well compatible with low cfDNA concentrations and has a high genome-wide coverage. We therefore aim to investigate the feasibility of genome-wide methylation profiling of first trimester maternal cfDNA using MeD-seq, by identifying placental-specific methylation marks in cfDNA. Methods: We collected cfDNA from nonpregnant controls (female n = 6, male n = 12) and pregnant women (n = 10), first trimester placentas (n = 10), and paired preconceptional and first trimester buffy coats (total n = 20). Differentially methylated regions (DMRs) were identified between pregnant and nonpregnant women. We investigated placental-specific markers in maternal cfDNA, including RASSF1 promoter and Y-chromosomal methylation, and studied overlap with placental and buffy coat DNA methylation. Results: We identified 436 DMRs between cfDNA from pregnant and nonpregnant women, which were validated using male cfDNA. RASSF1 promoter methylation was higher in maternal cfDNA (fold change 2.87, unpaired t-test p < .0001). Differential methylation of Y-chromosomal sequences could determine fetal sex. DMRs in maternal cfDNA showed large overlap with DNA methylation of these regions in placentas and buffy coats. Sixteen DMRs in maternal cfDNA were specifically found only in placentas. These novel potential placental-specific DMRs were more prominent than RASSF1. Conclusions: MeD-seq can detect (novel) genome-wide placental DNA methylation marks and determine fetal sex in maternal cfDNA. Our results indicate a placental and immune-cell contribution to the pregnancy-specific cfDNA methylation signature. This study supports future research into maternal cfDNA methylation.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Genome-Wide DNA Methylation Profiling in 40 Breast Cancer Cell Lines
    Han, Leng
    Zheng, Siyuan
    Sun, Shuying
    Huang, Tim H-M
    Zhao, Zhongming
    ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, 2010, 6215 : 277 - +
  • [32] Profiling of Circulating Free DNA Using Targeted and Genome-wide Sequencing in Patients with SCLC
    Mohan, Sumitra
    Foy, Victoria
    Ayub, Mahmood
    Leong, Hui Sun
    Schofield, Pieta
    Sahoo, Sudhakar
    Descamps, Tine
    Kilerci, Bedirhan
    Smith, Nigel K.
    Carter, Mathew
    Priest, Lynsey
    Zhou, Cong
    Carr, T. Hedley
    Miller, Crispin
    Faivre-Finn, Corinne
    Blackhall, Fiona
    Rothwell, Dominic G.
    Dive, Caroline
    Brady, Gerard
    JOURNAL OF THORACIC ONCOLOGY, 2020, 15 (02) : 216 - 230
  • [33] Genome-wide nucleosome occupancy and DNA methylation profiling of four human cell lines
    Statham, Aaron L.
    Taberlay, Phillippa C.
    Kelly, Theresa K.
    Jones, Peter A.
    Clark, Susan J.
    GENOMICS DATA, 2015, 3 : 94 - 96
  • [34] Genome-wide DNA methylation profiling of non-small cell lung carcinomas
    Rejane Hughes Carvalho
    Vanja Haberle
    Jun Hou
    Teus van Gent
    Supat Thongjuea
    Wilfred van IJcken
    Christel Kockx
    Rutger Brouwer
    Erikjan Rijkers
    Anieta Sieuwerts
    John Foekens
    Mirjam van Vroonhoven
    Joachim Aerts
    Frank Grosveld
    Boris Lenhard
    Sjaak Philipsen
    Epigenetics & Chromatin, 5
  • [35] Genome-wide DNA methylation profiling with MeDIP-seq using archived dried blood spots
    Nicklas H. Staunstrup
    Anna Starnawska
    Mette Nyegaard
    Lene Christiansen
    Anders L. Nielsen
    Anders Børglum
    Ole Mors
    Clinical Epigenetics, 2016, 8
  • [36] Genome-wide profiling of DNA methylation and gene expression in esophageal squamous cell carcinoma
    Chen, Chen
    Peng, Hao
    Huang, Xiaojie
    Zhao, Ming
    Li, Zhi
    Yin, Ni
    Wang, Xiang
    Yu, Fenglei
    Yin, Bangliang
    Yuan, Yunchang
    Lu, Qianjin
    ONCOTARGET, 2016, 7 (04) : 4507 - 4521
  • [37] Genome-wide DNA methylation profiling of non-small cell lung carcinomas
    Carvalho, Rejane Hughes
    Haberle, Vanja
    Hou, Jun
    van Gent, Teus
    Thongjuea, Supat
    van IJcken, Wilfred
    Kockx, Christel
    Brouwer, Rutger
    Rijkers, Erikjan
    Sieuwerts, Anieta
    Foekens, John
    van Vroonhoven, Mirjam
    Aerts, Joachim
    Grosveld, Frank
    Lenhard, Boris
    Philipsen, Sjaak
    EPIGENETICS & CHROMATIN, 2012, 5
  • [38] Genome-wide DNA methylation profiling with MeDIP-seq using archived dried blood spots
    Staunstrup, Nicklas H.
    Starnawska, Anna
    Nyegaard, Mette
    Christiansen, Lene
    Nielsen, Anders L.
    Borglum, Anders
    Mors, Ole
    CLINICAL EPIGENETICS, 2016, 8
  • [39] Genome-wide methylation profiling reveals differentially methylated genes in blood DNA of small-cell lung cancer patients
    He, Yanqi
    Wei, Calvin
    Sun, Zhifu
    Cunningham, Julie M.
    Wang, Liang
    Wei, Zong
    Yang, Ping
    PRECISION CLINICAL MEDICINE, 2022, 5 (03)
  • [40] Genome-wide cell-free DNA mutation integration for sensitive cancer detection
    Zviran, Asaf
    Hill, Steven T.
    Schulman, Rafael
    Shah, Minita
    Deochand, Sunil
    Ha, Gavin
    Reed, Sarah
    Rotem, Denisse
    Gydush, Greg
    Rhoades, Justin
    Huang, Kevin
    Liao, Will
    Maloney, Dillon
    Omans, Nathan
    Malbari, Murtaza
    Spinelli, Cathy F.
    Kazancioglu, Selena
    Robine, Nicolas
    Adalsteinsson, Viktor
    Houck-Loomis, Brian
    Altorki, Nasser
    Landau, Dan A.
    CANCER RESEARCH, 2018, 78 (13)