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
  • [41] Noninvasive prenatal diagnosis by genome-wide haplotyping of cell-free plasma DNA
    Che, Huiwen
    Villela, Darine
    Dimitriadou, Eftychia
    Melotte, Cindy
    Brison, Nathalie
    Neofytou, Maria
    Van den Bogaert, Kris
    Tsuiko, Olga
    Devriendt, Koen
    Legius, Eric
    Esteki, Masoud Zamani
    Voet, Thierry
    Vermeesch, Joris Robert
    GENETICS IN MEDICINE, 2020, 22 (05) : 962 - 973
  • [42] A robust second-generation genome-wide test for fetal aneuploidy based on shotgun sequencing cell-free DNA in maternal blood
    Guex, N.
    Iseli, C.
    Syngelaki, A.
    Deluen, C.
    Pescia, G.
    Nicolaides, K. H.
    Xenarios, I.
    Conrad, B.
    PRENATAL DIAGNOSIS, 2013, 33 (07) : 707 - 710
  • [43] Assessing CAR T-Cell Therapy Response Using Genome-Wide Sequencing of Cell-Free DNA in Patients With B-Cell Lymphomas
    Goodman, Aaron M.
    Holden, Kimberly A.
    Jeong, Ah-Reum
    Kim, Lisa
    Fitzgerald, Kerry D.
    Almasri, Eyad
    McLennan, Graham
    Eisenberg, Marcia
    Jahromi, Amin H.
    Hoh, Carl
    Hurley, Michael
    Mulroney, Carolyn
    Tzachanis, Dimitrios
    Ball, Edward D.
    Jensen, Taylor J.
    Kurzrock, Razelle
    TRANSPLANTATION AND CELLULAR THERAPY, 2022, 28 (01): : 30.e1 - 30.e7
  • [44] Genome-wide promoter methylation profile of human testis and epididymis: identified from cell-free seminal DNA
    Wu, Chunlin
    Ding, Xiaofang
    Li, Honggang
    Zhu, Changhong
    Xiong, Chengliang
    BMC GENOMICS, 2013, 14
  • [45] Genome-wide promoter methylation profile of human testis and epididymis: identified from cell-free seminal DNA
    Chunlin Wu
    Xiaofang Ding
    Honggang Li
    Changhong Zhu
    Chengliang Xiong
    BMC Genomics, 14
  • [46] Genome-Wide Cell-Free DNA Methylation Analysis Reveals Significant Recipient Tissue Injury in Allograft Rejection
    Andargie, T. E.
    Tunc, I.
    Singh, K.
    Seifuddin, F.
    Kong, H.
    Pirooznia, M.
    Jang, M.
    Agbor-Enoh, S.
    JOURNAL OF HEART AND LUNG TRANSPLANTATION, 2022, 41 (04): : S301 - S301
  • [47] Genome-wide cell-free DNA (cfDNA) methylation signatures and effect on tissue of origin (TOO) performance.
    Liu, Minetta C.
    Jamshidi, Arash
    Venn, Oliver
    Fields, Alexander P.
    Maher, M. Cyrus
    Cann, Gordon
    Amini, Hamed
    Gross, Samuel
    Bredno, Joerg
    Miller, Meredith
    Schellenberger, Jan
    Kurtzman, Kathryn N.
    Fung, Eric T.
    Maddala, Tara
    Oxnard, Geoffrey R.
    Klein, Eric A.
    Spigel, David R.
    Hartman, Anne-Renee
    Aravanis, Alex
    Seiden, Michael
    JOURNAL OF CLINICAL ONCOLOGY, 2019, 37 (15)
  • [48] Machine learning-based detection of immune-mediated diseases from genome-wide cell-free DNA sequencing datasets
    Che, Huiwen
    Jatsenko, Tatjana
    Lannoo, Lore
    Stanley, Kate
    Dehaspe, Luc
    Van Coillie, Leen
    Brison, Nathalie
    Parijs, Ilse
    Van Den Bogaert, Kris
    Devriendt, Koenraad
    Severi, Sabien
    De langhe, Ellen
    Vermeire, Severine
    Verstockt, Bram
    Van Calsteren, Kristel
    Vermeesch, Joris
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2023, 31 : 45 - 46
  • [49] Machine learning-based detection of immune-mediated diseases from genome-wide cell-free DNA sequencing datasets
    Che, Huiwen
    Jatsenko, Tatjana
    Lannoo, Lore
    Stanley, Kate
    Dehaspe, Luc
    Vancoillie, Leen
    Brison, Nathalie
    Parijs, Ilse
    Van den Bogaert, Kris
    Devriendt, Koenraad
    Severi, Sabien
    De Langhe, Ellen
    Vermeire, Severine
    Verstockt, Bram
    Van Calsteren, Kristel
    Vermeesch, Joris Robert
    NPJ GENOMIC MEDICINE, 2022, 7 (01)
  • [50] Machine learning-based detection of immune-mediated diseases from genome-wide cell-free DNA sequencing datasets
    Huiwen Che
    Tatjana Jatsenko
    Lore Lannoo
    Kate Stanley
    Luc Dehaspe
    Leen Vancoillie
    Nathalie Brison
    Ilse Parijs
    Kris Van Den Bogaert
    Koenraad Devriendt
    Sabien Severi
    Ellen De Langhe
    Severine Vermeire
    Bram Verstockt
    Kristel Van Calsteren
    Joris Robert Vermeesch
    npj Genomic Medicine, 7