Allele-Specific Methylome and Transcriptome Analysis Reveals Widespread Imprinting in the Human Placenta  Hirotaka Hamada, Hiroaki Okae, Hidehiro Toh,

Slides:



Advertisements
Similar presentations
Volume 20, Issue 12, Pages (September 2017)
Advertisements

Genomic Patterns of Homozygosity in Worldwide Human Populations
Laila C. Schenkel, Charles Schwartz, Cindy Skinner, David I
Identification of imprinted genes and imprinted DMRs
MethySYBR, a Novel Quantitative PCR Assay for the Dual Analysis of DNA Methylation and CpG Methylation Density  Pang-Kuo Lo, Hanano Watanabe, Pi-Chun.
Embryonic imprinting perturbations do not originate from superovulation-induced defects in DNA methylation acquisition  Michelle M. Denomme, B.Sc., Liyue.
Volume 126, Issue 4, Pages (April 2004)
Michael Cullen, Stephen P
Reprogramming the Methylome: Erasing Memory and Creating Diversity
Qing Cheng, Cheng Cheng, Kristine R. Crews, Raul C
Assisted reproductive technologies do not increase risk of abnormal methylation of PEG1/MEST in human early pregnancy loss  Hai-Yan Zheng, M.D., Xiao-Yun.
Shiran Bar, Maya Schachter, Talia Eldar-Geva, Nissim Benvenisty 
Volume 9, Issue 1, Pages (July 2017)
Volume 146, Issue 6, Pages (September 2011)
Volume 9, Issue 3, Pages (September 2017)
Volume 47, Issue 6, Pages (September 2012)
Loss of imprinting at the 14q32 domain is associated with microRNA overexpression in acute promyelocytic leukemia by Floriana Manodoro, Jacek Marzec, Tracy.
Volume 1, Issue 6, Pages (December 2013)
Volume 133, Issue 6, Pages (December 2007)
Differential DNA Methylation as a Tool for Noninvasive Prenatal Diagnosis (NIPD) of X Chromosome Aneuploidies  Floriana Della Ragione, Paola Mastrovito,
Genome-wide Transcriptome Profiling Reveals the Functional Impact of Rare De Novo and Recurrent CNVs in Autism Spectrum Disorders  Rui Luo, Stephan J.
Volume 15, Issue 5, Pages (November 2014)
Ying-Ying Yu, Ph. D. , Cui-Xiang Sun, Ph. D. , Yin-Kun Liu, Ph. D
Volume 44, Issue 1, Pages (October 2011)
Assessing loss of imprint methylation in sperm from subfertile men using novel methylation polymerase chain reaction Luminex analysis  Akiko Sato, M.E.,
Methylation analysis of idiopathic recurrent spontaneous miscarriage cases reveals aberrant imprinting at H19 ICR in normozoospermic individuals  Mandar.
Gene-Expression Variation Within and Among Human Populations
Genome-wide sperm deoxyribonucleic acid methylation is altered in some men with abnormal chromatin packaging or poor in vitro fertilization embryogenesis 
Volume 6, Issue 1, Pages (January 2016)
Divergent Whole-Genome Methylation Maps of Human and Chimpanzee Brains Reveal Epigenetic Basis of Human Regulatory Evolution  Jia Zeng, Genevieve Konopka,
Towfique Raj, Manik Kuchroo, Joseph M
Integrative Multi-omic Analysis of Human Platelet eQTLs Reveals Alternative Start Site in Mitofusin 2  Lukas M. Simon, Edward S. Chen, Leonard C. Edelstein,
Volume 2, Issue 2, Pages (February 2008)
Biased Allelic Expression in Human Primary Fibroblast Single Cells
Shi-Ling Chen, M. D. , M. Sc. , Xiao-Yun Shi, M. D. , M. Sc
Defects in imprinting and genome-wide DNA methylation are not common in the in vitro fertilization population  Verity F. Oliver, Ph.D., Harriet L. Miles,
Imprinting at the SMPD1 Locus: Implications for Acid Sphingomyelinase–Deficient Niemann-Pick Disease  Calogera M. Simonaro, Jae-Ho Park, Efrat Eliyahu,
Hypermethylation of the CpG Island Near the G4C2 Repeat in ALS with a C9orf72 Expansion  Zhengrui Xi, Lorne Zinman, Danielle Moreno, Jennifer Schymick,
Doris Bachtrog, Nicholas R.T. Toda, Steven Lockton  Current Biology 
Volume 11, Issue 2, Pages (April 2015)
DNA and RNA References for qRT-PCR Assays in Exfoliated Cervical Cells
Epigenomic Profiling Reveals DNA-Methylation Changes Associated with Major Psychosis  Jonathan Mill, Thomas Tang, Zachary Kaminsky, Tarang Khare, Simin.
Shiran Bar, Maya Schachter, Talia Eldar-Geva, Nissim Benvenisty 
Shusuke Numata, Tianzhang Ye, Thomas M
CpG Methylation, a Parent-of-Origin Effect for Maternal-Biased Transmission of Congenital Myotonic Dystrophy  Lise Barbé, Stella Lanni, Arturo López-Castel,
Volume 13, Issue 3, Pages (September 2013)
Volume 22, Issue 19, Pages (October 2012)
A Distinct DNA-Methylation Boundary in the 5′- Upstream Sequence of the FMR1 Promoter Binds Nuclear Proteins and Is Lost in Fragile X Syndrome  Anja Naumann,
Imprinted Chromatin around DIRAS3 Regulates Alternative Splicing of GNG12-AS1, a Long Noncoding RNA  Malwina Niemczyk, Yoko Ito, Joanna Huddleston, Anna.
Elisha D. O. Roberson, Ying Liu, Caitriona Ryan, Cailin E
Volume 5, Issue 4, Pages (November 2013)
Volume 1, Issue 1, Pages (June 2013)
Volume 29, Issue 5, Pages (May 2016)
Volume 122, Issue 6, Pages (September 2005)
Reprogramming the Methylome: Erasing Memory and Creating Diversity
Volume 13, Issue 6, Pages (November 2015)
Volume 20, Issue 12, Pages (September 2017)
Volume 10, Issue 3, Pages (March 2017)
Volume 1, Issue 3, Pages (September 2007)
Volume 26, Issue 12, Pages e5 (March 2019)
Classification of Human Chromosome 21 Gene-Expression Variations in Down Syndrome: Impact on Disease Phenotypes  E. Aït Yahya-Graison, J. Aubert, L. Dauphinot,
Volume 78, Issue 6, Pages (September 2010)
Genomic imprinting Current Biology
Identification of TSIX, Encoding an RNA Antisense to Human XIST, Reveals Differences from its Murine Counterpart: Implications for X Inactivation  Barbara.
Genetic and Epigenetic Regulation of Human lincRNA Gene Expression
The HTT CAG-Expansion Mutation Determines Age at Death but Not Disease Duration in Huntington Disease  Jae Whan Keum, Aram Shin, Tammy Gillis, Jayalakshmi Srinidhi.
Symmetrical Dose-Dependent DNA-Methylation Profiles in Children with Deletion or Duplication of 7q11.23  Emma Strong, Darci T. Butcher, Rajat Singhania,
Programming and Inheritance of Parental DNA Methylomes in Mammals
Qing Cheng, Cheng Cheng, Kristine R. Crews, Raul C
Effect of Seed Coat Contamination on Imprinting Studies in Endosperm.
Presentation transcript:

Allele-Specific Methylome and Transcriptome Analysis Reveals Widespread Imprinting in the Human Placenta  Hirotaka Hamada, Hiroaki Okae, Hidehiro Toh, Hatsune Chiba, Hitoshi Hiura, Kenjiro Shirane, Tetsuya Sato, Mikita Suyama, Nobuo Yaegashi, Hiroyuki Sasaki, Takahiro Arima  The American Journal of Human Genetics  Volume 99, Issue 5, Pages 1045-1058 (November 2016) DOI: 10.1016/j.ajhg.2016.08.021 Copyright © 2016 American Society of Human Genetics Terms and Conditions

Figure 1 Genome-wide Profiling of Allelic DNA Methylation (A) Violin plots of methylation levels of windows hypermethylated (≥80%) or hypomethylated (≤20%) in one or both gametes (window size = 20 CpGs, step size = 10 CpGs). We compared the methylation profile of the CT cells (1st-CT #6 [♀]) with those of human gametes, blastocysts, cord blood cells (DRA003802),10 and ES cells (GSM706059).31 Oo-specific (Sp-specific) methylated windows are defined as windows hypermethylated in oocytes (sperm) and hypomethylated in sperm (oocytes). Thin and thick lines are boxplots, and white dots indicate the median. (B) Chromosomal distribution of maternally and paternally methylated windows in 1st-CT #6. The x and y axes show chromosome numbers and the maternal methylation level minus the paternal methylation level ([M − P] level), respectively. Windows showing ≥30% [M − P] levels and statistically significant allelic methylation differences (BH-corrected p < 0.05) are shown in red, and those with ≤ −30% [M − P] levels are in blue. The other windows are in gray. A histogram of the distribution of the [M − P] levels and the proportions of maternally and paternally methylated windows are also shown. (C) Boxplots of methylation levels of the maternal (M) and paternal (P) alleles of windows in 1st-CT #6. Boxes represent lower and upper quartiles, and horizontal lines indicate the median. Whiskers extend to the most extreme data points within 1.5 times the interquartile range from the boxes. The open circles indicate the data points outside the whiskers. Histograms of the distribution of the [M − P] levels are also shown (colored as defined in [B]). The American Journal of Human Genetics 2016 99, 1045-1058DOI: (10.1016/j.ajhg.2016.08.021) Copyright © 2016 American Society of Human Genetics Terms and Conditions

Figure 2 Identification of gDMRs (A) Allelic DNA methylation patterns of candidate DMRs (c-DMRs) obtained from ten 1st-CT samples. Boxplots of methylation levels of the maternal (M) and paternal (P) alleles, chromosomal distribution of mean [M − P] values, and histograms of the distribution of the [M − P] values are shown. In the chromosome maps, red circles indicate c-DMRs showing ≥30% [M − P] levels and statistically significant allelic methylation differences (BH-corrected p < 0.05). Similarly, blue circles indicate those with ≤ −30% [M − P] values. The other c-DMRs are shown as gray circles. Each x indicates a known gDMR. (B) Box plots of allelic DNA methylation levels of candidate gDMRs covered by both 1st-CT and 2nd/term-CT samples. (C) Classification of confirmed mDMRs according to their mean [M − P] values and location. The data of the 1st-CT samples were used. Known ubiquitous and placenta-specific mDMRs are also shown for comparison. (D) Variations in allelic methylation between samples. We calculated the SD value for each confirmed mDMR by using the data of the 1st-CT samples. Only mDMRs for which there were data from three or more samples were analyzed. Box plots with individual data points are shown. Known ubiquitous and placenta-specific mDMRs are also included for comparison. (E) Violin plots of methylation levels of confirmed mDMRs. 1st-CT #6 and #9 were analyzed by WGBS. Additional CT samples and stromal cells obtained from two first-trimester placentas were analyzed via targeted bisulfite sequencing. External WGBS data were used for human gametes, blastocysts, cord blood cells (DRA003802),10 a term placenta analyzed without a cell purification step (GSM1134682),7 and ES cells (GSM706059).31 Only confirmed mDMRs covered by all the samples were analyzed (n = 404). (F) DNA methylation patterns of a confirmed pDMR located downstream of GRHL1 (MIM: 609786). Each vertical bar represents a CpG site. The pDMR was hypomethylated in oocytes, hypermethylated in sperm, and paternally methylated in CT cells. The American Journal of Human Genetics 2016 99, 1045-1058DOI: (10.1016/j.ajhg.2016.08.021) Copyright © 2016 American Society of Human Genetics Terms and Conditions

Figure 3 Transcriptome-wide Screening of Imprinted Genes (A) Chromosomal distribution of candidate imprinted genes. The x axis and y axis show chromosome numbers and the maternal expression ratio ([M-expression] ratio), respectively. Genes showing >65% [M-expression] ratios and statistically significant allelic expression differences (BH-corrected p < 0.05) are shown in red, and those with <35% [M-expression] ratios are in blue. Each x indicates a known imprinted gene with an [M-expression] ratio > 65% or < 35%. The other genes are in gray. (B) Counts of candidate and known imprinted genes. (C) DNA methylation patterns of the PROSER2-AS1 DMR. [M-expression] ratios of associated genes are shown in parentheses. (D) The DNMT1 and ACCS imprinted gene clusters. Genes with [M-expression] ratios > 65% and < 35% are shown in red and blue, respectively. Genes with 35%–65% [M-expression] ratios are in gray. Genes without available allelic expression ratios are shown as white boxes without gene symbols. An asterisk indicates that it was unclear whether C11orf96 was really maternally expressed because the [contamination] rate of C11orf96 was not available. The American Journal of Human Genetics 2016 99, 1045-1058DOI: (10.1016/j.ajhg.2016.08.021) Copyright © 2016 American Society of Human Genetics Terms and Conditions

Figure 4 Allelic Regulation of X-Linked Genes and gDMRs (A) Boxplots of maternal expression ratios ([M-expression] ratios) of X-linked genes. (Left) 18 1st-CT samples were analyzed, and samples with >65% and <35% median [M-expression] ratios are shown in red and blue, respectively. (Right) Summary of allelic expression of X-linked and autosomal genes from the 18 1st-CT samples. X-linked genes had higher [M-expression] ratios than autosomal genes (p < 2.2 × 10−16, Mann Whitney U-test). (B) A chromosome map of [M-expression] ratios of X-linked genes (1st-CT #3). Genes with >65% [M-expression] ratios are shown in red, and those with 35%–65% [M-expression] ratios are in gray with gene symbols. The [M-expression] ratio of XIST was 14.4% (shown in blue). (C) DNA methylation patterns of the LOC389906-ds DMR. LOC389906 is an escape gene as shown in (B). (D) Bisulfite sequencing analysis of the LOC389906-ds DMR. Black and white circles indicate methylated and unmethylated residues, respectively. The percentages of methylated CpG sites are indicated. (E) DNA methylation patterns of the NUDT10 DMR. (F) Bisulfite sequencing analysis of the NUDT10 DMR. (G) A high correlation between NUDT10 expression levels and the median [M-expression] ratios of X-linked genes. 18 female and three male 1st-CT samples were analyzed. Pearson’s r was 0.93. The American Journal of Human Genetics 2016 99, 1045-1058DOI: (10.1016/j.ajhg.2016.08.021) Copyright © 2016 American Society of Human Genetics Terms and Conditions

Figure 5 Schematic Illustration of Allelic DNA Methylation Levels of Oocyte- and Sperm-Specific Methylated Regions during Human Development For oocyte-specific methylated regions, the maternal alleles maintain high methylation levels throughout human development. The paternal alleles are predominantly hypermethylated in the embryonic lineage after implantation, but the de novo methylation and/or methylation maintenance of the paternal alleles are incomplete in the placenta. Consequently, many oocyte-specific methylated regions maintain maternally biased DNA methylation in the placenta. In contrast, sperm-specific methylated regions are demethylated during preimplantation development, and very few regions maintain paternally biased DNA methylation after implantation. The American Journal of Human Genetics 2016 99, 1045-1058DOI: (10.1016/j.ajhg.2016.08.021) Copyright © 2016 American Society of Human Genetics Terms and Conditions