Shiran Bar, Maya Schachter, Talia Eldar-Geva, Nissim Benvenisty 

Slides:



Advertisements
Similar presentations
Volume 7, Issue 5, Pages (November 2016)
Advertisements

Volume 20, Issue 12, Pages (September 2017)
Virtual Karyotyping Reveals Greater Chromosomal Stability in Neural Cells Derived by Transdifferentiation than Those from Stem Cells  Uri Weissbein, Uri.
Volume 21, Issue 1, Pages e6 (July 2017)
Volume 20, Issue 13, Pages (September 2017)
Volume 11, Issue 11, Pages (June 2015)
Volume 11, Issue 8, Pages (May 2015)
Volume 7, Issue 4, Pages (October 2010)
Volume 17, Issue 6, Pages (December 2015)
Volume 11, Issue 2, Pages (August 2012)
Discovery and Characterization of piRNAs in the Human Fetal Ovary
Volume 23, Issue 7, Pages (May 2018)
Transient N-6-Methyladenosine Transcriptome Sequencing Reveals a Regulatory Role of m6A in Splicing Efficiency  Annita Louloupi, Evgenia Ntini, Thomas.
Volume 10, Issue 5, Pages (May 2018)
Volume 23, Issue 11, Pages (June 2018)
Volume 1, Issue 6, Pages (December 2013)
Volume 15, Issue 5, Pages (November 2014)
Transcriptional Landscape of Cardiomyocyte Maturation
Volume 9, Issue 4, Pages (October 2017)
Adrien Le Thomas, Georgi K. Marinov, Alexei A. Aravin  Cell Reports 
Volume 7, Issue 1, Pages (April 2014)
Volume 17, Issue 4, Pages (October 2015)
Volume 20, Issue 4, Pages e6 (April 2017)
Volume 21, Issue 5, Pages e7 (November 2017)
Allele-Specific Methylome and Transcriptome Analysis Reveals Widespread Imprinting in the Human Placenta  Hirotaka Hamada, Hiroaki Okae, Hidehiro Toh,
Volume 7, Issue 5, Pages (November 2016)
Volume 6, Issue 1, Pages (January 2016)
Volume 22, Issue 3, Pages (January 2018)
Volume 24, Issue 4, Pages (July 2018)
Volume 4, Issue 6, Pages (September 2013)
TED-Seq Identifies the Dynamics of Poly(A) Length during ER Stress
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 20, Issue 4, Pages e6 (April 2017)
Volume 11, Issue 3, Pages (April 2015)
Volume 39, Issue 4, Pages (November 2016)
Volume 2, Issue 1, Pages (January 2014)
Volume 22, Issue 3, Pages (January 2018)
Volume 9, Issue 2, Pages (August 2017)
Figure 1. Nanopore methylation calls are consistent with expected results and established technologies. (A) Metaplot of ... Figure 1. Nanopore methylation.
Volume 11, Issue 2, Pages (April 2015)
Volume 10, Issue 5, Pages (May 2012)
Molecular Convergence of Neurodevelopmental Disorders
Volume 7, Issue 4, Pages (October 2016)
Wei Jiang, Yuting Liu, Rui Liu, Kun Zhang, Yi Zhang  Cell Reports 
Shiran Bar, Maya Schachter, Talia Eldar-Geva, Nissim Benvenisty 
Volume 11, Issue 1, Pages (July 2012)
A Small RNA Pathway Mediates Allelic Dosage in Endosperm
Volume 23, Issue 10, Pages (June 2018)
Volume 1, Issue 1, Pages (June 2013)
Volume 132, Issue 6, Pages (March 2008)
Alterations in mRNA 3′ UTR Isoform Abundance Accompany Gene Expression Changes in Human Huntington’s Disease Brains  Lindsay Romo, Ami Ashar-Patel, Edith.
Volume 15, Issue 1, Pages (April 2016)
Volume 11, Issue 11, Pages (June 2015)
Volume 10, Issue 1, Pages (January 2018)
Volume 20, Issue 7, Pages (August 2017)
Volume 13, Issue 6, Pages (November 2015)
Epigenetic Memory and Preferential Lineage-Specific Differentiation in Induced Pluripotent Stem Cells Derived from Human Pancreatic Islet Beta Cells 
Volume 20, Issue 12, Pages (September 2017)
Volume 7, Issue 2, Pages (August 2010)
Volume 10, Issue 3, Pages (March 2017)
Volume 7, Issue 1, Pages (July 2016)
Volume 15, Issue 12, Pages (June 2016)
Volume 1, Issue 3, Pages (September 2007)
Virtual Karyotyping Reveals Greater Chromosomal Stability in Neural Cells Derived by Transdifferentiation than Those from Stem Cells  Uri Weissbein, Uri.
Volume 17, Issue 3, Pages (October 2016)
Volume 28, Issue 4, Pages (February 2014)
Volume 6, Issue 3, Pages (March 2016)
Genome-wide Functional Analysis Reveals Factors Needed at the Transition Steps of Induced Reprogramming  Chao-Shun Yang, Kung-Yen Chang, Tariq M. Rana 
Volume 14, Issue 6, Pages (February 2016)
Volume 27, Issue 7, Pages e4 (May 2019)
Presentation transcript:

Large-Scale Analysis of Loss of Imprinting in Human Pluripotent Stem Cells  Shiran Bar, Maya Schachter, Talia Eldar-Geva, Nissim Benvenisty  Cell Reports  Volume 19, Issue 5, Pages 957-968 (May 2017) DOI: 10.1016/j.celrep.2017.04.020 Copyright © 2017 The Author(s) Terms and Conditions

Cell Reports 2017 19, 957-968DOI: (10.1016/j.celrep.2017.04.020) Copyright © 2017 The Author(s) Terms and Conditions

Figure 1 Large-Scale Analysis for Loss of Imprinting and Correlation with DNA Methylation Changes (A) Schematic diagram of the pipeline and analysis developed for the determination of loss-of-imprinting (LOI). SNPs and global gene expression values (FPKM) were extracted from RNA-seq data. For each sample, a gene was categorized as either expressed or not expressed. The expressed genes were further examined for biallelic expression to determine LOI. In most analyses, the genetic background was unknown, therefore as default we classified samples with no biallelic score as having no apparent imprinting aberrations. (B) Full analysis of LOI in PSCs. Top: heatmap of biallelic expression including the complete list of imprinted and control pluripotent genes in 271 hPSC samples. Genes are arranged according to their genomic locations. Bottom: heatmap analysis of the expressed single isoform imprinted genes in 188 unique hPSC samples (merging replicates). Colored dots represent the parental origin for the gene’s DMR (red, maternal; blue, paternal; purple, both; gray, unknown). ES, embryonic stem cells; IPS, induced pluripotent stem cells; NT, somatic cell nuclear transfer derived embryonic stem cells; NE, not expressed (FPKM < 0.2). (C) Correlation between methylation levels of imprinted germline differentially methylated region (gDMR) and biallelic expression for the gene PSIMCT-1. A schematic representation of the gene and the gDMR region is included in the top box. Maternal allele is marked in red and paternal allele in blue. Black circle represents the methylated allele. The average gDMR methylation level (y axis) was plotted as a function of the SNP score (x axis) along with the linear R2 value. (D) Same as (C) for the gene H19; dot color represents a single study. Cell Reports 2017 19, 957-968DOI: (10.1016/j.celrep.2017.04.020) Copyright © 2017 The Author(s) Terms and Conditions

Figure 2 LOI Comparison of Different PSCs and Analysis of Parental Cell Lines (A) Left: Overlapping of the best fitted trend lines for the distribution of the number of biallelically expressed (aberrant) imprinted genes in ESCs and reprogrammed PSCs. Right: boxplot diagram showing the number of biallelically expressed (aberrant) imprinted genes (p = 2 × 10−6, one-tailed equal-variance t test) for ESCs and reprogrammed PSCs. (B) Schematic diagram of imprinting aberrations in three fibroblast parental cell lines (left) and their reprogrammed derivatives (IPS, induced pluripotent stem cells; SCNT-ES, somatic cell nuclear transfer embryonic stem cells; right). The arrangement of the PSC samples reflects the logical cloning process for establishing the loss of imprinting landscape from the parental cell line. X marks the number of samples having the same allelic expression pattern. (C) Correlation between the number of biallelically expressed (aberrant) imprinted genes (y axis) and passage number (x axis) in informative reprogrammed PSCs. Marked in red box are samples with low passage and high (≥2) number of aberrant genes. Cell Reports 2017 19, 957-968DOI: (10.1016/j.celrep.2017.04.020) Copyright © 2017 The Author(s) Terms and Conditions

Figure 3 LOI Differences between Imprinted Genes Exhibit a Higher Sensitivity in Paternal DMRs (A) Left: Classification of imprinted genes according to the percentage of hPSC samples expressing them biallelically. Right: Detailed analysis of LOI level in imprinted genes. Shown are percentages of PSCs biallelically expressing every gene. (B) Average LOI differences between genes with paternal and maternal gDMRs (p = 0.04, one-tailed equal-variance t test). Error bars indicate SD. (C) Comparison of LOI in imprinted genes controlled by gDMRs from different parental origins either in ESCs (purple) or in reprogrammed PSCs (green). Shown is the percentage of aberrant samples biallelically expressing imprinted genes governed by a paternal iDMR (blue background), maternal iDMR (red background), or both. NA, genes with no known DMR. (D) Comparison of the difference in ESCs and reprogrammed PSCs LOI between genes with paternal and maternal gDMRs (p = 0.003, one-tailed equal-variance t test). Error bars indicate SD. Cell Reports 2017 19, 957-968DOI: (10.1016/j.celrep.2017.04.020) Copyright © 2017 The Author(s) Terms and Conditions

Figure 4 Effect of LOI on Expression Level and Differentiation Analysis (A) Volcano plot displaying the fold change of expression (FPKM) for biallelic (expressing SNP) and non-biallelic samples (x axis) versus the p value (y axis calculated by one-tailed equal-variance t test). (B) Fold change of expression level for biallelic and non-biallelic samples for significant genes from (A). Blue line represents the expected 2-fold upregulation. (C) Percentage of cells differentiated to neural lineage which biallelically expressed each imprinted gene. (D) Schematic diagram of imprinting aberrations in ES parental cell lines (left) and their differentiated beta cell lineage derivatives (right), according to the differentiation time point. X marks the number of samples having the same allelic expression pattern and differentiation time point. (E) Same as (D) for neural differentiation. Cell Reports 2017 19, 957-968DOI: (10.1016/j.celrep.2017.04.020) Copyright © 2017 The Author(s) Terms and Conditions