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  1. 2019
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  2. 2019
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  3. Figure 5—figure supplement 2. AtCMT3-induced genic CG methylation is maintained at higher levels than background following loss of AtCMT3 expression. ; (A) Comparison of the % methylation of CG sites that were not found to be methylated in the non-transgenic wild type (Shandong ecotype) parent of AtCMT3 transgenic lines. Shown is the % CG methylation calculated in each lineage across hyper CHG DMRs identified in AtCMT3-L2T4 that overlap CHG-gain genes identified in AtCMT3-L2T4 (black bars; same regions assessed in Figure 5B) compared to the average % CG methylation of an equal amount of sequence space extracted from five randomly chosen sets of unmethylated genes that did not gain CHG methylation in AtCMT3-L2T4. The number of genes chosen in each set was equal to the number of AtCMT3-L2T4 CHG gain genes. Note that AtCMT3-L2T5 and T6 exhibited silencing of the AtCMT3 transgene, yet still maintained CG methylation levels higher than that detected on unmethylated genes. Methylation over the same regions was also assessed in additional, non-transgenic E. salsugineum accession (Yukon) to demonstrate that the levels of CG methylation over CHG gain genes in transgenic lines were unlikely to have occurred independently of AtCMT3. (B) Comparison of the % methylation of CG sites that were not found to be methylated in the non-transgenic wild type (Shandong ecotype) parent of AtCMT3 transgenic lines. Shown is the % CG methylation calculated in each lineage across hyper CHG DMRs identified in AtCMT3-L1T5 that overlap CHG-gain genes identified in AtCMT3-L1T5 (black bars; same regions assessed in Figure 5—figure supplement 1E) compared to the average % CG methylation of an equal amount of sequence space extracted from five randomly chosen sets of unmethylated genes that did not gain CHG methylation in AtCMT3-L1T5. The number of genes chosen in each set was equal to the number of AtCMT3-L1T5 CHG gain genes. AtCMT3-L1T5 was crossed to wild type (non-transgenic) and three F2 progeny were assessed: one progeny that retained the transgene (L1T5XWT F2 (+CMT3)) and two where the transgene segregated out (L1T5XWT F2 (-CMT3) #1 and #2). Note that the F2 progeny where the transgene segregated out still maintained CG methylation levels higher than that detected on unmethylated genes. As in (A), methylation over the same regions was also assessed in additional, non-transgenic E. salsugineum accession (Yukon) to demonstrate that the levels of CG methylation over CHG gain genes in transgenic lines were unlikely to have occurred independently of AtCMT3. Error bars are ± one standard deviation of the mean.
    2019
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  4. 2019
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  5. 2019
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  6. Figure 1. ALN imprinting necessitates non-canonical RdDM. ; (A) Sanger sequencing chromatograms at SNPs of ALN. WT plants (Cvi) were pollinated with WT (Col and Ws) and mutant pollen as indicated. RNA was extracted from endosperm of F1 seeds and subjected to RT-PCR followed by Sanger sequencing. Nucleotides at SNP sites are highlighted in red: ‘C’ originates from Cvi and ‘T’ originates from Ws and Col. Representative results are shown from experiments repeated at least 5 times for each genotype. (B) DNA methylation on the ALN 5’ and 3’ flanking regions in endosperm of mature seed. Black box arrows and yellow box arrows show genes and TEs respectively. Blue lines show regions where DNA methylation was studied. Red line (300 bp) shows ALN’s highly methylated 5’ upstream region (referred as ‘POGO region’). All remaining methylation data shown in this figure only correspond to the 300 bp POGO region. Red, blue and green vertical lines represent CG, CHG, and CHH methylation levels, respectively. (C) Percentages of CHH methylation levels corresponding to the POGO region in different RdDM mutants (Materials and methods). drm1drm2 is in Ws background; ago4ago6 is generated after crossing ago4 with ago6 in Ler and C24 background, respectively; all other mutants are in Col-0 background. Percentages of DNA methylation at CG and CHG sites are shown in Figure 1—figure supplement 1. (D) DNA methylation levels in maternal and paternal alleles. DNA extracted from endosperm and embryo of F1 seeds obtained after reciprocally crossing Cvi and Col WT plants was analyzed by sodium bisulfite sequencing. SNPs were used to distinguish maternal and paternal alleles. Filled and open circles represent methylated and unmethylated cytosines, respectively. (E) Percentage of DNA methylation in the POGO region in different tissues. (F) Percentage of DNA methylation in the POGO region in female and male gametes. The data were extracted from published whole genomic DNA methylation data of female (Park et al., 2016) and male (Ibarra et al., 2012) gametes.
    2019
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  7. 2019
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  8. Figure 5—figure supplement 1. CHG methylation over gene bodies is associated with gains in non-CHG methylation. ; (A) Heatmap of % methylation levels across CHG hyper-DMRs overlapping the CHG-gain genes in AtCMT3-L2T4 divided into all 16 possible trinucleotide contexts. (B–C) Assessment of the relationship of genic cytosine methylation to AtCMT3 expression across AtCMT3-L2 generations. Line plots show the number of methylated cytosines in (B) CWG vs. CCG contexts and (C) CWA vs. other CHH contexts relative to AtCMT3-L2T4 across CHG DMRs overlapping CHG-gain genes defined in AtCMT3-L2T4. Bar plots show the expression of the AtCMT3 transgene. See also Figure 5A–B. (D) Assessment of the relationship of genic cytosine methylation to AtCMT3 expression across AtCMT3-L1 generations. Line plots show the number of methylated cytosines in each context relative to AtCMT3-L1T4 across CHG DMRs overlapping CHG-gain genes identified in AtCMT3-L1T4. Bar plots show the expression of the AtCMT3 transgene. (E–F) Assessment of the number of methylated cytosines relative to AtCMT3-L1T5 across hyper CHG DMRs identified in AtCMT3-L1T5 that overlap CHG-gain genes identified in AtCMT3-L1T5 (E) or repeats or intergenic regions (F). AtCMT3-L1T5 was crossed to wild type (non-transgenic) and three F2 progeny were assessed: one progeny that retained the transgene (L1T5XWT F2 (+CMT3)) and two where the transgene segregated out (L1T5XWT F2 (-CMT3) #1 and #2). The gel image below the line plot is the result of PCR conducted on genomic DNA from each line with primers to detect the AtCMT3 transgene.
    2019
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  9. 2019
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  10. Figure 2—figure supplement 1. Quantitative description of the chromatin environment at EIN2 in ein6-1 een-1 mutants. ; (A) Protein domain structure of EEN as well as a multiple amino acid sequence alignment of EEN, IES6 and human IES6 (hIES6). The YL1-C domain is indicated in blue. (B) Aggregated H3K27me3 profile of 2369 Group I genes shows H3K27me3 occupancy from 1 kb upstream to 2 kb downstream of the TSS in Ler, ein6-1, een-1 and ein6-1 een-1 seedlings. (C) Genome browser screenshot shows differential enrichment of H3K27me3 at an example Group I gene and Group II gene. To ensure an accurate comparison of individual chromatin features between genotypes, the tracks were normalized to the respective sequencing depth. (D) H3K27me3 occupancy of 54 Group II genes in Ler, ein6-1, een-1 and ein6-1 een-1 seedlings is shown as an aggregated H3K27me3 profile from 1 kb upstream to 2 kb downstream of the TSS. The H3K27me3 occupancy was calculated as the ratio between the two respective merged ChIP replicates and the two merged Ler IgG control replicates. (E) Quantification of H3K27me3 levels in the 5’UTR intron, gene body and 3’UTR of the EIN2 gene are shown. The H3K27me3 occupancy in these regions was calculated as the ratio between the respective merged ChIP-seq samples and merged Ler IgG control samples. (F) Spearman’s correlation plot shows correlation of read coverages between the antibody validation H2A.Z datasets from this study (Col-0, pie1-1, Col-0 HTA11:HTA11-GFP (αH2A.Z) and Col-0 HTA11:HTA11-GFP (αGFP)) and three publicly available H2A.Z ChIP-seq datasets (Carter et al., 2018; Wollmann et al., 2017; Coleman-Derr and Zilberman, 2012). Clustering is determined by the degree of correlation. (G) Heatmap shows the H2A.Z occupancy at all Arabidopsis genes in the indicated genotypes. Levels of H2A.Z from 1 kb upstream to 2 kb downstream of the TSS are shown. (H) Genome browser screenshot shows differential enrichment of H2A.Z in Col-0, pie1-1 and Col-0 HTA11:HTA11-GFP seedlings. Moreover, H2A.Z enrichment is also shown for three publicly available H2A.Z ChIP-seq datasets (Carter et al., 2018; Wollmann et al., 2017; Coleman-Derr and Zilberman, 2012). Genetic background and used antibodies are indicated. The Col-0 IgG track serves as a control and the Ler 5mC track indicates methylated cytosines (CG in yellow, CHG in blue, CGG in pink). The shape difference of H2A.Z domains in the Coleman-Derr and Zilberman, 2012 dataset can be explained by the MNase treatment of the chromatin. (I) Levels of H2A.Z in the 5’UTR intron, gene body and 3’UTR of EIN2 in Ler, ein6-1, een-1 and ein6-1 een-1 seedlings are shown. The H2A.Z occupancy in these regions was calculated as the ratio between the respective merged ChIP-seq samples and merged Ler IgG control samples.
    2019
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  11. Figure 2. A repressive chromatin environment at EIN2 down-regulates its expression. ; (A) Genome browser screenshot visualizes the levels of the depicted chromatin features at the EIN2 gene in untreated 3-day-old etiolated Ler, ein6-1, een-1 and ein6-1 een-1 seedlings. Occupancy of H3K27me3, H2A.Z, H3K4me3 and H2Aub was determined with ChIP-seq, mRNA expression was measured with RNA-seq and levels of methylated cytosines (CG in yellow, CHG in blue, CGG in pink) were determined with MethylC-seq. To ensure an accurate comparison of individual chromatin features between genotypes, the tracks were normalized to the respective sequencing depth. Normalization was separately done for each chromatin feature. Biological replicate 1 of the H3K27me3 and H2A.Z ChIP-seq datasets is shown. (B) Venn diagram illustrates the overlap between genes that show a significant increase of H3K27me3 (2-fold enrichment over ein6-1), H2AZ (2-fold enrichment over een-1) and H2Aub (2-fold enrichment over Ler) in ein6-1 een-1 mutants and also a significant decrease of H3K4me3 (1.5-fold enrichment in Ler over ein6-1 een-1). In addition, genes that contain differentially methylated regions (DMRs) with ten or more methylated cytosines in at least one genotype were included as well. (C) Graphical illustration of H3K27me3 and EIN6 occupancy at the EIN2 gene determined with ChIP-seq. Sequencing reads were merged between biological replicates for the H3K27me3 ChIP-seq using untreated 3-day-old etiolated Ler (gray) and ein6-1 een-1 (blue) seedlings (two replicates each) and the EIN6 ChIP-seq (red) using Ler 35S:EIN6-FLAG seedlings (three replicates). The occupancy was calculated as the ratio between the respective merged ChIP and the merged Ler IgG control in 100 bp bins from 2.4 kb upstream to 7.7 kb downstream of the transcriptional start site (TSS) of EIN2 and is shown as log2 fold change. Negative values which reflect lower occupancy in the ChIP sample compared to the IgG control sample were set to zero.
    2019
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