Genome-wide analysis to identify genes bound by GATA-1 with CGATA motifs where there is a change of DNA methylation status.a Bioinformatics analysis pipeline used to identify CGATA sites bound by GATA-1 where methylation decreases during mouse haematopoiesis4,22. b Heat-map of DNA methylation lev...
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Genome-wide analysis to identify genes bound by GATA-1 with CGATA motifs where there is a change of DNA methylation status.a Bioinformatics analysis pipeline used to identify CGATA sites bound by GATA-1 where methylation decreases during mouse haematopoiesis4,22. b Heat-map of DNA methylation levels in blood differentiation at GATA-1 targets containing CGATA sites22. Genome-wide DNA methylation level has been investigated in hematopoietic stem cells (HSC), multipotent progenitor 1 (eMPP, Flk2 negative), multipotent progenitor 2 (MPP, Flk2 positive), common myeloid progenitor (CMP), megakaryocyte-erythroid progenitor (MEP) and nucleated erythroblasts (Eryth). All cells were purified from the bone marrow of adult C57BL/6 J mice22. c Schematic of mouse erythropoiesis showing changes in DNA methylation at the c-Kit CGATA22. d Chromatin status at CGATA site within Intron 2 of the mouse c-Kit gene. IGV peak tracks at CGATA (TATCG reverse complement) in GATA-1 ChIP-Seq (G1E cells)21, ATAC-Seq (megakaryocyte-erythroid progenitor cell)21, DNase-Seq (MEL cells)31, H3K4me1 ChIP-Seq (megakaryocyte embryo 14.5)21, H3K4me3 ChIP-Seq (MEL cells)21 and H3K27ac ChIP-Seq (MEL cells)21. The numbers in square brackets on the left side represent peak height. e Flow cytometry cell sorting was used to purify Lineage negative, Scal positive and c-Kit positive (LSK) cells and Ter119 positive and CD71 positive (erythroid; ERY) cells from mouse bone marrow. DNA methylation level at the c-Kit CGATA site in LSK and ERY cells was determined by pyrosequencing, n = 4 biologically independent animals, mean ± standard deviation. Measurements were taken from distinct samples (animals). Source data are provided as a Source data file.
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