heterozygous b6 dnmt3a knockout (ko) mice (Jackson Laboratory)
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Heterozygous B6 Dnmt3a Knockout (Ko) Mice, supplied by Jackson Laboratory, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
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1) Product Images from "DNMT3A-dependent DNA methylation shapes the endothelial enhancer landscape"
Article Title: DNMT3A-dependent DNA methylation shapes the endothelial enhancer landscape
Journal: Nucleic Acids Research
doi: 10.1093/nar/gkaf435
Figure Legend Snippet: Context-dependent impact of DNA methylation on chromatin accessibility. ( A ) Differential chromatin accessibility in the TSS of genes showing a methylation–transcription correlation in EC inf versus EC yAdu (panel 1) and in EC inf versus EC mAdu (panel 2). The enrichment plot displays the binding motives for DNMT3A (panel 3) and DNMT3B (panel 4). n = 3 for each age group. ( B ) qPCR of pulmonary ECs isolated from infant and young adult mice showing the expression of DNA modifiers. n = 6 per age group. The data are presented as the means ± SDs. P -values were determined by the Mann−Whitney test. *** P <0.001, **** P <0.0001. ( C ) Representative images of infant and young adult lung sections stained for CD31 (vascular surface), DNMT3A (DNA methyltransferase), and Hoechst (nucleus). Scale bar: 20 μm.
Techniques Used: DNA Methylation Assay, Methylation, Binding Assay, Isolation, Expressing, MANN-WHITNEY, Staining
Figure Legend Snippet: Loss of DNMT3A-dependent DNA methylation results in mild gene deregulation. ( A ) Schematic overview showing the sample collection of pulmonary ECs isolated from Dnmt3a WT and Dnmt3a KO infant mice. FACS-sorted pulmonary ECs were further used for methylome, transcriptome, chromatin accessibility, and histone landscape analysis. The scheme was created in BioRender. Augustin, H. (2025) https://BioRender.com/k83b042 . ( B ) Pie diagram displaying the relative number of DMRs upon the loss of Dnmt3a located distal (distance > 5 kb) or local (distance ≤ 5 kb) to the nearest TSS. ( C ) Genomic enrichment of distal DNMT3A-dependent DMRs. ( D ) Genomic enrichment of local DNMT3A-dependent DMRs. ( E ) Heatmap showing DNMT3A-dependent DMRs (left) and 258 associated genes (middle) that were differentially expressed (adjusted P -value <0.05) in Dnmt3a KO ECs compared to WT ECs. The distance of the DMRs to the gene TSS is shown on the right as log 10 () in bp. For both, methylome and transcriptome analyses, three biological replicates were used for each genotype. ( F ) Gene ontology analysis based on the biological functions of 258 differentially expressed genes (DEGs) that were associated with DNMT3A-dependent DNA methylation changes. A heatmap (left) displays the clustering of GO terms based on similarity (range: 0–0.8). The letter size represents the significance of the GO term (right). ( G ) Schematic representation of the sprouting assay. Control and shDNMT3A cell lines were analyzed under baseline conditions and angiogenic stimulation with recombinant human VEGF (rhVEGF) supplementation. The scheme was created in BioRender. Augustin, H. (2025) https://BioRender.com/k83b042 . ( H ) Quantification of DNMT3A knockdown efficacy in HUVECs following lentiviral transduction with shDNMT3A (sh#1, sh#2) or control shRNA ( nsh ). Data represent n = 3 biological replicates per cell line and are presented as mean ± SD. Statistical significance was assessed using an unpaired t -test. ** P <0.01. ( I ) Representative images of spheroids formed by HUVECs transduced with control shRNA or shDNMT3A . The spheroid assay was conducted under baseline conditions or upon angiogenic induction with rhVEGF. ( J ) Quantification of the number of sprouts in spheroids formed by HUVECs transduced with control shRNA or shDNMT3A constructs. Data represent n = 3 biological replicates per cell line and are presented as the mean ± SD. Statistical significance was determined using an unpaired t -test. * P <0.05. ( J ) Quantification of the average sprout length, expressed as fold change, in HUVECs transduced with control shRNA or shDNMT3A constructs. Data represent n = 3 biological replicates per cell line and are presented as the mean ± SD. Statistical significance was determined using an unpaired t -test. * P <0.05.
Techniques Used: DNA Methylation Assay, Isolation, Control, Recombinant, Knockdown, Transduction, shRNA, Construct
Figure Legend Snippet: The absence of DNMT3A-dependent DNA methylation results in enhancer loss. ( A ) Bar plot showing the number of identified regulatory elements and silent chromatin in Dnmt3a WT and KO pulmonary ECs. ( B ) Circos plot showing the transition of all regulatory regions identified in Dnmt3a WT pulmonary ECs compared with Dnmt3a KO ECs. Regions are depicted in bp. ( C ) Focused circos plot of identified active enhancers in Dnmt3a WT pulmonary ECs (23,267,740 bp) and their change into other CRE categories in Dnmt3a KO ECs. This plot only focuses on active enhancers in WT ECs and does not include newly established active enhancers in KO ECs, which were gained due to conversions from non-assigned regions, among others, in WT ECs. Regions are depicted in bp. ( D ) Gene ontology analysis based on lost active enhancer regions in Dnmt3a WT compared to Dnmt3a KO ECs. GO terms were based on similarity, ranging from 0 to 0.8 (panel 3). The letter size represents the significance of the GO term (right). ( E ) Gene ontology analysis based on consistent active enhancer regions identified in both Dnmt3a WT and Dnmt3a KO ECs. GO terms were based on similarity, ranging from 0 to 0.8 (panel 3). The letter size represents the significance of the GO term (right).
Techniques Used: DNA Methylation Assay
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