Project description:To evaluate the effect of SETD2 and METTL14 on mRNA stability, we conducted RNA-seq in SETD2 or METTL14 knockdown HepG2 cells as well as control cells with or without actinomycin D treatment. Our RNA stability profiling revealed that depletion of SETD2 and METTL14 resulted in global reduction of RNA stability, and the changes were correlated between SETD2 and METTL14 knockdown cells.
Project description:Setd2 is the specific methyltransferase of H3K36me3. To understand the global effect of H3K36me3 on m6A modification, we used mouse embryonic stem cells (mESCs) model with doxycycline (Dox)-induced Setd2 knockdown, and performed m6A-IP followed by sequencing in mESCs with or without Dox treatment. We found that depletion of H3K36me3 by Setd2 silencing globally reduced m6A in mouse transcriptome.
Project description:SETD2 is the specific methyltransferase of H3K36me3, while METTL14 is a critical subunit of the m6A methyltransferase complex. To evaluate the effect of SETD2 and METTL14 on translation, we conducted robosome profiling in SETD2 and METTL14 knockdown and control HepG2 cells. Our RNA ribosome profiling revealed that depletion of SETD2 and METTL14 resulted in a global reduction in RNA translation and the changes of translation efficiency were correlated between SETD2 and METTL14 knockdown cells.
Project description:We performed RNA-seq of 293T cells post depletion and SETD2 or hnRNP L to compare their global transcriptome profile. We also looked at the distribution of the histone mark H3K36me3 in wild type 293T to correlate it with the observed transcriptome changes upon SETD2 and hnRNP L depletion. We rescued SETD2 knock out 293T cells with SETD2 FL (Full Length), FLΔSRI (FLwoSRI) and FLΔSHI (FLwoSHI) and performed H3K36me3 ChIP-Seq.
Project description:Purpose: This study aimed at exploring the deregulated genes in setd2 knockout mESCs compared with wt, more particularly to find the mechanism controlled by setd2,which was required for endoderm differentiation. Methods: Setd2 wt and ko mESCs were generated by deep sequencing, using Illumina GAIIx. Using Avadis NGS (version:1.3) software to analyze the sequence reads that passed quality filter to acquire the expression level of all genes. qRT–PCR validation was performed usingSYBR Green assays. Results: Using an optimized data analysis workflow, we mapped about 80 million sequence reads per sample to the mouse genome (build mm9) and identified 17,827 transcripts in the sted2 wt and ko mESCs. About 2,516 genes were deregulated in setd2 ko mESCs, more than 10 genes were validated using qRT-PCR. Conclusions: Through RNA-seq,we noticed that a subset of genes that related to MAPK signaling pathways were down-regulated in ko mESCs. This provided a bridge to connect setd2 and mESCs endoderm differentiation. One wt and one ko mESCs were generated by deep sequencing, using Illumina GAIIx.
Project description:SETD2 is the specific methyltransferase of H3K36me3, while METTL3, METTL14 and WTAP are the components of m6A methyltransferase complex. To understand the global effect of H3K36me3 on m6A modification, we compared the m6A profiling in SETD2 and METTL3, METTL14 or WTAP knockdown HepG2 cells, and found depletion of H3K36me3 by SETD2 silencing globally reduced m6A in human transcriptome. What’s more, most of the SETD2-dependent hypomethylation sites also responded to knockdown of METTL3, METTL14, or WTAP.
Project description:Setd2 is the specific methyltransferase of H3K36me3. To obtain Setd2-dependent landscape of H3K36me3 in mouse genome, we used mouse embryonic stem cells (mESCs) model with doxycycline (Dox)-induced Setd2 knockdown, and performed ChIP sequencing in mESCs with or without Dox treatment.