Project description:Protein methyltransferases can recognise their substrates through linear sequence motifs and determination of these motifs is critical to understand methyltransferase mechanism, function and drug targeting. Here we describe MT-MAMS (methyltransferase motif analysis by mass spectrometry), a quantitative approach to characterise methyltransferase substrate recognition motifs and enzyme processivity. We validated MT-MAMS by application to lysine methyltransferase G9a, then determined the recognition motifs of Efm1 and major arginine methyltransferases Hmt1 and PRMT1.
Project description:Purpose: The goal of this study is to compare the gene expression profiles of H460, H460-ERT2-RUNX3-WT and H460-ERT2-RUNX3-MT(K94/171R) cells. Methods: H460, H460-ERT2-RUNX3 WT, and H460-ERT2-RUNX3-MT(K94/171R) cells were serum-starved for 24 hr, and then stimulated with 10% serum or 10% serum + 1 uM 4-OHT for 0, 8, or 16 hr. RNA was extracted from the cells. Isolated total RNA was processed for preparation of an RNA-seq library using the Illumina TruSeq Stranded mRNA Sample Preparation kit (Illumina, San Diego, CA, USA). Quality and size of libraries were assessed using the Agilent 2100 Bioanalyzer DNA kit (Agilent, Santa Clara, CA, USA). All libraries were quantified by qPCR using a CFX96 Real Time System (Bio-Rad, Hercules, CA, USA) and sequenced on NextSeq500 sequencers (Illumina). Sequencing adapters and low-quality bases in the raw reads were trimmed using the Cutadapt software. The cleaned high-quality reads were mapped to the human reference genome hg19 (https://genome.ucsc.edu) using STAR software. Genes differentially expressed between two selected biological conditions were identified by Cuffdiff in the Cufflinks package (http://cole-trapnell-lab.github.io/cufflinks/papers/). Results: RNA-Sequencing Data suggest that the R-point defends against oncogenic K-RAS–induced tumorigenesis not only by regulating intracellular programs (cell cycle, apoptosis, and metabolic pathways), but also by regulating extracellular programs (inflammatory response and immune response).
Project description:endogenous small RNAs from Chlamydomonas reinhardtii strain J3(mt-) vegetative cells Keywords: High throughput 454 small RNA sequencing
Project description:To investigate the effects of NFKB signaling, RNA-seq analysis was performed on both Jurkat and MT-2 cells. It was observed that either NFKB1 or NFKB2 knockout could alter the gene expression profile in MT-2 cells compared to Jurkat cells. Gene expression profiles of NFKB1/NFKB2 knockout Jurkat cells were compared to the mock edited Jurkat cells. On the other hand, it was hypothesized that the gene expression profile of MT-2 cells can be more drastically altered by NFKB1 or NFKB2 knockout. NFKB2 knockout MT-2 cells exhibited a unique gene expression profile compared to those of NFKB1 knockout MT-2 cells and mock edited MT-2 cells.
