Project description:Here we use bisulfite conversion of RNA combined with high-throughput IIlumina sequencing (RBS-seq) to identify single-nucleotide resolution of m5C sites in ribosomal RNAs of all three sub-cellular transcriptomes in Arabidopsis thaliana. m5C sites in rRNAs were also anlyzed in Arabidopsis T-DNA knockouts for the RNA methyltransferases TRM4A, TRM4B, TRDMT1, NSUN5, NOP2A, NOP2B and NOP2C.
2015-10-01 | GSE68444 | GEO
Project description:16S high-throughput sequencing raw data
Project description:Here we use bisulfite conversion of rRNA depleted RNA combined with high-throughput Illumina sequencing (RBS-seq) to identify single-nucleotide resolution of m5C sites transcriptome-wide in Arabidopsis thaliana siliques. m5C sites were also analyzed in an Arabidopsis T-DNA knockout for the RNA methyltransferase TRM4B.
Project description:Here we use bisulfite conversion of rRNA depleted RNA combined with high-throughput Illumina sequencing (RBS-seq) to identify single-nucleotide resolution of m5C sites transcriptome-wide in Arabidopsis thaliana roots. m5C sites were analyzed in wild type (WT) and an Arabidopsis T-DNA KO mutant for the RNA methyltransferase TRM4B.
Project description:Here we use bisulfite conversion of rRNA depleted RNA combined with high-throughput Illumina sequencing (RBS-seq) to identify single-nucleotide resolution of m5C sites transcriptome-wide in Arabidopsis thaliana seedlings. m5C sites were also analyzed in Arabidopsis trm4b-1 and trdmt1 T-DNA KO mutants for the RNA methyltransferases TRM4B and TRDMT1.
Project description:The rapid development of high-throughput sequencing is conducive to the discovery of many new theories. The purpose of this study is to explore the differentially expressed of tRF & tiRNA in cholangiocarcinoma by high-throughput sequencing technology. We collected cholangiocarcinoma and adjacent normal tissues from three patients. After RNA extraction and RNA library preparation, we determined the raw data of tRF & tiRNA in cholangiocarcinoma and adjacent normal tissues by high-throughput RNA sequencing. Raw data were generated after sequencing,image analysis,basecalling and quality filtering on lllumina sequencer.Firstly,Q30 was used to perform quality control.The adaptor sequences were trimmed and the adaptor-trimmed-reads(>=16nt) were left by cut adapt software(v1.9.3).Then,the raw counts of each tRF&tiRNA(MINTbasev2.0) was calculated for all samples,defined as the raw expression level soft.The results showed that a total of 20102 tsRNA were detected in the two groups, 9616tsRNA were upregulated and 10486 were downregulated. There were 535 differentially expressed tsRNA in cholangiocarcinoma after edger standardization, of which 241 were upregulated and 294 were downregulated (| log2 (foldchange) | = 1andpvalue < 0.05). This study shows that high-throughput sequencing technology is helpful for us to determine the expression of tRF & tiRNA in cholangiocarcinoma, and to screen out differentially expressed tRF & tiRNA, and further to explore the factors that affect the progress of cholangiocarcinoma.
Project description:Here we use bisulfite conversion of RNA combined with high-throughput IIlumina sequencing (RBS-seq) to identify single-nucleotide resolution of m5C sites in transfer RNAs of all three sub-cellular transcriptomes of Arabidopsis thaliana. 5-methylcytosine sites in tRNAs were also determined in Arabidopsis T-DNA knockouts for the RNA methyltransferases TRM4A, TRM4B, TRDMT1, NSUN5 and NOP2A.
Project description:Here we use bisulfite conversion of RNA combined with high-throughput IIlumina sequencing (RBS-seq) to identify single-nucleotide resolution of m5C sites in transfer RNAs of all three sub-cellular transcriptomes across six diverse species that include, the single-celled algae Nannochloropsis oculata, the macro algae Caulerpa taxifolia and multi-cellular higher plants Arabidopsis thaliana, Brassica rapa, Triticum durum and Ginkgo biloba.
Project description:We observed gene expression difference between different groups after MDA-MB-231 treated with DMSO, 10 μM DAC, 1 μM DEX, or DAC+DEX. Data obtained from high-throughput sequencing (Illumina NovaSeq 6000 platform) were transformed into raw sequenced reads by CASAVA base calling and stored in FASTQ format. Gene expression of each groups are listed in raw data files. Some different expression genes between two groups are further validated with qRT-PCR.
