Project description:Comprehensive analysis of molecular pathology requires a collection of reference samples representing normal tissues from healthy donors. There is a shortage now of the gene expression data for human healthy tissues. The available data can either lack biological replicates or represent tissues adjacent to tumors removed during surgery that have signs of pathology and inflammation. For the available limited collections of normal tissues from post mortal donors, there is a problem of data incompatibility, as different datasets were generated using different experimental platforms and cannot be merged in a single panel. Here, for the first time, we construct and deposited a gene expression database of normal human tissues based on uniformly screened original sequencing (Illumina HiSeq 3000) data. A total of 148 solid tissue samples representing 20 organs were taken from post-mortal human healthy donors killed in road accidents no later than 36 hours after death. Blood and bone marrow samples were taken from 6 and 11 healthy volunteers respectively. The materials were collected since 2012 and stored until gene expression profiles were obtained by using the same reagents and protocols. Data consistency was confirmed by hierarchical clustering and principal component analysis (PCA). Our data can be useful to all those working with the analysis of human gene expression.
Project description:Purpose: To compare the coding and non-coding transcriptomic changes in human gliomas compared with normal brain tissues. Methods: Biopsies were collected from 85 adult glioblastomas, 18 lower grade gliomas, and 15 normal brain tissues. Total RNA was isolated using the Qiagen RNeasy Mini kit or Trizol reagent according to the manufacturer's instruction. Stranded, rRNA-deleted libraries were prepared using the Illumina stranded Total RNA TruSEQ kit according to the manufacturer's instruction. Sequencing was performed on Illumina HiSeq 4000 instrument according to the manufacturer instructions. Reads were aligned to the human genome GRCh38 using HISAT2 (Version 2.1.0). Read counts for each gene were quantified using HTSeq-count (Version 0.10.0) and then normalized by DESeq2 (r package, version 1.20.0). Results: Approximately 20 million paired-end reads at the length of 50 bp were obtained from each sample. The genome mapping efficiency was 85% on average for all samples. Altered expression of 6,132 protein-coding genes and 1,270 lncRNAs were identified. Conclusions:We report the coding and non-coding transcriptomic changes in human gliomas compared with normal brain tissues.
Project description:In order to find out circular RNAs profiles in human bladder cancer tissues and normal bladder tissues, we characterized circuclar RNA transcripts by performing RNA-Seq on ribosomal RNA-depleted total RNA from three pairs of human bladder cancer tissues and paired normal bladder tissues.A computational pipeline based on the anchor alignment of unmapped reads was used to identify circular RNAs. Collectively, we identified16,535 distict circular RNAs, most of them origined from exons (88.96%), others from introns, linc RNA, intergenic region, 3’UTR and 5’UTR. Among all these circRNAs, 571 circRNAs were differentially expressed between bladder cancer tissues and normal bladder tissues, and 524 circRNAs were downregulated in bladder cancer tissues (91.2%), others were upreguluated. These significantly differential expressed circular RNA might have regulatory function in bladder cancer, and worth to be further explored.
Project description:Commercially available human genomic microarrays from four different manufacturers were used to compare Human Brain Total RNA against Universal Human Reference RNA (both commercially available) prepared at two different starting amounts (20 µg or 1µg). For each level of RNA, 6 replicates were performed with Human Brain Total RNA labelled with Cy3, and Universal Human Reference RNA labelled with Cy5. The labelling was then reversed (dye flip) creating another 6 replicates. This meant that for each of the four manufacturers there were a total of 24 arrays. Image processing was performed with two different software packages, and data was normalized with three different strategies.
Project description:Purpose: Maintenance of cellular homeostasis and xenobiotics detoxification relies on the glucuronidation pathway mediated by 19 human UDP-glucuronosyltransferase enzymes (UGTs) encoded by 10 highly homologous genes. Recent evidence suggests that alternative splicing largely expands the human UGT transcriptome. Results: we establish the quantitative portrait of the UGT transcriptome in major metabolic organs. RNA sequencing uncovered that AS significantly shapes the UGT transcriptome, with variants quantitatively representing up to 35% and 60% UGT transcripts in normal and tumoral tissues respectively. Novel distinctive in-frame sequences were present in 20% alternative transcripts, which potentially encode UGT isoforms with distinct structural and functional features. Conclusions: This work exposes the important quantitative and biological significance of alternative UGT expression likely creating unparalleled protein diversity evolving from enzymes to regulators of cell metabolism.