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: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:This experiment consists of expression profiles for proteins in human tissues based on immunohistochemistry tissue microarrays. The tissue and cell samples came from 144 normal individuals. Normal tissues are represented by samples from three individuals each (except for endometrium, skin, soft tissue and stomach which are represented by samples from six individuals each), one core per individual. <br> The data presented here is based on The Human Protein Atlas version 13 and Ensembl version 75.37. This entry represents a top level summary of the metadata only. For more information about the immunochemistry assays and how the tissue microarrays work for the assays, please visit the Human Protein Atlas website: http://www.proteinatlas.org/about/assays+annotation#ih
Project description:We performed expression profiling of 36 types of normal human tissues and identified 2,503 tissue-specific genes. We then systematically studied the expression of these genes in cancers by re-analyzing a large collection of published DNA microarray datasets. Our study shows that integration of each gene's breadth of expression (BOE) in normal tissues is important for biological interpretation of the expression profiles of cancers in terms of tumor differentiation, cell lineage and metastasis. Twenty five total RNA specimens were purchased from Clontech (Palo Alto, CA), Ambion (Austin, TX) and Strategene (La Jolla, CA). We tried to cover as many tissue types as possible by using pooled RNA samples. In order to define breadth-of-expression (BOE) accurately at a reasonable cost, we tried to cover as many tissue types as possible by using pooled RNA samples. Each specimen represents a human organ. We used RNA samples pooled from 2 to 84 donors to avoid differences at the individual level. Keywords = Normal human tissues Keywords = Tissue-specificity Detailed sample information and Affymetrix .CEL files are available at http://www.genome.rcast.u-tokyo.ac.jp/normal/ Publication:Ge X et al., Interpreting expression profiles of cancers by genome-wide survey of breadth of expression in normal tissues. Genomics. 2005 Aug;86(2):127-141. PMID: 15950434 Keywords: other