BioProject

Comprehensive analysis of molecular pathology requires a collection of reference samples representing normal tissues from healthy donors. More...

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. Overall design: 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. Prior to RNA extraction solid normal tissue samples were stored either in RNAlater or as Formalin-Fixed Paraffin-Embedded (FFPE) blocks. Blood and bone marrow samples were taken from 6 and 11 healthy volunteers respectively and subjected immediately to RNA extraction. Following ribosomal RNA depletion and RNA libraries construction transcription profiles of the samples were obtained using Illumina HiSeq 3000. Less...