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Atlas of RNA sequencing profiles of normal human tissues

ABSTRACT: Atlas of RNA sequencing profiles of normal human tissues

PROVIDER: PRJNA494560 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR7961200.fastq.gz	Fastqsanger.gz
	SRR7961210.fastq.gz	Fastqsanger.gz
	SRR7961220.fastq.gz	Fastqsanger.gz
	SRR7961230.fastq.gz	Fastqsanger.gz
	SRR7961240.fastq.gz	Fastqsanger.gz

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Atlas of RNA sequencing profiles for normal human tissues.

Project description:Comprehensive analysis of molecular pathology requires a collection of reference samples representing normal tissues from healthy donors. For the available limited collections of normal tissues from postmortal donors, there is a problem of data incompatibility, as different datasets generated using different experimental platforms often cannot be merged in a single panel. Here, we constructed and deposited the gene expression database of normal human tissues based on uniformly screened original sequencing data. In total, 142 solid tissue samples representing 20 organs were taken from post-mortal human healthy donors of different age killed in road accidents no later than 36 hours after death. Blood samples were taken from 17 healthy volunteers. We then compared them with the 758 transcriptomic profiles taken from the other databases. We found that overall 463 biosamples showed tissue-specific rather than platform- or database-specific clustering and could be aggregated in a single database termed Oncobox Atlas of Normal Tissue Expression (ANTE). Our data will be useful to all those working with the analysis of human gene expression.

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Atlas of RNA sequencing profiles of normal human tissues

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.

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