Abstract
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.
Highlights
Background & SummaryHigh throughput gene expression analyses can be used in every aspect of biomedicine[1,2,3], including fundamental research[4,5,6] and molecular diagnostics[7]
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)
Growing amount of transcriptomic data is deposited in the special public repositories like Gene Expression Omnibus, GEO8 and Array-Express[9] which have already accumulated over two million individual transcriptomic profiles obtained in over 100,000 series of experiments[10]
Summary
Background & SummaryHigh throughput gene expression (transcriptomic) analyses can be used in every aspect of biomedicine[1,2,3], including fundamental research[4,5,6] and molecular diagnostics[7]. We constructed and deposited the gene expression database of normal human tissues based on uniformly screened original sequencing data.
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