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Sci Data. 2019 Apr 23;6(1):36. doi: 10.1038/s41597-019-0043-4.

Atlas of RNA sequencing profiles for normal human tissues.

Author information

1
Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, 117997, Russia.
2
Department of Pathology, Faculty of Medicine, Lomonosov Moscow State University, Moscow, 119991, Russia.
3
Pathology Department, Morozov Children's City Hospital, 4th Dobryninsky Lane 1/9, Moscow, 119049, Russia.
4
Bureau of Forensic Medicine, Moscow, Russia.
5
Department of Pathology and Laboratory Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA.
6
National Research Center for Hematology, Novy Zykovsky proezd, 4, Moscow, 125167, Russia.
7
Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilova Street, 32, Moscow, 119991, Russia.
8
Khosla Ventures, Menlo Park, CA, USA.
9
Omicsway Corp., 340S Lemon Ave, 6040, Walnut, 91789 CA, USA.
10
Oncobox ltd., Moscow, 121205, Russia.
11
Omicsway Corp., 340S Lemon Ave, 6040, Walnut, 91789 CA, USA. sorokin@oncobox.com.
12
I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia. sorokin@oncobox.com.
13
I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia.

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.

PMID:
31015567
PMCID:
PMC6478850
DOI:
10.1038/s41597-019-0043-4
[Indexed for MEDLINE]
Free PMC Article

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