Atlas of RNA sequencing profiles for normal human tissues
| Autor: | V. L. Surin, Alexander Morgan, Maxim Sorokin, Daria Allina, Xinmin Li, Vladimir S. Prassolov, Andrew Garazha, Anton Buzdin, Pavel Spirin, Larisa Mendeleeva, Anna Sergeeva, Maria Suntsova, Alexey Reshetun, Nurshat Gaifullin |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Statistics and Probability
Data Descriptor 010504 meteorology & atmospheric sciences Sequence analysis Sequencing data Normal tissue Computational biology Biology Library and Information Sciences 01 natural sciences Education 03 medical and health sciences Gene expression analysis stomatognathic system Genetics research Databases Genetic Healthy volunteers Humans lcsh:Science 030304 developmental biology 0105 earth and related environmental sciences 0303 health sciences Sequence Analysis RNA Molecular pathology Gene Expression Profiling RNA RNA sequencing Computer Science Applications Gene expression profiling Gene expression database Organ Specificity lcsh:Q Statistics Probability and Uncertainty Genetic databases Transcriptome Information Systems |
| Zdroj: | Scientific Data, Vol 6, Iss 1, Pp 1-9 (2019) Scientific Data |
| ISSN: | 2052-4463 |
| DOI: | 10.1038/s41597-019-0043-4 |
| Popis: | 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. Design Type(s)gene expression analysis objective • data integration objective • organism part comparison design • transcription profiling designMeasurement Type(s)transcription profiling assayTechnology Type(s)RNA sequencingFactor Type(s)sex • age • organism subdivisionSample Characteristic(s)Homo sapiens • kidney • Kidney • Colon • Liver • brain • Lung • endometrium • Ovary • prostate gland • Esophagus • Stomach • Mammary gland • Thyroid gland • Pancreas • Tonsil • skeletal muscle tissue • small intestine • Adrenal gland • urinary bladder • skin of body • uterus • uterine cervix • Small intestine • tonsil • blood • bone marrow • esophagus • liver Machine-accessible metadata file describing the reported data (ISA-Tab format) |
| Databáze: | OpenAIRE |
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