Evidence map›Paper›PMID 31015567›Full record

ArticleScientific data2019

Atlas of RNA sequencing profiles for normal human tissues.

Maria Suntsova, Nurshat Gaifullin, Daria Allina, Alexey Reshetun, Xinmin Li, Larisa Mendeleeva, Vadim Surin, Anna Sergeeva, Pavel Spirin, Vladimir Prassolov and 4 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

78 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Integration of Bulk and Single-Cell RNA Sequencing Analyses in Biomedicine.International journal of molecular sciences · 2026
    Review
  7. Article
  8. Article
  9. AccurateInternational journal of molecular sciences · 2025
    Article
  10. Article
  11. International journal of molecular sciences · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

18 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Maria SuntsovaShemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, 117997, Russia.
Nurshat GaifullinDepartment of Pathology, Faculty of Medicine, Lomonosov Moscow State University, Moscow, 119991, Russia.
Daria AllinaPathology Department, Morozov Children's City Hospital, 4th Dobryninsky Lane 1/9, Moscow, 119049, Russia.
Alexey ReshetunBureau of Forensic Medicine, Moscow, Russia.
Xinmin LiDepartment of Pathology and Laboratory Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Larisa MendeleevaNational Research Center for Hematology, Novy Zykovsky proezd, 4, Moscow, 125167, Russia.
Vadim SurinNational Research Center for Hematology, Novy Zykovsky proezd, 4, Moscow, 125167, Russia.
Anna SergeevaNational Research Center for Hematology, Novy Zykovsky proezd, 4, Moscow, 125167, Russia.
Pavel SpirinEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilova Street, 32, Moscow, 119991, Russia.
Vladimir PrassolovEngelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilova Street, 32, Moscow, 119991, Russia.
Alexander MorganKhosla Ventures, Menlo Park, CA, USA.
Andrew GarazhaOmicsway Corp., 340S Lemon Ave, 6040, Walnut, 91789 CA, USA.
Maxim SorokinOmicsway Corp., 340S Lemon Ave, 6040, Walnut, 91789 CA, USA. sorokin@oncobox.com.
Anton BuzdinOmicsway Corp., 340S Lemon Ave, 6040, Walnut, 91789 CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Databases, GeneticSequence Analysis, RNATranscriptomeGene Expression ProfilingHumansOrgan Specificity

Identifiers

PMID31015567
PMCPMC6478850

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.