Evidence map›Paper›PMID 18803840›Full record

ArticleGenome biology2008

Systematic bioinformatic analysis of expression levels of 17,330 human genes across 9,783 samples from 175 types of healthy and pathological tissues.

Sami Kilpinen, Reija Autio, Kalle Ojala, Kristiina Iljin, Elmar Bucher, Henri Sara, Tommi Pisto, Matti Saarela, Rolf I Skotheim, Mari Björkman and 9 more

Abstract read
In one paragraph

Article in Genome biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed, 3 pooled it
–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

146 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Human Kallikrein 2: A Novel Lineage-Specific Surface Target in Prostate Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Cancers · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. The SCF Complex Is Essential to Maintain Genome and Chromosome Stability.International journal of molecular sciences · 2021
    Review
  17. Article
  18. Article
  19. Article
  20. Article

86 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

19 authors.

Sami KilpinenMedical Biotechnology, VTT Technical Research Centre and University of Turku, Itäinen pitkäkatu 4C, Turku, Finland. sami.k.kilpinen@helsinki.fi
Reija Autio
Kalle Ojala
Kristiina Iljin
Elmar Bucher
Henri Sara
Tommi Pisto
Matti Saarela
Rolf I Skotheim
Mari Björkman
John-Patrick Mpindi
Saija Haapa-Paananen
Paula Vainio
Henrik Edgren
Maija Wolf
Jaakko Astola
Matthias Nees
Sampsa Hautaniemi
Olli Kallioniemi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our knowledge on tissue- and disease-specific functions of human genes is rather limited and highly context-specific. Here, we have developed a method for the comparison of mRNA expression levels of most human genes across 9,783 Affymetrix gene expression array experiments representing 43 normal human tissue types, 68 cancer types, and 64 other diseases. This database of gene expression patterns in normal human tissues and pathological conditions covers 113 million datapoints and is available from the GeneSapiens website.

Indexed as

Gene Expression ProfilingDatabases, GeneticDiseaseGene Expression RegulationHumansOligonucleotide Array Sequence AnalysisOrgan Specificity

Identifiers

PMID18803840
PMCPMC2592717

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.