Evidence map›Paper›PMID 15741514›Full record

ArticleGenome research2005

Database of mRNA gene expression profiles of multiple human organs.

Chang Gue Son, Sven Bilke, Sean Davis, Braden T Greer, Jun S Wei, Craig C Whiteford, Qing-Rong Chen, Nicola Cenacchi, Javed Khan

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it, 131 citations in OpenAlex.

  1. Pooled it
  2. Patient-derived human tumour tissue xenografts in immunodeficient mice: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2010
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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

9 authors at 1 institution in 1 country.

Chang Gue SonAdvanced Technology Center, Oncogenomics Section, Pediatric Oncology Branch, National Cancer Institute, National Institutes of Health, Gaithersburg, Maryland 20877, USA.
Sven Bilke
Sean Davis
Braden T Greer
Jun S Wei
Craig C Whiteford
Qing-Rong Chen
Nicola Cenacchi
Javed Khan
National Institutes of Health · US

Funding

Gene Expression Profiling of Normal TissuesZ01BC010593 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KHAN, JAVED · 2004 to 2008
$340k
Gene Expression Profiling of Normal TissuesZIABC010593 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI KHAN, JAVED · 2009 to 2009
$52k
NCI NIH HHS Z01 BC010593-02
6 · The paper itself

Abstract

Genome-wide expression profiling of normal tissue may facilitate our understanding of the etiology of diseased organs and augment the development of new targeted therapeutics. Here, we have developed a high-density gene expression database of 18,927 unique genes for 158 normal human samples from 19 different organs of 30 different individuals using DNA microarrays. We report four main findings. First, despite very diverse sample parameters (e.g., age, ethnicity, sex, and postmortem interval), the expression profiles belonging to the same organs cluster together, demonstrating internal stability of the database. Second, the gene expression profiles reflect major organ-specific functions on the molecular level, indicating consistency of our database with known biology. Third, we demonstrate that any small (i.e., n approximately 100), randomly selected subset of genes can approximately reproduce the hierarchical clustering of the full data set, suggesting that the observed differential expression of >90% of the probed genes is of biological origin. Fourth, we demonstrate a potential application of this database to cancer research by identifying 19 tumor-specific genes in neuroblastoma. The selected genes are relatively underexpressed in all of the organs examined and belong to therapeutically relevant pathways, making them potential novel diagnostic markers and targets for therapy. We expect this database will be of utility for developing rationally designed molecularly targeted therapeutics in diseases such as cancer, as well as for exploring the functions of genes.

Indexed as

Databases, Nucleic AcidCluster AnalysisGene Expression ProfilingHumansOligonucleotide Array Sequence AnalysisOrgan SpecificityPrincipal Component AnalysisRNA, MessengerRNA, Messenger

Identifiers

PMID15741514
PMCPMC551571
OpenAlexW2032065412

What OpenQuestion holds

Textmetadata
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.