Evidence map›Paper›PMID 16381946›Full record

ArticleNucleic acids research2006

BodyMap-Xs: anatomical breakdown of 17 million animal ESTs for cross-species comparison of gene expression.

Osamu Ogasawara, Makiko Otsuji, Kouji Watanabe, Takayasu Iizuka, Takuro Tamura, Teruyoshi Hishiki, Shoko Kawamoto, Kousaku Okubo

Abstract read
In one paragraph

Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Computational solutions for omics data.Nature reviews. Genetics · 2013
    Review
  7. Article
  8. Making sense out of massive data by going beyond differential expression.Proceedings of the National Academy of Sciences of the United States of America · 2012
    Article
  9. Article
  10. Article
  11. TiSGeD: a database for tissue-specific genes.Bioinformatics (Oxford, England) · 2010
    Article
  12. Review
  13. Article
  14. Article
  15. Prediction of human miRNAs using tissue-selective motifs in 3' UTRs.Proceedings of the National Academy of Sciences of the United States of America · 2008
    Article
  16. Article
  17. Article
  18. Article
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

8 authors.

Osamu OgasawaraCenter for Information Biology and DNA Data Bank of Japan, National Institute of Genetics, 1111 Yata, Mishima, Shizuoka 411-8540, Japan.
Makiko Otsuji
Kouji Watanabe
Takayasu Iizuka
Takuro Tamura
Teruyoshi Hishiki
Shoko Kawamoto
Kousaku Okubo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BodyMap-Xs (http://bodymap.jp) is a database for cross-species gene expression comparison. It was created by the anatomical breakdown of 17 million animal expressed sequence tag (EST) records in DDBJ using a sorting program tailored for this purpose. In BodyMap-Xs, users are allowed to compare the expression patterns of orthologous and paralogous genes in a coherent manner. This will provide valuable insights for the evolutionary study of gene expression and identification of a responsive motif for a particular expression pattern. In addition, starting from a concise overview of the taxonomical and anatomical breakdown of all animal ESTs, users can navigate to obtain gene expression ranking of a particular tissue in a particular animal. This method may lead to the understanding of the similarities and differences between the homologous tissues across animal species. BodyMap-Xs will be automatically updated in synchronization with the major update in DDBJ, which occurs periodically.

Indexed as

Databases, Nucleic AcidExpressed Sequence TagsGene ExpressionAnimalsAnimal StructuresEvolution, MolecularHumansInternetUser-Computer Interface

Identifiers

PMID16381946
PMCPMC1347499

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Registered trials

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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.