Evidence map›Paper›PMID 11076866›Full record

ArticleGenome research2000

BodyMap: a collection of 3' ESTs for analysis of human gene expression information.

S Kawamoto, J Yoshii, K Mizuno, K Ito, Y Miyamoto, T Ohnishi, R Matoba, N Hori, Y Matsumoto, T Okumura and 16 more

Abstract read
In one paragraph

Article in Genome research, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. FANTOM5 transcriptome catalog of cellular states based on Semantic MediaWiki.Database : the journal of biological databases and curation · 2016
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Fine expression profiling of full-length transcripts using a size-unbiased cDNA library prepared with the vector-capping method.DNA research : an international journal for rapid publication of reports on genes and genomes · 2008
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

26 authors.

S KawamotoInstitute for Molecular and Cellular Biology, Osaka University, Osaka 565-0871, Japan.
J Yoshii
K Mizuno
K Ito
Y Miyamoto
T Ohnishi
R Matoba
N Hori
Y Matsumoto
T Okumura
Y Nakao
H Yoshii
J Arimoto
H Ohashi
H Nakanishi
I Ohno
J Hashimoto
K Shimizu
K Maeda
H Kuriyama
K Nishida
A Shimizu-Matsumoto
W Adachi
R Ito
S Kawasaki
K S Chae

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BodyMap is a collection of site-directed 3' expressed sequence tags (ESTs) (gene signatures, GSs) that contains the transcript compositions of various human tissues and was the first systematic effort to acquire gene expression data. For the construction of BodyMap, cDNA libraries were made, preserving abundance information and histologic resolutions of tissue mRNAs. By sequencing 164,000 randomly selected clones, 88,587 GSs that represent chromosomally coded transcripts have been collected from 51 human organs and tissues. They were clustered into 18,722 independent 3' termini from transcripts, and more than 3000 of these were not found among ESTs assembled in UniGene (Build 75). Assessment of the prevalence of polyadenylation signals and comparison with GenBank cDNAs indicated that there was no significant contamination by internally primed cDNAs or genomic fragments but that there was a relatively high incidence (12%) of alternative polyadenylation sites. We evaluated the sensitivity and resolution of expression information in BodyMap by in silico Northern hybridization and selection of tissue-specific gene probes. BodyMap is a unique resource for estimation of the absolute abundance of transcripts and selection of gene probes for efficient hybridization-based gene expression profiling.

Indexed as

Expressed Sequence Tags3' Untranslated RegionsCloning, MolecularComputational BiologyDatabases, FactualDNA, ComplementaryGene Expression ProfilingGenesHumansOrgan SpecificitySensitivity and Specificity3' Untranslated RegionsDNA, Complementary

Identifiers

PMID11076866
PMCPMC310944

What OpenQuestion holds

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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.