Evidence map›Paper›PMID 15998913›Full record

ArticleGenome research2005

An atlas of human gene expression from massively parallel signature sequencing (MPSS).

C Victor Jongeneel, Mauro Delorenzi, Christian Iseli, Daixing Zhou, Christian D Haudenschild, Irina Khrebtukova, Dmitry Kuznetsov, Brian J Stevenson, Robert L Strausberg, Andrew J G Simpson and 1 more

Abstract readComparative Study
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 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing 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

85 citing papers in PubMed.

  1. Article
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  10. Comparative study of gastric cancer and chronic gastritis via network analysis.Gastroenterology and hepatology from bed to bench · 2018
    Article
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  15. Review
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  18. Article
  19. Review
  20. Article

25 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

11 authors.

C Victor JongeneelOffice of Information Technology, Ludwig Institute for Cancer Research, and Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland. Victor.Jongeneel@licr.org
Mauro Delorenzi
Christian Iseli
Daixing Zhou
Christian D Haudenschild
Irina Khrebtukova
Dmitry Kuznetsov
Brian J Stevenson
Robert L Strausberg
Andrew J G Simpson
Thomas J Vasicek

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have used massively parallel signature sequencing (MPSS) to sample the transcriptomes of 32 normal human tissues to an unprecedented depth, thus documenting the patterns of expression of almost 20,000 genes with high sensitivity and specificity. The data confirm the widely held belief that differences in gene expression between cell and tissue types are largely determined by transcripts derived from a limited number of tissue-specific genes, rather than by combinations of more promiscuously expressed genes. Expression of a little more than half of all known human genes seems to account for both the common requirements and the specific functions of the tissues sampled. A classification of tissues based on patterns of gene expression largely reproduces classifications based on anatomical and biochemical properties. The unbiased sampling of the human transcriptome achieved by MPSS supports the idea that most human genes have been mapped, if not functionally characterized. This data set should prove useful for the identification of tissue-specific genes, for the study of global changes induced by pathological conditions, and for the definition of a minimal set of genes necessary for basic cell maintenance. The data are available on the Web at http://mpss.licr.org and http://sgb.lynxgen.com.

Indexed as

Gene ExpressionAlgorithmsExpressed Sequence TagsGene Expression ProfilingGenetic TechniquesHumansOrgan SpecificityRNA, MessengerRNA, Messenger

Identifiers

PMID15998913
PMCPMC1172045

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.