Evidence map›Paper›PMID 12620102›Full record

ArticleGenome biology2003

MicroSAGE is highly representative and reproducible but reveals major differences in gene expression among samples obtained from similar tissues.

Seth Blackshaw, Winston P Kuo, Peter J Park, Motokazu Tsujikawa, Jenny M Gunnersen, Hamish S Scott, Wee-Ming Boon, Seong-Seng Tan, Constance L Cepko

Abstract readComparative StudyValidation Study
In one paragraph

Article in Genome biology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Review
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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.

Seth BlackshawDepartment of Genetics, Harvard Medical School and Howard Hughes Medical Institute, 200 Longwood Avenue, Boston, MA 02115, USA.
Winston P Kuo
Peter J Park
Motokazu Tsujikawa
Jenny M Gunnersen
Hamish S Scott
Wee-Ming Boon
Seong-Seng Tan
Constance L Cepko

Funding

RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
NEI NIH HHS EY0976NLM NIH HHS 5T15 LM07092-07NLM NIH HHS T15 LM007092
6 · The paper itself

Abstract

backgroundSerial analysis of gene expression using small amounts of starting material (microSAGE) has not yet been conclusively shown to be representative, reproducible or accurate.

resultsWe show that microSAGE is highly representative, reproducible and accurate, but that pronounced differences in gene expression are seen between tissue samples taken from different individuals.

conclusionsMicroSAGE is a reliable method of comprehensively profiling differences in gene expression among samples, but care should be taken in generalizing results obtained from libraries constructed from tissue obtained from different individuals and/or processed or stored differently.

Indexed as

3T3 CellsAdultAgedAged, 80 and overAge FactorsAnimalsCell LineComputers, MolecularFemaleGene Expression ProfilingGene LibraryGenes, cdcGenetic VariationHumansMaleMice

Identifiers

PMID12620102
PMCPMC153457

What OpenQuestion holds

Textmetadata
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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.