Evidence map›Paper›PMID 16859521›Full record

ArticleGenome biology2006

A method for high-throughput gene expression signature analysis.

David Peck, Emily D Crawford, Kenneth N Ross, Kimberly Stegmaier, Todd R Golub, Justin Lamb

Abstract read
In one paragraph

Article in Genome biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 117 papers.

0numbers the graph read from it
0cells of the map it votes in
117citing 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

117 citing papers in PubMed.

  1. Article
  2. Review
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  11. Cell Painting predicts impact of lung cancer variants.Molecular biology of the cell · 2022
    Article
  12. Article
  13. Article
  14. Deep Large-Scale Multitask Learning Network for Gene Expression Inference.Journal of computational biology : a journal of computational molecular cell biology · 2021
    Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Gene-signature-derived ICScientific reports · 2020
    Article
  20. Article

57 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

6 authors.

David PeckBroad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA. dpeck@broad.mit.edu
Emily D Crawford
Kenneth N Ross
Kimberly Stegmaier
Todd R Golub
Justin Lamb

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide transcriptional profiling has shown that different biologic states (for instance, disease and response to pharmacologic manipulation) can be recognized by the expression pattern of relatively small numbers of genes. However, the lack of a practical and cost-effective technology for detection of these gene expression 'signatures' in large numbers of samples has severely limited their exploitation in important medical and pharmaceutical discovery applications. Here, we describe a solution based on the combination of ligation-mediated amplification with an optically addressed microsphere and flow cytometric detection system.

Indexed as

Gene Expression ProfilingOligonucleotide Array Sequence AnalysisBase SequenceDNA PrimersHL-60 CellsHumansNucleic Acid HybridizationReproducibility of ResultsRNA, MessengerTranscription, GeneticDNA PrimersRNA, Messenger

Identifiers

PMID16859521
PMCPMC1779561

What OpenQuestion holds

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LicenceCC BY
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.