Evidence map›Paper›PMID 11860215›Full record

ReviewPlant molecular biology2002

Comprehensive gene expression analysis by transcript profiling.

Jonathan Donson, Yiwen Fang, Gregg Espiritu-Santo, Weimei Xing, Andres Salazar, Susie Miyamoto, Veronica Armendarez, Wayne Volkmuth

Abstract readReview
PubMed
In one paragraph

Review in Plant molecular biology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. cDNA-AFLP-based genetical genomics in cotton fibers.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2012
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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

8 authors.

Jonathan DonsonCeres, Inc., Malibu, CA 90265, USA. jdonson@ceres-inc.com
Yiwen Fang
Gregg Espiritu-Santo
Weimei Xing
Andres Salazar
Susie Miyamoto
Veronica Armendarez
Wayne Volkmuth

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After the completion of the genomic sequence of Arabidopsis thaliana, it is now a priority to identify all the genes, their patterns of expression and functions. Transcript profiling is playing a substantial role in annotating and determining gene functions, having advanced from one-gene-at-a-time methods to technologies that provide a holistic view of the genome. In this review, comprehensive transcript profiling methodologies are described, including two that are used extensively by the authors, cDNA-AFLP and cDNA microarraying. Both these technologies illustrate the requirement to integrate molecular biology, automation, LIMS and data analysis. With so much uncharted territory in the Arabidopsis genome, and the desire to tackle complex biological traits, such integrated systems will provide a rich source of data for the correlative, functional annotation of genes.

Indexed as

Gene Expression ProfilingTranscription, GeneticGenome, PlantOligonucleotide Array Sequence AnalysisPlantsSequence Analysis, DNA

Identifiers

PMID11860215

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.