Evidence map›Paper›PMID 17211515›Full record

ArticlePlant molecular biology2007

Transcriptional profiling of wheat caryopsis development using cDNA microarrays.

Debbie L Laudencia-Chingcuanco, Boryana S Stamova, Frank M You, Gerard R Lazo, Diane M Beckles, Olin D Anderson

Abstract read
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In one paragraph

Article in Plant molecular biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
9.6field-weighted citation impact, top 2% of its field
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

42 citing papers in PubMed, 89 citations in OpenAlex.

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  18. Genetic and molecular bases of yield-associated traits: a translational biology approach between rice and wheat.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2014
    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

6 authors at 2 institutions in 1 country.

Debbie L Laudencia-ChingcuancoGenomics and Gene Discovery, USDA-ARS-WRRC, 800 Buchanan Street, Albany, CA 94710, USA. dlc@pw.usda.gov
Boryana S Stamova
Frank M You
Gerard R Lazo
Diane M Beckles
Olin D Anderson
University of California, Davis · USAgricultural Research Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The expression of 7,835 genes in developing wheat caryopses was analyzed using cDNA arrays. Using a mixed model analysis of variance (ANOVA) method, 29% (2,237) of the genes on the array were identified to be differentially expressed at the 6 different time-points examined, which covers the developmental stages from coenocytic endosperm to physiological maturity. Comparison of genes differentially expressed between two time-points revealed a dynamic transcript accumulation profile with major re-programming events that occur at 3-7, 7-14 and 21-28 DPA. A k-means clustering algorithm grouped the differentially expressed genes into 10 clusters, revealing co-expression of genes involved in the same pathway such as carbohydrate and protein synthesis or preparation for desiccation. Functional annotation of genes that show peak expression at specific time-points correlated with the developmental events associated with the respective stages. Results provide information on the temporal expression during caryopsis development for a significant number of differentially expressed genes with unknown function.

Indexed as

Oligonucleotide Array Sequence AnalysisTranscription, GeneticDNA, ComplementaryDNA, PlantGene Expression ProfilingGenetic MarkersNucleic Acid HybridizationRNA, PlantTriticumDNA, ComplementaryDNA, PlantGenetic MarkersRNA, Plant

Identifiers

PMID17211515
OpenAlexW2165160605

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.