Literature DB >> 15086809

Development and evaluation of an Arabidopsis whole genome Affymetrix probe array.

Julia C Redman1, Brian J Haas, Gene Tanimoto, Christopher D Town.   

Abstract

We describe the development of a high-density Arabidopsis'whole genome' oligonucleotide probe array for expression analysis (the Affymetrix ATH1 GeneChip probe array) that contains approximately 22 750 probe sets. Precedence on the array was given to genes for which either expression evidence or a credible database match existed. The remaining space was filled with 'hypothetical' genes. The new ATH1 array represents approximately 23 750 genes of which 60% were detected in RNA from cultured seedlings. Sensitivity of the array, determined using spiking controls, was approximately one transcript per cell. The array demonstrated high technical reproducibility and concordance with real-time PCR results. Indole-3 acetic acid (IAA)-induced changes in gene expression were used for biological validation of the array. A total of 222 genes were significantly upregulated and 103 significantly downregulated by exposure to IAA. Of the genes whose products could be functionally classified, the largest specific classes of upregulated genes were transcriptional regulators and protein kinases, many fewer of which were represented among the downregulated genes. Over one-third of the auxin-regulated genes have no known function, although many belong to gene families with members that have previously been shown to be auxin regulated. For the 6714 genes represented both on this and the earlier Arabidopsis Genome (AG) array, both signal intensities and gene expression ratios were very similar. Mapping of the oligonucleotides on the ATH1 array to the latest (version 4.0) annotation showed that over 95% of the probe sets (based on version 2.0 annotation) still fully represented their original target genes.

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Year:  2004        PMID: 15086809     DOI: 10.1111/j.1365-313X.2004.02061.x

Source DB:  PubMed          Journal:  Plant J        ISSN: 0960-7412            Impact factor:   6.417


  120 in total

1.  GENEVESTIGATOR. Arabidopsis microarray database and analysis toolbox.

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2.  Identification of inhibitors of auxin transcriptional activation by means of chemical genetics in Arabidopsis.

Authors:  Joshua I Armstrong; Shiaulou Yuan; Joseph M Dale; Vanessa N Tanner; Athanasios Theologis
Journal:  Proc Natl Acad Sci U S A       Date:  2004-10-04       Impact factor: 11.205

3.  Screening of tissue-specific genes and promoters in tomato by comparing genome wide expression profiles of Arabidopsis orthologues.

Authors:  Chan Ju Lim; Ha Yeon Lee; Woong Bom Kim; Bok-Sim Lee; Jungeun Kim; Raza Ahmad; Hyun A Kim; So Young Yi; Cheol-Goo Hur; Suk-Yoon Kwon
Journal:  Mol Cells       Date:  2012-06-12       Impact factor: 5.034

4.  Global analysis of gene activity during Arabidopsis seed development and identification of seed-specific transcription factors.

Authors:  Brandon H Le; Chen Cheng; Anhthu Q Bui; Javier A Wagmaister; Kelli F Henry; Julie Pelletier; Linda Kwong; Mark Belmonte; Ryan Kirkbride; Steve Horvath; Gary N Drews; Robert L Fischer; Jack K Okamuro; John J Harada; Robert B Goldberg
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-12       Impact factor: 11.205

5.  Twenty-first century plant biology: impacts of the Arabidopsis genome on plant biology and agriculture.

Authors:  C Robin Buell; Robert L Last
Journal:  Plant Physiol       Date:  2010-10       Impact factor: 8.340

6.  Comparison of transcript profiling on Arabidopsis microarray platform technologies.

Authors:  Jeffrey D Pylatuik; Pierre R Fobert
Journal:  Plant Mol Biol       Date:  2005-07       Impact factor: 4.076

7.  Microarray-based rapid cloning of an ion accumulation deletion mutant in Arabidopsis thaliana.

Authors:  Ji-Ming Gong; David A Waner; Tomoaki Horie; Shi Lun Li; Rie Horie; Khush B Abid; Julian I Schroeder
Journal:  Proc Natl Acad Sci U S A       Date:  2004-10-14       Impact factor: 11.205

8.  A kinetic analysis of the auxin transcriptome reveals cell wall remodeling proteins that modulate lateral root development in Arabidopsis.

Authors:  Daniel R Lewis; Amy L Olex; Stacey R Lundy; William H Turkett; Jacquelyn S Fetrow; Gloria K Muday
Journal:  Plant Cell       Date:  2013-09-17       Impact factor: 11.277

9.  VirtualPlant: a software platform to support systems biology research.

Authors:  Manpreet S Katari; Steve D Nowicki; Felipe F Aceituno; Damion Nero; Jonathan Kelfer; Lee Parnell Thompson; Juan M Cabello; Rebecca S Davidson; Arthur P Goldberg; Dennis E Shasha; Gloria M Coruzzi; Rodrigo A Gutiérrez
Journal:  Plant Physiol       Date:  2009-12-09       Impact factor: 8.340

10.  Evaluation of gene association methods for coexpression network construction and biological knowledge discovery.

Authors:  Sapna Kumari; Jeff Nie; Huann-Sheng Chen; Hao Ma; Ron Stewart; Xiang Li; Meng-Zhu Lu; William M Taylor; Hairong Wei
Journal:  PLoS One       Date:  2012-11-30       Impact factor: 3.240

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