Magnaporthe and Rice Gene Expression Microarrays
RUO
Magnaporthe grisea is the cause of rice blast, the most devastating disease of rice worldwide. This fungal pathogen is highly tractable and serves as model to study plant disease. The microarray contains probes targeting 15,170 predicted Magnaporthe genes, and 6,325 rice probes designed after ESTs of rice genes.
The Magnaporthe (V2) microarray is the first of its kind, allowing analysis of gene expression profiles in both the host and pathogen simultaneously. Research conducted using this 'interactions' chip will facilitate enhanced management of fungal pathogens and the improvement of disease resistant rice.
The Magnaporthe (V2) microarray is the first of its kind, allowing analysis of gene expression profiles in both the host and pathogen simultaneously. Research conducted using this 'interactions' chip will facilitate enhanced management of fungal pathogens and the improvement of disease resistant rice.
For Research Use Only. Not for use in diagnostic procedures.
- Bacteria & Fungi Microarrays
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Product Details
Features
- Genome-wide coverage of Magnaporthe grisea plus inclusion of relevant rice genes in a single microarray
- Unparalleled sensitivity in a microarray for detecting genes with low expression levels - delivered by Agilents unique 60-mer oligonucleotide probe format
- Consistent feature (spot) quality from microarray-to-microarray yielding results you can trust
- Accessible format - microarrays on barcoded, 1" x 3" (25 mm x 75 mm) glass slides
- 15,170 M. grisea and 6,325 rice probes represented
- formatted as 4x44K high-definition array
- Magnaporthe probes have been annotated by the Fungal Genomics Laboratory at North Carolina State University. In addition, there are included annotations from the Whitehead Institute at the Massachusetts Institute of Technology (M. grisea Version 4.0, October 2003).
- Rice ESTs were derived from cDNA generated at the Ohio State University from uninfected as well as M. grisea-infected rice tissue and sequenced at the University of Arizonas Plant Genomics Institute.
- Content sourced from: RefSeq, 2003, GenBank, 2003, MGOS database, 2003
- To order, specify PN G2519F and Array ID corresponding to the desired array - ID 015060
Literature
- Application Notes
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ERCC Spike-In Control Transcripts Provides Confidence in Agilent Microarray and RNA-Seq Gene Expression Data
Data generated by the Sequencing Quality Control Consortium (SEQC) has shown that RNA-Seq and microarray-based gene expression models are comparable in clinical endpoint prediction performance.
- Application Notes
- English
- 21 Feb 2020
- 6.21 MB
Ultra-low Input Total RNA Gene Expression Analysis Using the Agilent SurePrint G3 Human Gene Expression Microarray
In this study, we modified the existing gene expression microarray protocol to allow processing of samples starting from 250 pg of total RNA.
- Application Notes
- English
- 20 Nov 2019
- 1.72 MB
Support
- User Manuals
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One-Color Microarray-Based Gene Expression Analysis v.6.9.1
One-Color Microarray-Based Gene Expression Analysis 6.9.1
- User Manuals
- English
- 31 Mar 2016
- 5.07 MB
Two-Color Microarray-Based Gene Expression Analysis v.6.9.1
Two-Color Gene Expression Protocol 6.9
- User Manuals
- English
- 17 Dec 2015
- 1.71 MB
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