
Cotton Gene Expression Microarrays
RUO
Cotton is the worlds most significant textile and oilseed crop and Gossypium hirsutum is the most widely cultivated cotton. Genetic improvement of cotton fiber production for increased yield & quality has major economic impact. Cotton is a model for plant genome evolution, polyploidization and cellulose biosynthesis.
Gene expression analysis using Agilents highly sensitive Cotton Microarray is a critical tool functional genomic research and breeding. Oligonucleotide quality, probe design and protocol flexibility allow us to obtain wide dynamic range, and unmatched sensitivity and reproducibility.
Gene expression analysis using Agilents highly sensitive Cotton Microarray is a critical tool functional genomic research and breeding. Oligonucleotide quality, probe design and protocol flexibility allow us to obtain wide dynamic range, and unmatched sensitivity and reproducibility.
For Research Use Only. Not for use in diagnostic procedures.
- Plant Microarrays
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This product is not available for purchase by the general public.
Product Details
Features
- 43,803 cotton probes represented
- Formatted as 4x44 K high-definition microarrays on barcoded, 1' x 3' (25 mm x 75 mm) glass slides
- Widest dynamic range of over 5 logs ensures detection of low and high expressors to accurately represent the range of expression levels
- Consistent feature (spot) quality from microarray-to-microarray yielding results you can trust
- Access probe sequence and annotation information easily through Agilents website
- Content sourced from: RefSeq (Release 31), Sep 10, 2008 / UniGene (Build 9), Nov 18, 2008 / TIGR Plant Transcript Assemblies (Release 3), Sep 28, 2006 / TIGR Gene Indices (Release 9), May 31, 2008
- To order, specify PN G2519F and Array ID corresponding to the desired array ID 022523
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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