Unknown,Transcriptomics,Genomics,Proteomics

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Expression profiling of cotton (Gossypium barbadense L. Pima S7) fiber transcriptome during the development


ABSTRACT: To gain novel insights into the molecular mechanisms underlying Pima cotton fiber quality, expression profiling of the Pima fiber transcriptome was performed as a function of development. The profiling was performed at 6 developmental time points: 8, 11, 14, 17, 21, and 24dpa. The expression profiling using long oligonucleotide microarray showed dynamic changes to the fiber transcriptome that correlate to morphogenesis, and biological cellular processes. Differentially expressed genes were identified by being differentially regulated at various stages of fiber development, and they were used to develop stage-specific regulation patterns that correlate the dynamics of gene expression to fiber morphogenesis. A bi-directional double loop hybridization (Kerr and Churchill, 2001) with dye swap experimental design encompassing a total of 28 hybridizations was employed to maximize discovery of significant changes between developmental stages. Self-hybridization controls were conducted to evaluate both within-array correlation and dye bias.

ORGANISM(S): Gossypium barbadense

SUBMITTER: Bulak Arpat 

PROVIDER: E-GEOD-11689 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Double feature selection and cluster analyses in mining of microarray data from cotton.

Alabady Magdy S MS   Youn Eunseog E   Wilkins Thea A TA  

BMC genomics 20080620


<h4>Background</h4>Cotton fiber is a single-celled seed trichome of major biological and economic importance. In recent years, genomic approaches such as microarray-based expression profiling were used to study fiber growth and development to understand the developmental mechanisms of fiber at the molecular level. The vast volume of microarray expression data generated requires a sophisticated means of data mining in order to extract novel information that addresses fundamental questions of biol  ...[more]

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