Study : Prediction of Auxin-Ethylene Crosstalk Mediators Using Meta-Analysis of Hormone-Induced Transcriptome Data in Arabidopsis

Identification

• Name: Prediction of Auxin-Ethylene Crosstalk Mediators Using Meta-Analysis of Hormone-Induced Transcriptome Data in Arabidopsis
• Identifier: dXJuOkVWQS9zdHVkeS9QUkpOQTYyODYyNQ==
• Data link: Link to this study on EBI European Nucleotide Archive
• Description: Plant hormones auxin and ethylene are the key regulators of plant growth and development, and their crosstalk is essential for numerous processes. Large-scale identification of new molecular targets in this crosstalk and their characterization is a tempting idea. To address this issue, we combined our own and publicly available Arabidopsis thaliana transcriptome data on auxin and ethylene treatments in a meta-analysis. Overall design: mRNA profiles of 3-dag mock and 1h IAA treated Arabidopsis roots were generated by RNA sequencing, in triplicate, with two runs (technical replicates) for each biological replicate, using Illumina HiSeq2000 technology
• Data files: SRR11614728; SRR11614729; SRR11614726; SRR11614727; SRR11614724; SRR11614725; SRR11614722; SRR11614723; SRR11614720; SRR11614721; SRR11614718; SRR11614719