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Series GSE95730 Query DataSets for GSE95730
Status Public on Oct 16, 2017
Title Differences in DNA-binding specificity of floral homeotic protein complexes predict organ-specific target genes
Organism synthetic construct
Experiment type Other
Summary Floral organ identities in plants are specified by the combinatorial action of homeotic master regulatory transcription factors (TFs). How these factors achieve their regulatory specificities is however still largely unclear. Genome-wide in vivo DNA binding data show that homeotic MADS-domain proteins recognize partly distinct genomic regions, suggesting that DNA binding specificity contributes to functional differences of homeotic protein complexes. We used in vitro systematic evolution of ligands by exponential enrichment followed by high throughput DNA sequencing (SELEX-seq) on several floral MADS-domain protein homo- and heterodimers to measure their DNA-binding specificities. We show that specification of reproductive organs is associated with distinct binding preferences of a complex formed by SEPALLATA3 (SEP3) and AGAMOUS (AG). Binding specificity is further modulated by different binding site (BS) spacing preferences. Combination of SELEX-seq and genome-wide DNA binding data allows to differentiate between targets in specification of reproductive versus perianth organs in the flower. We validate the importance of DNA-binding specificity for organ-specific gene regulation by modulating promoter activity through targeted mutagenesis. Our study shows that intrafamily protein interactions affect DNA-binding specificity of floral MADS-domain proteins. DNA-binding specificity of individual dimers, as well as DNA-binding preferences of higher-order complexes differ between floral homeotic protein complexes. Differential DNA-binding of MADS-domain protein complexes plays a role in the specificity of target gene regulation.
 
Overall design SELEX-seq for MADS-domain protein homo- and heterocomplexes using random pool of DNA and in vitro synthetized proteins.
 
Contributor(s) Smaczniak C, Muiño JM, Chen D, Angenent GC, Kaufmann K
Citation(s) 28733422
Submission date Mar 06, 2017
Last update date May 15, 2019
Contact name Jose M. Muino
E-mail(s) jose.muino@hu-berlin.de
Organization name Humboldt University
Department Department of Biology
Street address Rhoda-⁠Erdmann-⁠Haus (Haus 22); R 1216 Philippstr. 11-⁠13;
City Berlin
ZIP/Postal code 10115
Country Germany
 
Platforms (2)
GPL9423 Illumina Genome Analyzer II (synthetic construct)
GPL15228 Illumina HiSeq 2000 (synthetic construct)
Samples (28)
GSM2522790 AG-AGe2-R0
GSM2522791 AG-AGe2-R1
GSM2522792 AG-AGe2-R2
Relations
BioProject PRJNA378233
SRA SRP101438

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE95730_AG-AGe2kaR3vsR0Kmer12Order6n10NANofilter.csv.gz 17.6 Mb (ftp)(http) CSV
GSE95730_AP1-AP1e2kaR3vsR0Kmer12Order6n10NANofilter.csv.gz 30.3 Mb (ftp)(http) CSV
GSE95730_SEP3-AGe1C1kaR3vsR0Kmer12Order6n10NANofilter.csv.gz 10.2 Mb (ftp)(http) CSV
GSE95730_SEP3-AGe1C6kaR3vsR0Kmer12Order6n10NANofilter.csv.gz 9.4 Mb (ftp)(http) CSV
GSE95730_SEP3-AGe2kaR3vsR0Kmer12Order6n10NANofilter.csv.gz 21.2 Mb (ftp)(http) CSV
GSE95730_SEP3-AP1e1C12kaR3vsR0Kmer12Order6n10NANofilter.csv.gz 5.3 Mb (ftp)(http) CSV
GSE95730_SEP3-SEP3e1B7kaR3vsR0Kmer12Order6n10NANofilter.csv.gz 4.8 Mb (ftp)(http) CSV
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Processed data are available on Series record

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