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Series GSE247147 Query DataSets for GSE247147
Status Public on Apr 24, 2024
Title Systematic identification of transcriptional activation domains from non-transcription factor proteins in plants and yeast
Organism Saccharomyces cerevisiae
Experiment type Other
Summary Transcription factors can promote gene expression through activation domains. Whole-genome screens have systematically mapped activation domains in transcription factors, but not in non-transcription factor proteins (e.g., chromatin regulators, coactivators). To fill this knowledge gap, we employed the activation domain predictor PADDLE to analyze the proteomes of Arabidopsis thaliana and Saccharomyces cerevisiae. We screened 18,000 predicted activation domains from >800 non-transcription factor genes in both species, confirming that 89% of candidate proteins contain active fragments. Our work enables the annotation of hundreds of nuclear proteins as putative coactivators, many of which have never been ascribed any function in plants. Analysis of peptide sequence compositions reveals how the distribution of key amino acids dictates activity. Finally, we validated short, 'universal' activation domains with comparable performance to state-of-the-art activation domains used for genome engineering. Our approach enables the genome-wide discovery and annotation of activation domains that can function across diverse eukaryotes.
 
Overall design To measure transcriptional activation domain activity, we used FACS to separate cells with different GFP levels of a reporter construct. We sequenced the barcodes attached to each activation domain in each sorted population.
 
Contributor(s) Hummel NF, Stefani J, Staller MV, Shih PM
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Nov 06, 2023
Last update date Apr 24, 2024
Contact name Niklas Hummel
Organization name Lawrence Berkeley National Laboratory
Street address 1 Cycloton Road
City Berkeley
ZIP/Postal code 94720
Country USA
 
Platforms (1)
GPL27812 Illumina NovaSeq 6000 (Saccharomyces cerevisiae)
Samples (16)
GSM7884342 Library_induced_1mil_cells_G1_gate
GSM7884343 Library_induced_1mil_cells_G2_gate
GSM7884344 Library_induced_1mil_cells_G3_gate
Relations
BioProject PRJNA1036294

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

Supplementary file Size Download File type/resource
GSE247147_UNFILTERED_BARCODE_AD_DATA_v2.csv.gz 255.1 Mb (ftp)(http) CSV
GSE247147_all_barcodes_activities.csv.gz 1.9 Mb (ftp)(http) CSV
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Raw data are available in SRA

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