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Series GSE186378 Query DataSets for GSE186378
Status Public on Oct 31, 2023
Title Model-driven design of synthetic N-terminal coding sequences for fine-tuning gene expression in yeast and bacteria
Organisms Bacillus subtilis; Saccharomyces cerevisiae
Experiment type Other
Summary N-terminal coding sequences (NCS) are key regulatory elements for fine-tuning gene expression during translation initiation, the rate-limiting step of translation. However, due to complex combinatory effects of NCS biophysical factors and endogenous regulation, designing NCS remains challenging. Herein, we implemented multi-view learning strategy for model-driven generation of synthetic NCS for Saccharomyces cerevisiae and Bacillus subtilis, which are model microorganisms widely used in the laboratory and industry.
 
Overall design NCS expression level was measured using a “FACS-seq” reporter-based assay. Libraries of yeast and bacteria cells harboring a plasmid in which GFP expression was driven by Pbs, and randomly-generated NCS were inserted after the start codon (ATG) of GFP. Cells of each strain were FACS-sorted into high and low bins on the basis of expression. Specifically, NCS libraries for S. cerevisiae and B. subtilis has nearly 150,000 cells that were sorted, respectively.
 
Contributor(s) Wang C, Zhang W, Tian R, Zhang J, Zhang L, Deng Z, Liu L, Du G, Liu Y
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Submission date Oct 22, 2021
Last update date Oct 31, 2023
Contact name Yanfeng Liu
E-mail(s) yanfengliu@jiangnan.edu.cn
Phone 86-510-85197117
Organization name Jiangnan University
Street address No.1800, Lihu Avenue
City Wuxi
State/province Jiangsu
ZIP/Postal code 214122
Country China
 
Platforms (2)
GPL27812 Illumina NovaSeq 6000 (Saccharomyces cerevisiae)
GPL30886 Illumina NovaSeq 6000 (Bacillus subtilis)
Samples (4)
GSM5646616 SC_high
GSM5646617 SC_low
GSM5646618 BS_high
Relations
BioProject PRJNA773670
SRA SRP342686

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Supplementary file Size Download File type/resource
GSE186378_RAW.tar 120.0 Kb (http)(custom) TAR (of CSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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