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TranscriptomicsInferring gene regulatory logic from high-throughput measurements of thousands of systematically designed promoters
Despite extensive research, our understanding of the rules according to which cis-regulatory sequences are converted into gene expression is limited We devised a method for obtaining parallel, highly accurate gene expression measurements from thousands of designed promoters and applied it to measure...
ORGANISM(S): Saccharomyces cerevisiae 
2012-05-20 | E-GEOD-37851 | biostudies-arrayexpress
TranscriptomicsProbing the effect of promoters on noise in gene expression using thousands of designed sequences
Genetically identical cells exhibit large variability (noise) in gene expression, with important consequences for cellular function. Although the amount of noise decreases with and is thus partly determined by the mean expression level, the extent to which different promoter sequences can deviate aw...
ORGANISM(S): synthetic construct 
2014-07-12 | E-GEOD-55346 | biostudies-arrayexpress
TranscriptomicsMassively parallel interrogation of the effects of gene expression levels on cellular fitness
Data of gene expression levels across individuals, cell types, and disease states is rapidly expanding, yet we have limited understanding of how expression levels impact cellular and organismal phenotypes. Here, we present a massively parallel system for assaying the effect of gene expression levels...
ORGANISM(S): Saccharomyces cerevisiae 
2016-08-25 | E-GEOD-83936 | biostudies-arrayexpress
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