
A major challenge in systems biology is to understand the gene regulatory networks that drive development, physiology and pathology. Interactions between transcription factors and regulatory genomic regions provide the first level of gene control. Gateway-compatible yeast one-hybrid (Y1H) assays present a convenient method to identify and characterize the repertoire of transcription factors that can bind a DNA sequence of interest. To delineate genome-scale regulatory networks, however, large sets of DNA fragments need to be processed at high throughput and high coverage. Here we present enhanced Y1H (eY1H) assays that use a robotic mating platform with a set of improved Y1H reagents and automated readout quantification. We demonstrate that eY1H assays provide excellent coverage and identify interacting transcription factors for multiple DNA fragments in a short time. eY1H assays will be an important tool for mapping gene regulatory networks in Caenorhabditis elegans and other model organisms as well as in humans.
570, Systems Biology, 500, Reproducibility of Results, Genetics and Genomics, DNA, High-Throughput Screening Assays, Gene Expression Regulation, Two-Hybrid System Techniques, Protein Interaction Mapping, Animals, Humans, Gene Regulatory Networks, Caenorhabditis elegans, Transcription Factors
570, Systems Biology, 500, Reproducibility of Results, Genetics and Genomics, DNA, High-Throughput Screening Assays, Gene Expression Regulation, Two-Hybrid System Techniques, Protein Interaction Mapping, Animals, Humans, Gene Regulatory Networks, Caenorhabditis elegans, Transcription Factors
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 115 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
