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Large-Scale Mapping and Validation of Escherichia coli Transcriptional Regulation from a Compendium of Expression Profiles
TLDR
The compendium of expression data compiled in this study, coupled with RegulonDB, provides a valuable model system for further improvement of network inference algorithms using experimental data. Expand
Construction of a genetic toggle switch in Escherichia coli
TLDR
The construction of a genetic toggle switch is presented—a synthetic, bistable gene-regulatory network—in Escherichia coli and a simple theory is provided that predicts the conditions necessary for bistability. Expand
A Common Mechanism of Cellular Death Induced by Bactericidal Antibiotics
TLDR
The results suggest that all three major classes of bactericidal drugs can be potentiated by targeting bacterial systems that remediate hydroxyl radical damage, including proteins involved in triggering the DNA damage response, e.g., RecA. Expand
Wisdom of crowds for robust gene network inference
TLDR
A comprehensive blind assessment of over 30 network inference methods on Escherichia coli, Staphylococcus aureus, Saccharomyces cerevisiae and in silico microarray data defines the performance, data requirements and inherent biases of different inference approaches, and provides guidelines for algorithm application and development. Expand
Highly efficient reprogramming to pluripotency and directed differentiation of human cells with synthetic modified mRNA.
TLDR
It is shown that this approach can reprogram multiple human cell types to pluripotency with efficiencies that greatly surpass established protocols and represents a safe, efficient strategy for somatic cell reprogramming and directing cell fate that has broad applicability for basic research, disease modeling, and regenerative medicine. Expand
Stochasticity in gene expression: from theories to phenotypes
TLDR
Stochasticity in gene expression can provide the flexibility needed by cells to adapt to fluctuating environments or respond to sudden stresses, and a mechanism by which population heterogeneity can be established during cellular differentiation and development. Expand
How antibiotics kill bacteria: from targets to networks
TLDR
The multilayered effects of drug–target interactions, including the essential cellular processes that are inhibited by bactericidal antibiotics and the associated cellular response mechanisms that contribute to killing are discussed. Expand
Noise in eukaryotic gene expression
TLDR
It is shown that stochasticity (noise) arising from transcription contributes significantly to the level of heterogeneity within a eukaryotic clonal population, in contrast to observations in prokaryotes, and that such noise can be modulated at the translational level. Expand
Inferring Genetic Networks and Identifying Compound Mode of Action via Expression Profiling
TLDR
Systematic transcriptional perturbations are used to construct a first-order model of regulatory interactions in a nine-gene subnetwork of the SOS pathway in Escherichia coli that provides a framework for elucidating the functional properties of genetic networks and identifying molecular targets of pharmacological compounds. Expand
Nucleic acid detection with CRISPR-Cas13a/C2c2
TLDR
A Cas13a-based molecular detection platform, termed Specific High-Sensitivity Enzymatic Reporter UnLOCKing (SHERLOCK), is used to detect specific strains of Zika and Dengue virus, distinguish pathogenic bacteria, genotype human DNA, and identify mutations in cell-free tumor DNA. Expand
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