In 2017, researchers believed they had found evidence for the elusive Majorana fermion. Now, a new study found that the exotic class of particles may still be confined to theory.
In the past two decades, scientists have also starting looking at art as a way to keep people mentally and physically healthy. In a report, the World Health Organization points to just how powerful art can be as a therapy. The report has problems but could lend heft and credibility to the field.
Security breach took place on January 7, but the city said it detected the intrusion in time to prevent any damage.
In a shift toward transparency, the National Security Agency announced a bug that could have left over 900 million PCs vulnerable to attack.
How will learning and development cope with the growing trend of humans augmenting their basic capabilities with chemical, electronic, physical, and genetic enhancements?
We’ve been entertained by a never ending stream of Marvel and DC Comics characters with super powers ranging from x-ray vision to mind control. Many of us have also spent time fantasising about the additional capabilities we’d like to help see us through the day. But what happens when those boundaries blur between science fantasy and everyday reality?
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In 2019, many large tech firms announced plans to offer financial products and services. WSJ’s Liz Hoffman explains why Google, Apple, and others are offering products that might someday replace your wallet.
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The neurons in our cortex, the outermost “crust” of our brain, seem to have uniquely evolved to sustain complex computations in their input cables.
A lack of tools to precisely control gene expression has limited our ability to evaluate relationships between expression levels and phenotypes. Here, we describe an approach to titrate expression of human genes using CRISPR interference and series of single-guide RNAs (sgRNAs) with systematically modulated activities. We used large-scale measurements across multiple cell models to characterize activities of sgRNAs containing mismatches to their target sites and derived rules governing mismatched sgRNA activity using deep learning. These rules enabled us to synthesize a compact sgRNA library to titrate expression of ~2,400 genes essential for robust cell growth and to construct an in silico sgRNA library spanning the human genome. Staging cells along a continuum of gene expression levels combined with single-cell RNA-seq readout revealed sharp transitions in cellular behaviors at gene-specific expression thresholds. Our work provides a general tool to control gene expression, with applications ranging from tuning biochemical pathways to identifying suppressors for diseases of dysregulated gene expression.