Scientists at Berkeley Lab and UC Berkeley have developed a way to spatially map gene expression data to determine a cell’s fate. The method could go far in interrogating human tissue organization and helping elucidate key aspects of development, human health and disease.
A big step in understanding the mysteries of the human genome was unveiled today in the form of three analyses that provide the most detailed comparison yet of how the genomes of the fruit fly, roundworm, and human function. The analyses will likely offer insights into how the information in the human genome regulates development, and how it is responsible for diseases.
Berkeley Lab researchers led the development of a new technique for identifying gene enhancers – sequences of DNA that act to amplify the expression of a specific gene – in the genomes of humans and other mammals. Called SIF-seq, this new technique complements existing genomic tools, such as ChIP-seq, and offers additional benefits.
A consortium led by Berkeley Lab scientists has conducted the largest survey yet of how information encoded in an animal genome is processed in different organs, stages of development, and environmental conditions. Their findings, based on fruit fly research, paint a new picture of how genes function in the nervous system and in response to environmental stress.
A collaboration led by Berkeley Lab’s Jennifer Doudna and Eva Nogales has produced the first detailed look at the 3D structure of the Cas9 enzyme and how it partners with guide RNA to interact with target DNA. The results should enhance Cas9’s value and versatility as a genome-editing tool.
Berkeley researchers have answered a central question about Cas9, an enzyme that plays an essential role in the bacterial immune system and is fast becoming a valuable tool for genetic engineering: How is Cas9 able to precisely discriminate between non-self DNA that must be degraded and self DNA that may be almost identical within genomes that are millions to billions of base pairs long.
A multi-institutional collaboration led by researchers with the Joint BioEnergy Institute (JBEI) and Joint Genome Institute (JGI) has developed a promising technique for identifying microbial enzymes that can effectively deconstruct biomass into fuel sugars under refinery processing conditions.