In Science this week: series of reviews about gene modification, and more.
HuBMAP is not anticipated to map the entire body, but to provide a framework for more complete mapping and make data available to the research community.
Nucleosome organization appears to follow two principles, according to the researchers' analyses of three different cell types.
Using a new machine-learning approach, researchers from the Sanford Burnham Prebys Medical Discovery Institute analyzed brain cells obtained from mice during neurogenesis.
The Durham, North Carolina-based startup's platform uses an image-based, tissue box-sized tool that cultures cells to capture long-term phenotypic behavior.
The RNA-seq data, for nearly 40,000 cells from the developing mouse brain, can be explored through an interactive online interface called Cell Seek.
The firm will use the funds to advance its high-throughput single-cell analysis platform to analyze heterogeneity in cell populations for research and drug discovery.
The assay will combine the company's CytoSort assay with its automated AIR system for imaging, sorting, and isolating single cells and small colonies.
Fueled by an NIH SBIR grant, analytics firm Cytobank is building out its machine-learning algorithms and adding pipelines to support big-picture research.
The researchers found that the diversity of epithelial cell types was reduced in nasal polyps, which contained few glandular and ciliated cells and were enriched in basal cells.
The Washington Post reports that a US Senate committee voted this week to approve the nomination of Stephen Hahn to lead the Food and Drug Administration.
Nature News reports that gene therapy approaches are tackling sickle cell disease, but that the cost of treatment is a concern.
One gene regulates hundreds of others to influence facial development, according to New Scientist.
In Nature this week: resources for single-cell analysis, little overlap in the microRNAs used by Salmonella and Shigella to infect host cells, and more.