In Nature this week: high-quality reference genomes for six bat species, machine-learning approach to identify cell types responding to perturbations in single-cell data, and more.
Researchers from South Korea used 10x Genomics' scRNA-seq platform to also find type I IFN-driven inflammatory features in patients with severe influenza.
Transcriptomic and multi-omic data spanning more than 10,000 samples helped map "immunogenomic" interactions that may inform treatment outcomes and targets.
Analyzing transcriptome data from more than 1,000 cells from 74 embryos, a Johns Hopkins University-led team found aneuploid cells in 80 percent of embryos.
Researchers saw similar cell hierarchies and progenitor cell clusters when comparing single-cell RNA sequencing data for cells from glioblastoma tumors and developing brains.
The company will apply its single-cell RNA-seq analytics technology to three distinct cohorts in pursuit of new drug targets for inflammatory bowel disease.
The World Bank is seeking approval for a $12 billion plan to provide low-income nations with funds to procure SARS-CoV-2 vaccines, according to Reuters.
