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A multi-omic analysis implicated a handful of transcription factors, along with genes and regulatory RNAs down- and upstream of them, in metastatic colorectal cancer.
In a set of new studies, members of an international team mapped gene variation, expression, and regulatory interactions in developing and adult human brains.
The researchers hope the datasets from their study can help to explain the effects of disease-associated variants on specific cell types of the immune system.
Researchers identified immune activity changes in first-trimester placenta and decidua samples profiled through single-cell RNA sequencing.
Researchers used an integrated analysis to find regulatory and transcriptional networks coinciding with specific DNA mutation subtypes in AML.
GWAS summary statistics data led to three main loci with ties to both Alzheimer's and cardiovascular disease, with additional enrichment at lipid-related sites.
Researchers identified 133 neuronal and non-neuronal cell types using single-cell RNA-seq data for tens of thousands of cells from the mouse neocortex.
The team's Pro-Code system enabled simultaneous high-dimensional protein-level phenotyping of hundreds of genes with single-cell resolution.
Using single-cell RNA sequencing and lineage tracing in a mouse model, researchers followed skin stem cell expression patterns in response to skin injury.
The new RNA sequencing analysis workflow integrates Roche's RNA-seq library kits with Genialis' automated data processing pipeline for gene expression analyses.
Nature News reports that genomics is being applied to trace and try to prevent additional COVID-19 waves.
Rady's Children Hospital and San Diego County are teaming up to test pediatric patients and their families for COVID-19 to gauge the spread of the virus locally, according to the San Diego Union-Tribune.
Wildlife managers aim to boost the genetic diversity of Mexican gray wolves by placing captive-born foster pups into packs with similarly aged wild pups, the Mercury News reports.
In Science this week: Genetic Probability tool identifies likely diagnoses in 45 percent of inflammatory arthritis cases, and more.