FUN-PROSE – predicting the response of fungal genes
Signals from the environment set off a cascade of changes that affect different genes in…
Browsing: Commentary
INVADEseq – cataloging bacterial diversity within tumor samples
It is said in Spanish, “si no existe, créalo” or “if it does not exist,…
RNA sequencing identifies genetic effects of traumatic brain injury using an artificial brain
The severity of traumatic brain injury (TBI) has been underscored in the last decade as…
Researchers develop new method to identify and remove background noise from single cell data
CITE-seq (cellular indexing of transcriptomes and epitopes) is an RNA sequencing-based method that simultaneously quantifies…
UC Irvine researchers discover how to better support lab grown muscle cells after transplantation
Lab-grown skeletal muscle cells transplanted into mice with a muscular dystrophy for 90 days are…
Combined RNA sequencing and artificial intelligence predicts changes in gene expression as cells interact
The cells that make up our bodies are constantly communicating with each other, sometimes directly…
TEMPO approach integrates microvolume liquid-biopsy proteomics, single-cell transcriptomics, and artificial intelligence
Stanford’s Mahajan Lab’s new artificial intelligence (AI) driven eye “aging clock” has revealed that diseased…
Single-cell RNA sequencing reveals a molecular blueprint of circuits governing locomotor speed
Researchers at Karolinska Institutet, Sweden have uncovered the molecular logic underpinning the assembly of spinal…
Researchers use RNA-Seq to discover new molecular drug targets for progressive neurological disorder
There is no cure for progressive supranuclear palsy (PSP), a brain disorder marked by walking and balance…
In what ways can adding RNA sequencing to germline genetic testing improve accuracy and clinical sensitivity over time compared to DNA sequencing alone?
Expanding the clinical use of RNA sequencing improves diagnostic yield, reduces inconclusive rates, and improves…