Testing for Noncoding RNA Improves Cancer Detection
University of California - Santa Cruz
A novel liquid biopsy technology leverages cell-free RNA “dark matter” to enhance cancer diagnosis
RNA analysis
TEQUILA-seq Solves Long-Read RNA Sequencing Woes
Children's Hospital of Philadelphia
Easy-to-implement technology reduces the per-reaction cost of target capture by two to three orders of magnitude as compared to commercial solutions
New Single-Cell Study Reveals Gastric Cancer Microenvironment Dynamics
University of Texas MD Anderson Cancer Center
The study offers deeper understanding of gastric cancer progression and identifies potential therapeutic target
Improve Your Germline Testing by Optimizing DNA Fragmentation
Covaris
Adaptive Focused Acoustics® is a cost-effective, non-invasive, scalable, and unbiased method for robust DNA fragmentation from various sample types
Novel Method Uses Sebum to Diagnose Infant Atopic Dermatitis
Kao Corporation
A breakthrough RNA-monitoring method enables early detection of early-onset atopic dermatitis using sebum biomarkers
More Accurate Computational Tool for Long-Read RNA Sequencing
Children's Hospital of Philadelphia
The tool will allow for better diagnosis of rare genetic diseases caused by disrupted RNA
Early Diagnosis of Neurodegenerative Diseases Could Rely on RNA
Italian Institute of Technology
The correlation between small RNA molecules and aging-related brain diseases has been described
qPCR Analysis Software Improves Molecular Diagnostics Turnaround Time
Today's Clinical Lab
Join Today's Clinical Lab and Pallavi Upadhyay, PhD, to learn about analysis software solutions for automating lab workflows to fulfill high testing demands while mitigating staffing issues
Genetic Test for All Children with Cancer Improves Diagnosis and Treatment
Princess Máxima Center for Pediatric Oncology
Analysis of the entire tumor RNA can detect more relevant genetic changes than traditional methods
New Tool Differentiates between Cancer and Normal Cells using Single-Cell Data
University of Texas MD Anderson Cancer Center
Called CopyKAT, the computational tool enables researchers to gain new insights when analyzing solid tumor samples