RNA sequencing

Long-read sequencing uncovered hundreds of thousands of new isoforms not previously identified during development.

Samples are commonly stored in a way that degrades RNA. Scientists are devising new ways to overcome this obstacle for RNA sequencing. 

A member of the lung microbiota releases a peptide that hinders the respiratory pathogen Streptococcus pneumoniae.

Scientists employ an RNA exome panel for a targeted RNA-sequencing approach.

Detection panels that enrich RNA transcripts help scientists achieve sensitive and relevant analyses of cancer-causing gene fusions.

The FOXO1 transcription factor boosts T cells’ memory and reduces dysfunction.

Researchers developed and validated a sequencing method for mRNA vaccines, moving the manufacturing field forward by linking established technologies with translational applications.

Learn how researchers across health-related fields identify and characterize disease-causing genomic variants.

Researchers find that UBQLN2 gene dysfunction causes a virus-like protein to accumulate in cells, which changes gene expression and may contribute to disease progression in amyotrophic lateral sclerosis (ALS).

Genetic analysis techniques give researchers the power to better understand, detect, and treat disease.

Aging cells with weakened gene regulation spuriously transcribe RNAs, but their impact on health and longevity still needs to be examined.

By exploring the inner workings of individual cells, rather than averaging bulk populations, researchers identify rare and important cell subtypes.

Two studies find that tumor-specific antigens are often peptides that result from a splicing event between exons and transposable elements.

A study identifies nearly 3,000 genes where one allele tends to be expressed more than the other, but the findings ignited controversy in the field. 

Where and how human papillomavirus integrates itself into the human genome steers the infection’s clinical outcomes, finds a large, multifaceted study.

Follow the roadmap to successful single cell transcriptomic workflows and outputs.

The MIT biologist studies how RNA molecules self-assemble and the role these accumulations may play in diseases such as ALS and Huntington’s.

A technique for quantifying tumor mRNA production from messy tissue sample data uncovers an unexpected correlation between it and disease stage in 15 cancer types.

The molecular biologist studies how chemical modifications to RNA building blocks change the way RNA regulates complex cellular processes.