Daniel Steele – Amycel, “Transcriptional regulation of host root recognition in Triphysaria versicolor“

Akshi Jasani – Grieder Lab, UCSC
“Using Nanopore cDNA sequencing to study yeast telomeric IncRNA and their role in telomere length regulation“

Gail Bai – Brooks Lab, UCSC , “Long-read sequencing approaches to elucidate the contribution of nucleosome positioning to transcription and RNA processing“

Dustin Niblett – Noller Lab, UCSC,
“Reading frame maintenance by a universally conserved nucleotide in 16S rRNA”

Drew Galls – Fire Lab, Stanford

Lyna Kabbani – Sanford Lab, UCSC

Hossein Amiri – Bustamante Lab, UCB

Matt Modena – Arribere Lab, UCSC

Jesse Leavitt – Lowe Lab, UCSC

Diana Escalona – Carpenter Lab, UCSC “Using genetic mouse models to determine GAPLINC’s role in regulating innate immunity”

Roselyn Grosely – Puglisi Lab, Stanford
“Delineating the mechanism of repeat-associated non-AUG translation initiation in C9 ALS”

New study discovers tiny target on RNA to short-circuit inflammation

Paper details high-throughput process for rapid screening, identification of mysterious ‘long non-coding RNA’.

Study offers guidance on state-of-the-art long-read RNA sequencing techniques

Optimizing sequencing methods can help researchers across a variety of biological fields, from conservation science to precision medicine. 

New blood test for noncoding RNA significantly improves cancer detection

A novel liquid biopsy technology developed by Assistant Professor of Biomolecular Engineering Daniel Kim’s lab leverages RNA “dark matter” to enhance cancer diagnosis.

Hallmark cancer gene regulates RNA ‘dark matter’

Novel findings are a promising step in the development of new tests for cancer early detection.

New study discovers cellular activity that hints recycling is in our DNA

Research shows that ‘spliceosomes’ might reinsert problematic gene sequences after removing them

Researchers produce first-ever toolkit for RNA sequencing analysis using a ‘pantranscriptome’

Analyzing a person’s gene expression requires mapping their RNA landscape to a standard reference to gain insight into the degree to which genes are “turned on” and perform functions in the body.