Combined Transcriptome and Circulating Tumor DNA Longitudinal Biomarker Analysis Associates With Clinical Outcomes in Advanced Solid Tumors Treated With Pembrolizumab The prognostic model demonstrated ...

RNA sequencing has emerged as a powerful supplement to DNA sequencing for Mendelian disease diagnosis, but clinical translation of diagnostic RNA-seq has not been widely achieved. Researchers at ...

High background noise in RNA samples can impact read accuracy and increase sequencing costs. Optimizing sample quality enables better microRNA mapping and more reliable insights in transcriptomics and ...

This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...

Produced in Partnership with RNA ConnectReviewed by Maria OsipovaOct 10 2025 The UltraMarathonRT ® cDNA Synthesis and Amplification Kit delivers a comprehensive approach for copying polyA+ RNA into ...

Years of experiments and databases filled with RNA-seq results belie the simple reality that, until fairly recently, it was impossible to analyze RNA directly. The RNA-seq studies performed with ...

NGS enables the in-depth analysis of the genome and the identification and investigation of disease-associated variants–especially when workflows include target enrichment, which focuses on specific ...

Single-cell genome sequencing techniques have recently emerged, enabling high-throughput transcriptome profiling at the level of individual cells. Among ...

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...