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POND-seq enables non-destructive RNA sequencing of living cells, allowing repeated measurement of transcriptomes and RNA-binding protein interactions as cells respond to changing c...
Tidesurf improves RNA sequencing analysis by accurately quantifying spliced and unspliced transcripts across 3' and 5' protocols for more reliable RNA velocity estimates...
A new RNA sequencing workflow using nanopore technology improves full-length lncRNA isoform discovery, revealing many previously undetected transcripts missed by conventional short...
RNA sequencing model NB-Lib predicts sequencing depth requirements from shallow pilot data while accounting for library complexity, amplification differences, and molecular recover...
RNA sequencing reveals how capped precursor tRNAs respond to heat stress and regulate protein synthesis by competing with messenger RNA for translation machinery...
RNA sequencing benchmark compares long-read bioinformatics tools for single-cell and spatial transcriptomics, helping researchers improve isoform detection and gene...
A new framework adapts RNA sequencing analysis for Record-seq, improving spacer extraction, transcription-unit quantification, normalization, differential expression, and modeling...
RNA sequencing reveals that calorie restriction drives dose-responsive alternative splicing across multiple tissues, affecting mitochondrial, translational, and RNA quality-control...
by Paul R. Munn, Jay Chia, Charles G. Danko Functional element annotations are critical tools used to provide insight into the molecular processes governing cell development, diff...
A newly engineered ribozyme repairs broken RNA, creating new opportunities for studying RNA evolution while improving the detection of damaged molecules through RNA sequencing...
Baylor Genetics webinar explores how RNA sequencing can complement genome sequencing to clarify uncertain variants and help address diagnostic gaps in rare genetic...
Direct RNA sequencing revealed thousands of chimeric mRNAs in mammalian cells, uncovering previously unknown proteins with roles in immunity, inflammation, and potential drug disco...
Spatial RNA sequencing maps RNA synthesis and degradation across the mouse brain, revealing how different regions rapidly adjust gene expression in response to stimulation...
Long-read RNA sequencing combined with practical quality-control measures reduces mapping bias and improves the accuracy of allele-specific gene expression measurements...
Machine learning improves interpretation of RNA sequencing data, helping researchers accurately identify active genes, non-coding RNAs, and other transcription units...
Live-cell RNA sequencing uses engineered virus-like particles to repeatedly sample transcriptomes without destroying cells, enabling researchers to track gene expression changes ov...
Combining short- and long-read RNA sequencing reveals how aging alters gene expression, splicing, and transcription, providing new insights into the molecular processes that drive...
The PROPEL program aims to control gene expression through RNA structure, building logic-gated RNA therapies that switch on only where and when intended, without altering the genom...
Researchers at Johns Hopkins University identified a reverse transcription artifact that can distort RNA sequencing and RT-qPCR...
Amaranth improves transcript reconstruction from RNA sequencing data by modeling different read types, enabling more accurate isoform analysis at single-cell resolution...
RNA sequencing combined with spatial genotyping mapped where neoantigen-specific T cells interact with tumor cells, revealing organized immune niches that may guide personalized ca...
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