Olga Anczukow and Ryan Englander discuss how transcriptome splicing affects immune system function in lung cancer.

The answer depends on the questions you’re trying to answer, as well as the origin, quantity, and quality of your samples. In this article, we’ll briefly discuss several RNA-seq workflows, how they ...

Samples are commonly stored in a way that degrades RNA. Scientists are devising new ways to overcome this obstacle for RNA sequencing. RNA is more subject to degradation than DNA, whether chemical, ...

Starting from whole plant tissues and dissociating cells (protoplasts) or nuclei from the tissue, RNA extraction, cDNA synthesis by reverse transcription, library preparation followed by sequencing, ...

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 ...

High-resolution RNA analysis using next-generation sequencing (RNA-seq) offers a comprehensive assessment of the transcriptome, allowing for quantification of global gene expression. The utility of ...

Morgan Hiebert (left) studies drug-resistant tuberculosis within the National Reference Centre for Mycobacteriology (Winnipeg, Manitoba) led by Hafid Soualhine, situated in the National Microbiology ...

RNA sequencing is a powerful tool that helps researchers uncover novel biological insights into the transcriptome. This free eBook allows readers to learn about RNA sequencing (RNA-Seq) by explaining ...

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 ...

An individual’s genome is identifiable. But datasets of RNA sequences from single cells are like a blurry photocopy of the genome. The sequence numbers are small, the data are noisy, and the sequences ...