ArticleMethods in molecular biology (Clifton, N.J.)2027
Guidelines to Study Transcriptome Remodeling by Proteins Using Deep Sequencing (RNA-Seq).
Article in Methods in molecular biology (Clifton, N.J.), 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
RNA remodeling proteins (RRPs) are key regulators of RNA metabolism, often exerting broad, pleiotropic effects on the cellular transcriptome. Deep RNA sequencing (RNA-seq) has become a standard approach for investigating these effects on a global scale, particularly for identifying patterns of differential gene expression or splicing associated with RRP activity. In this chapter, we outline best-practice guidelines for designing and executing RNA-seq experiments, integrating bench and computational steps into a rigorous workflow. Data generated through this process provide a strong foundation for deploying other advanced approaches such as CLIP-seq or SHAPE-seq to uncover RRP targets, elucidate RRP functions, or detect RNA structural changes at global scale.
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