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RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
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Related Experiment Video

Updated: Jul 9, 2025

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture

Published on: August 8, 2013

Deep learning and direct sequencing of labeled RNA captures transcriptome dynamics.

Vlastimil Martinek^1,2,3, Jessica Martin^1,4, Cedric Belair¹

¹Laboratory of Genetics and Genomics, National Institute on Aging, Intramural Research Program, National Institutes of Health, Baltimore, MD 21224, USA.

Biorxiv : the Preprint Server for Biology

|November 28, 2023

Summary

This study introduces RNAkinet, a novel deep learning tool for nanopore sequencing. RNAkinet quantifies RNA metabolism dynamics and analyzes RNA decay with cis-regulatory elements at single-molecule resolution.

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Last Updated: Jul 9, 2025

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture

Published on: August 8, 2013

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

Published on: February 2, 2024

Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Understanding RNA metabolism is crucial for gene regulation in health and disease.
Current methods for RNA metabolism analysis have limitations in identifying transient decay intermediates and co-analyzing RNA decay with cis-regulatory elements.

Conclusions:

RNAkinet offers a powerful new approach for studying RNA metabolism dynamics.
This method overcomes limitations of existing techniques, providing single-molecule resolution insights.
The tool facilitates a comprehensive understanding of RNA regulation in various biological contexts.