What question did this study set out to answer?

Review the broad spectrum of RNA sequencing methods used to analyze gene expression, identify novel RNA species, and investigate RNA biogenesis and metabolism.

May 19, 2016Wiley Interdisciplinary Reviews - RNAOpen Access

RNA‐Seq methods for transcriptome analysis

View Full Paper

Ask AI

Bookmark

Authors

RHRadmila HrdličkováBio-Rad (United States)MTMasoud ToloueWadsworth Center BTBin TianCentral South University

Discussion

Member takes

Implication

Literature review summarizes RNA-Seq applications across diverse cellular transcriptomes, highlighting advances in isoform detection, single-cell analysis, and technical challenges.

Key Points

Review the broad spectrum of RNA sequencing methods used to analyze gene expression, identify novel RNA species, and investigate RNA biogenesis and metabolism.
Conducted a methodological review of high-throughput deep sequencing protocols and cDNA library preparation strategies.
Surveyed targeted techniques, including digital gene expression profiling, isoform identification, gene fusion detection, and single-cell RNA sequencing.
Identified RNA-Seq as a versatile high-throughput platform providing single base-pair precision for quantifying cellular transcripts and discovering unannotated RNA species.
Demonstrated utility across specialized applications, such as distinguishing alternative splicing isoforms, characterizing gene fusions, and dissecting single-cell heterogeneity.
Outlined recurring technical challenges in cDNA library construction, sequencing artifacts, and computational data processing alongside emerging directions for the field.

Cite This Study

Hrdličková et al. (2016) studied this question.

synapsesocial.com/papers/69d8911e52654bb436d19511 https://doi.org/10.1002/wrna.1364

View Full Paper

Ask AI

Bookmark

Implication

Literature review summarizes RNA-Seq applications across diverse cellular transcriptomes, highlighting advances in isoform detection, single-cell analysis, and technical challenges.

RNA‐Seq methods for transcriptome analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

RNA‐Seq methods for transcriptome analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider