Current and Future Methods for mRNA Analysis: A Drive Toward Single Molecule Sequencing.

Area of Science:

• Molecular Biology
• Genomics
• Bioinformatics

Background:

• The transcriptome includes various RNA species like mRNA, rRNA, tRNA, and noncoding RNAs.
• Messenger RNA (mRNA) plays a critical role in cellular development and disease processes.
• RNA sequencing (RNA-Seq) is the preferred method for high-throughput transcriptome studies.

Purpose of the Study:

• To review the technical aspects of current short-read and long-read RNA sequencing methods.
• To discuss available data analysis techniques for RNA-Seq data.
• To highlight advancements in single-cell and direct RNA-Seq.

Main Methods:

• Short-read RNA-Seq: Sequencing short cDNA fragments and computational assembly or alignment.
• Long-read RNA-Seq: Single-molecule sequencing for de novo transcriptome assembly and isoform quantification.
• Review of existing RNA-Seq technologies and data analysis pipelines.

Main Results:

• Short-read RNA-Seq is widely used but has limitations in de novo assembly and isoform quantification.
• Long-read RNA-Seq offers improved capabilities for de novo transcriptome assembly and isoform quantification.
• Emerging single-cell and direct RNA-Seq approaches show promise for future research.

Conclusions:

• Long-read RNA-Seq is increasingly adopted as the standard for comprehensive transcriptome analysis.
• Advancements in RNA-Seq technologies, including single-cell and direct RNA-Seq, are shaping the future of transcriptomics.
• Understanding RNA-Seq methodologies is essential for research in development, disease, and other biological fields.