Nanopore native RNA sequencing of a human poly(A) transcriptome

Area of Science:

• Molecular Biology
• Genomics
• Bioinformatics

Background:

• Traditional sequencing methods yield short complementary DNA reads, losing vital information about RNA modifications and full transcript length.
• Understanding transcriptome complexity requires methods that preserve native RNA characteristics.

Purpose of the Study:

• To overcome limitations of current sequencing technologies by employing a native RNA sequencing strategy.
• To characterize RNA isoforms, poly(A) tail lengths, base modifications, and transcript haplotypes in the human GM12878 cell line.

Main Methods:

• Utilized Oxford Nanopore Technologies' native RNA sequencing on GM12878 cells across multiple institutions.
• Generated millions of long, aligned nanopore RNA sequence reads (median 771 bases, max >21,000 bases).
• Integrated long nanopore reads with high-accuracy short reads and annotated promoter regions.

Main Results:

• Identified 33,984 plausible RNA isoforms by combining long and short-read data.
• Demonstrated the utility of mitochondrial poly(A) reads for assessing read-length quality.
• Developed strategies for analyzing 3' poly(A) tail length, base modifications, and transcript haplotypes.

Conclusions:

• Native RNA sequencing offers a powerful approach to comprehensively analyze the transcriptome.
• This method significantly advances the understanding of RNA structure, regulation, and isoform diversity.
• The developed strategies provide new tools for detailed RNA characterization.