A Comparison of Single Molecule and Amplification Based Sequencing of Cancer Transcriptomes
Author(s) -
Lee Sam,
Doron Lipson,
Tal Raz,
Xuhong Cao,
John F. Thompson,
Patrice M. Milos,
Dan R. Robinson,
Arul M. Chinnaiyan,
Chandan KumarSinha,
Christopher A. Maher
Publication year - 2011
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0017305
Subject(s) - biology , single cell sequencing , computational biology , dna sequencing , housekeeping gene , transcriptome , deep sequencing , illumina dye sequencing , multiple displacement amplification , genetics , genomics , gene , polymerase chain reaction , exome sequencing , gene expression , genome , mutation , dna extraction
The second wave of next generation sequencing technologies, referred to as single-molecule sequencing (SMS), carries the promise of profiling samples directly without employing polymerase chain reaction steps used by amplification-based sequencing (AS) methods. To examine the merits of both technologies, we examine mRNA sequencing results from single-molecule and amplification-based sequencing in a set of human cancer cell lines and tissues. We observe a characteristic coverage bias towards high abundance transcripts in amplification-based sequencing. A larger fraction of AS reads cover highly expressed genes, such as those associated with translational processes and housekeeping genes, resulting in relatively lower coverage of genes at low and mid-level abundance. In contrast, the coverage of high abundance transcripts plateaus off using SMS. Consequently, SMS is able to sequence lower- abundance transcripts more thoroughly, including some that are undetected by AS methods; however, these include many more mapping artifacts. A better understanding of the technical and analytical factors introducing platform specific biases in high throughput transcriptome sequencing applications will be critical in cross platform meta-analytic studies.
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