|
| Status |
Public on May 14, 2014 |
| Title |
The ABRF Next-Generation Sequencing Study (ABRF-NGS): Multi-platform and cross-methodological reproducibility of transcriptome profiling by RNA-seq. |
| Organisms |
Homo sapiens; synthetic construct |
| Experiment type |
Expression profiling by high throughput sequencing
|
| Summary |
Next-generation sequencing (NGS) technology applications like RNA-sequencing (RNA-seq) have dramatically expanded the potential for novel genomics discoveries, but the proliferation of various platforms and protocols for RNA-seq has created a need for reference data sets to help gauge the performance characteristics of these disparate methods. Here we describe the results of the ABRF-NGS Study on RNA-seq, which leverages replicate experiments across multiple sites using two reference RNA standards tested with four protocols (polyA selected, ribo-depleted, size selected, and degraded RNA), and examined across five NGS platforms (Illumina’s HiSeqs, Life Technologies’ Personal Genome Machine and Proton, Roche 454 GS FLX, and Pacific Biosciences RS). These results show high (R2 >0.9) intra-platform consistency across test sites, high inter-platform concordance (R2 >0.8) for transcriptome profiling, and a large set of novel splice junctions observed across all platforms. Also, we observe that protocols using ribosomal RNA depletion can both salvage degraded RNA samples and also be readily compared to polyA-enriched fractions. These data provide a broad foundation for standardization, evaluation and improvement of RNA-seq methods.
|
| |
|
| Overall design |
Two reference RNA standards tested with four protocols (polyA selected, ribo-depleted, size selected, and degraded RNA), and examined across five NGS platforms (Illumina’s HiSeqs, Life Technologies’ Personal Genome Machine and Proton, Roche 454 GS FLX, and Pacific Biosciences RS).
|
| |
|
| Contributor(s) |
Mason C |
| Citation(s) |
25150837, 25254650, 25150835 |
| Submission date |
May 13, 2013 |
| Last update date |
May 15, 2019 |
| Contact name |
Christopher E Mason |
| E-mail(s) |
chm2042@med.cornell.edu
|
| Organization name |
Weill Cornell Medical College
|
| Department |
Physiology and Biophysics
|
| Lab |
Christopher Mason Lab
|
| Street address |
1305 York Ave
|
| City |
New York |
| ZIP/Postal code |
10065 |
| Country |
USA |
| |
|
| Platforms (5)
|
| GPL14603 |
454 GS FLX Titanium (Homo sapiens) |
| GPL16791 |
Illumina HiSeq 2500 (Homo sapiens) |
| GPL17301 |
Ion Torrent PGM (Homo sapiens) |
| GPL17302 |
Ion Torrent PGM (synthetic construct) |
| GPL17303 |
Ion Torrent Proton (Homo sapiens) |
|
| Samples (105)
|
|
| This SuperSeries is composed of the following SubSeries:
|
| GSE48032 |
The ABRF Next-Generation Sequencing Study (ABRF-NGS): Multi-platform and cross-methodological reproducibility of transcriptome profiling by RNA-seq [454 GS FLX Titanium] |
| GSE48033 |
The ABRF Next-Generation Sequencing Study (ABRF-NGS): Multi-platform and cross-methodological reproducibility of transcriptome profiling by RNA-seq [Ion Torrent PGM] |
| GSE48034 |
The ABRF Next-Generation Sequencing Study (ABRF-NGS): Multi-platform and cross-methodological reproducibility of transcriptome profiling by RNA-seq [Ion Torrent Proton] |
| GSE48035 |
The ABRF Next-Generation Sequencing Study (ABRF-NGS): Multi-platform and cross-methodological reproducibility of transcriptome profiling by RNA-seq [Illumina HiSeq 2500] |
|
| Relations |
| BioProject |
PRJNA208729 |
Less...
More...