Digital transcriptome profiling from attomole-level RNA samples
Abstract
Accurate profiling of minute quantities of RNA in a global manner can enable key advances in many scientific and clinical disciplines. Here, we present low-quantity RNA sequencing (LQ-RNAseq), a high-throughput sequencing-based technique allowing whole transcriptome surveys from subnanogram RNA quantities in an amplification/ligation-free manner. LQ-RNAseq involves first-strand cDNA synthesis from RNA templates, followed by 3′ polyA tailing of the single-stranded cDNA products and direct single molecule sequencing. We applied LQ-RNAseq to profile S. cerevisiae polyA+ transcripts, demonstrate the reproducibility of the approach across different sample preparations and independent instrument runs, and establish the absolute quantitative power of this method through comparisons with other reported transcript profiling techniques and through utilization of RNA spike-in experiments. We demonstrate the practical application of this approach to define the transcriptional landscape of mouse embryonic and induced pluripotent stem cells, observing transcriptional differences, including over 100 genes exhibiting differential expression between these otherwise very similar stem cell populations. This amplification-independent technology, which utilizes small quantities of nucleic acid and provides quantitative measurements of cellular transcripts, enables global gene expression measurements from minute amounts of materials and offers broad utility in both basic research and translational biology for characterization of rare cells.
Additional Information
© 2010 by Cold Spring Harbor Laboratory Press. The Authors acknowledge that six months after the full-issue publication date, the Article will be distributed under a Creative Commons CC-BY-NC License (Attribution-NonCommercial 4.0 International License, http://creativecommons.org/licenses/by-nc/4.0/). Received October 19, 2009; accepted in revised form January 29, 2010. Published in Advance February 4, 2010. We thank Chris Hart, Kristen Kerouac, Daniel Jones, and Erik Hansen for technical assistance and discussions. A.G. is supported by an EMBO long-term postdoctoral fellowship. A.R. is an investigator of the Merkin Foundation for Stem Cell Research at the Broad Institute. B.E.B. is a Charles E. Culpeper Medical Scholar. A.R. and B.E.B. are Early Career Scientists of the Howard Hughes Medical Institute. This research was supported by funds from the Burroughs Wellcome Fund (B.E.B., A.R.), HHMI, and the National Human Genome Research Institute.Attached Files
Published - Genome_Res.-2010-Ozsolak-519-25.pdf
Supplemental Material - Final_Supplement_1-26-10.doc
Supplemental Material - Supplemental_Table_S2.doc
Supplemental Material - Supplemental_Table_S3.doc
Supplemental Material - Supplemental_Table_S4.doc
Supplemental Material - Supplemental_Table_S5.doc
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Additional details
- PMCID
- PMC2847755
- Eprint ID
- 72207
- Resolver ID
- CaltechAUTHORS:20161121-135603621
- European Molecular Biology Organization (EMBO)
- Merkin Foundation for Stem Cell Research
- Charles E. Culpeper Medical Scholarship
- Howard Hughes Medical Institute (HHMI)
- Burroughs Wellcome Fund
- National Human Genome Research Institute
- NIH
- Created
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2016-11-21Created from EPrint's datestamp field
- Updated
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2021-11-11Created from EPrint's last_modified field