SBIR/STTR Research Award
Methods to enable direct RNA sequencing without amplification
Award amount
$223,465Program and phase
SBIR · Phase IAward year
2017Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- SeqLL, LLC
- Proposal award date
- 2017-04-10
- Contract end date
- 2017-12-31
- UEI
- R1S4RUMFEVW5
- Solicitation number
- HG15-033
- Topic code
- 172
Research abstract
PROJECT SUMMARY
The recent emergence of high throughput DNA sequencing technologies and their application to
transcriptomics by sequencing complementary DNA cDNA have resulted in an even more
complicated view of the transcriptome and its regulation demonstrating our limited knowledge of transcription
DNA sequencing technologies have eliminated some of the technical challenges posed by hybridization based
microarray strategies but several fundamental shortcomings still remain that prevent us from
understanding the true nature of transcriptomes and from identifying the fold transcription changes that
can distinguish a disease associated physiological process from a normal one To respond to this
need SeqLL LLC Woburn MA is proposing a Phase I SBIR project to develop optimize and demonstrate
the feasibility of a direct RNA sequencing technology to capture whole transcriptome information from the RNA
isolated from a single cell This work builds on encouraging preliminary data demonstrating the feasibility of a
direct RNA sequencing technology based on a single molecule sequencing platform however existing
challenges must be overcome for this technology to be a viable and reliable commercial option including a
reduced read length compared to DNA sequencing a lower yield compared to a similar input of DNA and is
less reproducible in lower order species To achieve this goal the team proposes three specific aims
Specific Aim To design synthesize and screen multi color reversible terminators optimized for
the sequencing of RNA molecules This aim will use chemical synthesis methods to generate reversible
terminator RT analogs that are well suited to direct RNA sequencing These RTs will be third generation
based on innovative iterations of these molecules by SeqLL fluorescently labeled and have a variety of
inhibitory moieties that will be tested for improved sequencing performance
Specific Aim Optimize chemical and reagents for use with high throughput single molecule direct
RNA sequencing to improve base stacking sequencing yield read length and accuracy This aim will
optimize imaging buffer generate mechanisms for cleave capping and to test alternative modifications that
should allow for significant improvements in direct RNA sequencing base stacking sequencing yield read
length and accuracy
Specific Aim Whole transcriptome sequencing of single cell RNA without amplification This aim
will seek to efficiently perform whole transcriptome sequencing of RNA derived from a single cell without
amplification Single cell preparations will be obtained from our collaborators at the Bernstein lab Harvard
Medical School This work will report upon methods and the sequencing performance of using the optimized
methods identified in Aims and to perform single cell direct RNA sequencing of the whole transcriptome PROJECT NARRATIVE
The objective of this Phase I SBIR is to develop optimize and demonstrate the feasibility of a direct RNA
sequencing technology to generate whole transcriptome information from the RNA isolated from a single cell
The ability to sequence RNA directly and without the need for bias introducing and complicated amplification
steps would allow researchers and clinicians to overcome the current technical challenges that prevent us
from understanding the true nature of transcriptomes and from identifying the fold transcription changes
that can distinguish a disease associated physiological process from a normal one particularly at the single
celled level
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
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