SBIR/STTR Research Award

Exhaustive de novo sequencing of every RNA in a sample by a layer-by-layer mass spectrometry ladder intensity approach.

Award identifier a729ebb4258d29a1e0a0278a34f1bf8df8398f5e102f39cde0cc504688bc5e03Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$215,088

Program and phase

STTR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
DirectSeq Biosciences, INC.
Proposal award date
2024-09-25
Contract end date
2025-08-31
UEI
HTS2RB6VBWK5
Solicitation number
PA23-232
Topic code
NHGRI

Research abstract

An RNA sequence and all its diverse modifications constitutes the true informational content of RNA. Defects in RNA modifications account for >100 human diseases, affecting millions of Americans, including those with breast cancer, skin cancer, and lung cancer. Despite its significance, our understanding of RNA sequence and modification diversity remains limited. Current sequencing technologies only partially capture RNA sequences and modifications, leaving gaps in our understanding. For instance, the exact count of unique RNA sequences in a sample remains elusive. NGS-based RNA sequencing methods require converting RNA to cDNA, and such indirect methods can not accurately reflect the original RNA content. While nanopore-based RNA sequencing permits direct RNA sequencing, it relies on ligating RNAs to sequence adapters, a process with variable yields ranging from 30% to 90%. Consequently, any RNA failing this ligation remains unsequenced, leading to potential underrepresentation. Furthermore, sequencing all RNA modifications is challenging due to the presence of >170 unique nucleotide modifications. NGS-based RNA sequencing technologies, relying on cDNA synthesis, often neglect or bias towards certain RNA modifications, thus failing to deliver a comprehensive profile of RNA modifications. This issue is exacerbated by the heterogeneous nature and quantification difficulties associated with partial RNA modifications. To address these challenges, DSI has innovated next-generation mass spectrometry-based sequencing (NGMS-Seq) methods. Utilizing two-dimensional (2D) mass-retention time ladders instead of MS/MS fragmentation, NGMS-Seq has demonstrated the potential to sequence specific tRNAs de novo and simultaneously sequence and quantify all nucleotide modifications without bias. In this application, we will 1) further develop NGMS-Seq into an exhaustive de novo RNA sequencing method, which not only directly identifies but also sequences every RNA species completely in a sample without any omission, and provides a comprehensive modification landscape for each RNA without bias, and 2) test exhaustive sequencing of synthetic RNA therapeutics (Aim 1) and human cancer tRNAs (Aim 2) for comprehensive RNA sequence and modification profiling. This advancement could revolutionize our ability to fully understand RNA's sequence and modification diversity, crucial for RNA drug development and functional studies.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

2 SBIR/STTR records share this UEI (2024). Reported award amounts total $621,588. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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