SBIR/STTR Research Award

High-throughput size-selection system for long-read sequencing library preparation

Award identifier e4a92cc3c6db68df7558a6fb89ce90436f85e30fd6d6f73739cc42d227879e37Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,959,900

Program and phase

SBIR · Phase II

Award year

2024

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
SAGE SCIENCE, INC.
Proposal award date
2024-07-01
Contract end date
2026-06-30
UEI
EA5AFFNALLJ7
Solicitation number
PA23-230
Topic code
172

Research abstract

7. Project summary/Abstract Recent advances by the two major long-read sequencing companies, PacBio and Oxford Nanopore (ONT), have enabled complete sequencing of the human genome. As a result, many major genomic research programs (NIH’s All of Us, T2T consortium, Human Pangenome Reference Consortium) as well as many genetic testing companies are racing to implement long-read whole genome sequencing (WGS) as a standard of care for genetic testing in the near term, and for comprehensive precision medicine programs of the future. For such an effort to succeed, long read sequencing workflows must be adapted to use high-throughput automated equipment to reduce overall costs, to improve workflow reproducibility, and to eliminate sources of operator error. In both long-read technologies, library loading onto the read positions in the flow cell (zero- mode waveguides in PacBio, pores in ONT) is diffusion-limited, and smaller library elements will be over- represented in the sequencing output relative to the contribution of longer, more informative library elements. For this reason, size-selection to eliminate shorter library molecules is widely practiced by users of both sequencing platforms. Size-selection methods that have been used in long-read library preparation include size-selective precipitation, customized Ampure bead isolation methods, and automated preparative agarose gel electrophoresis. Size-selection by preparative electrophoresis is far more effective and flexible than precipitation or magnetic bead methods, but it suffers from incompatibility with conventional liquid handling instrumentation. This incompatibility is a challenge for implementing long-read sequencing broadly in biological research and genetic testing. This proposal seeks to develop a high-throughput, cost-effective gel-based size- selection system that is easy to integrate with standard liquid handling robotics. The system is designed to be flexible in physical configuration (capable of operation on or off the deck of a conventional liquid handling robot), and flexible in size-selection performance, in order to serve size-selection needs of both long-read platforms. Widespread availability of affordable long-read WGS will have enormous benefits for diagnosis of genetic disease, but will also impact the development of new therapeutics as clinical sequencing programs such as the US NIH All of Us program and the UK NHS Genomic Medicine Service generate large sequence databases with linked patient medical records so that new therapeutic mechanisms and targets can be identified. The proposed gel-plate system may also have applications in liquid biopsy assays. For instance, it has been demonstrated that carefully size-selected plasma DNA fractions (smaller than ~150bp) can be several-fold enriched in tumor or fetal DNA. The proposed gel-plate system could easily be adapted for such liquid biopsy applications by increasing the agarose gel concentrations and changing the electrophoresis voltage and time.

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

6 SBIR/STTR records share this UEI (2012–2024). Reported award amounts total $5,272,491. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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