Sample preparation for next-generation sequencing (NGS) is an inefficient, complex, multistep process that is difficult to automate. Sequencing library construction consists of around a dozen biochemical operations. Currently, automation of these steps requires highly customized automation equipment and highly trained technicians to manage the workflow. There are only a couple of automation products that address this problem, but these only perform part of the overall library construction process-they do not perform DNA purification from the biological sample. As NGS technology begins to move into the diagnostic world, there is an urgent need for walkaway, closed automated systems that dramatically simplify the NGS sample prep process. In addition, pioneering NGS companies and researchers are pushing the sequencing field toward very long-read, single-molecule sequencing technologies. This move to longer-read sequencing methods poses new challenges for NGS sample prep. Most popular DNA extraction methods do not produce long genomic DNA molecules, and many third-gen sequencing companies are actively seeking new, reliable methods for extracting large, intact DNA molecules, and converting them into sequencing libraries. In the course of developing new DNA size-selection technologies for NGS, we have conceived of a powerful technology for automated, rapid, purification of very long genomic DNA. In addition, the technology can be easily adapted to also produce NGS libraries for both traditional short-read and third-gen long-read sequencing platforms. By combining these two capabilities, our phase II application seeks to produce a system capable of producing finished NGS libraries from crude blood samples, in a single completely automated workflow. Such a system will dramatically reduce the cost and complexity of NGS sample prep, and speed the application of NGS to diagnostics.

Public Health Relevance

In our phase II application, we propose to develop an automated system capable of producing finished DNA sequencing libraries from crude blood samples, in a single, completely integrated workflow. Such a system will dramatically reduce the cost and complexity of sequencing sample preparation, and speed the application of DNA sequencing in diagnostics.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
1R44HG008720-01
Application #
8980733
Study Section
Special Emphasis Panel (ZRG1-IMST-J (15))
Program Officer
Smith, Michael
Project Start
2015-07-24
Project End
2017-06-30
Budget Start
2015-07-24
Budget End
2016-06-30
Support Year
1
Fiscal Year
2015
Total Cost
$562,774
Indirect Cost
Name
Sage Science, Inc.
Department
Type
DUNS #
620406533
City
Beverly
State
MA
Country
United States
Zip Code
01915