December 1 - 6, 2024
Boston, Massachusetts

Event Supporters

2024 MRS Fall Meeting & Exhibit
EL07.20.03

Long-Read DNA Sequencing Using High-Q Resonators Enhanced Raman Spectroscopy

When and Where

Dec 5, 2024
8:00pm - 10:00pm
Hynes, Level 1, Hall A

Presenter(s)

Co-Author(s)

Varun Dolia1,Darrell Omo-Lamai1,Yuanwei Li1,Punnag Padhy1,Kai Chang1,Chih-Yi Jane Chen1,Halleh Balch1,Jennifer Dionne1

Stanford University1

Abstract

Varun Dolia1,Darrell Omo-Lamai1,Yuanwei Li1,Punnag Padhy1,Kai Chang1,Chih-Yi Jane Chen1,Halleh Balch1,Jennifer Dionne1

Stanford University1
Despite their transformative impact, next-generation sequencing (NGS) technologies based on short reads struggle to resolve complex genomic regions containing repetitive sequences, structural variations, and tandem repeats, among others. Certain long-read technologies circumvent these hurdles as they can generate reads spanning tens to hundreds of kilobases, but they suffer from relatively low raw accuracy and high-costs that hinder widespread adoption. Furthermore, existing short and long-read technologies struggle to directly capture crucial epigenetic modifications like DNA methylation and histone marks that regulate gene expression. Profiling the epigenome alongside the genome is vital for comprehensively understanding gene regulation, disease mechanisms, and phenotypic variations. As we move towards routinely sequencing entire genomes, transcriptomes, and epigenomes at high throughput and accuracy, cost-effective, integrated platforms are needed for sequencing and subsequent remedial strategies.<br/><br/>Here, we propose a long-read DNA sequencing platform leveraging high-Q resonator-enhanced Raman scattering for low-cost, accurate nucleotide sequencing, epigenetic variation detection, and single-point mutation repair. Unlike fluorescence-based approaches susceptible to photobleaching, Raman spectroscopy, relying on inherent molecular vibrational modes, has the potential for higher raw accuracy and longevity, which is crucial for longer reads. It also enables direct epigenetic profiling, such as DNA methylation or RNA glycosylation detection. Our approach combines: 1) Fab-friendly high-density resonator arrays for on-chip chemistry and surface-enhanced Raman spectroscopy (SERS), providing &gt;100 million sites/cm<sup>2</sup> density; 2) Raman-active nucleotide chemistry with high scattering efficiency; and 3) Cost-effective, high-throughput Raman spectroscopy techniques.<br/><br/>We have converted our recently demonstrated VLSI-inspired resonator platform<sup>[1]</sup> into a high-density SERS platform, with ≥ 10<sup>8</sup> Raman signal enhancement by incorporating metallic nanoparticles into the Silicon-resonator slots. We demonstrate selective functionalization strategies to localize a single polymerase to each metal dot within each resonator, developing microfluidic strategies to enable on-chip chemistry, and screening for effective Raman-labeled nucleotide reporters. We assess the performance of different tagged nucleotides in the presence of polymerase, across different concentrations, and detect epigenetic marks. With machine-learning models for data analysis, we demonstrate we can differentiate each nucleotide with &gt; 80% accuracy. Future steps will integrate these components to demonstrate single-molecule sequencing for hundreds to thousands of base pairs using a 3'-blocking approach, transitioning to long-read sequencing, all using a portable Raman microscope.<br/><br/>Reference:<br/>1. Dolia, V., Balch, H., Dagli, S., Abdollahramezani, S., Delgado, H. C., Moradifar, P., ... & Dionne, J. A. (2024). Very-Large-Scale Integrated High-Q Nanoantenna Pixels (VINPix). <i>In Press, Nature Nanotechnology.</i>

Keywords

synthetic biology

Symposium Organizers

Viktoriia Babicheva, University of New Mexico
Ho Wai (Howard) Lee, University of California, Irvine
Melissa Li, California Institute of Technology
Yu-Jung Lu, Academia Sinica

Symposium Support

Bronze
APL Quantum
Enlitech
Walter de Gruyter GmbH

Session Chairs

Ho Wai (Howard) Lee
Yu-Jung Lu

In this Session