Ligo-miR - A Multiplexed Single Molecule Ligation Assay for miRNA profiling MicroRNAs (miRNA) are short, noncoding RNAs with pervasive roles throughout gene expression in cellular processes such as differentiation and disease states such as cancer. Uncovering the roles of these molecules in development and tumorigenesis are key steps to the discovery of robust, new biomarkers and potential disease cures. The ability to profile miRNA expression at single cell resolution across a tumor mass could lead to targeted therapies that are effective at eliminating rather than merely shrinking tumors. No existing miRNA analysis method combines high sensitivity with true multiplexing and small volume capability. In this Phase I SHIFT proposal, a PCR-free, multiplex ligation assay for miRNA profiling called Ligo-miR will be developed. Hybridization and ligation of locked nucleic acid probes will be used to generate miRNA specific ligation products encoded by length. The ligation products will then be directly identified and quantified using microfluidic single molecul free solution hydrodynamic separation (SML-FSHS). The ligation mechanism will enable Ligo-miR to perform multiplex detection of up to 20 miRNA per reaction while the single molecule analysis platform will enable PCR-free detection with a sensitivity of <20 copies and sample volume <10 pL. This unique combination of high sensitivity and near-zero sample volume will form the foundation for a Phase II single cell miRNA profiling platform. Furthermore, this architecture can be easily scaled to even higher degrees of multiplexing (>50-plex) and throughput through microfluidics.
In Aim 1, we will develop the fundamental Ligo-miR assay using synthetic RNA targets to mimic 3 classical miRNAs, let-7a, miR-16, and miR-21.
In Aim 2, we will design a SML-FSHS microfluidic device to analyze the ligation products generated in Aim 1.
In Aim 3, we will integrate these techniques into a multiplexed assay that can detect 20 miRNAs per reaction. Finally, in Aim 4, we will use the 20-plex assay to profile miRNA in 3 human cancer cell lines and 3 normal tissues. The Ligo-miR results will then be compared to published microarray and RT-PCR data. Such a method not only has applications in miRNA tumor profiling but also in other applications with rare samples such as clinical diagnostics using circulating tumor cells and cell-free miRNA.

Public Health Relevance

Ligo-miR - A Multiplexed Single Molecule Ligation Assay for miRNA profiling MicroRNAs have been recently found to play key roles throughout the regulation of gene expression. Thus, the development of a sensitive, new assay platform for microRNA analysis will lead to better understanding of tumor development and cancer progression. In turn, this could lead more specific and robust cancer biomarkers and more effective, targeted cancer therapies.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
5R43GM103360-02
Application #
8550117
Study Section
Special Emphasis Panel (ZRG1-IMST-J (15))
Program Officer
Maas, Stefan
Project Start
2012-09-24
Project End
2014-08-31
Budget Start
2013-09-01
Budget End
2014-08-31
Support Year
2
Fiscal Year
2013
Total Cost
$199,842
Indirect Cost
Name
Circulomics, Inc.
Department
Type
DUNS #
830377581
City
Baltimore
State
MD
Country
United States
Zip Code
21211
Song, Yunke; Kilburn, Duncan; Song, Jee Hoon et al. (2017) Determination of absolute expression profiles using multiplexed miRNA analysis. PLoS One 12:e0180988
Kilburn, Duncan; Song, Yunke; Wang, Tza-Huei et al. (2017) A Multiplex Ligation Assay for miRNA Copy Number Profiling. Methods Mol Biol 1509:185-193
Friedrich, Sarah M; Liu, Kelvin J; Wang, Tza-Huei (2016) Single Molecule Hydrodynamic Separation Allows Sensitive and Quantitative Analysis of DNA Conformation and Binding Interactions in Free Solution. J Am Chem Soc 138:319-27
Song, Yunke; Liu, Kelvin J; Wang, Tza-Huei (2015) Efficient synthesis of stably adenylated DNA and RNA adapters for microRNA capture using T4 RNA ligase 1. Sci Rep 5:15620
Song, Yunke; Liu, Kelvin J; Wang, Tza-Huei (2014) Elimination of ligation dependent artifacts in T4 RNA ligase to achieve high efficiency and low bias microRNA capture. PLoS One 9:e94619