Abstract: Micro-arrays provide a high-throughput platform for various key studies in functional-genomics, proteomics, epigenetics, medical-diagnostics and even tissue-engineering. Together with advanced biochemical detection, imaging and bioinformatics technologies, it is now possible to cost-effectively monitor the expression behavior of genes, proteins or other biomarkers, as well as screening the genome and proteome content of various cell lines, on-chip drug profiling or even detection of single-nucleotide-polymorphism. Therefore, micro-array technologies provide a vital platform for performing high-throughput screening experiments that shed light on our understanding of cellular, genomic, and proteomic processes occurring at the nano-scale. In this proposal, we aim to create the next-generation of micro-array technologies to achieve an unprecedented mega-throughput, i.e., label-free imaging of millions of DNA/protein microspots would be feasible per second. We term the broad-umbrella of these revolutionary technologies as Nano-plasmonic LUCAS. Specifically, we aim achieve a throughput of >120 cm2/second or >4.5 million spots/second for highlysensitive and label-free imaging of DNA/protein micro-arrays, which constitutes a speed improvement of >3 orders-of-magnitude when compared to the state-of-the-art. Label-free imaging is especially important not to perturb the natural bio-chemical, physical and structural properties of the original molecule-of-interest. It also makes the measurements much more quantitative, significantly improving the data quality;eliminates inconvenient labeling steps which further reduces the cost;and avoids cross-reactivity issues among secondary-probes which can significantly improve the detection of weak or transitional molecular interactions. This mega-throughput capability will revolutionize the speed of progress that is taken in proteomics/genetics research by orders-of-magnitude that could eventually lead to the development of improved strategies/therapies for combating previously intractable bio-medical problems and various diseases including cancer. Furthermore, the Nano-plasmonic LUCAS platform does not require any lenses, microscope-objectives or other bulk optical components, and therefore offers an extremely compact on-chip platform that can easily be merged with micro-fluidic systems to permit point-of-care operation. Public Health Relevance: In this high-risk high pay-off proposal, we aim to create the next generation of micro-array technologies to revolutionize the speed of progress that is taken in proteomics and genetics research by orders of magnitude that could eventually lead to the development of improved strategies and therapies for combating previously intractable bio-medical problems and various diseases including cancer.

Agency
National Institute of Health (NIH)
Institute
Office of The Director, National Institutes of Health (OD)
Type
NIH Director’s New Innovator Awards (DP2)
Project #
1DP2OD006427-01
Application #
7846673
Study Section
Special Emphasis Panel (ZGM1-NDIA-O (02))
Program Officer
Basavappa, Ravi
Project Start
2009-09-30
Project End
2014-06-30
Budget Start
2009-09-30
Budget End
2014-06-30
Support Year
1
Fiscal Year
2009
Total Cost
$2,310,000
Indirect Cost
Name
University of California Los Angeles
Department
Engineering (All Types)
Type
Schools of Engineering
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Shir, Daniel; Ballard, Zachary S; Ozcan, Aydogan (2016) Flexible Plasmonic Sensors. IEEE J Sel Top Quantum Electron 22:
McLeod, Euan; Wei, Qingshan; Ozcan, Aydogan (2015) Democratization of Nanoscale Imaging and Sensing Tools Using Photonics. Anal Chem 87:6434-45
McLeod, Euan; Dincer, T Umut; Veli, Muhammed et al. (2015) High-throughput and label-free single nanoparticle sizing based on time-resolved on-chip microscopy. ACS Nano 9:3265-73
Cortazar, Bingen; Koydemir, Hatice Ceylan; Tseng, Derek et al. (2015) Quantification of plant chlorophyll content using Google Glass. Lab Chip 15:1708-16
Ludwig, Susann K J; Zhu, Hongying; Phillips, Stephen et al. (2014) Cellphone-based detection platform for rbST biomarker analysis in milk extracts using a microsphere fluorescence immunoassay. Anal Bioanal Chem 406:6857-66
Pushkarsky, Ivan; Liu, Yunbo; Lyb, Yunbo et al. (2014) Automated single-cell motility analysis on a chip using lensfree microscopy. Sci Rep 4:4717
Sencan, Ikbal; Coskun, Ahmet F; Sikora, Uzair et al. (2014) Spectral demultiplexing in holographic and fluorescent on-chip microscopy. Sci Rep 4:3760
McLeod, Euan; Ozcan, Aydogan (2014) Nano-imaging enabled via self-assembly. Nano Today 9:560-573
Coskun, Ahmet F; Ozcan, Aydogan (2014) Computational imaging, sensing and diagnostics for global health applications. Curr Opin Biotechnol 25:8-16
Feng, Steve; Caire, Romain; Cortazar, Bingen et al. (2014) Immunochromatographic diagnostic test analysis using Google Glass. ACS Nano 8:3069-79

Showing the most recent 10 out of 78 publications