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Funding Update: NSF Microarray Grants: Sep 24, 2013


NSF Microarray Grants Awarded June 25 — Sept. 24, 2013

Localized surface plasmon resonance (LSPR) biosensing microarray for multiplex, real-time single-cell immunophenotyping
Start Date: Aug. 1, 2013
Expires: July 31, 2016
Awarded amount to date: $330,000
Principal investigator: Katsuo Kurabayashi
Sponsor: University of Michigan – Ann Arbor

This research aims to establish a biosensing platform that enables high-throughput, multiplexed, dynamic measurement of cytokines secreted by target immune cells isolated from whole blood at the single-cell level. This single-cell functional assay efficiently permits on-chip isolation and stimulation of single cells and detection of cell-secreted proteins. The investigators' approach will use localized surface plasmon resonance imaging within microchamber arrays, each capturing a single cell. As a result of miniaturization of the whole system, both the sample volume and the total assay time can be reduced.

Molecular simulation of DNA interactions in oligonucleotide microarrays
Start Date: Aug. 1, 2013
Expires: July 31, 2016
Awarded amount to date: $150,000
Principal investigator: John Stubbs
Sponsor: University of New England

The aspects of this project explore the differences between surface- and solution-based transitions for systems that are most pertinent to DNA microarray technology. The hybridization and denaturation transitions between single- and doubled-stranded DNA will be studied for short oligomers, between 10 and 25 bases, both in solution and with one strand bound to a surface to determine how surface immobilization affects this equilibrium and the interactions between strands.

Electrochemical microarray on monolith electrode: exploratory research
Start Date: Sept. 1, 2013
Expires: Aug. 31, 2014
Awarded amount to date: $90,309
Principal investigator: Ravi Saraf
Sponsor: University of Nebraska – Lincoln

The investigators are developing an electrochemical method for profiling miRNA by measuring local redox reactions on a monolith electrode by scanning a laser beam over various microarray binding sites. The electrochemical signal can potentially distinguish a perfect match between an immobilized probe and a target binding, and no redox occurs on nonspecific binding, they claim in the grant abstract.

Statistical methods for integrated analysis of high-throughput biomedical data
Start Date: Sept. 15, 2013
Expires: Aug. 31, 2017
Awarded amount to date: $317,967
Principal investigator: Pradeep Ravikumar, Genevera Allen, Zhandong Liu
Sponsors: University of Texas at Austin, Rice University, Baylor College of Medicine

The investigators will develop a new statistical framework for integrated analysis of multiple sets of high-dimensional data measured on the same group of subjects. This research will be applied to high-throughput cancer genomics data, including array data, and lead to new methods to discover molecular cancer sub-types along with their genomic signatures and build a holistic network model of disease.