Award Abstract # 0954578
CAREER: Multiplex microfluidic and automation tools for neurogenetics and live imaging

NSF Org: CBET
Division of Chemical, Bioengineering, Environmental, and Transport Systems
Recipient: GEORGIA TECH RESEARCH CORP
Initial Amendment Date: December 2, 2009
Latest Amendment Date: December 2, 2009
Award Number: 0954578
Award Instrument: Standard Grant
Program Manager: Leon Esterowitz
CBET
 Division of Chemical, Bioengineering, Environmental, and Transport Systems
ENG
 Directorate for Engineering
Start Date: January 1, 2010
End Date: August 31, 2016 (Estimated)
Total Intended Award Amount: $400,518.00
Total Awarded Amount to Date: $400,518.00
Funds Obligated to Date: FY 2010 = $400,518.00
History of Investigator:
  • Hang Lu (Principal Investigator)
    hang.lu@chbe.gatech.edu
Recipient Sponsored Research Office: Georgia Tech Research Corporation
926 DALNEY ST NW
ATLANTA
GA  US  30318-6395
(404)894-4819
Sponsor Congressional District: 05
Primary Place of Performance: Georgia Institute of Technology
225 NORTH AVE NW
ATLANTA
GA  US  30332-0002
Primary Place of Performance
Congressional District:
05
Unique Entity Identifier (UEI): EMW9FC8J3HN4
Parent UEI: EMW9FC8J3HN4
NSF Program(s): BioP-Biophotonics
Primary Program Source: 01001011DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 004E, 014E, 1045, 1187, 9102
Program Element Code(s): 723600
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041

ABSTRACT

0954578
Lu

The long-term objective is to develop and use powerful microfluidic and automation tools to understand genetic pathways that regulate the biochemical communications between neurons and other tissues in C. elegans. Microfluidics is ideal for studies of small organisms such as C. elegans because of the relevant length scales and the possibility of integration and automation. The research objective of the CAREER project is to engineer a microfluidic system for live imaging of dynamic processes in vivo, to accomplish automated image processing, and to identify roles of genes in neuronal biochemical communications.This system will significantly increase the throughput and accuracy of in vivo live imaging experiments in model organisms. It streamlines and automates the painstakingly manual procedure of microscopy, in some cases enables some experiments that are otherwise impossible to do, and reduces the noise and artifacts in these experiments. The image analysis algorithms will provide quantitative data with large throughput to allow good statistics. The approach is innovative because the technologies developed here dramatically increase the capabilities and throughput of current assay tools, enabling key biological experiments that are not currently performed. Furthermore, the technology is broadly applicable to other biological systems and could potentially lead to new therapeutics for related diseases.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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2.Mei Zhan, Matthew M. Crane, Eugeni Entchev, Antonio Caballero, Diana Andrea Fernandes de Abreu, QueeLim Ch?ng, and Hang Lu "Automated Processing of Imaging Data Through Multi-Tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans" PLoS Computational Biology , 2015 10.1371/journal.pcbi.1004194. http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004194
33.Mei Zhan, Matthew M. Crane, Eugeni Entchev, Antonio Caballero, Diana Andrea Fernandes de Abreu, QueeLim Ch?ng, and Hang Lu "Automated Processing of Imaging Data Through Multi-Tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans" PLoS Computational Biology , 2015
Daniel C. Williams, Rachid El Bejjani, Paula Mugno Ramirez, Sean Coakley, Shinae Kim, Hyewon Lee, Quan Wen, Aravi Samuel, Hang Lu, Massimo A. Hilliard, Marc Hammarlund "Rapid and permanent neuronal inactivation in vivo via subcellular generation of reactive oxygen with the use of KillerRed" Cell reports , 2013 doi: 10.1016/j.celrep.2013.09.023
Diana Andrea Fernandes de Abreu, Antonio Caballero, Pascal Fardel, Nicholas Stroustrup, Zhunan Chen, KyungHwa Lee, William D. Keyes, Zachary M. Nash, Isaac F. López Moyado, Federico Vaggi, Astrid Cornils, Martin Regenass, Anca Neagu, Ivan Ostojic, Chang L "An Insulin-to-Insulin Regulatory Network Orchestrates Phenotypic Specificity in Development and Physiology" PLoS Genetics , v.10 , 2014 , p.e1004225
Eugeni V. Entchev*, Dhaval S. Patel*, Mei Zhan*, Andrew J. Steele, Hang Lu, and QueeLim Ch'ng "A gene-expression-based neural code for food abundance that modulates lifespan" eLife , v.4 , 2015 , p.e06259
Eugeni V. Entchev*, Dhaval S. Patel*, Mei Zhan*, Andrew J. Steele, Hang Lu+, and QueeLim Ch?ng "A gene-expression-based neural code for food abundance that modulates lifespan" eLife , 2015 DOI: http://dx.doi.org/10.7554/eLife.06259
Guillaume Aubry and Hang Lu "A perspective on optical developments in microfluidic platforms for Caenorhabditis elegans research" biomicrofluidics , v.8 , 2014 , p.11301
Guillaume Aubry and Hang Lu "A perspective on optical developments in microfluidic platforms for Caenorhabditis elegans research" Biomicrofluidics , 2014 doi: 10.1063/1.4865167
Guillaume Aubry, Mei Zhan, and Hang Lu "Hydrogel-droplet microfluidic platform for high-resolution imaging and sorting of early larval Caenorhabditis elegans" Lab Chip , v.15 , 2015 , p.1424 10.1039/C4LC01384K
Hyewon Lee, Matthew M. Crane, Yun Zhang, and Hang Lu "Quantitative screening of genes regulating tryptophan hydroxylase transcription in C. elegans using microfluidics and adaptive algorithm" Integrative Biology , 2013 doi: 10.1039/c2ib20078c
Hyewon Lee, Shin Ae Kim, Paula Mugno, Marc Hammarlund, Massimo A. Hilliard, and Hang Lu "A Multi-channel device for high-density target-selective stimulation and long-term monitoring of cells and subcellular features in C. elegans" Lab Chip , 2014 DOI: 10.1039/C4LC00789A
(Showing: 1 - 10 of 24)

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