The continuation of the UCLA NINDS/NIMH Microarray Center as a component of the NINDS/NIMH Microarray Consortium will be a broad based resource of services, knowledge, and data for the neuroscience community to facilitate performance of microarray based experimentation and the archiving of useful microarray documentation and gene expression information. Through the first two years of operation of the Consortium, the three funded sites have created an integrated set of three centers with complementary expertise and services. The services have been well received by the individual users of the consortium, with high marks on quality of the experimentation. We propose to continue to adapt to community needs, provide knowledgeable guidance, and offer an outstanding cost-effective service to NINDS/NIMH funded investigators. The services offered through the Consortium are focused on the analysis of large scale gene expression. Neuroscientists can be frustrated in their efforts to access this powerful technology due to 1) high cost of services;2) limited access to the technologies as they become available;3) limited access to expert advice;and 4) limited access to powerful and flexible analytical tools. The UCLA proposal, in conjunction with the other two currently funded centers, serves to lower all of these barriers and provide ready access. Through judicious overlaps between the centers, redundancies are minimized, and backup and flexibility are built into the overall consortium. The proposed renewal of the UCLA NINDS/NIMH Microarray Center will be a broadly functioning center working in collaboration with the other funded centers to seamlessly provide a complete array of DNA microarray reagents, services, and data to the neuroscience community. The Center will: 1) Provide guidance and advice on microarray experimentation and facilitate investigator documentation of experimental procedures;2) Provide inexpensive access to DNA microarray services to individual neuroscience investigators;3) Provide custom array synthesis capabilities for microarray experimentation;4) Provide guidance, advice and statistical analytical support for the analysis of microarray data;5) Develop a centralized database of well annotated, cross-referenced, co-normalized expression data with a focus on neuroscience;and 6) Develop and update the integration of the UCLA Site with the NINDS/NIMH Portal.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Resource-Related Research Projects--Cooperative Agreements (U24)
Project #
5U24NS052108-05
Application #
7626803
Study Section
Special Emphasis Panel (ZNS1-SRB-R (12))
Program Officer
Miller, Thomas
Project Start
2005-07-15
Project End
2011-05-31
Budget Start
2009-06-01
Budget End
2011-05-31
Support Year
5
Fiscal Year
2009
Total Cost
$993,059
Indirect Cost
Name
University of California Los Angeles
Department
Pediatrics
Type
Schools of Medicine
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Homer, Nils; Nelson, Stanley F (2010) Improved variant discovery through local re-alignment of short-read next-generation sequencing data using SRMA. Genome Biol 11:R99
Strom, S P; Stone, J L; Ten Bosch, J R et al. (2010) High-density SNP association study of the 17q21 chromosomal region linked to autism identifies CACNA1G as a novel candidate gene. Mol Psychiatry 15:996-1005
Homer, Nils; Nelson, Stanley F; Merriman, Barry (2010) Local alignment of generalized k-base encoded DNA sequence. BMC Bioinformatics 11:347
Lee, Yohan; Liu, Jason; Patel, Shilpa et al. (2010) Genomic landscape of meningiomas. Brain Pathol 20:751-62
Geschwind, Daniel H; Konopka, Genevieve (2009) Neuroscience in the era of functional genomics and systems biology. Nature 461:908-15
Homer, Nils; Merriman, Barry; Nelson, Stanley F (2009) Local alignment of two-base encoded DNA sequence. BMC Bioinformatics 10:175
Day, Allen; Dong, Jun; Funari, Vincent A et al. (2009) Disease gene characterization through large-scale co-expression analysis. PLoS One 4:e8491
Lee, Hane; O'Connor, Brian D; Merriman, Barry et al. (2009) Improving the efficiency of genomic loci capture using oligonucleotide arrays for high throughput resequencing. BMC Genomics 10:646
Winden, Kellen D; Oldham, Michael C; Mirnics, Karoly et al. (2009) The organization of the transcriptional network in specific neuronal classes. Mol Syst Biol 5:291
Homer, Nils; Merriman, Barry; Nelson, Stanley F (2009) BFAST: an alignment tool for large scale genome resequencing. PLoS One 4:e7767

Showing the most recent 10 out of 14 publications