The Cell Culture Module has two major functions: (1) to help investigators use cultures effectively in their research, and (2) to provide a mechanism for optimum sharing of ocular specimens from human and animal eyes. To fulfill the first function, the Module: (a) serves as a repository for several types of cultured ocular cells and cell lines, (b) provides a centralized facility with shared-use equipment for culture maintenance for those who lack culture facilities in their own labs, (c) provides shared-use instruments (such as inverted phase and fluorescence photomicroscopes) for investigators who have basic culture facilities to avoid duplication of all equipment, and (d) assists investigators in using in vitro models for their work including bringing culture methods into their own labs by training laboratory personnel in culture techniques. The availability of this Module also improves the economy of our lab operations since commonly-used culture supplies can be purchased in bulk.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Center Core Grants (P30)
Project #
5P30EY001931-37
Application #
8502504
Study Section
Special Emphasis Panel (ZEY1-VSN)
Project Start
Project End
Budget Start
2013-07-01
Budget End
2014-06-30
Support Year
37
Fiscal Year
2013
Total Cost
$121,139
Indirect Cost
$41,963
Name
Medical College of Wisconsin
Department
Type
DUNS #
937639060
City
Milwaukee
State
WI
Country
United States
Zip Code
53226
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Mainali, Laxman; Raguz, Marija; O'Brien, William J et al. (2017) Changes in the Properties and Organization of Human Lens Lipid Membranes Occurring with Age. Curr Eye Res 42:721-731
Protas, Meredith E; Weh, Eric; Footz, Tim et al. (2017) Mutations of conserved non-coding elements of PITX2 in patients with ocular dysgenesis and developmental glaucoma. Hum Mol Genet 26:3630-3638
Tanna, Preena; Kasilian, Melissa; Strauss, Rupert et al. (2017) Reliability and Repeatability of Cone Density Measurements in Patients With Stargardt Disease and RPGR-Associated Retinopathy. Invest Ophthalmol Vis Sci 58:3608-3615
Salmon, Alexander E; Cooper, Robert F; Langlo, Christopher S et al. (2017) An Automated Reference Frame Selection (ARFS) Algorithm for Cone Imaging with Adaptive Optics Scanning Light Ophthalmoscopy. Transl Vis Sci Technol 6:9

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