Flow Cytometry Module Abstract The objective of the Flow Cytometry Module is to enhance the capabilities of individual investigators to conduct cutting edge research in the vision sciences.
Our Aims are: 1) to provide resources, support and training required to utilize flow cytometry for phenotypic and functional analyses of cells from ocular tissues at the level exceeding the capabilities of any individual laboratory; 2) to promote collegiality across the community of vision scientists through sharing resources, techniques and expertise; and 3) to engage colleagues into conducting vision research, including support of the next generation of basic and clinician scientists.
These Aims will be achieved through support of a sophisticated facility equipped with a state-of-the- art flow cytometer and data analysis software. This facility is supervised and operated by highly experienced specialists, who provide expertise and support in cell preparation, data acquisition, analysis and interpretation. These shared resources will open new research possibilities for both experienced and novice users, and will serve as a platform for fostering interactions among a broad swath of our research community.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Center Core Grants (P30)
Project #
5P30EY005722-32
Application #
9346069
Study Section
Special Emphasis Panel (ZEY1)
Project Start
Project End
Budget Start
2017-09-01
Budget End
2018-08-31
Support Year
32
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Duke University
Department
Type
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
Hirt, Joshua; Porter, Kris; Dixon, Angela et al. (2018) Contribution of autophagy to ocular hypertension and neurodegeneration in the DBA/2J spontaneous glaucoma mouse model. Cell Death Discov 4:14
Ban, Norimitsu; Lee, Tae Jun; Sene, Abdoulaye et al. (2018) Impaired monocyte cholesterol clearance initiates age-related retinal degeneration and vision loss. JCI Insight 3:
Dubose, Theodore B; Cunefare, David; Cole, Elijah et al. (2018) Statistical Models of Signal and Noise and Fundamental Limits of Segmentation Accuracy in Retinal Optical Coherence Tomography. IEEE Trans Med Imaging 37:1978-1988
Khaled, Mariam Lofty; Bykhovskaya, Yelena; Yablonski, Sarah E R et al. (2018) Differential Expression of Coding and Long Noncoding RNAs in Keratoconus-Affected Corneas. Invest Ophthalmol Vis Sci 59:2717-2728
McDonnell, Fiona; Dismuke, W Michael; Overby, Darryl R et al. (2018) Pharmacological regulation of outflow resistance distal to Schlemm's canal. Am J Physiol Cell Physiol 315:C44-C51
Tran-Viet, Du; Wong, Brittany M; Mangalesh, Shwetha et al. (2018) HANDHELD SPECTRAL DOMAIN OPTICAL COHERENCE TOMOGRAPHY IMAGING THROUGH THE UNDILATED PUPIL IN INFANTS BORN PRETERM OR WITH HYPOXIC INJURY OR HYDROCEPHALUS. Retina 38:1588-1594
Chen, Xi; Mangalesh, Shwetha; Dandridge, Alexandria et al. (2018) Spectral-Domain OCT Findings of Retinal Vascular-Avascular Junction in Infants with Retinopathy of Prematurity. Ophthalmol Retina 2:963-971
Prigge, Cameron L; Kay, Jeremy N (2018) Dendrite morphogenesis from birth to adulthood. Curr Opin Neurobiol 53:139-145
Dexter, Paige M; Lobanova, Ekaterina S; Finkelstein, Stella et al. (2018) Transducin ?-Subunit Can Interact with Multiple G-Protein ?-Subunits to Enable Light Detection by Rod Photoreceptors. eNeuro 5:
Berry, Duncan; Thomas, Akshay S; Fekrat, Sharon et al. (2018) Association of Disorganization of Retinal Inner Layers with Ischemic Index and Visual Acuity in Central Retinal Vein Occlusion. Ophthalmol Retina 2:1125-1132

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