This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. We use the NCMIR's and NBCR's tomographic resources to: (1) determine the 3-dimensional volume of the endoplasmic reticulum in RBL-2H3 cells and (2) reconstruct a 3-dimensional view of a 'typical' resting and activated RBL-2H3 cell, reflecting the dramatic changes in surface topography (and potentially volume). We showed previously that Type 2 IP3 receptors form large clusters within the endoplasmic reticulum within minutes of sustained elevations in calcium induced by receptor activation or calcium ionophore. For our current modeling project, that attempts to predict the effects of IP3 receptor clustering on the filling state of the ER calcium store, we need accurate measurements of the endoplasmic reticulum volume, shape and distribution. Because the two cell types are so different, our modeling project will need to be based upon actual TEM measurements in RBL cells. We will integrate the ER volume data with IP3 cluster number and distribution data obtained by confocal microscopy and ultra-cryo immunogold labeling. We previously used immunogold labeling of membrane sheets to map distributions of receptors and associated signaling molecules in discrete microdomains of the plasma membrane. Previous work from the Oliver group has mapped distribution of receptors by scanning electron microscopy, using backscattered electron detection for gold particle imaging.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR008605-13
Application #
7358693
Study Section
Special Emphasis Panel (ZRG1-SSS-9 (40))
Project Start
2006-05-01
Project End
2007-04-30
Budget Start
2006-05-01
Budget End
2007-04-30
Support Year
13
Fiscal Year
2006
Total Cost
$3,439
Indirect Cost
Name
University of California San Diego
Department
Anatomy/Cell Biology
Type
Schools of Arts and Sciences
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Pantoja, Joe Luis; Morgan, Ashley E; Grossi, Eugene A et al. (2017) Undersized Mitral Annuloplasty Increases Strain in the Proximal Lateral Left Ventricular Wall. Ann Thorac Surg 103:820-827
Morgan, Ashley E; Wozniak, Curtis J; Gulati, Sarthak et al. (2017) Association of Uneven MitraClip Application and Leaflet Stress in a Finite Element Model. JAMA Surg 152:111-114
Bucero, Marta Abril; Bajaj, Chandrajit; Mourrain, Bernard (2016) On the construction of general cubature formula by flat extensions. Linear Algebra Appl 502:104-125
Ebeida, Mohamed S; Rushdi, Ahmad A; Awad, Muhammad A et al. (2016) Disk Density Tuning of a Maximal Random Packing. Comput Graph Forum 35:259-269
Yang, Pei-Chi; Boras, Britton W; Jeng, Mao-Tsuen et al. (2016) A Computational Modeling and Simulation Approach to Investigate Mechanisms of Subcellular cAMP Compartmentation. PLoS Comput Biol 12:e1005005
Watson, Shana R; Liu, Piaomu; Peña, Edsel A et al. (2016) Comparison of Aortic Collagen Fiber Angle Distribution in Mouse Models of Atherosclerosis Using Second-Harmonic Generation (SHG) Microscopy. Microsc Microanal 22:55-62
Ge, Liang; Wu, Yife; Soleimani, Mehrdad et al. (2016) Moderate Ischemic Mitral Regurgitation After Posterolateral Myocardial Infarction in Sheep Alters Left Ventricular Shear but Not Normal Strain in the Infarct and Infarct Borderzone. Ann Thorac Surg 101:1691-9
Morgan, Ashley E; Pantoja, Joe Luis; Weinsaft, Jonathan et al. (2016) Finite Element Modeling of Mitral Valve Repair. J Biomech Eng 138:021009
Morgan, Ashley E; Pantoja, Joe L; Grossi, Eugene A et al. (2016) Neochord placement versus triangular resection in mitral valve repair: A finite element model. J Surg Res 206:98-105
Purvine, Emilie; Monson, Kyle; Jurrus, Elizabeth et al. (2016) Energy Minimization of Discrete Protein Titration State Models Using Graph Theory. J Phys Chem B 120:8354-60

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