| Autor: |
Annamdevula N; Pharmacology, University of South Alabama, Mobile, AL 36688., Johnson S; Pharmacology, University of South Alabama, Mobile, AL 36688., Pleshinger DJ; Pharmacology, University of South Alabama, Mobile, AL 36688., Castleberry S; University of West Alabama, Livingston, AL 35470., Russell W; Auburn University, Auburn, AL 36849., Britain AL; Pharmacology, University of South Alabama, Mobile, AL 36688., Francis CM; Physiology and Cell Biology, University of South Alabama, Mobile, AL 36688., Rich TC; Pharmacology, University of South Alabama, Mobile, AL 36688., Leavesley SJ; Pharmacology, University of South Alabama, Mobile, AL 36688.; Chemical and Biomolecular Engineering, University of South Alabama, Mobile, AL 36688. |
| Abstrakt: |
Cyclic AMP (cAMP) is a second messenger that regulates a wide variety of cellular functions. There is increasing evidence suggesting that signaling specificity is due in part to cAMP compartmentalization. In the last 15 years, development of cAMP-specific Förster resonance energy transfer (FRET) probes have allowed us to visualize spatial distributions of intracellular cAMP signals. The use of FRET-based sensors is not without its limitations, as FRET probes display low signal to noise ratio (SNR). Hyperspectral imaging and analysis approaches have, in part, allowed us to overcome these limitations by improving the SNR of FRET measurements. Here we demonstrate that the combination of hyperspectral imaging approaches, linear unmixing, and adaptive thresholding allow us to visualize regions of elevated cAMP (regions of interest - ROIs) in an unbiased manner. We transfected cDNA encoding the H188 FRET-based cAMP probe into pulmonary microvascular endothelial cells. Application of isoproterenol and prostaglandin E1 (PGE 1 ) triggered complex cAMP responses. Spatial and temporal aspects of cAMP responses were quantified using an adaptive thresholding approach and compared between agonist treatment groups. Our data indicate that both the origination sites and spatial/temporal distributions of cAMP signals are agonist dependent in PMVECs. We are currently analyzing the data in order to better quantify the distribution of cAMP signals triggered by different agonists. |
