Treffer: Imaging local Ca2+ signals in cultured mammalian cells.
J Biol Chem. 1989 May 15;264(14):8171-8. (PMID: 2498308)
J Physiol. 1997 Mar 1;499 ( Pt 2):291-306. (PMID: 9080360)
Nat Rev Mol Cell Biol. 2000 Oct;1(1):11-21. (PMID: 11413485)
Cell Calcium. 2009 Jan;45(1):65-76. (PMID: 18639334)
Biophys J. 1996 Jan;70(1):222-37. (PMID: 8770200)
Cell Calcium. 2014 Sep;56(3):147-56. (PMID: 25047761)
J Neurosci. 2010 Jun 30;30(26):8797-806. (PMID: 20592201)
Prog Biophys Mol Biol. 1996;65(3):265-96. (PMID: 9062435)
Proc Natl Acad Sci U S A. 2009 Apr 14;106(15):6404-9. (PMID: 19332787)
Cell Calcium. 2005 Apr;37(4):283-99. (PMID: 15755490)
Biophys J. 2004 May;86(5):3250-9. (PMID: 15111438)
Cold Spring Harb Perspect Biol. 2011 Nov 01;3(11):a004564. (PMID: 21791697)
SY7Q814VUP (Calcium)
Weitere Informationen
Cytosolic Ca2+ ions regulate numerous aspects of cellular activity in almost all cell types, controlling processes as wide-ranging as gene transcription, electrical excitability and cell proliferation. The diversity and specificity of Ca2+ signaling derives from mechanisms by which Ca2+ signals are generated to act over different time and spatial scales, ranging from cell-wide oscillations and waves occurring over the periods of minutes to local transient Ca2+ microdomains (Ca2+ puffs) lasting milliseconds. Recent advances in electron multiplied CCD (EMCCD) cameras now allow for imaging of local Ca2+ signals with a 128 x 128 pixel spatial resolution at rates of >500 frames sec(-1) (fps). This approach is highly parallel and enables the simultaneous monitoring of hundreds of channels or puff sites in a single experiment. However, the vast amounts of data generated (ca. 1 Gb per min) render visual identification and analysis of local Ca2+ events impracticable. Here we describe and demonstrate the procedures for the acquisition, detection, and analysis of local IP3-mediated Ca2+ signals in intact mammalian cells loaded with Ca2+ indicators using both wide-field epi-fluorescence (WF) and total internal reflection fluorescence (TIRF) microscopy. Furthermore, we describe an algorithm developed within the open-source software environment Python that automates the identification and analysis of these local Ca2+ signals. The algorithm localizes sites of Ca2+ release with sub-pixel resolution; allows user review of data; and outputs time sequences of fluorescence ratio signals together with amplitude and kinetic data in an Excel-compatible table.