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Sub-microscopic analysis of t-tubule geometry in living cardiac ventricular myocytes using a shape-based analysis method

Research output: Contribution to journalArticle

  • Cherrie H.T. Kong
  • Eva A. Rog-Zielinska
  • Peter Kohl
  • Clive Orchard
  • Mark B. Cannell
Original languageEnglish
Pages (from-to)1-7
Number of pages7
JournalJournal of Molecular and Cellular Cardiology
Volume108
Early online date5 May 2017
DOIs
DateAccepted/In press - 3 May 2017
DateE-pub ahead of print - 5 May 2017
DatePublished (current) - 1 Jul 2017

Abstract

Transverse-axial tubules (TTs) are key structures involved in cardiac excitation-contraction coupling and can become deranged in disease. Although optical measurement of TTs is frequently employed to assess TT abundance and regularity, TT dimensions are generally below the diffraction limit of optical microscopy so determination of tubule size is problematic. TT diameter was measured by labeling both local surface membrane area and volume with fluorescent probes (FM4-64 and calcein, respectively), correcting image asymmetry by image processing and using the relationship between surface area and volume for a geometric primitive. This method shows that TTs have a mean (± SEM) diameter of 356 ± 18 nm in rabbit and 169 ± 15 nm in mouse (p < 0.001). Rabbit TT diameters were more variable than those of mouse (p < 0.01) and the smallest TT detected was 41 nm in mouse and the largest 695 nm in rabbit. These estimates are consistent with TT diameters derived from the more limited sampling of high-pressure frozen samples by electron tomography (which examines only a small fraction of the cell volume). Other measures of TT abundance and geometry (such as volume, membrane fractions and direction) were also derived. On the physiological time scale of E-C coupling (milliseconds), the average TT electrical space constant is ~ 175 μm in rabbit and ~ 120 μm in mouse and is ~ 50% of the steady-state space constant. This is sufficient to ensure reasonable electrical uniformity across normal cells. The image processing strategy and shape-based 3D approach to feature quantification is also generally applicable to other problems in quantification of sub-cellular anatomy.

    Research areas

  • Confocal imaging, Image processing, Fluorescent dyes, Cardiac myocyte, T-tubules, Geometry

    Structured keywords

  • IAS
  • Bristol Heart Institute

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