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Research Article
Characterization of dynamic actin associations with T-cell receptor microclusters in primary T cells
Alexander A. Smoligovets, Adam W. Smith, Hung-Jen Wu, Rebecca S. Petit, Jay T. Groves
Journal of Cell Science 2012 125: 735-742; doi: 10.1242/jcs.092825
Alexander A. Smoligovets
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Adam W. Smith
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Hung-Jen Wu
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Rebecca S. Petit
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Jay T. Groves
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  • For correspondence: jtgroves@lbl.gov
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    Fig. 1.

    The supported lipid bilayer allows visualization of the T cell cortical actin cytoskeleton during immunological synapse formation. (A) Schematic outline of the experiment. T cells interact with a supported lipid bilayer functionalized with APC proteins. Centripetal flow of the actin cytoskeleton causes TCR microclusters to coalesce and translocate until they reach a chromium barrier (Cr), where they accumulate. The ICAM-1 APC protein (not shown) is also included and interacts with T cell LFA-1. Ni2+-DOGS lipids (purple circles) and the TIRF illumination beam (cyan) are not labeled. (B–G) TIRF microscopy images of TCRs, the actin cytoskeleton and ICAM-1, as well as bright field and reflection interference contrast microscopy (RICM) images of a cell on a grid-patterned substrate show a typical frustrated immunological synapse. Scale bar: 5 μm.

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    Fig. 2.

    Analysis methods for bulk cytoskeletal flow are distinct from those used to describe speckle motion. (A) A vector-field algorithm identifies the centers of actin features across a whole cell. (B,C) The white square in A is enlarged to clearly show individual vectors in the vector field, and actin features are tracked across multiple frames. New features without tracks are also visible in C. (D) Schematic of the escape time analysis. The time it takes for a feature to travel further than a given escape distance (r) in any direction is its escape time (τ). (E) Escape times are distributed into populations based on each feature's instantaneous position. For example, features within 0.63 μm (10 pixels) of a single pattern boundary and on the opposite side from the cell center are colored dark blue or red, those within 0.63 μm of two boundaries are colored light blue and all other features are colored green. Scale bars: 5 μm.

  • Fig. 3.
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    Fig. 3.

    Actin features slow down in TCR-rich regions. (A,B) Two regions of a cell partially on a grid-patterned supported lipid bilayer equidistant from the cell center were selected (yellow and purple rectangles in A) for analysis of actin escape times (B). (C–E) Representative frames from time lapses show cells interacting with a grid-patterned substrate (C), a cross-patterned substrate (D) or an unpatterned substrate overlaid with the grid used for analysis (E). (F–H) Actin features from the cells in C–E were partitioned into four populations and analyzed for escape times. The inset shows that the green population is composed of all steps occurring further than 0.63 μm (10 pixels) from the outside edge of a grid line, the dark blue and red populations are composed of steps occurring within 0.63 μm of an x or y grid line, respectively, and the light blue population is composed of steps occurring within 0.63 μm of both grid lines. Error bars represent s.e.m. Scale bars: 5 μm.

  • Fig. 4.
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    Fig. 4.

    Increased actin escape times correspond to motion perpendicular to TCR diffusion barriers. (A,D,G) Representative frames from time lapses show cells interacting with a grid-patterned substrate (A), a cross-patterned substrate (D) or an unpatterned substrate overlaid with the grid used for analysis (G). (B,E,H) The escape time analysis from Fig. 3 was repeated for the cells in A,D,G, but the escape time was redefined as the time it takes for a feature to move outside of an area identified by boundaries tangential to the original escape area and parallel to the y grid line (schematic above column). This in effect considers only the x component of motion of the feature. (C,F,I) The escape time analysis from Fig. 3 was repeated for the cells in A,D,G, but the escape time was redefined as the time it takes for a heterogeneity to move outside of an area identified by boundaries tangential to the original escape area and parallel to the x grid line (schematic above column). This in effect considers only the y component of motion of the feature. Error bars represent s.e.m. Scale bars: 5 μm.

  • Fig. 5.
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    Fig. 5.

    Transient enrichments of the actin cytoskeleton occur at TCR clusters. (A–C) Images taken before cytoskeletal time-lapse recording show the bright field (A), RICM (B) and TCR channel (C) views of an EGFP–β-actin-labeled cell. (D) The entire cytoskeletal time-lapse recording was time-averaged and areas corresponding to actin accumulations (blue regions 1, 2 and 3) and nearby background areas (red regions 1, 2 and 3) selected. (E) Fluorescence intensity profile over time is shown for each pixel within the regions selected in D. (F) Autocorrelation of the results shown in E. (G) The integral of the autocorrelation of the fluorescence intensity profile of every pixel in the cytoskeletal time-lapse image stack is output in the x–y location corresponding to its original pixel and displayed according to a color scale of arbitrary units. The white asterisks correspond to areas of extension and retraction of the lamellipodia and the white arrows highlight areas of high autocorrelation due to putative actin accumulations. Scale bars: 5 μm.

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Research Article
Characterization of dynamic actin associations with T-cell receptor microclusters in primary T cells
Alexander A. Smoligovets, Adam W. Smith, Hung-Jen Wu, Rebecca S. Petit, Jay T. Groves
Journal of Cell Science 2012 125: 735-742; doi: 10.1242/jcs.092825
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Research Article
Characterization of dynamic actin associations with T-cell receptor microclusters in primary T cells
Alexander A. Smoligovets, Adam W. Smith, Hung-Jen Wu, Rebecca S. Petit, Jay T. Groves
Journal of Cell Science 2012 125: 735-742; doi: 10.1242/jcs.092825

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