2020
DOI: 10.1101/2020.11.06.371690
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Liver environment-imposed constraints diversify movement strategies of liver-localized CD8 T cells

Abstract: Pathogen-specific CD8 T cells face the problem of finding rare cells that present their cognate antigen either in the lymph node or infected tissue. To optimize the search for rare targets it has been proposed that T cells might perform a random walk with long displacements called Levy walks enabling superdiffusive behavior and shorter search times1–3. Many agents ranging from cells to large animals have been found to perform Levy walks3–5 suggesting that Levy walk-based search strategies may be evolutionary s… Show more

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Cited by 4 publications
(35 citation statements)
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References 67 publications
(283 reference statements)
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“…Lymphocyte movement is important to locate infections at peripheral sites, but how cells coordinate movements to achieve such a goal remains poorly defined [2, 3]. Typically, movement of cells in tissues in vivo is recorded using intravital microscopy at a particular frame rate (e.g., a small 3D volume of the liver of 500 × 500 × 50 µ m can be scanned every 20 sec, [3, 4]) and by segmenting individual time frames with software (e.g., ImageJ from the NIH or Imaris from Bitplane), 3D coordinates of multiple cells over time can be obtained. Several parameters such as mean square displacement and movement length distribution can be then generated from such digitized data, sometimes providing important insights into cell movement strategies [3, 5].…”
Section: Resultsmentioning
confidence: 99%
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“…Lymphocyte movement is important to locate infections at peripheral sites, but how cells coordinate movements to achieve such a goal remains poorly defined [2, 3]. Typically, movement of cells in tissues in vivo is recorded using intravital microscopy at a particular frame rate (e.g., a small 3D volume of the liver of 500 × 500 × 50 µ m can be scanned every 20 sec, [3, 4]) and by segmenting individual time frames with software (e.g., ImageJ from the NIH or Imaris from Bitplane), 3D coordinates of multiple cells over time can be obtained. Several parameters such as mean square displacement and movement length distribution can be then generated from such digitized data, sometimes providing important insights into cell movement strategies [3, 5].…”
Section: Resultsmentioning
confidence: 99%
“…Typically, movement of cells in tissues in vivo is recorded using intravital microscopy at a particular frame rate (e.g., a small 3D volume of the liver of 500 × 500 × 50 µ m can be scanned every 20 sec, [3, 4]) and by segmenting individual time frames with software (e.g., ImageJ from the NIH or Imaris from Bitplane), 3D coordinates of multiple cells over time can be obtained. Several parameters such as mean square displacement and movement length distribution can be then generated from such digitized data, sometimes providing important insights into cell movement strategies [3, 5]. From cell displacements per time interval or from overall displacement of the cell over the course of the whole movie, one can calculate the cell’s speed.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations