Spatial mapping of affinity changes for the integrin LFA-1 during cell migration using clusters identified based on local density

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Spatial mapping of affinity changes for the integrin LFA-1 during cell migration using clusters identified based on local density. / Persson, Henrik; Potrzebowski, Wojciech; Potrzebowska, Katarzyna; Svensson, Lena M.

I: Journal of Biophotonics, Vol. 12, Nr. 3, e201800080, 2019.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

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T1 - Spatial mapping of affinity changes for the integrin LFA-1 during cell migration using clusters identified based on local density

AU - Persson, Henrik

AU - Potrzebowski, Wojciech

AU - Potrzebowska, Katarzyna

AU - Svensson, Lena M.

PY - 2019

Y1 - 2019

N2 - Localization microscopy methods like Stochastic Optical Reconstruction Microscopy (STORM) are very well suited for exploring clustering of proteins, as the data inherently provide a list of molecular coordinates. Here we use state-of-art cluster analysis algorithms (DBSCAN) to explore the clustering behaviour of different affinity forms of the integrin LFA-1. It has been suggested that LFA-1 may form clusters, in order to increase the avidity to ICAM-1. However, this hypothesis still seems to be controversial. In this study, we found, variations in clustering behaviour among the different affinity forms of LFA-1 in migrating T-cells. We found that panLFA-1 is located in clusters throughout the polarised cell on ICAM-1, with an increased density of molecules and clusters in the mid area and rear of the cell, whereas the intermediate and high affinity form of LFA-1 showed an increased number in the mid area of a migrating cell and the high affinity form of LFA-1 in the front and rear. Together, these data suggest that, in addition to LFA-1 conformation, protein clustering might play a role in controlling cell-substrate adhesion on ICAM-1.By applying the cluster analysis algorithm DBSCAN to localization microscopy data, integrin clusters could be identified and different cluster parameters could be quantified.

AB - Localization microscopy methods like Stochastic Optical Reconstruction Microscopy (STORM) are very well suited for exploring clustering of proteins, as the data inherently provide a list of molecular coordinates. Here we use state-of-art cluster analysis algorithms (DBSCAN) to explore the clustering behaviour of different affinity forms of the integrin LFA-1. It has been suggested that LFA-1 may form clusters, in order to increase the avidity to ICAM-1. However, this hypothesis still seems to be controversial. In this study, we found, variations in clustering behaviour among the different affinity forms of LFA-1 in migrating T-cells. We found that panLFA-1 is located in clusters throughout the polarised cell on ICAM-1, with an increased density of molecules and clusters in the mid area and rear of the cell, whereas the intermediate and high affinity form of LFA-1 showed an increased number in the mid area of a migrating cell and the high affinity form of LFA-1 in the front and rear. Together, these data suggest that, in addition to LFA-1 conformation, protein clustering might play a role in controlling cell-substrate adhesion on ICAM-1.By applying the cluster analysis algorithm DBSCAN to localization microscopy data, integrin clusters could be identified and different cluster parameters could be quantified.

KW - cluster analysis

KW - DBSCAN

KW - integrins

KW - LFA-1

KW - localization microscopy

KW - STORM

KW - T-lymphocyte

U2 - 10.1002/jbio.201800080

DO - 10.1002/jbio.201800080

M3 - Article

C2 - 30267470

AN - SCOPUS:85056079021

VL - 12

JO - Journal of Biophotonics

JF - Journal of Biophotonics

SN - 1864-063X

IS - 3

M1 - e201800080

ER -