Spatial mapping of affinity changes for the integrin LFA-1 during cell migration using clusters identified based on local density
(2019) In Journal of Biophotonics 12(3).- Abstract
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... (More)
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.
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- author
- Persson, Henrik LU ; Potrzebowski, Wojciech LU ; Potrzebowska, Katarzyna LU and Svensson, Lena M. LU
- organization
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- cluster analysis, DBSCAN, integrins, LFA-1, localization microscopy, STORM, T-lymphocyte
- in
- Journal of Biophotonics
- volume
- 12
- issue
- 3
- article number
- e201800080
- publisher
- John Wiley & Sons Inc.
- external identifiers
-
- pmid:30267470
- scopus:85056079021
- ISSN
- 1864-063X
- DOI
- 10.1002/jbio.201800080
- language
- English
- LU publication?
- yes
- id
- e096e012-007c-40e0-9ed0-743fb2f93763
- date added to LUP
- 2018-11-23 09:02:27
- date last changed
- 2024-02-14 11:24:23
@article{e096e012-007c-40e0-9ed0-743fb2f93763, abstract = {{<p>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.</p>}}, author = {{Persson, Henrik and Potrzebowski, Wojciech and Potrzebowska, Katarzyna and Svensson, Lena M.}}, issn = {{1864-063X}}, keywords = {{cluster analysis; DBSCAN; integrins; LFA-1; localization microscopy; STORM; T-lymphocyte}}, language = {{eng}}, number = {{3}}, publisher = {{John Wiley & Sons Inc.}}, series = {{Journal of Biophotonics}}, title = {{Spatial mapping of affinity changes for the integrin LFA-1 during cell migration using clusters identified based on local density}}, url = {{http://dx.doi.org/10.1002/jbio.201800080}}, doi = {{10.1002/jbio.201800080}}, volume = {{12}}, year = {{2019}}, }