A new tool to quantify receptor recruitment to cell contact sites during host-pathogen interaction.
To understand the process of innate immune fungal recognition, we developed computational tools for the rigorous quantification and comparison of receptor recruitment and distribution at cell-cell contact sites. We used these tools to quantify pattern recognition receptor spatiotemporal distribution...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2014-05-01
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| Series: | PLoS Computational Biology |
| Online Access: | http://europepmc.org/articles/PMC4038466?pdf=render |
| _version_ | 1818506184920924160 |
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| author | Matthew S Graus Carolyn Pehlke Michael J Wester Lisa B Davidson Stanly L Steinberg Aaron K Neumann |
| author_facet | Matthew S Graus Carolyn Pehlke Michael J Wester Lisa B Davidson Stanly L Steinberg Aaron K Neumann |
| author_sort | Matthew S Graus |
| collection | DOAJ |
| description | To understand the process of innate immune fungal recognition, we developed computational tools for the rigorous quantification and comparison of receptor recruitment and distribution at cell-cell contact sites. We used these tools to quantify pattern recognition receptor spatiotemporal distributions in contacts between primary human dendritic cells and the fungal pathogens C. albicans, C. parapsilosis and the environmental yeast S. cerevisiae, imaged using 3D multichannel laser scanning confocal microscopy. The detailed quantitative analysis of contact sites shows that, despite considerable biochemical similarity in the composition and structure of these species' cell walls, the receptor spatiotemporal distribution in host-microbe contact sites varies significantly between these yeasts. Our findings suggest a model where innate immune cells discriminate fungal microorganisms based on differential mobilization and coordination of receptor networks. Our analysis methods are also broadly applicable to a range of cell-cell interactions central to many biological problems. |
| first_indexed | 2024-12-10T22:01:05Z |
| format | Article |
| id | doaj.art-263374a4f4324948a34b06a4e2caeeef |
| institution | Directory Open Access Journal |
| issn | 1553-734X 1553-7358 |
| language | English |
| last_indexed | 2024-12-10T22:01:05Z |
| publishDate | 2014-05-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj.art-263374a4f4324948a34b06a4e2caeeef2022-12-22T01:31:54ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582014-05-01105e100363910.1371/journal.pcbi.1003639A new tool to quantify receptor recruitment to cell contact sites during host-pathogen interaction.Matthew S GrausCarolyn PehlkeMichael J WesterLisa B DavidsonStanly L SteinbergAaron K NeumannTo understand the process of innate immune fungal recognition, we developed computational tools for the rigorous quantification and comparison of receptor recruitment and distribution at cell-cell contact sites. We used these tools to quantify pattern recognition receptor spatiotemporal distributions in contacts between primary human dendritic cells and the fungal pathogens C. albicans, C. parapsilosis and the environmental yeast S. cerevisiae, imaged using 3D multichannel laser scanning confocal microscopy. The detailed quantitative analysis of contact sites shows that, despite considerable biochemical similarity in the composition and structure of these species' cell walls, the receptor spatiotemporal distribution in host-microbe contact sites varies significantly between these yeasts. Our findings suggest a model where innate immune cells discriminate fungal microorganisms based on differential mobilization and coordination of receptor networks. Our analysis methods are also broadly applicable to a range of cell-cell interactions central to many biological problems.http://europepmc.org/articles/PMC4038466?pdf=render |
| spellingShingle | Matthew S Graus Carolyn Pehlke Michael J Wester Lisa B Davidson Stanly L Steinberg Aaron K Neumann A new tool to quantify receptor recruitment to cell contact sites during host-pathogen interaction. PLoS Computational Biology |
| title | A new tool to quantify receptor recruitment to cell contact sites during host-pathogen interaction. |
| title_full | A new tool to quantify receptor recruitment to cell contact sites during host-pathogen interaction. |
| title_fullStr | A new tool to quantify receptor recruitment to cell contact sites during host-pathogen interaction. |
| title_full_unstemmed | A new tool to quantify receptor recruitment to cell contact sites during host-pathogen interaction. |
| title_short | A new tool to quantify receptor recruitment to cell contact sites during host-pathogen interaction. |
| title_sort | new tool to quantify receptor recruitment to cell contact sites during host pathogen interaction |
| url | http://europepmc.org/articles/PMC4038466?pdf=render |
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