Cargando…

Proteomic and bioinformatic analysis of epithelial tight junction reveals an unexpected cluster of synaptic molecules

BACKGROUND: Zonula occludens, also known as the tight junction, is a specialized cell-cell interaction characterized by membrane "kisses" between epithelial cells. A cytoplasmic plaque of ~100 nm corresponding to a meshwork of densely packed proteins underlies the tight junction membrane d...

Descripción completa

Detalles Bibliográficos
Autor principal: Tang, Vivian W
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1712231/
https://www.ncbi.nlm.nih.gov/pubmed/17156438
http://dx.doi.org/10.1186/1745-6150-1-37
_version_ 1782131292043739136
author Tang, Vivian W
author_facet Tang, Vivian W
author_sort Tang, Vivian W
collection PubMed
description BACKGROUND: Zonula occludens, also known as the tight junction, is a specialized cell-cell interaction characterized by membrane "kisses" between epithelial cells. A cytoplasmic plaque of ~100 nm corresponding to a meshwork of densely packed proteins underlies the tight junction membrane domain. Due to its enormous size and difficulties in obtaining a biochemically pure fraction, the molecular composition of the tight junction remains largely unknown. RESULTS: A novel biochemical purification protocol has been developed to isolate tight junction protein complexes from cultured human epithelial cells. After identification of proteins by mass spectroscopy and fingerprint analysis, candidate proteins are scored and assessed individually. A simple algorithm has been devised to incorporate transmembrane domains and protein modification sites for scoring membrane proteins. Using this new scoring system, a total of 912 proteins have been identified. These 912 hits are analyzed using a bioinformatics approach to bin the hits in 4 categories: configuration, molecular function, cellular function, and specialized process. Prominent clusters of proteins related to the cytoskeleton, cell adhesion, and vesicular traffic have been identified. Weaker clusters of proteins associated with cell growth, cell migration, translation, and transcription are also found. However, the strongest clusters belong to synaptic proteins and signaling molecules. Localization studies of key components of synaptic transmission have confirmed the presence of both presynaptic and postsynaptic proteins at the tight junction domain. To correlate proteomics data with structure, the tight junction has been examined using electron microscopy. This has revealed many novel structures including end-on cytoskeletal attachments, vesicles fusing/budding at the tight junction membrane domain, secreted substances encased between the tight junction kisses, endocytosis of tight junction double membranes, satellite Golgi apparatus and associated vesicular structures. A working model of the tight junction consisting of multiple functions and sub-domains has been generated using the proteomics and structural data. CONCLUSION: This study provides an unbiased proteomics and bioinformatics approach to elucidate novel functions of the tight junction. The approach has revealed an unexpected cluster associating with synaptic function. This surprising finding suggests that the tight junction may be a novel epithelial synapse for cell-cell communication. REVIEWERS: This article was reviewed by Gáspár Jékely, Etienne Joly and Neil Smalheiser.
format Text
id pubmed-1712231
institution National Center for Biotechnology Information
language English
publishDate 2006
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-17122312006-12-20 Proteomic and bioinformatic analysis of epithelial tight junction reveals an unexpected cluster of synaptic molecules Tang, Vivian W Biol Direct Research BACKGROUND: Zonula occludens, also known as the tight junction, is a specialized cell-cell interaction characterized by membrane "kisses" between epithelial cells. A cytoplasmic plaque of ~100 nm corresponding to a meshwork of densely packed proteins underlies the tight junction membrane domain. Due to its enormous size and difficulties in obtaining a biochemically pure fraction, the molecular composition of the tight junction remains largely unknown. RESULTS: A novel biochemical purification protocol has been developed to isolate tight junction protein complexes from cultured human epithelial cells. After identification of proteins by mass spectroscopy and fingerprint analysis, candidate proteins are scored and assessed individually. A simple algorithm has been devised to incorporate transmembrane domains and protein modification sites for scoring membrane proteins. Using this new scoring system, a total of 912 proteins have been identified. These 912 hits are analyzed using a bioinformatics approach to bin the hits in 4 categories: configuration, molecular function, cellular function, and specialized process. Prominent clusters of proteins related to the cytoskeleton, cell adhesion, and vesicular traffic have been identified. Weaker clusters of proteins associated with cell growth, cell migration, translation, and transcription are also found. However, the strongest clusters belong to synaptic proteins and signaling molecules. Localization studies of key components of synaptic transmission have confirmed the presence of both presynaptic and postsynaptic proteins at the tight junction domain. To correlate proteomics data with structure, the tight junction has been examined using electron microscopy. This has revealed many novel structures including end-on cytoskeletal attachments, vesicles fusing/budding at the tight junction membrane domain, secreted substances encased between the tight junction kisses, endocytosis of tight junction double membranes, satellite Golgi apparatus and associated vesicular structures. A working model of the tight junction consisting of multiple functions and sub-domains has been generated using the proteomics and structural data. CONCLUSION: This study provides an unbiased proteomics and bioinformatics approach to elucidate novel functions of the tight junction. The approach has revealed an unexpected cluster associating with synaptic function. This surprising finding suggests that the tight junction may be a novel epithelial synapse for cell-cell communication. REVIEWERS: This article was reviewed by Gáspár Jékely, Etienne Joly and Neil Smalheiser. BioMed Central 2006-12-08 /pmc/articles/PMC1712231/ /pubmed/17156438 http://dx.doi.org/10.1186/1745-6150-1-37 Text en Copyright © 2006 Tang; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Tang, Vivian W
Proteomic and bioinformatic analysis of epithelial tight junction reveals an unexpected cluster of synaptic molecules
title Proteomic and bioinformatic analysis of epithelial tight junction reveals an unexpected cluster of synaptic molecules
title_full Proteomic and bioinformatic analysis of epithelial tight junction reveals an unexpected cluster of synaptic molecules
title_fullStr Proteomic and bioinformatic analysis of epithelial tight junction reveals an unexpected cluster of synaptic molecules
title_full_unstemmed Proteomic and bioinformatic analysis of epithelial tight junction reveals an unexpected cluster of synaptic molecules
title_short Proteomic and bioinformatic analysis of epithelial tight junction reveals an unexpected cluster of synaptic molecules
title_sort proteomic and bioinformatic analysis of epithelial tight junction reveals an unexpected cluster of synaptic molecules
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1712231/
https://www.ncbi.nlm.nih.gov/pubmed/17156438
http://dx.doi.org/10.1186/1745-6150-1-37
work_keys_str_mv AT tangvivianw proteomicandbioinformaticanalysisofepithelialtightjunctionrevealsanunexpectedclusterofsynapticmolecules