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Systematic high-content genome-wide RNAi screens of endothelial cell migration and morphology
Many cell types undergo migration during embryogenesis and disease. Endothelial cells line blood vessels and lymphatics, which migrate during development as part of angiogenesis, lymphangiogenesis and other types of vessel remodelling. These processes are also important in wound healing, cancer meta...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5332011/ https://www.ncbi.nlm.nih.gov/pubmed/28248931 http://dx.doi.org/10.1038/sdata.2017.9 |
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author | Williams, Steven P. Gould, Cathryn M. Nowell, Cameron J. Karnezis, Tara Achen, Marc G. Simpson, Kaylene J. Stacker, Steven A. |
author_facet | Williams, Steven P. Gould, Cathryn M. Nowell, Cameron J. Karnezis, Tara Achen, Marc G. Simpson, Kaylene J. Stacker, Steven A. |
author_sort | Williams, Steven P. |
collection | PubMed |
description | Many cell types undergo migration during embryogenesis and disease. Endothelial cells line blood vessels and lymphatics, which migrate during development as part of angiogenesis, lymphangiogenesis and other types of vessel remodelling. These processes are also important in wound healing, cancer metastasis and cardiovascular conditions. However, the molecular control of endothelial cell migration is poorly understood. Here, we present a dataset containing siRNA screens that identify known and novel components of signalling pathways regulating migration of lymphatic endothelial cells. These components are compared to signalling in blood vascular endothelial cells. Further, using high-content microscopy, we captured a dataset of images of migrating cells following transfection with a genome-wide siRNA library. These datasets are suitable for the identification and analysis of genes involved in endothelial cell migration and morphology, and for computational approaches to identify signalling networks controlling the migratory response and integration of cell morphology, gene function and cell signaling. This may facilitate identification of protein targets for therapeutically modulating angiogenesis and lymphangiogenesis in the context of human disease. |
format | Online Article Text |
id | pubmed-5332011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53320112017-03-03 Systematic high-content genome-wide RNAi screens of endothelial cell migration and morphology Williams, Steven P. Gould, Cathryn M. Nowell, Cameron J. Karnezis, Tara Achen, Marc G. Simpson, Kaylene J. Stacker, Steven A. Sci Data Data Descriptor Many cell types undergo migration during embryogenesis and disease. Endothelial cells line blood vessels and lymphatics, which migrate during development as part of angiogenesis, lymphangiogenesis and other types of vessel remodelling. These processes are also important in wound healing, cancer metastasis and cardiovascular conditions. However, the molecular control of endothelial cell migration is poorly understood. Here, we present a dataset containing siRNA screens that identify known and novel components of signalling pathways regulating migration of lymphatic endothelial cells. These components are compared to signalling in blood vascular endothelial cells. Further, using high-content microscopy, we captured a dataset of images of migrating cells following transfection with a genome-wide siRNA library. These datasets are suitable for the identification and analysis of genes involved in endothelial cell migration and morphology, and for computational approaches to identify signalling networks controlling the migratory response and integration of cell morphology, gene function and cell signaling. This may facilitate identification of protein targets for therapeutically modulating angiogenesis and lymphangiogenesis in the context of human disease. Nature Publishing Group 2017-03-01 /pmc/articles/PMC5332011/ /pubmed/28248931 http://dx.doi.org/10.1038/sdata.2017.9 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0 This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0 Metadata associated with this Data Descriptor is available at http://www.nature.com/sdata/ and is released under the CC0 waiver to maximize reuse. |
spellingShingle | Data Descriptor Williams, Steven P. Gould, Cathryn M. Nowell, Cameron J. Karnezis, Tara Achen, Marc G. Simpson, Kaylene J. Stacker, Steven A. Systematic high-content genome-wide RNAi screens of endothelial cell migration and morphology |
title | Systematic high-content genome-wide RNAi screens of endothelial cell migration and morphology |
title_full | Systematic high-content genome-wide RNAi screens of endothelial cell migration and morphology |
title_fullStr | Systematic high-content genome-wide RNAi screens of endothelial cell migration and morphology |
title_full_unstemmed | Systematic high-content genome-wide RNAi screens of endothelial cell migration and morphology |
title_short | Systematic high-content genome-wide RNAi screens of endothelial cell migration and morphology |
title_sort | systematic high-content genome-wide rnai screens of endothelial cell migration and morphology |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5332011/ https://www.ncbi.nlm.nih.gov/pubmed/28248931 http://dx.doi.org/10.1038/sdata.2017.9 |
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