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Interrogating RNA and protein spatial subcellular distribution in smFISH data with DypFISH
Advances in single-cell RNA sequencing have allowed for the identification of cellular subtypes on the basis of quantification of the number of transcripts in each cell. However, cells might also differ in the spatial distribution of molecules, including RNAs. Here, we present DypFISH, an approach t...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017151/ https://www.ncbi.nlm.nih.gov/pubmed/35474672 http://dx.doi.org/10.1016/j.crmeth.2021.100068 |
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author | Savulescu, Anca F. Brackin, Robyn Bouilhol, Emmanuel Dartigues, Benjamin Warrell, Jonathan H. Pimentel, Mafalda R. Beaume, Nicolas Fortunato, Isabela C. Dallongeville, Stephane Boulle, Mikaël Soueidan, Hayssam Agou, Fabrice Schmoranzer, Jan Olivo-Marin, Jean-Christophe Franco, Claudio A. Gomes, Edgar R. Nikolski, Macha Mhlanga, Musa M. |
author_facet | Savulescu, Anca F. Brackin, Robyn Bouilhol, Emmanuel Dartigues, Benjamin Warrell, Jonathan H. Pimentel, Mafalda R. Beaume, Nicolas Fortunato, Isabela C. Dallongeville, Stephane Boulle, Mikaël Soueidan, Hayssam Agou, Fabrice Schmoranzer, Jan Olivo-Marin, Jean-Christophe Franco, Claudio A. Gomes, Edgar R. Nikolski, Macha Mhlanga, Musa M. |
author_sort | Savulescu, Anca F. |
collection | PubMed |
description | Advances in single-cell RNA sequencing have allowed for the identification of cellular subtypes on the basis of quantification of the number of transcripts in each cell. However, cells might also differ in the spatial distribution of molecules, including RNAs. Here, we present DypFISH, an approach to quantitatively investigate the subcellular localization of RNA and protein. We introduce a range of analytical techniques to interrogate single-molecule RNA fluorescence in situ hybridization (smFISH) data in combination with protein immunolabeling. DypFISH is suited to study patterns of clustering of molecules, the association of mRNA-protein subcellular localization with microtubule organizing center orientation, and interdependence of mRNA-protein spatial distributions. We showcase how our analytical tools can achieve biological insights by utilizing cell micropatterning to constrain cellular architecture, which leads to reduction in subcellular mRNA distribution variation, allowing for the characterization of their localization patterns. Furthermore, we show that our method can be applied to physiological systems such as skeletal muscle fibers. |
format | Online Article Text |
id | pubmed-9017151 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-90171512022-04-25 Interrogating RNA and protein spatial subcellular distribution in smFISH data with DypFISH Savulescu, Anca F. Brackin, Robyn Bouilhol, Emmanuel Dartigues, Benjamin Warrell, Jonathan H. Pimentel, Mafalda R. Beaume, Nicolas Fortunato, Isabela C. Dallongeville, Stephane Boulle, Mikaël Soueidan, Hayssam Agou, Fabrice Schmoranzer, Jan Olivo-Marin, Jean-Christophe Franco, Claudio A. Gomes, Edgar R. Nikolski, Macha Mhlanga, Musa M. Cell Rep Methods Article Advances in single-cell RNA sequencing have allowed for the identification of cellular subtypes on the basis of quantification of the number of transcripts in each cell. However, cells might also differ in the spatial distribution of molecules, including RNAs. Here, we present DypFISH, an approach to quantitatively investigate the subcellular localization of RNA and protein. We introduce a range of analytical techniques to interrogate single-molecule RNA fluorescence in situ hybridization (smFISH) data in combination with protein immunolabeling. DypFISH is suited to study patterns of clustering of molecules, the association of mRNA-protein subcellular localization with microtubule organizing center orientation, and interdependence of mRNA-protein spatial distributions. We showcase how our analytical tools can achieve biological insights by utilizing cell micropatterning to constrain cellular architecture, which leads to reduction in subcellular mRNA distribution variation, allowing for the characterization of their localization patterns. Furthermore, we show that our method can be applied to physiological systems such as skeletal muscle fibers. Elsevier 2021-09-13 /pmc/articles/PMC9017151/ /pubmed/35474672 http://dx.doi.org/10.1016/j.crmeth.2021.100068 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Savulescu, Anca F. Brackin, Robyn Bouilhol, Emmanuel Dartigues, Benjamin Warrell, Jonathan H. Pimentel, Mafalda R. Beaume, Nicolas Fortunato, Isabela C. Dallongeville, Stephane Boulle, Mikaël Soueidan, Hayssam Agou, Fabrice Schmoranzer, Jan Olivo-Marin, Jean-Christophe Franco, Claudio A. Gomes, Edgar R. Nikolski, Macha Mhlanga, Musa M. Interrogating RNA and protein spatial subcellular distribution in smFISH data with DypFISH |
title | Interrogating RNA and protein spatial subcellular distribution in smFISH data with DypFISH |
title_full | Interrogating RNA and protein spatial subcellular distribution in smFISH data with DypFISH |
title_fullStr | Interrogating RNA and protein spatial subcellular distribution in smFISH data with DypFISH |
title_full_unstemmed | Interrogating RNA and protein spatial subcellular distribution in smFISH data with DypFISH |
title_short | Interrogating RNA and protein spatial subcellular distribution in smFISH data with DypFISH |
title_sort | interrogating rna and protein spatial subcellular distribution in smfish data with dypfish |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9017151/ https://www.ncbi.nlm.nih.gov/pubmed/35474672 http://dx.doi.org/10.1016/j.crmeth.2021.100068 |
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