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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
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.
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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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