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Interrogating RNA and protein spatial subcellular distribution in smFISH data with DypFISH

Anca F. Savulescu, Robyn Brackin, Emmanuel Bouilhol, Benjamin Dartigues, Jonathan Warrell, Mafalda R. Pimentel, Nicolas Beaume, Isabela Corina Fortunato, Stéphane Dallongeville, Mikaël Boullé, Hayssam Soueidan, Fabrice Agou, Jan Schmoranzer, Jean‐Christophe Olivo‐Marín, Cláudio A. Franco, Edgar R. Gomes, Macha Nikolski, Musa M. Mhlanga

2021Cell Reports Methods27 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

RNASubcellular localizationBiologyImmunolabelingCell biologyIn situ hybridizationMessenger RNAComputational biologyProtein subcellular localization predictionCytoplasmBiochemistryGeneImmunohistochemistryImmunologySingle-cell and spatial transcriptomicsRNA Research and SplicingRNA modifications and cancer