1. Interrogating RNA and protein spatial subcellular distribution in smFISH data with DypFISH
- Author
-
Jan Schmoranzer, Nicolas Beaume, Mafalda R. Pimentel, Jonathan Warrell, Macha Nikolski, Anca F. Savulescu, Mikaël Boulle, Emmanuel Bouilhol, Edgar R. Gomes, Stephane Dallongeville, Fabrice Agou, Jean-Christophe Olivo-Marin, Musa M. Mhlanga, Isabela C Fortunato, Claudio A. Franco, Hayssam Soueidan, Benjamin Dartigues, Robyn Brackin, University of Cape Town, Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Centre de Bioinformatique de Bordeaux (CBIB), CGFB, Institut de biochimie et génétique cellulaires (IBGC), Université Bordeaux Segalen - Bordeaux 2-Centre National de la Recherche Scientifique (CNRS), Yale University [New Haven], Universidade de Lisboa = University of Lisbon (ULISBOA), Analyse d'images biologiques - Biological Image Analysis (BIA), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Criblage chémogénomique et biologique (Plateforme) - Chemogenomic and Biological Screening Platform (PF-CCB), Institut Pasteur [Paris] (IP), École Doctorale Bio Sorbonne Paris Cité [Paris] (ED562 - BioSPC), Université Sorbonne Paris Cité (USPC)-Université Paris Cité (UPCité), Radboud University [Nijmegen], This research has been supported by the following grants, all to M.M.M. V2YGE81 (to A.F.S.) and PG-V2KYPO7, TA 2011 011 from the Council for Industrial and Scientific Research (CSIR) (South Africa) and by a grant from the Emerging Research Area Program of The Department of Science and Technology (South Africa) Department of Science & Technology Center of Competence Grant, SA Medical Research Council SHIP grant, and CSIR Parliamentary Grant. M.M.M. and M.N. are Chan Zuckerberg Investigators of the Chan Zuckerberg Initiative – Human Cell Atlas program., We thank all members of the Gene Expression and Biophysics Laboratory (Mhlanga Lab). We thank N. Crosetto, and members of the L. Pelkmans lab, members of the J.-C. Olivo-Marin lab, K. Schauer, and members of the B. Goud lab for comments on the manuscript. A.F.S. is a recipient of a postdoctoral fellowship from the Claude Leon Foundation, South Africa., Universidade de Lisboa (ULISBOA), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur [Paris], École Doctorale Bio Sorbonne Paris Cité [Paris] (ED BioSPC), Université Sorbonne Paris Cité (USPC)-Université de Paris (UP), and Radboud university [Nijmegen]
- Subjects
Cell ,Computational biology ,[SDV.BC.BC]Life Sciences [q-bio]/Cellular Biology/Subcellular Processes [q-bio.SC] ,Biochemistry, Genetics and Molecular Biology (miscellaneous) ,Biochemistry ,03 medical and health sciences ,Immunolabeling ,0302 clinical medicine ,Genetics ,medicine ,Radiology, Nuclear Medicine and imaging ,030304 developmental biology ,0303 health sciences ,Messenger RNA ,medicine.diagnostic_test ,Cellular architecture ,Chemistry ,RNA ,Microtubule organizing center ,Cell Biology ,Subcellular localization ,Computer Science Applications ,medicine.anatomical_structure ,[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] ,030217 neurology & neurosurgery ,Biotechnology ,Fluorescence in situ hybridization - Abstract
International audience; 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.
- Published
- 2021