Quantitative, Real-Time, Single Cell Analysis in Tissue Reveals Expression Dynamics of Neurogenesis
bioRxiv preprint doi: https://doi.org/10.1101/373407; this version posted July 20, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Quantitative, real-time, single cell analysis in tissue reveals expression dynamics of neurogenesis Cerys S Manning1*, Veronica Biga1#, James Boyd2#, Jochen Kursawe1#, Bodvar Ymisson1, David G Spiller3, Christopher M Sanderson2, Tobias Galla4, Magnus Rattray5, and Nancy Papalopulu 1* [1] School of Medical Sciences, Division of Developmental Biology and Medicine, Faculty of Biology Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK [2] Department of Cellular and Molecular Physiology, Crown Street, University of Liverpool, Liverpool, L69 3BX, UK [3] School of Biological Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK [4] Theoretical Physics Division, School of Physics and Astronomy, University of Manchester, Manchester, M13 9PL, UK [5] Division of Informatics, Imaging and Data Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK * corresponding authors #These authors have contributed equally to this work and are listed alphabetically. Short title: Quantitative and dynamic analysis of neurogenesis bioRxiv preprint doi: https://doi.org/10.1101/373407; this version posted July 20, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.
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