Div-Seq: Single-nucleus RNA-Seq reveals dynamics of rare adult newborn neurons
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Author(s)
Habib, Naomi
Li, Yinqing
Heidenreich, Matthias
Swiech, Lukasz
Avraham-Davidi, Inbal
Trombetta, John J.
Hession, Cynthia
Zhang, Feng
Regev, Aviv
Date Issued
December 13, 2017
Journal
Science
Publisher
American Association for the Advancement of Science (AAAS)
Citation
Habib, Naomi et al. "Div-Seq: Single-nucleus RNA-Seq reveals dynamics of rare adult newborn neurons." Science 353, 6302 (August 2016): 925-928 © 2016 American Association for the Advancement of Science
Version
Author's final manuscript
Abstract
Single-cell RNA sequencing (RNA-Seq) provides rich information about cell types and states. However, it is difficult to capture rare dynamic processes, such as adult neurogenesis, because isolation of rare neurons from adult tissue is challenging and markers for each phase are limited. Here, we develop Div-Seq, which combines scalable single-nucleus RNA-Seq (sNuc-Seq) with pulse labeling of proliferating cells by 5-ethynyl-2′-deoxyuridine (EdU) to profile individual dividing cells. sNuc-Seq and Div-Seq can sensitively identify closely related hippocampal cell types and track transcriptional dynamics of newborn neurons within the adult hippocampal neurogenic niche, respectively. We also apply Div-Seq to identify and profile rare newborn neurons in the adult spinal cord, a noncanonical neurogenic region. sNuc-Seq and Div-Seq open the way for unbiased analysis of diverse complex tissues.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
McGovern Institute for Brain Research at MIT
Koch Institute for Integrative Cancer Research at MIT
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DOI of Published Version
https://doi.org/10.1126/SCIENCE.AAD7038
