| Literature DB >> 27471252 |
Naomi Habib1, Yinqing Li2, Matthias Heidenreich1, Lukasz Swiech1, Inbal Avraham-Davidi3, John J Trombetta3, Cynthia Hession3, Feng Zhang4, Aviv Regev5.
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.Entities:
Mesh:
Substances:
Year: 2016 PMID: 27471252 PMCID: PMC5480621 DOI: 10.1126/science.aad7038
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728