Single-Cell Transcriptomics Reveals a Population of Dormant Neural Stem Cells that Become Activated upon Brain Injury.

By Enric Llorens-Bobadilla, Sheng Zhao, Avni Baser, Gonzalo Saiz-Castro, Klara Zwadlo, A. Martin‐Villalba. Cell Stem Cell, 2015

705 citations recorded by the source corpus.

Subfields: Developmental Neuroscience, Molecular Biology, Neurology

View Paper: https://www.semanticscholar.org/paper/73a423b3af774a7a6be73b7282c6de1ecf20d2cb

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Citations in the corpus

Single-Cell Profiling and SCOPE-Seq Reveal Lineage Dynamics of Adult Ventricular-Subventricular Zone Neurogenesis and NOTUM as a Key Regulator (2020, neutral): “8 Cell Reports 31, 107805, June 23, 2020 translational activation (Llorens-Bobadilla et al., 2015), and circadian clock regulation, as well as their reversibility in the intermediate populations, and to determine the critical size thresholds for NSC activation and cell-cycle exit.”
Revealing the vectors of cellular identity with single-cell genomics (2016, background): “For example, cellular differentiation processes are strongly linked to the cell cycle 101,142,157,158 , yet some of their aspects may not be apparent in a cell’s molecular profile due to the cell cycle’s large effect 104 .”
Adult Neurogenesis in the Hippocampus: From Stem Cells to Behavior. (2016, positive): “Together with two other studies (Hanchate et al., 2015; Llorens-Bobadilla et al., 2015), these approaches demonstrate that single-cell analysis enables the reconstruction of temporal dynamics and molecular events during lineage progression.”
Toward Minimal Residual Disease-Directed Therapy in Melanoma. (2018, neutral): “Consistently, GSEA identified significant similarities between the NCSC signature and quiescent neural stem cell profiles (Codega et al., 2014; Llorens-Bobadilla et al., 2015), as well as with other cancer stem cell profiles (Figures 5A, S5A, and S5B).”
Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning (2016, background): “Quantifying the variation across gene expression profiles of individual cells is key to the identification and analysis of complex cell populations that arise in neurology [2], immunology [3], oncology [4] and developmental biology [5].”
RNA modifications modulate gene expression during development (2018, neutral): “( 39, 42, 43 ).”