Single-cell transcriptomics reveals gene signatures and alterations associated with aging in distinct neural stem/progenitor cell subpopulations
Zhanping Shi1, Yanan Geng1, Jiping Liu1, Huina Zhang1, Liqiang Zhou1, Quan Lin1,2, Juehua Yu1, Kunshan Zhang1, Jie Liu1, Xinpei Gao1, Chunxue Zhang1, Yinan Yao1, Chong Zhang1, Yi E. Sun1,2,3()
1. Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, China 2. Department of Psychiatry and Biobehavioral Sciences and Intellectual Development and Disabilities Research Center, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA 3. Collaborative Innovation Center for Brain Science, Tongji University, Shanghai 200092, China
Aging associated cognitive decline has been linked to dampened neural stem/progenitor cells (NSC/NPCs) activities manifested by decreased proliferation, reduced propensity to produce neurons, and increased differentiation into astrocytes. While gene transcription changes objectively reveal molecular alterations of cells undergoing various biological processes, the search for molecular mechanisms underlying aging of NSC/NPCs has been confronted by the enormous heterogeneity in cellular compositions of the brain and the complex cellular microenvironment where NSC/NPCs reside. Moreover, brain NSC/NPCs themselves are not a homogenous population, making it even more difficult to uncover NSC/NPC sub-type specific aging mechanisms. Here, using both population-based and single cell transcriptome analyses of young and aged mouse forebrain ependymal and subependymal regions and comprehensive “big-data” processing, we report that NSC/NPCs reside in a rather inflammatory environment in aged brain, which likely contributes to the differentiation bias towards astrocytes versus neurons. Moreover, single cell transcriptome analyses revealed that different aged NSC/NPC subpopulations, while all have reduced cell proliferation, use different gene transcription programs to regulate age-dependent decline in cell cycle. Interestingly, changes in cell proliferation capacity are not influenced by inflammatory cytokines, but likely result from cell intrinsic mechanisms. The Erk/Mapk pathway appears to be critically involved in regulating age-dependent changes in the capacity for NSC/NPCs to undergo clonal expansion. Together this study is the first example of using population and single cell based transcriptome analyses to unveil the molecular interplay between different NSC/NPCs and their microenvironment in the context of the aging brain.
Beckervordersandforth Ret al. (2010) In vivo fate mapping and expression analysis reveals molecular hallmarks of prospectively isolated adult neural stem cells. Cell Stem Cell 7:744–758 https://doi.org/10.1016/j.stem.2010.11.017
2
Bonni Aet al. (1997) Regulation of gliogenesis in the central nervous system by the JAK-STAT signaling pathway. Science 278:477–483 https://doi.org/10.1126/science.278.5337.477
3
Coskun Vet al. (2008) CD133+ neural stem cells in the ependyma of mammalian postnatal forebrain. PNAS 105(3):1026–1031 https://doi.org/10.1073/pnas.0710000105
Duan Het al. (2015) Transcriptome analyses reveal molecular mechanisms underlying functional recovery after spinal cord injury. PNAS 112(43):13360–13365 https://doi.org/10.1073/pnas.1510176112
6
Dulken BWet al. (2017) Single-cell transcriptomic analysis defines heterogeneity and transcriptional dynamics in the adult neural stem cell lineage. Cell Rep 18:777–790 https://doi.org/10.1016/j.celrep.2016.12.060
7
Enwere Eet al. (2004) Aging results in reduced epidermal growth factor receptor signaling, diminished olfactory neurogenesis, and deficits in fine olfactory discrimination. J Neurosci 24:8354–8365 https://doi.org/10.1523/JNEUROSCI.2751-04.2004
8
Kim Det al. (2015) HISAT: a fast spliced aligner with low memory requirements. Nat Methods 12:357–360 https://doi.org/10.1038/nmeth.3317
9
Kim DHet al. (2015) Single-cell transcriptome analysis reveals dynamic changes in lncRNA expression during reprogramming. Cell Stem Cell 16:88–101 https://doi.org/10.1016/j.stem.2014.11.005
10
Laurens VDM, Hinton G (2008) Visualizing data using t-SNE. J Mach Learn Res 9(2605):2579–2605
11
Llorens-Bobadilla Eet al. (2015) Single-cell transcriptomics reveals a population of dormant neural stem cells that become activated upon brain injury. Cell Stem Cell 17:329–340 https://doi.org/10.1016/j.stem.2015.07.002
Luo Yet al. (2015) Single-cell transcriptome analyses reveal signals to activate dormant neural stem cells. Cell 161:1175–1186 https://doi.org/10.1016/j.cell.2015.04.001
14
Maslov AYet al. (2004) Neural stem cell detection, characterization, and age-related changes in the subventricular zone of mice. J Neurosci 24:1726–1733 https://doi.org/10.1523/JNEUROSCI.4608-03.2004
Morrison SJ, Spradling AC (2008) Stem cells and niches: mechanisms that promote stem cell maintenance throughout life. Cell 132:598–611 https://doi.org/10.1016/j.cell.2008.01.038
17
Nolan DJet al. (2013) Molecular signatures of tissue-specific microvascular endothelial cell heterogeneity in organ maintenance and regeneration. Dev Cell 26:204–219 https://doi.org/10.1016/j.devcel.2013.06.017
18
Pertea Met al. (2015) StringTie enables improved reconstruction of a transcriptome from RNA-seq reads. Nat Biotechnol 3:290–295 https://doi.org/10.1038/nbt.3122
19
Picelli Set al. (2013) Smart-seq2 for sensitive full-length transcriptome profiling in single cells. Nat Methods 10:1096–1098 https://doi.org/10.1038/nmeth.2639
Satoh Yet al.(2011) Deletion of ERK1 and ERK2 in the CNS causes cortical abnormalities and neonatal lethality: Erk1 deficiency enhances the impairment of neurogenesis in Erk2-deficient mice. J Neurosci 31:1149–1155 https://doi.org/10.1523/JNEUROSCI.2243-10.2011
22
Shalek AKet al. (2013) Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells. Nature 498:236–240 https://doi.org/10.1038/nature12172
23
Shapiro E, Biezuner T, Linnarsson S (2013) Single-cell sequencingbased technologies will revolutionize whole-organism science. Nat Rev Genet 14:618–630 https://doi.org/10.1038/nrg3542
Vithayathil Jet al. (2015) Dentate gyrus development requires ERK activity to maintain progenitor population and MAPK pathway feedback regulation. J Neurosci 35:6836–6848 https://doi.org/10.1523/JNEUROSCI.4196-14.2015
26
Yanget al. (2015) NT3-chitosan elicits robust endogenous neurogenesis to enable functional recovery after spinal cord injury. PNAS 112(43):13354–13359 https://doi.org/10.1073/pnas.1510194112
27
Zhang Ket al. (2014) Identification and functional analysis of long noncoding RNAs in mouse cleavage stage embryonic development based on single cell transcriptome data. BMC Genom 15:845 https://doi.org/10.1186/1471-2164-15-845