Normal aging induces A1-like astrocyte reactivity

Proceedings of the National Academy of Sciences of the United States of America

Volumn 115, Issue 8, 2018, Pages E1896-E1905

  Clarke, Laura E ^a   Liddelow, Shane A ^a,b,c   Chakraborty, Chandrani ^a   Münch, Alexandra E ^a   Heiman, Myriam ^d,e,f   Barres, Ben A ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b NEW YORK UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c NEW YORK UNIVERSITY MEDICAL CENTER   (United States)

^d BROAD INSTITUTE OF MIT AND HARVARD   (United States)

^e The Picower Institute for Learning and Memory   (United States)

^f MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Aging; Astrocytes; Cognitive decline; Microglia; RNA sequencing

Indexed keywords

COMPLEMENT COMPONENT C1Q; INTERLEUKIN 1ALPHA; LIPOPOLYSACCHARIDE; TUMOR NECROSIS FACTOR; RNA;

A1 LIKE ASTROCYTE; ADOLESCENT; ADULT; AGED; AGING; ANALYTIC METHOD; ANIMAL CELL; ANIMAL EXPERIMENT; ANIMAL TISSUE; ARTICLE; ASTROCYTE; BAC TRAP METHOD; BRAIN CORTEX; BRAIN INJURY; CELL ACTIVATION; CELL AGING; CELL FUNCTION; CELL KILLING; CELL REACTIVITY; COGNITIVE DEFECT; CONTROLLED STUDY; CORPUS STRIATUM; DOWN REGULATION; FLUORESCENCE IN SITU HYBRIDIZATION; GENE EXPRESSION REGULATION; HIPPOCAMPUS; MICROGLIA; MIDDLE AGED; MOUSE; NERVOUS SYSTEM INFLAMMATION; NONHUMAN; OLIGODENDROGLIA; PHENOTYPE; POLYMERASE CHAIN REACTION; PRIORITY JOURNAL; RNA SEQUENCE; UPREGULATION; YOUNG ADULT; ANIMAL; C57BL MOUSE; COGNITION; CYTOLOGY; FEMALE; GENE EXPRESSION PROFILING; GENETICS; HUMAN; MALE; METABOLISM; NERVE CELL; PSYCHOLOGY;

AGING; ANIMALS; ASTROCYTES; COGNITION; FEMALE; GENE EXPRESSION PROFILING; HIPPOCAMPUS; HUMANS; INTERLEUKIN-1ALPHA; MALE; MICE; MICE, INBRED C57BL; MICROGLIA; NEURONS; RNA; TUMOR NECROSIS FACTOR-ALPHA;

EID: 85042201818     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1800165115     Document Type: Article

References (41)

1. Grabert K, et al. (2016) Microglial brain region-dependent diversity and selective regional sensitivities to aging. Nat Neurosci 19:504–516.
2. Hickman SE, et al. (2013) The microglial sensome revealed by direct RNA sequencing. Nat Neurosci 16:1896–1905.
3. Norden DM, Godbout JP (2013) Review: Microglia of the aged brain: Primed to be activated and resistant to regulation. Neuropathol Appl Neurobiol 39:19–34.
4. Nichols NR, Day JR, Laping NJ, Johnson SA, Finch CE (1993) GFAP mRNA increases with age in rat and human brain. Neurobiol Aging 14:421–429.
5. Porchet R, et al. (2003) Analysis of glial acidic fibrillary protein in the human en-torhinal cortex during aging and in Alzheimer’s disease. Proteomics 3:1476–1485.
6. Zamanian JL, et al. (2012) Genomic analysis of reactive astrogliosis. J Neurosci 32: 6391–6410.
7. Doyle JP, et al. (2008) Application of a translational profiling approach for the comparative analysis of CNS cell types. Cell 135:749–762.
8. Heiman M, Kulicke R, Fenster RJ, Greengard P, Heintz N (2014) Cell type-specific mRNA purification by translating ribosome affinity purification (TRAP). Nat Protoc 9:1282–1291.
9. Dougherty JD, Schmidt EF, Nakajima M, Heintz N (2010) Analytical approaches to RNA profiling data for the identification of genes enriched in specific cells. Nucleic Acids Res 38:4218–4230.
10. Zhang Y, et al. (2014) An RNA-sequencing transcriptome and splicing database of glia, neurons, and vascular cells of the cerebral cortex. J Neurosci 34:11929–11947.
11. Herrmann JE, et al. (2008) STAT3 is a critical regulator of astrogliosis and scar formation after spinal cord injury. J Neurosci 28:7231–7243.
12. Anderson MA, et al. (2016) Astrocyte scar formation aids central nervous system axon regeneration. Nature 532:195–200.
13. Saxena S, Caroni P (2011) Selective neuronal vulnerability in neurodegenerative diseases: From stressor thresholds to degeneration. Neuron 71:35–48.
14. Mattson MP, Magnus T (2006) Ageing and neuronal vulnerability. Nat Rev Neurosci 7: 278–294.
15. Singh SK, et al. (2016) Astrocytes assemble thalamocortical synapses by bridging NRX1α and NL1 via Hevin. Cell 164:183–196.
16. Stephan AH, et al. (2013) A dramatic increase of C1q protein in the CNS during normal aging. J Neurosci 33:13460–13474.
17. Burke SN, Barnes CA (2006) Neural plasticity in the ageing brain. Nat Rev Neurosci 7: 30–40.
18. Leinonen V, et al. (2010) Amyloid and tau proteins in cortical brain biopsy and Alzheimer’s disease. Ann Neurol 68:446–453.
19. Bang J, Spina S, Miller BL (2015) Frontotemporal dementia. Lancet 386:1672–1682.
20. Molofsky AV, et al. (2014) Astrocyte-encoded positional cues maintain sensorimotor circuit integrity. Nature 509:189–194.
21. Chai H, et al. (2017) Neural circuit-specialized astrocytes: Transcriptomic, proteomic, morphological, and functional evidence. Neuron 95:531–549.e9.
22. Morel L, et al. (2017) Molecular and functional properties of regional astrocytes in the adult brain. J Neurosci 37:8706–8717.
23. Godbout JP, et al. (2005) Exaggerated neuroinflammation and sickness behavior in aged mice following activation of the peripheral innate immune system. FASEB J 19: 1329–1331.
24. Henry CJ, et al. (2008) Minocycline attenuates lipopolysaccharide (LPS)-induced neuroinflammation, sickness behavior, and anhedonia. J Neuroinflammation 5:15.
25. Klein RS, et al. (2005) Neuronal CXCL10 directs CD8+ T-cell recruitment and control of West Nile virus encephalitis. J Virol 79:11457–11466.
26. Hennessy E, Griffin EW, Cunningham C (2015) Astrocytes are primed by chronic neurodegeneration to produce exaggerated chemokine and cell infiltration responses to acute stimulation with the cytokines IL-1β and TNF-α. J Neurosci 35: 8411–8422.
27. Shi Q, et al. (2015) Complement C3-deficient mice fail to display age-related hippocampal decline. J Neurosci 35:13029–13042.
28. Mosher KI, Wyss-Coray T (2014) Microglial dysfunction in brain aging and Alzheimer’s disease. Biochem Pharmacol 88:594–604.
29. Sierra A, Gottfried-Blackmore AC, McEwen BS, Bulloch K (2007) Microglia derived from aging mice exhibit an altered inflammatory profile. Glia 55:412–424.
30. Safaiyan S, et al. (2016) Age-related myelin degradation burdens the clearance function of microglia during aging. Nat Neurosci 19:995–998.
31. Yu L, et al. (2015) The TMEM106B locus and TDP-43 pathology in older persons without FTLD. Neurology 84:927–934.
32. Stevens B, et al. (2007) The classical complement cascade mediates CNS synapse elimination. Cell 131:1164–1178.
33. Schafer DP, et al. (2012) Microglia sculpt postnatal neural circuits in an activity and complement-dependent manner. Neuron 74:691–705.
34. Bialas AR, Stevens B (2013) TGF-β signaling regulates neuronal C1q expression and developmental synaptic refinement. Nat Neurosci 16:1773–1782.
35. Ritzel RM, et al. (2016) Age-associated resident memory CD8 T cells in the central nervous system are primed to potentiate inflammation after ischemic brain injury. J Immunol 196:3318–3330.
36. Kim D, et al. (2013) TopHat2: Accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biol 14:R36.
37. Robinson MD, McCarthy DJ, Smyth GK (2010) edgeR: A bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26: 139–140.
38. Liao Y, Smyth GK, Shi W (2014) FeatureCounts: An efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics 30:923–930.
39. Liao Y, Smyth GK, Shi W (2013) The subread aligner: Fast, accurate and scalable read mapping by seed-and-vote. Nucleic Acids Res 41:e108.
40. Bardou P, Mariette J, Escudié F, Djemiel C, Klopp C (2014) jvenn: An interactive Venn diagram viewer. BMC Bioinformatics 15:293.
41. Suzuki R, Shimodaira H (2014) pvclust: Hierarchial clustering with P-values via multiscale bootstrap resampling. Available at cran.r-project.org/web/packages/ pvclust/index.html. Accessed October 4, 2017.