Skip to main content

Umbrella menu

  • SfN.org
  • eNeuro
  • The Journal of Neuroscience
  • Neuronline
  • BrainFacts.org

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Latest Articles
    • Issue Archive
    • Editorials
    • Research Highlights
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • EDITORIAL BOARD
  • BLOG
  • ABOUT
    • Overview
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SfN.org
  • eNeuro
  • The Journal of Neuroscience
  • Neuronline
  • BrainFacts.org

User menu

  • My alerts

Search

  • Advanced search
eNeuro
  • My alerts

eNeuro

Advanced Search

Submit a Manuscript
  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Latest Articles
    • Issue Archive
    • Editorials
    • Research Highlights
  • TOPICS
    • Cognition and Behavior
    • Development
    • Disorders of the Nervous System
    • History, Teaching and Public Awareness
    • Integrative Systems
    • Neuronal Excitability
    • Novel Tools and Methods
    • Sensory and Motor Systems
  • ALERTS
  • FOR AUTHORS
  • EDITORIAL BOARD
  • BLOG
  • ABOUT
    • Overview
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
PreviousNext
Research ArticleResearch Article: New Research, Disorders of the Nervous System

Deficiency of Microglial Autophagy Increases the Density of Oligodendrocytes and Susceptibility to Severe Forms of Seizures

Mahabub Maraj Alam, Xiao-Feng Zhao, Yuan Liao, Ramkumar Mathur, Sarah E. McCallum, Joseph E. Mazurkiewicz, Matthew A. Adamo, Paul Feustel, Sophie Belin, Yannick Poitelon, Xinjun Cindy Zhu and Yunfei Huang
eNeuro 20 January 2021, 8 (1) ENEURO.0183-20.2021; DOI: https://doi.org/10.1523/ENEURO.0183-20.2021
Mahabub Maraj Alam
1Department of Neuroscience and Experimental Therapeutics, Albany Medical College, Albany, NY 12208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xiao-Feng Zhao
1Department of Neuroscience and Experimental Therapeutics, Albany Medical College, Albany, NY 12208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yuan Liao
2Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ramkumar Mathur
2Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sarah E. McCallum
1Department of Neuroscience and Experimental Therapeutics, Albany Medical College, Albany, NY 12208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joseph E. Mazurkiewicz
1Department of Neuroscience and Experimental Therapeutics, Albany Medical College, Albany, NY 12208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Matthew A. Adamo
3Department of Neurosurgery, Albany Medical College, Albany, NY 12208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Paul Feustel
1Department of Neuroscience and Experimental Therapeutics, Albany Medical College, Albany, NY 12208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sophie Belin
1Department of Neuroscience and Experimental Therapeutics, Albany Medical College, Albany, NY 12208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yannick Poitelon
1Department of Neuroscience and Experimental Therapeutics, Albany Medical College, Albany, NY 12208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Yannick Poitelon
Xinjun Cindy Zhu
2Department of Molecular and Cellular Physiology, Albany Medical College, Albany, NY 12208
4Department of Medicine, Albany Medical College, Albany, NY 12208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yunfei Huang
1Department of Neuroscience and Experimental Therapeutics, Albany Medical College, Albany, NY 12208
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Yunfei Huang
  • Article
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Figure 1.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 1.

    Impact of deletion of ATG7 in microglia on seizure susceptibility. A, Western blot analysis of p62 in ATG7KO mice and their littermate controls. B, Quantification of p62 protein levels in ATG7KO mice and their littermate controls; n = 6 (3 M, 3 F). The unpaired mean difference (hereafter referred to as UMD) between control and ATG7KO is 1.02e+02 (95.0%CI 85.1, 1.21e+02). The p value of the two-sided permutation t test (hereafter referred to as pt) is 0.0008. C, Quantification of latency to fall in the rotarod test in 21 littermate control (11 M, 10 F) and 23 ATG7KO mice (10 M, 13 F). Two-way ANOVA with repeated measures; group effect: F(4,110) = 63.46, p < 0.0001; time effect: F(4,110) = 294.1, p < 0.0001; interaction: F(4,110) = 3.104, p = 0.0184 (CI = 95%). D, Quantification of total distance traveled in the OFT in 21 littermate control (11 M, 10 F) and 23 ATG7KO mice (10 M, 13 F). UMD: −2.48 (95.0%CI −4.05, −0.791); pt = 0.0068. E, Pilocarpine doses to induce SE in in 23 control (10 M, 13 F) and 22 ATG7KO (12 M, 10 F) mice. UMD: −1.48e+02 (95.0%CI −1.82e+02, −1.15e+02); pt = 0.0. F, Percentage of control and ATG7KO mice surviving SE induced by pilocarpine in 23 control (10 M, 13 F) and 22 ATG7KO (12 M, 10 F) mice. Log-rank (Mantel–Cox) test: p < 0.0001. G, Percentage of control and ATG7KO mice surviving SE induced by kainic acid (0.5 μl of 20 and 50 μm) injected into the dorsal dentate gyrus of the hippocampus; n = 6 (3 M, 3 F). Log-rank (Mantel–Cox) test: p = 0.0009 between control+KA 20 mm and ATG7KO+KA 20 mm; p = 0.0009 between control+KA 50 mm and ATG7KO+KA 50 mm. H, After-discharge threshold in control and ATG7KO mice subjected to kindling. UMD: −43.7 [95.0%CI −55.2, −32.8]; pt: 0.0. I, Representative epidural recordings of electrical activities in ipsilateral and contralateral sides. J, Numbers of stimulations needed to elicit contralateral activities in control and ATG7KO mice. Two-way ANOVA; group effect: F(30,30) = 7.336, p < 0.0001; number of stimulation effect: F(1,30) = 14.43, p = 0.0007. K, Representative EEG traces of animals that developed generalized seizures because of kindling. L, Numbers of stimulations needed to trigger generalized seizures in control and ATG7KO mice. Two-way ANOVA; group effect: F(30,30) = 5.3, p < 0.0001; number of stimulation effect: F(1,30) = 26.28, p < 0.0001. M, Average seizure duration in control and ATG7KO mice. UMD: 9.55 (95.0%CI −1.34, 19.0); pt = 0.0506.

  • Figure 2.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 2.

    The impact of ATG7 deletion on microglia. A, Full-montage images of Iba1+ cells in the cortical and hippocampal areas in control and ATG7KO mice. Scale bar: 200 μm. Green: anti-Iba1; blue: DAPI. B, Confocal images (25×) of microglia from the cortical (CTX) and hippocampal CA1, CA3, and DG regions of control and ATG7KO mice. Scale bar: 20 μm. Green: anti-Iba1; red: anti-CD68; blue: DAPI. C, Quantification of Iba1+ cells per 105 μm2 (n = 6; 3 M, 3 F). CTX: UMD: 0.789 (95.0%CI −3.81, 6.49); pt = 0.788. CA1: UMD: 1.35 (95.0%CI −3.65, 6.21); pt = 0.62. CA3: UMD: 0.617 (95.0%CI −2.59, 4.02); pt = 0.747. DG: UMD: 0.717 (95.0%CI −3.22, 6.28); pt = 0.797. D, Quantification of CD68+/Iba1+ cells per 105 μm2 (n = 6; 3 M, 3 F). CTX: UMD: 0.0233 (95.0%CI −0.0283, 0.0833); pt = 0.448. CA1: −0.009 (95.0%CI −0.0665, 0.0503); pt = 0.786. CA3: UMD: 0.0065 (95.0%CI −0.0418, 0.057); pt = 0.806. DG: UMD: −0.0133 (95.0%CI −0.0717, 0.04); pt = 0.68.

  • Figure 3.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 3.

    The impact of ATG7 deletion on microglial cytokines and phagocytosis. A, Cytokine expression in cortical tissue samples from control and ATG7KO mice (n = 6; 3M, 3F). IFNa: UMD: −0.292 [95.0%CI −0.684, 0.249]; pt: 0.301. IFNb: UMD: −0.0762 [95.0%CI −0.329, 0.118]; pt: 0.527. IFNg: UMD: is −0.0877 [95.0%CI −0.486, 0.165]; pt: 0.561. IL6: UMS: 0.0582 [95.0%CI −0.241, 0.392]; pt: 0.753. IL1b: UMD: 0.0473 [95.0%CI −0.568, 0.949]; pt: 0.835. TNFa: UMD: 0.0262 [95.0%CI −0.233, 0.28]; pt: 0.864. iNOS: UMD: −0.0356 [95.0%CI −0.35, 0.404]; pt: 0.834. B, Cytokine expression in hippocampal tissue samples from control and ATG7KO mice (n = 6; 3M, 3F). IFNa: UMD: 1.31 [95.0%CI 0.47, 1.99]; pt: 0.0154. IFNb: UMD: 0.525 [95.0%CI 0.153, 0.918]; pt: 0.0486. IFNg: UMD: 0.938 [95.0%CI 0.322, 1.56]; pt: 0.0148. IL6: UMS: 0.0553 [95.0%CI −0.0599, 0.174]; pt: 0.51. IL1b: UMD: 0.746 [95.0%CI 0.232, 1.7]; pt: 0.0142. TNFa: UMD: 2.01 [95.0%CI 0.878, 2.66]; pt: 0.0108. iNOS: UMD: 0.256 [95.0%CI 0.0246, 0.56]; pt: 0.118. C, Cytokine expression in purified microglial samples of control and ATG7KO mice (n = 6; 3M, 3F). IFNa: UMD: 1.13 [95.0%CI 0.828, 1.45]; pt: 0.0. IFNb: UMD: 1.16 [95.0%CI 0.697, 1.62]; pt: 0.0. IFNg: UMD: 0.973 [95.0%CI 0.703, 1.36]; pt: 0.0. IL6: UMS: −0.192 [95.0%CI −0.419, 0.0818]; pt: 0.164. IL1b: UMD: 0.541 [95.0%CI 0.334, 0.891]; pt: 0.0. TNFa: UMD: 0.683 [95.0%CI 0.211, 0.977]; pt: 0.0138. iNOS: UMD: 0.724 [95.0%CI 0.366, 1.16]; pt: 0.0002. D, Representative time series images (63×) showing in vitro uptake of pHrodo zymosan bioparticles (green) in microglia prepared from control and ATG7KO mice; Scale bar – 25 μm. E, Representative time-course showing the number of bioparticles taken up. F, Average particles per microglial cell at the 30- and 60-min time points (n = 4); 30 min: UMD: 0.25 [95.0%CI −0.75, 1.0]; pt: 0.365. 60 min: UMD: −0.5 [95.0%CI −1.5, 0.0]; pt: 0.112.

  • Figure 4.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 4.

    Impact of microglial ATG7 deletion on astrocytes and neurons. A, Full-montage images of GFAP expression in the cortical and hippocampal areas from littermate control and ATG7KO mice. Green: GFAP; Blue: DAPI. Scale bar – 200 μm. B, Full-scale images of NeuN expression in the cortical and hippocampal areas of littermate control and ATG7KO mice. Green: NeuN; Blue: DAPI. Scale bar – 200 μm. C, Confocal images (25×) of astrocytes from the cortical (CTX) and hippocampal CA1, CA3 and DG regions of littermate control and ATG7KO mice. Green: GFAP; Blue: DAPI. Scale bar – 20 μm. D, Confocal images of neurons from the cortical (CTX) and hippocampal CA1, CA3 and DG regions of littermate control and ATG7KO mice. Scale bar – 20 μm. E, Quantification of GFAP+ cells per 105 μm2. n = 6 (3 M, 3 F). CTX: UMD: −0.02 [95.0%CI −0.253, 0.26]; pt: 0.881. CA1: UMD: 0.3 [95.0%CI −3.35, 3.57]; pt: 0.886. CA3: UMD: −0.7 [95.0%CI −2.7, 1.43]; pt: 0.549. DG: UMD: −0.283 [95.0%CI −3.45, 2.9]; pt: 0.862. F, Quantification of NeuN+ cells per 105 μm2. n = 6 (3 M, 3 F). CTX: UMD: −36.0 [95.0%CI −1.91e+02, 1.44e+02]; pt: 0.708. CA1: UMD: 5.83 [95.0%CI −1.25e+02, 1.24e+02]; pt: 0.925. CA3: UMD: −61.7 [95.0%CI −2.12e+02, 75.5]; pt: 0.466. DG: UMD: 17.2 [95.0%CI −1.77e+02, 1.64e+02]; pt: 0.846.

  • Figure 5.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 5.

    Impact of microglial ATG7 deletion on expression of myelination markers. A, Representative images (20×) of corpus callosum (CC), cingulate cortex (CX) and striatum (ST) from littermate control and ATG7KO mice stained with MBP, MOG and PLP antibodies. B, Quantification of MBP, MOG and PLP expression in control and ATG7KO mice; n = 6 (3 M, 3 F). MBP: Corpus callosum (CC): UMD: 40.6 [95.0%CI 29.5, 48.8]; pt: 0.0016. Cortex (CTX): UMD: 52.9 [95.0%CI 40.7, 68.0]; pt: 0.0. Striatum (ST): UMD: 43.5 [95.0%CI 33.5, 50.5]; pt: 0.0. MOG: Corpus callosum (CC): UMD: 34.2 [95.0%CI 23.0, 46.4]; pt: 0.0002. Cortex (CTX): UMD: 41.3 [95.0%CI 30.3, 56.5]; pt: 0.0. Striatum (ST): UMD: 26.6 [95.0%CI 18.8, 33.2]; pt: 0.0. PLP: Corpus callosum (CC): UMD: 46.2 [95.0%CI 36.9, 53.6]; pt: 0.0. Cortex (CTX): UMD: 40.5 [95.0%CI 28.6, 52.4]; pt: 0.0006. Striatum (ST): UMD: 27.9 [95.0%CI 22.5, 34.3]; pt: 0.0004. C, Western blot analysis of MBP, MOG and PLP protein levels from whole brain and corpus callosum lysates; n = 6 (3 M, 3 F). D, Quantification of MBP, MOG and PLP protein levels from whole brain. MBP: UMD: 44.3 [95.0%CI 35.5, 56.9]; pt: 0.0004. MOG: UMD: 40.3 [95.0%CI 33.4, 48.8]; pt: 0.0002. PLP: UMD: 50.8 [95.0%CI 43.2, 57.3]; pt: 0.0006. E, Quantification of MBP, MOG and PLP protein levels from isolated corpus callosum lysates. MBP: UMD: 54.0 [95.0%CI 47.7, 62.7]; pt: 0.0. MOG: UMD: 42.2 [95.0%CI 34.3, 50.1]; pt: 0.0. PLP: UMD: 48.6 [95.0%CI 41.5, 55.2]; pt: 0.0.

  • Figure 6.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 6.

    Impact of microglial ATG7 deletion on oligodendrocytes. A–C, Representative confocal images (25×) of corpus callosum (CC) (A), cingulate cortex (CTX) (B) and striatum (ST) (C) from littermate control and ATG7KO mice stained with an oligodendrocyte marker (Olig2; green) and a marker of mature oligodendrocytes (CC-1; red). Scale bar – 20 μm, 5 μm. D–F, Quantification of Olig2+ cells, CC1+ cells and Olig2+/CC1+ cells per 0.5 mm2; n = 6 (3 M, 3 F). Oligo2+ cells (D): Corpus callosum (CC): UMD: 5.38e+02 [95.0%CI 4.13e+02, 6.58e+02]; pt: 0.0. Cortex (CTX): UMD: 3.14e+02 [95.0%CI 2.14e+02, 4.3e+02]; pt: 0.0. Striatum (ST): UMD: 1.78e+02 [95.0%CI 1.27e+02, 2.36e+02]; pt: 0.0. CC1+ cells (E): Corpus callosum (CC): UMD: 2.74e+02 [95.0%CI 1.32e+02, 3.87e+02]; pt: 0.0046. Cortex (CTX): UMD: 1.68e+02 [95.0%CI 88.7, 2.36e+02]; pt: 0.0024. Striatum (ST): UMD: 1.43e+02 [95.0%CI 1.01e+02, 1.79e+02]; pt: 0.0. Olig2+/CC1+ cells (F): Corpus callosum (CC): UMD: 4.49 [95.0%CI −2.21, 10.9]; pt: 0.245. Cortex (CTX): UMD: −2.26 [95.0%CI −5.52, 1.15]; pt: 0.254. Striatum (ST): UMD: 1.39 [95.0%CI −4.52, 6.48]; pt: 0.636. G, Western blot analysis of Olig2 protein levels in whole brain and isolated corpus callosum lysates. H, Quantification of Olig2 protein levels in whole brain and isolated corpus callosum lysates n = 6 (3 m and 3 f). Whole brain: Oligo2: UMD: 40.7 [95.0%CI 36.9, 45.1]; pt: 0.0. Corpus callosum (CC): Oligo2: UMD: 59.5 [95.0%CI 54.1, 68.5]; pt: 0.0.

  • Figure 7.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 7.

    Microglial deletion of ATG7 changes the size of the nodes of Ranvier. A, Representative confocal images (63×) of IHC staining for sodium channel Nav1.6 (red) and CASPR (green) in the corpus callosum (CC) and cortex (CTX) areas of littermate control and ATG7KO mice. Scale bar – 20 μm. B, C, Quantification of the average size of nodes in the CC (B) and CTX (C) in littermate control and ATG7KO mice. Data points were acquired from 6 pairs of animals (3 M, 3 F). Corpus callosum (CC): UMD: 0.188 [95.0%CI 0.148, 0.231]; pt: 0.0. Cingulate cortex (CTX): UMD: 0.141 [95.0%CI 0.0685, 0.211]; pt: 0.0. D, E, Distribution of the length of nodes in the corpus callosum (D) and cingulate cortex (E) of littermate control and ATG7KO mice.

Tables

  • Figures
    • View popup
    Table 3

    Primers for qPCR

    GeneSense (5'−3')Anti-sense (3'−5')Species
    TNF-αATGGCCTCCCTCTCATCAGTGTTTGCTACGACGTGGGCTAMouse
    IL-1βCGCAGCAGCACATCAACAAGGTGCTCATGTCCTCATCCTGMouse
    IL6ACCAGAGGAAATTTTCAATAGGCTGATGCACTTGCAGAAAACAMouse
    IFN-αGGACTTTGGATTCCCGCAGGAGAAGGCTGCATCAGACAGCCTTGCAGGTCMouse
    IFN-βTCCGAGCAGAGATCTTCAGGAATGCAACCACCACTCATTCTGAGMouse
    IFN-γGCTCTGAGACAATGAACGCTAAAGAGATAATCTGGCTCTGCMouse
    iNOSTGGAGCGAGTTGTGGATTGTCCCAGTAGCTGCCGCTCTCATMouse
    GAPDHGACAACTTTGGCATTGTGGATGCAGGGATGATGTTCTGMouse
    • View popup
    Table 4

    Primers for genotyping

    GeneSense (5'−3')Anti-sense (3'−5')Species
    Cx3cr1 Cre+/−TTGCCTGCATTACCGGTCGATGATCCTGGCAATTTCGGCTATMouse
    ATG7 flox - 373 bpACAGTGCACATCCTGTTCCACCAAAGGAAACCAAGGGAGTMouse
    ATG7 flox - 243 bpGGACTTGTGCCTCACCAGATCTCGTCACTCATGTCCCAGAMouse
    TSC1 flowGTCACGACCGTAGGAGAAGCGAATCAACCCCACAGAGCATMouse
    • View popup
    Table 1

    Antibodies

    ProductVendorCatalogDilutionRRID
    Anti-MOGMilliporeMAB5680IHC: 1:200
    WB: 1:1000
    AB_1587278
    Anti-MBPBioLegend808401IHC: 1:1000
    WB: 1:1000
    AB_2564741
    Anti-CC-1CalBioChemOP80-100UGIHC: 1:300AB_2057371
    Anti-Olig2MilliporeAB9610IHC: 1:200
    WB: 1:2000
    AB_570666
    Anti-PLPAbcamAb28486IHC: 1:500
    WB: 1:1000
    AB_776593
    Anti-p62Cell Signaling23214SIHC: 1:400
    WB: 1:1000
    AB_2798858
    Anti-NeuNCell SignalingD4G4OIHC: 1:1000AB_2651140
    Anti-Iba1Wako019-19741IHC: 1:400AB_839504
    Anti-CD68Bio-Rad/AbD SerotecMCA1957IHC: 1:400AB_322219
    Anti-GFAPMilliporeAB5541IHC: 1:300AB_177521
    Anti-GAPDHCell Signaling5174SWB: 1:1000AB_10622025
    Anti-mouse CD16/32BioLegend101302Microglia purification: 1:50AB_312801
    PE anti-mouse CX3CR1BioLegend149006Microglia purification: 1:50AB_2564315
    Anti-CASPRNeuromabClone K65/35,
    73-001
    IHC: 1:200AB_10671175
    Anti-NaV1.6Alomone LabsASC-001IHC: 1:500AB_2040003
    Anti-mouse IgG, HRP conjugatedCell Signaling7076SWB: 1:3000AB_330924
    Anti-rabbit IgG, HRP conjugatedCell Signaling7074SWB: 1:3000AB_2099233
    Goat anti-Rabbit IgG (H + L) secondary antibody
    Alexa Fluor 488 conjugate
    ThermoFisherA-11034IHC: 1:400AB_257621
    Goat anti-rabbit IgG (H + L) highly cross-adsorbed
    secondary antibody, Alexa Fluor 568
    ThermoFisherA-11036IHC: 1:400AB_10563566
    Goat anti-mouse IgG (H + L) highly cross-adsorbed
    secondary antibody, Alexa Fluor 488
    ThermoFisherA-11001IHC: 1:400AB_2534069
    Goat anti-mouse IgG (H + L) highly cross-adsorbed
    secondary antibody, Alexa Fluor 568
    ThermoFisherA-11031IHC: 1:400AB_144696
    Goat anti-rat IgG (H + L) cross-adsorbed secondary
    antibody, Alexa Fluor 555
    ThermoFisherA-21434IHC: 1:400AB_2535855
    Goat anti-chicken IgY (H + L) cross-adsorbed
    secondary antibody, Alexa Fluor 488
    ThermoFisherA-11039IHC: 1:400AB_142924
    Goat anti-guinea pig IgG (H + L) cross-adsorbed
    secondary antibody, Alexa Fluor 568
    ThermoFisherA-11075IHC: 1:400AB_141954
    • View popup
    Table 2

    Reagents and other materials

    ProductVendorCatalog no.RRID
    Neg-50ThermoScientific6502
    Fluoromount GSouthernBiotech0100-01
    DAPISigma-AldrichD9542-1MG
    DMEMCorning10013-CV
    Phenol red-free DMEMLife technologies31053-028
    DMEM/F12Gibco11039-021
    Mouse M-CSFShenandoah200-08
    PercollGE Healthcare17-0891-01
    PapainSigmaP3125
    Dispase IIStemcell07913
    DNase ISigmaD4263
    Bovine serum albuminSigmaA7030
    Fetal bovine aerumAtlanta BiologicalalalsS11150H
    Penicillin/streptomycinCellgro30-008-CI
    Poly-D-lysineSigmaP6407-5MG
    PowerUP SYBR Green Master MixThermoFisherA25777
    TRIzolLife Technologies15596018
    Verso cDNA synthesis kitThermoFisherAB1453B
    Pierce BCA Protein Assay kitThermoScientific23225
    Chemiluminescent SubstrateThermoScientific34580
    pHrodo Green Zymosan Bioparticles Conjugate for PhagocytosisThermoFisherP35365
    Falcon 40 μm Cell StrainerCorning352340
    Preseparation Filters (30 μm)Miltenyi130-041-407
    MS ColumnsMiltenyi130-042-201
    PilocarpineSigmaP6503
    • View popup
    Table 5

    Software

    ProductDeveloperWebpage
    ImageJNIHhttps://imagej.nih.gov/ij/
    GraphPad Prism 7.0GraphPad Softwarehttps://graphpad.com
    ZEN BlackZeisshttps://zeiss.com
    ZEN BlueZeisshttps://zeiss.com
    Sirenia AcquisitionPinnacle Technologies, Inc.https://www.pinnaclet.com/sirenia.html
    NeurolucidaMBF Biosciencehttps://mbfbioscience.com
    ImarisBitplanehttps://imaris.oxinst.com/
Back to top

In this issue

eneuro: 8 (1)
eNeuro
Vol. 8, Issue 1
January/February 2021
  • Table of Contents
  • Index by author
Email

Thank you for sharing this eNeuro article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Deficiency of Microglial Autophagy Increases the Density of Oligodendrocytes and Susceptibility to Severe Forms of Seizures
(Your Name) has forwarded a page to you from eNeuro
(Your Name) thought you would be interested in this article in eNeuro.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
View Full Page PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Citation Tools
Deficiency of Microglial Autophagy Increases the Density of Oligodendrocytes and Susceptibility to Severe Forms of Seizures
Mahabub Maraj Alam, Xiao-Feng Zhao, Yuan Liao, Ramkumar Mathur, Sarah E. McCallum, Joseph E. Mazurkiewicz, Matthew A. Adamo, Paul Feustel, Sophie Belin, Yannick Poitelon, Xinjun Cindy Zhu, Yunfei Huang
eNeuro 20 January 2021, 8 (1) ENEURO.0183-20.2021; DOI: 10.1523/ENEURO.0183-20.2021

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Respond to this article
Share
Deficiency of Microglial Autophagy Increases the Density of Oligodendrocytes and Susceptibility to Severe Forms of Seizures
Mahabub Maraj Alam, Xiao-Feng Zhao, Yuan Liao, Ramkumar Mathur, Sarah E. McCallum, Joseph E. Mazurkiewicz, Matthew A. Adamo, Paul Feustel, Sophie Belin, Yannick Poitelon, Xinjun Cindy Zhu, Yunfei Huang
eNeuro 20 January 2021, 8 (1) ENEURO.0183-20.2021; DOI: 10.1523/ENEURO.0183-20.2021
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Significance Statement
    • Introduction
    • Material and Methods
    • Results
    • Discussion
    • Footnotes
    • References
    • Synthesis
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • autophagy
  • epilepsy
  • microglia
  • mTOR
  • myelination
  • seizure

Responses to this article

Respond to this article

Jump to comment:

No eLetters have been published for this article.

Related Articles

Cited By...

More in this TOC Section

Research Article: New Research

  • Using Cortical Neuron Markers to Target Cells in the Dorsal Cochlear Nucleus
  • Parvalbumin Interneurons Are Differentially Connected to Principal Cells in Inhibitory Feedback Microcircuits along the Dorsoventral Axis of the Medial Entorhinal Cortex
  • Traumatic brain injury broadly affects GABAergic signaling in dentate gyrus granule cells
Show more Research Article: New Research

Disorders of the Nervous System

  • Using Cortical Neuron Markers to Target Cells in the Dorsal Cochlear Nucleus
  • Parvalbumin Interneurons Are Differentially Connected to Principal Cells in Inhibitory Feedback Microcircuits along the Dorsoventral Axis of the Medial Entorhinal Cortex
  • Traumatic brain injury broadly affects GABAergic signaling in dentate gyrus granule cells
Show more Disorders of the Nervous System

Subjects

  • Disorders of the Nervous System
  • Home
  • Alerts
  • Visit Society for Neuroscience on Facebook
  • Follow Society for Neuroscience on Twitter
  • Follow Society for Neuroscience on LinkedIn
  • Visit Society for Neuroscience on Youtube
  • Follow our RSS feeds

Content

  • Early Release
  • Current Issue
  • Latest Articles
  • Issue Archive
  • Blog
  • Browse by Topic

Information

  • For Authors
  • For the Media

About

  • About the Journal
  • Editorial Board
  • Privacy Policy
  • Contact
  • Feedback
(eNeuro logo)
(SfN logo)

Copyright © 2021 by the Society for Neuroscience.
eNeuro eISSN: 2373-2822

The ideas and opinions expressed in eNeuro do not necessarily reflect those of SfN or the eNeuro Editorial Board. Publication of an advertisement or other product mention in eNeuro should not be construed as an endorsement of the manufacturer’s claims. SfN does not assume any responsibility for any injury and/or damage to persons or property arising from or related to any use of any material contained in eNeuro.