Skip to main content

Main menu

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • 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
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT

User menu

Search

  • Advanced search
eNeuro
eNeuro

Advanced Search

 

  • HOME
  • CONTENT
    • Early Release
    • Featured
    • Current Issue
    • Issue Archive
    • Blog
    • Collections
    • Podcast
  • 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
  • ABOUT
    • Overview
    • Editorial Board
    • For the Media
    • Privacy Policy
    • Contact Us
    • Feedback
  • SUBMIT
PreviousNext
Research ArticleNew Research, Development

Developmental Emergence of Phenotypes in the Auditory Brainstem Nuclei of Fmr1 Knockout Mice

Sarah E. Rotschafer and Karina S. Cramer
eNeuro 26 December 2017, 4 (6) ENEURO.0264-17.2017; https://doi.org/10.1523/ENEURO.0264-17.2017
Sarah E. Rotschafer
Department of Neurobiology and Behavior, University of California, Irvine, CA 92697
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Karina S. Cramer
Department of Neurobiology and Behavior, University of California, Irvine, CA 92697
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • 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.

    VCN cell size in wild-type and Fmr1 KO mice. A, VCN cells stained with fluorescent Nissl in wild-type (top) and Fmr1 KO (bottom) mice at P1, P6, and P14. Scale bar = 100 μm. B, Cell size did not differ between wild-type mice (black bars) and Fmr1 KO mice (gray bars) at P1, P6, or P14. Both genotypes showed increases in cell size between P1 and P14, and between P6 and P14. *, p < 0.05; **, p < 0.01; and ***, p < 0.001.

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

    MNTB cell size in wild-type and Fmr1 KO mice. A, MNTB cells in wild-type mice (top) and Fmr1 KO mice (bottom) at P1, P6, and P14. Scale bar = 100 μm. B, The cross-sectional area of Fmr1 KO neurons was significantly reduced compared to wild-type mice at all ages tested. *, p < 0.05; **, p < 0.01; and ***, p < 0.001.

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

    MNTB cell size was reduced and medial-lateral cell size gradient development delayed in Fmr1 KO mice. A–C, Cell area in wild-type and Fmr1 KO MNTB at P1, P6, and P14. D–F, Cells in the Fmr1 KO medial and lateral MNTB were smaller than those found in wild-type mice at P1, P6, and P14. In P1 and P6 wild-type mice, medial MNTB cells were significantly smaller than lateral MNTB cells, but in Fmr1 KO mice, this difference was not observed. By P14, both genotypes showed significantly smaller cell size in medial MNTB compared to lateral MNTB. Scale bar in A = 100 μm; applies to A–C. *, p < 0.05; **, p < 0.01; and ***, p < 0.001.

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

    LSO cell size in wild-type and Fmr1 KO mice. A, Fluorescent Nissl stain in LSO in wild-type mice (top) and Fmr1 KO mice (bottom) at P1, P6, and P14. Scale bar = 100 μm. B, Fmr1 KO cell size was significantly smaller than those in wild-type mice at all ages tested. *, p < 0.05; **, p < 0.01; and ***, p < 0.001.

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

    Nucleus growth and cell acquisition in wild-type and Fmr1 KO mice. A, Outlines of VCN in coronal sections at P1, P6, and P14. Medial is to the right. B, In VCN, both wild-type mice and Fmr1 KO mice show age-related increases in nucleus area. C, The number of cells in the wild-type VCN increased with age. Increases in cell number in Fmr1 KO mice did not reach significance. D, Outlines of MNTB in wild-type and Fmr1 KO mice at P1, P6, and P14. E, In MNTB, wild-type and Fmr1 KO mice both showed significant increases in nucleus size at all ages tested. F, Both wild-type mice and Fmr1 KO mice showed age-dependent increases in cell number in MNTB. G, Outlines of LSO in wild-type and Fmr1 KO mice at P1, P6, and P14. H, LSO grew in size at each age in both wild-type and Fmr1 KO mice. I, The number of cells in LSO in both wild-type mice and Fmr1 KO mice increased significantly with age. Top row in A: 100-μm scale bar applies to P1 images (20× magnification). Second row in A: 100-μm scale bar applies to for P6 and P14 images (10× magnification). *, p < 0.05; **, p < 0.01; and ***, p < 0.001.

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

    VGLUT, VGAT, and synaptophysin expression in VCN. A, B, VGLUT and VGAT immunofluorescence in VCN in wild-type (top) and Fmr1 KO (bottom) mice at P6 (A) and P14 (B). C, Synaptophysin expression in VCN in wild-type (top) and Fmr1 KO (bottom) mice at P6 (left) and P14 (right). D, In VCN in both wild-type and Fmr1 KO mice, VGLUT fractional coverage was reduced at P14 compared to P6, but did not vary between genotypes. E, VGAT fractional coverage decreased significantly from P6 to P14 in Fmr1 KO mice. F, Synaptophysin fractional coverage did not differ with age or genotype. G, VGLUT relative to VGAT expression (ISP) did not differ significantly between genotypes, but ISP values decreased significantly from P6 to P14. Scale bar in A = 50 μm; applies to A–C. *, p < 0.05; **, p < 0.01; and ***, p < 0.001.

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

    VGLUT, VGAT, and synaptophysin expression in MNTB. A, B, VGLUT and VGAT expression in wild-type and Fmr1 KO MNTB at P6 (A) and P14 (B). C, Synaptophysin expression in MNTB in wild-type (top) and Fmr1 KO (bottom) mice. D, VGLUT fractional coverage did not vary between genotypes or ages. E, VGAT fractional coverage was significantly greater in Fmr1 KO MNTB at both P6 and P14. F, Synaptophysin coverage did not differ significantly by age or by genotype. G, ISP values were significantly smaller in Fmr1 KO mice at both P6 and P14. Scale bar in A = 50 μm; applies to A–C. *, p < 0.05; **, p < 0.01; and ***, p < 0.001.

  • Figure 8.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 8.

    VGLUT, VGAT, and synaptophysin expression in LSO. A, B, Expression of VGLUT (left) and VGAT (right) at P6 and P14 in LSO. C, Synaptophysin expression at P6 and P14 in wild-type and mutant mice. D, In both wild-type and Fmr1 KO LSO, VGLUT expression decreased with age but did not differ between genotypes. E, VGAT fractional coverage increased between P6 and P14 in both genotypes but did not differ between genotypes. F, Synaptophysin fractional coverage was significantly greater in Fmr1 KO mice at both ages tested and did not change significantly between these ages. G, ISP values decreased significantly between P6 and P14. ISP was significantly smaller in Fmr1 KO mice than in wild-type mice at P14. Scale bar in A = 50 μm; applies to A–C. *, p < 0.05; **, p < 0.01; and ***, p < 0.001.

  • Figure 9.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 9.

    Emergence of microglia in the auditory brainstem nuclei in wild-type and Fmr1 KO mice. A–C, Increase in microglial population was studied in the VCN at P1, P6, and P14. Left column, Iba1 immunofluorescence in green; right column, Iba1 together with fluorescent Nissl. Nucleus outline is shown in dashed lines. D, The number of microglia in VCN increased with age in both wild-type and Fmr1 KO mice, but no difference was seen between the genotypes. E–G, Emergence of microglia was evaluated in MNTB using Iba1 immunofluorescence (left) together with Nissl (right). H, Wild type and Fmr1 KO mice both showed significant increases in the number of microglia present in MNTB each age tested, but no significant differences were found between genotypes. I–K, Emergence of microglia in LSO during development. L, The number of microglia expressed steadily increased at each age tested in both wild-type and Fmr1 KO mice. As for VCN and MNTB, no difference in numbers of microglia were seen between the genotypes. Scale bar in A = 100 μm, applies to A, E, and I. Scale bar in B = 10 0μm, applies to B, C, F, G, and J–K. *, p < 0.05; **, p < 0.01; and ***, p < 0.001.

  • Figure 10.
    • Download figure
    • Open in new tab
    • Download powerpoint
    Figure 10.

    Emergence of astrocytes in the wild-type and Fmr1 KO auditory brainstem. A, The number of astrocytes in the VCN was evaluated at P6 and P14 using ALDH1L1 immunofluorescence. B, Numbers of ALDH1L1-positive astrocytes in VCN increased between P6 and P14 in both genotypes. At P14, there were significantly more astrocytes in VCN in Fmr1 KO mice than in wild-type mice. C, Astrocytes labeled in MNTB at P6 and P14. D, Astrocyte numbers increased significantly in MNTB in both wild-type and Fmr1 KO mice, but no difference were seen between the genotypes. E, ALDH1L1 immunolabeled astrocytes in LSO. F, Astrocytes increased in number between P6 and P14 in both genotypes, and significantly more astrocytes were present in the Fmr1 KO LSO at P14. Scale bar in A = 100 μm; scale bar in C = 100 μm, applies to C and E. *, p < 0.05; **, p < 0.01; and ***, p < 0.001.

Tables

  • Figures
    • View popup
    Table 1.

    Statistical analysis

    FigureTestSample size (n)Test statisticspPower α = 0.050
    1BTwo-way ANOVAWT: P1 = 5, P6 = 8, P14 = 15; KO: P1 = 5, P6 = 10, P14 = 16Age F = 74.469; genotype F = 2.714; age × genotype F = 1.251Age p < 0.001; genotype p = 0.105; age × genotype p = 0.294Age α = 1.000; genotype α = 0.236; age × genotype α = 0.085
    2BTwo-way ANOVAWT: P1 = 7, P6 = 8, P14 = 10; KO: P1 = 5, P6 = 9, P14 = 10Age F = 234.948; genotype F = 56.277; age × genotype F = 3.471Age p < 0.001; genotype p < 0.001; age × genotype p = 0.040Age α = 1.000; genotype α = 1.000; age × genotype α = 0.460
    3DTwo-way ANOVAWT: P1 = 5, P6 = 8, P14 = 15; KO: P1 = 5, P6 = 10, P14 = 16Location F = 10.762; genotype F = 240.432; location × genotype F = 11.572Location p < 0.001; genotype p < 0.001; location × genotype p = 0.040Location α = 0.859; genotype α = 1.000; location × genotype α = 0.887
    3ETwo-way ANOVAWT: P1 = 5, P6 = 8, P14 = 15; KO: P1 = 5, P6 = 10, P14 = 16Location F = 14.142; genotype F = 39.594; location × genotype F = 5.922Location p < 0.001; genotype p < 0.001; location × genotype p = 0.020Location α = 0.958; genotype α = 1.000; location × genotype α = 0.577
    3FTwo-way ANOVAWT: P1 = 5, P6 = 8, P14 = 15; KO: P1 = 5, P6 = 10, P14 = 16Location F = 144.012; genotype F = 36.820; location × genotype F = 1.056Location p < 0.001; genotype p < 0.001; location × genotype p = 0.308Location α = 1.000; genotype α = 1.000; location × genotype α = 0.053
    4BTwo-way ANOVAWT: P1 = 7, P6 = 8, P14 = 10; KO: P1 = 5, P6 = 9, P14 = 10Age F = 30.240; genotype F = 48.714; age × genotype F = 2.404Age p < 0.001; genotype p < 0.001; age × genotype p = 0.100Age α = 1.000; genotype α = 1.000; age × genotype α = 0.278
    5BTwo-way ANOVAWT: P1 = 5, P6 = 8, P14 = 15; KO: P1 = 5, P6 = 10, P14 = 16Age F = 74.602; genotype F = 1.300; age × genotype F = 0.839Age p < 0.001; genotype p = 0.259; age × genotype p = 0.438Age α = 1.000; genotype α = 0.0789; age × genotype α = 0.050
    5CTwo-way ANOVAWT: P1 = 5, P6 = 8, P14 = 15; KO: P1 = 5, P6 = 10, P14 = 16Age F = 6.544; genotype F = 0.049; age × genotype F = 0.730Age p = 0.003; genotype p = 0.824; age × genotype p = 0.487Age α = 0.844; genotype α = 0.050; age × genotype α = 0.050
    5ETwo-way ANOVAWT: P1 = 5, P6 = 8, P14 = 15; KO: P1 = 5, P6 = 10, P14 = 16Age F = 188.708; genotype F = 1.683; age × genotype F = 0.860Age p < 0.001; genotype p = 0.200; age × genotype p = 0.428Age α = 1.000; genotype α = 0.120; age × genotype α = 0.050
    5FTwo-way ANOVAWT: P1 = 5, P6 = 8, P14 = 15; KO: P1 = 5, P6 = 10, P14 = 16Age F = 28.024; genotype F = 0.009; age × genotype F = 0.473Age p < 0.001; genotype p = 0.925; age × genotype p = 0.626Age α = 1.000; genotype α = 0.050; age × genotype α = 0.050
    5HTwo-way ANOVAWT: P1 = 5, P6 = 8, P14 = 15; KO: P1 = 5, P6 = 10, P14 = 16Age F = 60.344; genotype F = 0.792; age × genotype F = 0.155Age p < 0.001; genotype p = 0.377; age × genotype p = 0.857Age α = 1.000; genotype α = 0.050; age × genotype α = 0.050
    5ITwo-way ANOVAWT: P1 = 5, P6 = 8, P14 = 15; KO: P1 = 5, P6 = 10, P14 = 16Age F = 35.620; genotype F = 0.724; age × genotype F = 0.620Age p < 0.001; genotype p = 0.398; age × genotype p = 0.541Age α = 1.000; genotype α = 0.050; age × genotype α = 0.050
    6DTwo-way ANOVAWT: P6 = 7, P14 = 10; KO:P6 = 13, P14 = 16Age F = 30.666; genotype F = 0.009; age × genotype F = 0.002Age p < 0.001; genotype p = 0.926; age × genotype p = 0.967Age α = 1.000; genotype α = 0.050; age × genotype α = 0.050
    6ETwo-way ANOVAWT: P6 = 7, P14 = 10; KO: P6 = 13, P14 = 16Age F = 10.846; genotype F = 0.098; age × genotype F = 0.078Age p = 0.002; genotype p = 0.756; age × genotype p = 0.782Age α = 0.883; genotype α = 0.050; age × genotype α = 0.050
    6FTwo-way ANOVAWT: P6 = 7, P14 = 10; KO: P6 = 13, P14 = 16Age F = 1.350; genotype F = 3.178; age × genotype F = 0.008Age p = 0.255; genotype p = 0.085; age × genotype p = 0.927Age α = 0.083; genotype α = 0.282; age × genotype α = 0.050
    6GTwo-way ANOVAWT: P6 = 7, P14 = 10; KO: P6 = 13, P14 = 16Age F = 15.330; genotype F = 0.195; age × genotype F = 0.094Age p < 0.001; genotype p = 0.661; age × genotype p = 0.760Age α = 0.972; genotype α = 0.050; age × genotype α = 0.050
    7DTwo-way ANOVAWT: P6 = 8, P14 = 10; KO: P6 = 13, P14 = 16Age F = 0.283; genotype F = 0.417; age × genotype F = 1.336Age p = 0.600; genotype p = 0.525; age × genotype p = 0.260Age α = 0.050; genotype α = 0.050; age × genotype α = 0.081
    7ETwo-way ANOVAWT: P6 = 8, P14 = 10; KO: P6 = 13, P14 = 16Age F = 0.804; genotype F = 66.730; age × genotype F = 0.017Age p = 0.379; genotype p < 0.001; age × genotype p = 0.896Age α = 0.050; genotype α = 1.000; age × genotype α = 0.050
    7FTwo-way ANOVAWT: P6 = 8, P14 = 10; KO:P6 = 13, P14 = 16Age F = 1.785; genotype F = 4.347; age × genotype F = 0.037Age p = 0.194; genotype p = 0.047; age × genotype p = 0.849Age α = 0.128; genotype α = 0.408; age × genotype α = 0.050
    7GTwo-way ANOVAWT: P6 = 8, P14 = 10; KO: P6 = 13, P14 = 16Age F = 1.291; genotype F = 23.979; age × genotype F = 0.719Age p = 0.268; genotype p < 0.001; age × genotype p = 0.406Age α = 0.077; genotype α = 0.998; age × genotype α = 0.050
    8DTwo-way ANOVAWT: P6 = 8, P14 = 10; KO: P6 = 13, P14 = 16Age F = 16.857; genotype F = 0.210; age × genotype F = 0.169Age p < 0.001; genotype p = 0.649; age × genotype p = 0.683Age α = 0.984; genotype α = 0.050; age × genotype α = 0.050
    8ETwo-way ANOVAWT: P6 = 8, P14 = 10; KO: P6 = 13, P14 = 16Age F = 13.242; genotype F = 0.991; age × genotype F = 0.078Age p < 0.001; genotype p = 0.325; age × genotype p = 0.782Age α = 0.944; genotype α = 0.050; age × genotype α = 0.050
    8FTwo-way ANOVAWT: P6 = 8, P14 = 10; KO: P6 = 13, P14 = 16Age F = 5.388; genotype F = 40.622; age × genotype F = 0.008Age p < 0.001; genotype p = 0.027; age × genotype p = 0.929Age α = 1.000; genotype α = 0.519; age × genotype α = 0.050
    8GTwo-way ANOVAWT: P6 = 8, P14 = 10; KO: P6 = 13, P14 = 16Age F = 62.677; genotype F = 4.302; age × genotype F = 1.233Age p < 0.001; genotype p = 0.044; age × genotype p = 0.273Age α = 1.000; genotype α = 0.414; age × genotype α = 0.072
    9DTwo-way ANOVAWT: P1 = 7, P6 = 8, P14 = 15; KO: P1 = 5, P6 = 14, P14 = 16Age F = 24.955; genotype F = 1.250; age × genotype F = 0.125Age p < 0.001; genotype p = 0.269; age × genotype p = 0.882Age α = 1.000; genotype α = 0.074; age × genotype α = 0.050
    9HTwo-way ANOVAWT: P1 = 7, P6 = 8, P14 = 15; KO: P1 = 5, P6 = 14, P14 = 16Age F = 52.928; genotype F = 0.219; age × genotype F = 0.428Age p < 0.001; genotype p = 0.642; age × genotype p = 0.654Age α = 1.000; genotype α = 0.050; age × genotype α = 0.050
    9LTwo-way ANOVAWT: P1 = 7, P6 = 8, P14 = 15; KO: P1 = 5, P6 = 14, P14 = 16Age F = 50.641; genotype F = 0.783; age × genotype F = 1.917Age p < 0.001; genotype p = 0.380; age × genotype p = 0.156Age α = 1.000; genotype α = 0.050; age × genotype α = 0.193
    10BTwo-way ANOVAWT: P6 = 8, P14 = 13; KO: P6 = 10, P14 = 11Age F = 21.766; genotype F = 5.393; age × genotype F = 1.687Age p < 0.001; genotype p = 0.026; age × genotype p = 0.203Age α = 0.997; genotype α = 0.524; age × genotype α = 0.119
    10DTwo-way ANOVAWT: P6 = 8, P14 = 13; KO: P6 = 10, P14 = 11Age F = 19.654; genotype F = 1.462; age × genotype F = 0.256Age p < 0.001; genotype p = 0.234; age × genotype p = 0.616Age α = 0.994; genotype α = 0.095; age × genotype α = 0.050
    10FTwo-way ANOVAWT: P6 = 8, P14 = 13; KO: P6 = 10, P14 = 11Age F = 27.231; genotype F = 5.368; age × genotype F = 2.468Age p < 0.001; genotype p = 0.026; age × genotype p = 0.125Age α = 1.000; genotype α = 0.523; age × genotype α = 0.205
    • View popup
    Table 2.

    Correlation coefficients and statistics comparing cell size across nuclei

    SourceMNTB cell sizeLSO cell size
    P6 wild type
        VCN cell sizePearson’s r = 0.014; p = 0.975; n = 8Pearson’s r = 0.393; p = 0.335; n = 8
        MNTB cell size—Pearson’s r = –0.375; p = 0.360; n = 8
    P6 Fmr1 KO
        VCN cell sizePearson’s r = 0.675; p = 0.096; n = 7Pearson’s r = –0.544; p = 0.068; n = 12
        MNTB cell size—Pearson’s r = –0.785; p = 0.037; n = 7
    P14 wild type
        VCN cell sizePearson’s r = –0.239; p = 0.507; n = 10Pearson’s r = 0.655; p = 0.008; n = 15
        MNTB cell size—Pearson’s r = 0.440; p = 0.203; n = 10
    P14 Fmr1 KO
        VCN cell sizePearson’s r = –0.176; p = 0.650; n = 9Pearson’s r = 0.772; p = 0.0012; n = 14
        MNTB cell size—Pearson’s r = 0.048; p = 0.902; n = 9
    • View popup
    Table 3.

    Correlations between Iba1 expression levels and expression of each synaptic protein

    Comparison, age, and genotypeNucleusCorrelation coefficient and statistics
    Iba1 vs. VGLUT
    P6
        Wild typeVCNPearson’s r = 0.781; p = 0.038; n = 7
        Wild typeMNTBPearson’s r = 0.818; p = 0.013; n = 8
        Wild typeLSOPearson’s r = 0.664; p = 0.073; n = 8
        Fmr1 KOVCNPearson’s r = 0.386; p = 0.271; n = 10
        Fmr1 KOMNTBPearson’s r = 0.793; p = 0.001; n = 13
        Fmr1 KOLSOPearson’s r = 0.305; p = 0.310; n = 13
    P14
        Wild typeVCNPearson’s r = –0.179; p = 0.620; n = 10
        Wild typeMNTBPearson’s r = 0.493; p = 0.148; n = 10
        Wild typeLSOPearson’s r = –0.036; p = 0.921; n = 10
        Fmr1 KOVCNPearson’s r = 0.176; p = 0.515; n = 16
        Fmr1 KOMNTBPearson’s r = –0.039; p = 0.887; n = 16
        Fmr1 KOLSOPearson’s r = –0.392; p = 0.133; n = 16
    Iba1 vs. VGAT
    P6
        Wild typeVCNPearson’s r = 0.119; p = 0.799; n = 7
        Wild typeMNTBPearson’s r = 0.737; p = 0.037; n = 8
        Wild typeLSOPearson’s r = 0.236; p = 0.574; n = 8
        Fmr1 KOVCNPearson’s r = 0.0006; p = 0.999; n = 10
        Fmr1 KOMNTBPearson’s r = 0.695; p = 0.008; n = 13
        Fmr1 KOLSOPearson’s r = 0.130; p = 0.673; n = 13
    P14
        Wild typeVCNPearson’s r = 0.097; p = 0.789; n = 10
        Wild typeMNTBPearson’s r = 0.149; p = 0.682; n = 10
        Wild typeLSOPearson’s r = –0.292; p = 0.412; n = 10
        Fmr1 KOVCNPearson’s r = 0.165; p = 0.541; n = 16
        Fmr1 KOMNTBPearson’s r = –0.345; p = 0.190; n = 16
        Fmr1 KOLSOPearson’s r = –0.401; p = 0.124; n = 16
    Iba1 vs. Synaptophysin
    P6
        Wild typeVCNPearson’s r = 0.422; p = 0.346; n = 7
        Wild typeMNTBPearson’s r = 0.006; p = 0.989; n = 7
        Wild typeLSOPearson’s r = 0.605; p = 0.150; n = 7
        Fmr1 KOVCNPearson’s r = 0.281; p = 0.500; n = 8
        Fmr1 KOMNTBPearson’s r = 0.231; p = 0.582; n = 8
        Fmr1 KOLSOPearson’s r = 0.203; p = 0.629; n = 8
    P14
        Wild typeVCNPearson’s r = –0.115; p = 0.751; n = 10
        Wild typeMNTBPearson’s r = 0.346; p = 0.328; n = 10
        Wild typeLSOPearson’s r = 0.151; p = 0.676; n = 10
        Fmr1 KOVCNPearson’s r = 0.565; p = 0.113; n = 9
        Fmr1 KOMNTBPearson’s r = –0.057; p = 0.884; n = 9
        Fmr1 KOLSOPearson’s r = –0.729; p = 0.026; n = 9
    • View popup
    Table 4.

    Correlations between ALDH1L1 expression and synaptic protein expression

    Comparison, age, and genotypeNucleusCorrelation coefficient and statistics
    ALDH1L1 vs. VGLUT
    P6
        Wild typeVCNPearson’s r = 0.056; p = 0.906; n = 7
        Wild typeMNTBPearson’s r = 0.476; p = 0.281; n = 7
        Wild typeLSOPearson’s r = 0.141; p = 0.763; n = 7
        Fmr1 KOVCNPearson’s r = 0.248; p = 0.489; n = 10
        Fmr1 KOMNTBPearson’s r = 0.207; p = 0.566; n = 10
        Fmr1 KOLSOPearson’s r = 0.330; p = 0.351; n = 10
    P14
        Wild typeVCNPearson’s r = 0.450; p = 0.225; n = 9
        Wild typeMNTBPearson’s r = 0.263; p = 0.462; n = 10
        Wild typeLSOPearson’s r = –0.238; p = 0.508; n = 10
        Fmr1 KOVCNPearson’s r = –0.507; p = 0.135; n = 10
        Fmr1 KOMNTBPearson’s r = –0.675; p = 0.023; n = 11
        Fmr1 KOLSOPearson’s r = 0.912; p = 0.00009; n = 11
    ALDH1L1 vs. VGAT
    P6
        Wild typeVCNPearson’s r = –0.775; p = 0.041; n = 7
        Wild typeMNTBPearson’s r = 0.274; p = 0.553; n = 7
        Wild typeLSOPearson’s r = 0.057; p = 0.903; n = 7
        Fmr1 KOVCNPearson’s r = 0.028; p = 0.939; n = 10
        Fmr1 KOMNTBPearson’s r = 0.449; p = 0.193; n = 10
        Fmr1 KOLSOPearson’s r = –0.211; p = 0.559; n = 10
    P14
        Wild typeVCNPearson’s r = 0.407; p = 0.277; n = 9
        Wild typeMNTBPearson’s r = 0.099; p = 0.785; n = 10
        Wild typeLSOPearson’s r = –0.436; p = 0.208; n = 10
        Fmr1 KOVCNPearson’s r = –0.721; p = 0.019; n = 10
        Fmr1 KOMNTBPearson’s r = 0.747; p = 0.008; n = 11
        Fmr1 KOLSOPearson’s r = 0.895; p = 0.0002; n = 11
    ALDH1L1 vs. Synaptophysin
    P6
        Wild typeVCNPearson’s r = –0.434; p = 0.331; n = 7
        Wild typeMNTBPearson’s r = 0.155; p = 0.740; n = 7
        Wild typeLSOPearson’s r = 0.550; p = 0.201; n = 7
        Fmr1 KOVCNPearson’s r = 0.376; p = 0.359; n = 8
        Fmr1 KOMNTBPearson’s r = 0.370; p = 0.367; n = 8
        Fmr1 KOLSOPearson’s r = –0.398; p = 0.329; n = 8
    P14
        Wild typeVCNPearson’s r = –0.126; p = 0.747; n = 9
        Wild typeMNTBPearson’s r = 0.807; p = 0.005; n = 10
        Wild typeLSOPearson’s r = 0.136; p = 0.707; n = 10
        Fmr1 KOVCNPearson’s r = –0.077; p = 0.857; n = 8
        Fmr1 KOMNTBPearson’s r = –0.301; p = 0.431; n = 9
        Fmr1 KOLSOPearson’s r = –0.036; p = 0.926; n = 9
    • View popup
    Table 5.

    Statistics for two-way ANOVA to identify effects of sex and genotype

    P14VCNMNTBLSO
    Nucleus sizeSex: F1,27 = 0.546, p = 0.466; genotype: F1,27 = 0.248, p = 0.623; interaction: F1,27 = 0.289, p = 0.595Sex: F1,27 = 0.108, p = 0.745; genotype: F1,27 = 5.877, p = 0.022; interaction: F1,27 = 0.024, p = 0.878Sex: F1,27 = 0.669, p = 0.421; genotype: F1,27 = 0.022, p = 0.884; interaction: F1,27 = 3.438, p = 0.075
    Number of cellsSex: F1,27 = 0.459, p = 0.504; genotype: F1,27 = 0.174, p = 0.680; interaction: F1,27 = 0.998, p = 0.327Sex: F1,27 = 0.032, p = 0.860; genotype: F1,27 = 0.298, p = 0.590; interaction: F1,27 = 0.740, p = 0.397Sex: F1,27 = 0.004, p = 0.947; genotype: F1,27 = 1.698, p = 0.204; interaction: F1,27 = 3.140, p = 0.088
    Cell sizeSex: F1,26 = 1.106, p = 0.303; genotype: F1,26 = 2.796, p = 0.107; interaction: F1,26 = 0.086, p = 0.771Sex: F1,16 = 0.225, p = 0.642; genotype: F1,16 = 21.198, p < 0.001; interaction: F1,16 = 3.111, p = 0.097Sex: F1,26 = 0.009, p = 0.925; genotype: F1,26 = 14.746, p < 0.001; interaction: F1,26 = 0.392, p = 0.537
    VGLUTSex: F1,22 = 4.253, p = 0.051; genotype: F1,22 = 0.049, p = 0.828; interaction: F1,22 = 0.108, p = 0.746Sex: F1,6 = 1.265, p = 0.304; genotype: F1,6 = 3.258, p = 0.121; interaction: F1,6 = 5.738, p = 0.054Sex: F1,22 = 0.789, p = 0.384; genotype: F1,22 = 0.009, p = 0.927; interaction: F1,22 = 0.268, p = 0.610
    VGATSex: F1,22 = 2.066, p = 0.165; genotype: F1,22 = 0.488, p = 0.492; interaction: F1,22 = 0.591, p = 0.450Sex: F1,6 = 0.196, p = 0.674; genotype: F1,6 = 16.028, p = 0.007; interaction: F1,6 = 1.159, p = 0.323Sex: F1,22 = 1.510, p = 0.232; genotype: F1,22 = 0.551, p = 0.466; interaction: F1,22 = 0.962, p = 0.337
    ISPSex: F1,22 = 1.187, p = 0.288; genotype: F1,22 = 0.404, p = 0.531; interaction: F1,22 = 2.715, p = 0.114Sex: F1,6 = 0.099, p = 0.764; genotype: F1,6 = 6.793, p = 0.040; interaction: F1,6 = 4.950, p = 0.068Sex: F1,22 = 0.646, p = 0.430; genotype: F1,22 = 4.515, p = 0.055; interaction: F1,22 = 0.668, p = 0.422
    SynaptophysinSex: F1,16 = 1.165, p = 0.296; genotype: F1,16 = 1.537, p = 0.233; interaction: F1,16 = 1.072, p = 0.316Sex: F1,6 = 0.224, p = 0.653; genotype: F1,6 = 2.765, p = 0.147; interaction: F1,6 = 0.910, p = 0.377Sex: F1,16 = 0.824, p = 0.377; genotype: F1,16 = 31.222, p < 0.001; interaction: F1,16 = 1.103, p = 0.309
    IBA1Sex: F1,27 = 1.589, p = 0.218; genotype: F1,27 = 1.192, p = 0.285; interaction: F1,27 = 2.381, p = 0.134Sex: F1,27 = 0.268, p = 0.609; genotype: F1,27 = 0.569, p = 0.457; interaction: F1,27 = 0.125, p = 0.727Sex: F1,27 = 0.094, p = 0.761; genotype: F1,27 = 0.075, p = 0.786; interaction: F1,27 = 1.556, p = 0.223
    ALDH1L1Sex: F1,18 = 0.109, p = 0.745; genotype: F1,18 = 4.855, p = 0.041; interaction: F1,18 = 3.020, p = 0.099Sex: F1,20 = 0.215, p = 0.648; genotype: F1,20 = 1.025, p = 0.323; interaction: F1,20 = 0.149, p = 0.703Sex: F1,20 = 0.495, p = 0.490; genotype: F1,20 = 4.130, p = 0.056; interaction: F1,20 = 2.392, p = 0.138
Back to top

In this issue

eneuro: 4 (6)
eNeuro
Vol. 4, Issue 6
November/December 2017
  • 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.
Developmental Emergence of Phenotypes in the Auditory Brainstem Nuclei of Fmr1 Knockout Mice
(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
Citation Tools
Developmental Emergence of Phenotypes in the Auditory Brainstem Nuclei of Fmr1 Knockout Mice
Sarah E. Rotschafer, Karina S. Cramer
eNeuro 26 December 2017, 4 (6) ENEURO.0264-17.2017; DOI: 10.1523/ENEURO.0264-17.2017

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
Developmental Emergence of Phenotypes in the Auditory Brainstem Nuclei of Fmr1 Knockout Mice
Sarah E. Rotschafer, Karina S. Cramer
eNeuro 26 December 2017, 4 (6) ENEURO.0264-17.2017; DOI: 10.1523/ENEURO.0264-17.2017
Twitter logo Facebook logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Significance Statement
    • Introduction
    • MATERIALS AND METHODS
    • Results
    • Discussion
    • Conclusion
    • Acknowledgments
    • Footnotes
    • References
    • Synthesis
  • Figures & Data
  • Info & Metrics
  • eLetters
  • PDF

Keywords

  • auditory
  • brainstem
  • Fragile X
  • lateral superior olive
  • medial nucleus of the trapezoid body
  • ventral cochlear nucleus:

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

New Research

  • A Very Fast Time Scale of Human Motor Adaptation: Within Movement Adjustments of Internal Representations during Reaching
  • Optogenetic Activation of β-Endorphin Terminals in the Medial Preoptic Nucleus Regulates Female Sexual Receptivity
  • Hsc70 Ameliorates the Vesicle Recycling Defects Caused by Excess α-Synuclein at Synapses
Show more New Research

Development

  • Evidence That Dmrta2 Acts through Repression of Pax6 in Cortical Patterning and Identification of a Mutation Impairing DNA Recognition Associated with Microcephaly in Human
  • Deletion of endocannabinoid synthesizing enzyme DAGLα in Pcp2-positive cerebellar Purkinje cells decreases depolarization-induced short-term synaptic plasticity, reduces social preference, and heightens anxiety
  • Early Development of Hypothalamic Neurons Expressing Proopiomelanocortin Peptides, Neuropeptide Y and Kisspeptin in Fetal Rhesus Macaques
Show more Development

Subjects

  • Development
  • Home
  • Alerts
  • Follow SFN on BlueSky
  • 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 Notice
  • Contact
  • Feedback
(eNeuro logo)
(SfN logo)

Copyright © 2025 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.