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Research ArticleResearch Article: New Research, Novel Tools and Methods

Localized Calcium Signaling and the Control of Coupling at Cx36 Gap Junctions

Keith B. Moore, Cheryl K. Mitchell, Ya-Ping Lin, Yuan-Hao Lee, Eyad Shihabeddin and John O’Brien
eNeuro 16 March 2020, 7 (2) ENEURO.0445-19.2020; DOI: https://doi.org/10.1523/ENEURO.0445-19.2020
Keith B. Moore
1Richard S. Ruiz, M.D. Department of Ophthalmology and Visual Science, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030
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Cheryl K. Mitchell
1Richard S. Ruiz, M.D. Department of Ophthalmology and Visual Science, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030
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Ya-Ping Lin
1Richard S. Ruiz, M.D. Department of Ophthalmology and Visual Science, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030
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Yuan-Hao Lee
1Richard S. Ruiz, M.D. Department of Ophthalmology and Visual Science, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030
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Eyad Shihabeddin
1Richard S. Ruiz, M.D. Department of Ophthalmology and Visual Science, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030
2The MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030
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John O’Brien
1Richard S. Ruiz, M.D. Department of Ophthalmology and Visual Science, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030
2The MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030
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  • Figure 1.
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    Figure 1.

    Properties of Cx36-GCaMP. A, Intrinsic fluorescence of Cx36-GCaMP expressed in HEK293 cells. Cx36-GCaMP assembles into gap junctions at cell-cell boundaries. B, Tracer coupling measurements of Cx36-GCaMP expressed in HeLa cells. Bi, Neurobiotin loading and diffusion from the scraped edge in cells in control conditions (Con) or treated with 10 μM PKA inhibitor (Rp) or 10 μM PKA activator (Sp). Bii, Fits of linear compartmental diffusion model to Cy-3 streptavidin fluorescent labeling of Neurobiotin tracer for each of the images shown. Diffusion coefficient k determined from the fit, in cells2/s, is shown on each graph. C, Mean (bars) diffusion coefficients (k) for Neurobiotin tracer coupling in HeLa cells transfected with EGFP, Cx36-EGFP, or Cx36-GCaMP. All data are shown for six (EGFP, Cx36-GCaMP) or three (Cx36-EGFP) experiments. Error bars show 95% confidence limits of the mean; ****p < 0.0001 versus control.

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    Figure 2.

    Calcium responses of Cx36-GCaMP. A, Fluorescence response to application of 5 μM ionomycin for 40 s (black bar). Data shown are means of 15 gap junctions in three experiments ± 95% confidence limits of the mean. Note that one of three experiments ended at 92 s, so the final 28 s show 10 gap junctions. B, Fluorescence response to application of 100 nM thapsigargin (gray bar). Data shown are means of five gap junctions in one experiment ± 95% confidence limits of the mean. C, Fluorescence response to application of 5 μM ionomycin (black bar) in the presence of 100 nM thapsigargin. Shown are means of 15 gap junctions in three experiments ± 95% confidence limits of the mean. The mean response to ionomycin in control conditions is shown by the black line for reference. D, Fluorescence response to application of 5 μM ionomycin (black bar) in the presence of 200 nM SEA 0400. Shown are means of 14 gap junctions in three experiments ± 95% confidence limits of the mean. The mean response to ionomycin in control conditions is shown by the black line for reference.

  • Figure 3.
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    Figure 3.

    Immunofluorescence labeling of Cx36-GCaMP and NMDA receptors transfected into HEK293 cells. For each transfection combination, Cx36-GCaMP is shown in green, NR1 in red, and NR2x in blue. A, Cx36-GCaMP + NR1. B, Cx36-GCaMP + NR1 + NR2A. C, Cx36-GCaMP + NR1 + NR2B. D, Cx36-GCaMP + NR1 + NR2C. Well-formed gap junctions at cell-cell boundaries were used for live imaging experiments, while overexpressing cells with diffusely distributed Cx36-GCaMP were avoided.

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    Figure 4.

    Cx36-GCaMP gap junction responses to glutamate application. Shown in A–C are representative single gap junction raw fluorescence responses to bath application of 100 μM glutamate (black bar) in HEK293 cells expressing NMDA receptors containing NR1 and NR2A (A), NR2B (B), or NR2C (C). Baseline subtracted average responses to 30 μM (dashed lines) and 100 μM (solid lines) glutamate are shown below in D–F. D, 30 μM NR2A, average of eight gap junctions from two experiments; 100 μM NR2A, average of five gap junctions from one experiment. E, 30 μM NR2B, average of seven gap junctions from two experiments; 100 μM NR2B, average of four gap junctions from one experiment. F, 30 μM NR2C, average of six gap junctions from two experiments; 100 μM NR2C, average of 11 gap junctions from three experiments.

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    Figure 5.

    Glutamate concentration-response relationships of Cx36-GCaMP gap junctions in HEK293 cells expressing NR2A-containing and NR2B-containing NMDA receptors. A, B, Baseline-subtracted fluorescence peak response for NR2A (A) and NR2B-containing (B) cells. C, D, Integrated area under the response curve for NR2A (C) and NR2B-containing (D) cells. All data are shown for 8–25 gap junctions from two to eight experiments per condition. The black lines connect the mean responses.

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    Figure 6.

    Effects of glutamate application on tracer coupling in HeLa cells expressing EGFP or Cx36-GCaMP with or without added NMDA receptor subunits. The diffusion coefficient (k) for Neurobiotin tracer diffusion is shown for 5-min preincubation plus 10-min tracer diffusion time in control media (Con) or control media plus 100 μM glutamate (100 Glu). All data are shown from three experiments; bars show mean values; error bars show 95% confidence limits of the mean; **p < 0.01, ****p < 0.0001 versus same transfection composition in control media.

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    Figure 7.

    Pharmacological characteristics of endogenous glutamate receptors in HeLa cells expressing Cx36-GCaMP. The diffusion coefficient (k) for Neurobiotin tracer diffusion is shown for 5-min preincubation plus 10-min tracer diffusion time in control media (Con), control media plus 100 μM glutamate (Glu), or control media plus 100 μM glutamate plus 100 nM ACET (Glu+ACET), 10 μM CNQX (Glu+CNQX), 40 μM GYKI 53 655 (Glu+GYKI), or 10 μM CPP (Glu+CPP). All data are shown from six (Con, Glu) or three experiments; bars show mean values; error bars show 95% confidence limits of the mean; *p < 0.05, ****p < 0.0001 versus control condition; comparison of each drug versus 100 μM Glu, shown by the bracket, yielded p < 0.0001 for all.

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    Figure 8.

    Protein kinase signaling pathways responsible for potentiation of Cx36-GCaMP tracer coupling by 100 μM glutamate in HeLa cells. The diffusion coefficient (k) for Neurobiotin tracer diffusion is shown using the same experimental paradigm as in Fig. 6. Rp = PKA inhibitor (10 μM); KN-93 = CaMKII inhibitor (10 μM); Glu = 100 μM glutamate. All data are shown from three experiments; bars show mean values; error bars show 95% confidence limits of the mean; *p < 0.05, ****p < 0.0001; ns = not significant. Symbols above bars represent comparison versus same transfected construct in control media; symbols above brackets represent comparison of the conditions underlying the ends of the brackets.

Tables

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    Table 1

    Primers used for cloning

    NameSequenceTemplate
    Cx36-EGFP and GCaMP cloning
    T7 extended GTAATACGACTCACTATAGGGCGAA MsCx36 cDNA
    JOB 284 CCAAACTTGGGTACCCACACATAGGC MsCx36 cDNA
    JOB 285 CCAAACCTTTGATCACACACATAGGC MsCx36 cDNA
    PB513B-1 modification
    KBM 1AATTAATGACCTGCAGGTCGACGACTGCATAGGGTTACpIRES DsRedT3-KR24
    KBM 2GCCGGGATTCTCCTCCACGATCCATTATCATCGTGTTTTTCAApIRES DsRedT3-KR24
    KBM 3 CGCGCCCGCCGCCCTA PB513B-1
    KBM 4TGCAGGTCATTAATTAAGGTGGCGTCTAGCGTAGGCGPB513B-1
    Cx36-GCaMP – NR1 dual vector cloning
    KBM 7 AGCGAATTCGAATTTCAGCGATGGGGGAATGG Cx36-GCaMP
    KBM 8 CCGCGGATCCGATTTTACGCCTTAAGATACATTGATGAGTT Cx36-GCaMP
    KBM 405 AGACGCCACCTTAATTAACGGAGCTCATGAGCACCATG NR1
    KBM 406 ATGCAGTCGTCGACCTGCAGGTCCTCAGCTCTCCCTATGACGG NR1
    NR2 cloning
    KBM 11 GCTAGCGAATTCGAATTTCTCTCCACAGGTGTCCACTCC NR2C
    KBM 12 CGGCCGCGGATCCGATTTGGTGCTGCGCCGAATTA NR2C
    KBM 13 GCTAGCGAATTCGAATTTGCTAGCGGCAGATTGGG NR2A
    KBM 14 CGGCCGCGGATCCGATTTCCAGCTGGTTCTTTCCGC NR2A
    KBM 15 GCTAGCGAATTCGAATTTGTGGTGGGCTGAAGACTCCTTA NR2B
    KBM 16 CGGCCGCGGATCCGATTTCCATAGAGCCCACCGCATC NR2B
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    Table 2

    Statistical outcomes

    Test/comparisonMultiple comparison/effect size95% CI of effect sizepn1exps 1n2exps 2
    Figure 1
    Two-way ANOVATukey
    EGFP Rp vs Con5.690 e-0050.0002499 to –0.00013610.7662296296
    EGFP Sp vs Con–1.034 e-0050.0001827 to –0.00020330.9912296296
    Cx36-EGFP Rp vs Con0.00078200.001050 to 0.0005136<0.0001153153
    Cx36-EGFP Sp vs Con–9.667e-0050.0001717 to –0.00036500.6722153153
    Cx36-GCaMP Rp vs Con0.00092820.001120 to 0.0007368<0.0001296306
    Cx36-GCaMP Sp vs Con0.00010670.0002964 to –8.309e-0050.3819306306
    Two-way ANOVADunnett
    Cx36-EGFP vs EGFP Con6.494e-0050.0002863 to –0.00015640.7451153296
    Cx36-GCaMP vs EGFP Con0.00021490.0003962 to 3.368e-0050.0167306296
    Cx36-EGFP vs EGFP Rp0.00079000.001011 to 0.0005686<0.0001153296
    Cx36-GCaMP vs EGFP Rp0.0010860.001269 to 0.0009034<0.0001296296
    Cx36-EGFP vs EGFP Sp–2.138e-0050.0002000 to –0.00024280.9680153296
    Cx36-GCaMP vs EGFP Sp0.00033200.0005132 to 0.00015070.0001306296
    Figure 6
    Two-way ANOVATukey
    EGFP 100 Glu vs Con0.00012000.0008372 to –0.00059720.9996153153
    Cx36-GCaMP 100 Glu vs Con0.0014000.002117 to 0.0006828<0.0001153153
    Cx36, NR1 100 Glu vs Con0.00088670.001604 to 0.00016950.0052153153
    Cx36, NR1, NR2A 100 Glu vs Con0.0015270.002244 to 0.0008095<0.0001153153
    100 Glu Cx36-GCaMP vs EGFP0.0013370.002054 to 0.0006195<0.0001153153
    100 Glu Cx36, NR1 vs EGFP0.00074330.001461 to 2.617e-0050.0365153153
    100 Glu Cx36, NR1, NR2A vs EGFP0.0014430.002161 to 0.0007262<0.0001153153
    100 Glu Cx36-GCaMP vs Cx36, NR10.0005933–0.0001238 to 0.0013110.1837153153
    100 Glu Cx36-GCaMP vs Cx36, NR1, NR2A–0.0001067–0.0008238 to 0.00061050.9998153153
    100 Glu Cx36, NR1 vs Cx36, NR1, NR2A–0.0007000–0.001417 to 1.717e-0050.0610153153
    Figure 7
    One-way ANOVATukey
    Glu vs Con0.0010320.001242 to 0.0008212<0.0001426376
    Glu+ACET vs Con–3.643e-0060.0002442 to –0.0002515>0.9999233376
    Glu+CNQX vs Con0.00027290.0005364 to 9.411e-0060.0377193376
    Glu+GYKI vs Con0.00023690.0005227 to –4.882e-0050.1651153376
    Glu+CPP vs Con–6.046e-0060.0002574 to –0.0002695>0.9999193376
    Glu+ACET vs Glu–0.001035–0.0007932 to –0.001278<0.0001233426
    Glu+CNQX vs Glu–0.0007588–0.0005007 to –0.001017<0.0001193426
    Glu+GYKI vs Glu–0.0007948–0.0005139 to –0.001076<0.0001153426
    Glu+CPP vs Glu–0.001038–0.0007796 to –0.001296<0.0001193426
    Figure 8
    Two-way ANOVATukey
    EGFP Rp vs Con–5.000e-0050.0003220 to –0.00042200.9960183183
    EGFP Rp+KN93 vs Con–1.944e-0050.0003526 to –0.0003914>0.9999183183
    EGFP Glu vs Con5.408e-0050.0004315 to –0.00032330.9948173183
    EGFP Glu+KN93 vs Con7.173e-0050.0004492 to –0.00030570.9848173183
    Cx36-GCaMP Rp vs Con0.0010300.001390 to 0.0006693<0.0001223173
    Cx36-GCaMP Rp+KN93 vs Con0.0010680.001441 to 0.0006954<0.0001193173
    Cx36-GCaMP Glu vs Con0.0016860.002054 to 0.001317<0.0001203173
    Cx36-GCaMP Glu+KN93 vs Con0.00040010.0007605 to 3.976e-0050.0213223173
    Cx36-GCaMP Rp+KN93 vs Rp3.828e-0050.0003878 to –0.00031120.9982193223
    Cx36-GCaMP Glu+KN93 vs Glu–0.001285–0.0009407 to –0.001630<0.0001223203
    • View popup
    Table 3

    HeLa gene expression analysis

    Glutamate receptor genes
    GeneRaw countNormalized read count
    Grik1-As2GRIK1 antisense RNA 210.033173785
    Grin1Glutamate ionotropic receptor NMDA type subunit 11.5311111110.050792751
    Grin2cGlutamate ionotropic receptor NMDA type subunit 2C10.033173785
    Grin3bGlutamate ionotropic receptor NMDA type subunit 3B1.3636363640.04523698
    Grm1Glutamate metabotropic receptor 100
    Grm2Glutamate metabotropic receptor 200
    Grm3Glutamate metabotropic receptor 300
    Grm4Glutamate metabotropic receptor 400
    Grm5Glutamate metabotropic receptor 500
    Grm5-As1GRM5 antisense RNA 100
    Grm6Glutamate metabotropic receptor 600
    Grm7glutamate metabotropic receptor 700
    Grm7-As1GRM7 antisense RNA 100
    Grm7-As2GRM7 antisense RNA 200
    Grm7-As3GRM7 antisense RNA 300
    Grm8Glutamate metabotropic receptor 800
    Grik1Glutamate ionotropic receptor kainate type subunit 100
    Grik1-As1GRIK1 antisense RNA 100
    Grik2Glutamate ionotropic receptor kainate type subunit 200
    Grik3Glutamate ionotropic receptor kainate type subunit 300
    Grik4Glutamate ionotropic receptor kainate type subunit 400
    Grik5Glutamate ionotropic receptor kainate type subunit 500
    Gria1Glutamate ionotropic receptor AMPA type subunit 100
    Gria2Glutamate ionotropic receptor AMPA type subunit 200
    Gria3Glutamate ionotropic receptor AMPA type subunit 300
    Gria4Glutamate ionotropic receptor AMPA type subunit 400
    Grid1Glutamate ionotropic receptor delta type subunit 100
    Grid1-As1GRID1 antisense RNA 100
    Grid2Glutamate ionotropic receptor delta type subunit 200
    Grin2aGlutamate ionotropic receptor NMDA type subunit 2A00
    Grin2bGlutamate ionotropic receptor NMDA type subunit 2B00
    Grin2dGlutamate ionotropic receptor NMDA type subunit 2D00
    Grin3aGlutamate ionotropic receptor NMDA type subunit 3A00
    Connexin genes
    GeneRaw countNormalized read count
    GJA1Gap junction protein alpha 1 (Cx43)14.450.479361193
    GJA9-MYCBPGJA9 (Cx59)-MYCBP readthrough transcript16.580246910.550029546
    GJB3Gap junction protein beta 3 (Cx31)1.1230769230.037256712
    GJC1Gap junction protein gamma 1 (Cx45)5.1864359860.172053712
    GJC2Gap junction protein gamma 2 (Cx47)2.04650.067890151
    GJD3Gap junction protein delta 3 (Cx31.9)2.7135945950.090020204
    GJA3Gap junction protein alpha 3 (Cx46)00
    GJA4Gap junction protein alpha 4 (Cx37)00
    GJA5Gap junction protein alpha 5 (Cx40)00
    GJA8Gap junction protein alpha 8 (Cx50)00
    GJA10Gap junction protein alpha 10 (Cx62)00
    GJB1Gap junction protein beta 1 (Cx32)00
    GJB2Gap junction protein beta 2 (Cx26)00
    GJB4Gap junction protein beta 4 (Cx30.3)00
    GJB5Gap junction protein beta 5 (Cx31.1)00
    GJB6Gap junction protein beta 6 (Cx30)00
    GJB7Gap junction protein beta 7 (Cx25)00
    GJC3Gap junction protein gamma 3 (Cx29)00
    GJD2Gap junction protein delta 2 (Cx36)00
    GJD4Gap junction protein delta 4 (Cx40.1)00
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Localized Calcium Signaling and the Control of Coupling at Cx36 Gap Junctions
Keith B. Moore, Cheryl K. Mitchell, Ya-Ping Lin, Yuan-Hao Lee, Eyad Shihabeddin, John O’Brien
eNeuro 16 March 2020, 7 (2) ENEURO.0445-19.2020; DOI: 10.1523/ENEURO.0445-19.2020

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Localized Calcium Signaling and the Control of Coupling at Cx36 Gap Junctions
Keith B. Moore, Cheryl K. Mitchell, Ya-Ping Lin, Yuan-Hao Lee, Eyad Shihabeddin, John O’Brien
eNeuro 16 March 2020, 7 (2) ENEURO.0445-19.2020; DOI: 10.1523/ENEURO.0445-19.2020
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Keywords

  • calcium signaling
  • Connexin 36
  • electrical synapse
  • optical imaging
  • Plasticity
  • tracer coupling

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