Functionally-coupled ion channels begin co-assembling at the start of their synthesis
Data files
Nov 19, 2025 version files 325.70 KB
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_Figure_8_panel_B.xlsx
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_Figure_8_panel_C.xlsx
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_Figure_8_panel_D.xlsx
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_Figure_9_panel_D.xlsx
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_Figure_9_panel_E.xlsx
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Figure_2_panel_D.xlsx
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Figure_2_panel_F.xlsx
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Figure_3_panel_C.xlsx
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Figure_3_panel_E.xlsx
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Figure_3_panel_G.xlsx
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Figure_4_panel_E.xlsx
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Figure_5_panel__F.xlsx
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Figure_5_panel_C_.xlsx
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Figure_5_panel_D_.xlsx
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Figure_5_panel_E_.xlsx
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Figure_6_panel_C_.xlsx
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Figure_7_panel_C.xlsx
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Figure_S_4-1_.xlsx
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README.md
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Abstract
Calcium binding to BK channels lowers BK activation threshold, substantiating functional coupling with calcium-permeable channels. This coupling requires close proximity between different channel types, and the formation of BK–CaV1.3 hetero-clusters at nanometer distances exemplifies this unique organization. To investigate the structural basis of this interaction, we tested the hypothesis that BK and CaV1.3 channels assemble before their insertion into the plasma membrane. Our approach incorporated four strategies: (1) detecting interactions between BK and CaV1.3 proteins inside the cell, (2) identifying membrane compartments where intracellular hetero-clusters reside, (3) measuring the proximity of their mRNAs, and (4) assessing protein interactions at the plasma membrane during early translation. These analyses revealed that a subset of BK and CaV1.3 transcripts are spatially close in micro-translational complexes, and their newly synthesized proteins associate within the endoplasmic reticulum (ER) and Golgi. Comparisons with other proteins, transcripts, and randomized localization models support the conclusion that BK and CaV1.3 hetero-clusters form before their insertion at the plasma membrane.
Dataset DOI: 10.5061/dryad.63xsj3vfq
Description of the data and file structure
These datasets are presented in our original publication titled Functionally-Coupled Ion Channels Begin Co-assembling at the Start of Their Synthesis.
We have uploaded Excel files corresponding to each figure panel, each containing the underlying data for the associated graph. Detailed descriptions of the datasets are provided below:
Figure 2: BK and CaV1.3 Hetero-Clusters Are Found Inside the Cell
Figure_2_panel_D.xlsx
Panel D This dataset examines the use of PLA to detect BK–CaV1.3 hetero-clusters. Excel columns:
- PLA puncta density (puncta/μm²) between BK and CaV1.3
- PLA puncta density under negative control (BK primary antibody only)
Figure_2_panel_F.xlsx
Panel F This dataset shows BK–CaV1.3 hetero-clusters localizing both at the plasma membrane and intracellularly. Excel columns:
- Percentage of PLA puncta colocalized with plasma membrane signal
- Percentage of PLA puncta found inside the cell
Figure 3: BK and CaV1.3 Hetero-Clusters Localize at ER and ER Exit Sites (ERES)
Figure_3_panel_C.xlsx
Panel C ER tubule distance measurements in live and fixed cells. Excel columns:
- Live tsA201 cells (KDEL-moxGFP)
- Fixed tsA201 cells (KDEL-moxGFP, anti-GFP)
- Live INS-1 cells (KDEL-moxGFP)
- Fixed INS-1 cells (KDEL-moxGFP, anti-GFP) Units: nm
Figure_3_panel_E.xlsx
Panel E PLA puncta colocalized with ER in two systems. Excel columns:
- tsA201 cells (overexpression)
- INS-1 cells (endogenous)
Figure_3_panel_G.xlsx
Panel G PLA puncta colocalized with ERES. Excel columns:
- tsA201 cells (overexpression)
- INS-1 cells (endogenous)
Figure 4: BK and CaV1.3 Hetero-Clusters Transit Through the Golgi
Figure_4_panel_E.xlsx
Panel E PLA puncta colocalized with Golgi. Excel columns:
- tsA201 cells (overexpression)
- INS-1 cells (endogenous)
Figure 5: BK and CaV1.3 mRNA Colocalization (RNAscope)
Figure_5_panel_C_.xlsx
Panel C mRNA density in INS-1 cells. Excel columns:
- KCNMA1
- CACNA1D
- GAPDH
Figure_5_panel_D_.xlsx
Panel D mRNA counts in INS-1 cells. Excel columns:
- CACNA1D
- KCNMA1
Figure_5_panel_E_.xlsx
Panel E mRNA counts in INS-1 cells. Excel columns:
- GAPDH
- KCNMA1
Figure_5_panel__F.xlsx
Panel F KCNMA1 mRNA colocalization (%) in INS-1 cells. Excel columns:
- With CACNA1D
- With GAPDH
- With randomized scramble
Figure 6: BK and RyR2 mRNA Colocalization
Figure_6_panel_C_.xlsx
Panel C KCNMA1 mRNA colocalization (%) in INS-1 cells. Excel columns:
- With RyR2
- With randomized scramble
- With SCN9A
Figure 7: BK and CaV1.3 mRNA Colocalize in Micro-Translational Complexes
Figure_7_panel_C.xlsx
Panel C RNAscope and BK protein immunostaining in INS-1 cells. Excel columns:
- Active translation sites
- Micro-translational complexes
Figure 8: Formation of BK and CaV1.3 Hetero-Clusters in INS-1 Cells
_Figure_8_panel_B.xlsx
Panel B Homo-cluster density (# clusters/μm²). Excel columns:
- BK channels
- CaV1.3
_Figure_8_panel_C.xlsx
Panel C Cluster size distribution and medians. Excel columns:
- Bin size (cluster area, nm²)
- BK cumulative frequency
- CaV1.3 cumulative frequency
- Median cluster size (BK)
- Median cluster size (CaV1.3)
_Figure_8_panel_D.xlsx
Panel D Area of BK clusters occupied by CaV1.3 within 40 nm. Excel columns:
- Genuine data
- Randomized scramble
Figure 9: Early Formation of BK and CaV1.3 Hetero-Clusters at the Plasma Membrane
_Figure_9_panel_D.xlsx
Panel D BK cluster size distribution over time in tsA201 cells. Excel columns:
- Bin size (cluster area, nm²)
- BK after 18h expression
- BK after 24h expression
- BK after 48h expression
- Median cluster size (18h)
- Median cluster size (24h)
- Median cluster size (48h)
_Figure_9_panel_E.xlsx
Panel E CaV1.3 cluster size distribution over time in tsA201 cells. Excel columns:
- Bin size (cluster area, nm²)
- CaV1.3 after 24h expression
- CaV1.3 after 48h expression
- Median cluster size (24h)
- Median cluster size (48h)
File: Figure_S_4-1_.xlsx
Description: The Excel file contains two columns both represents PLA puncta density observed between first column: CaV1.3 and BK and second column with RyR2. Experiment was performed in INS-1 cells (endogeounuse system).
Code/software
Image scrambling:
Images were binarized as TIFF images, and their respective cell perimeter coordinates were exported as CSV files by ImageJ. Processed binary images were then analyzed by our SpotScrambler (https://github.com/jehuang2/SpotScramble) Python program. SpotScrambler first extracts the areas of fluorescent particles in the binary image. SpotScrambler then redraws the fluorescent particles as circles at randomized coordinates within cell perimeter boundaries. SpotScrambler accurately preserves particle number and particle sizes, averaging less than 1% difference in total area of fluorescent particles between pre-SpotScrambler and post-SpotScrambler images. To ensure reliable randomization for each experiment, results were averaged between 3 trials of SpotScrambler.
Cell culture:
We used tsA-201 cells to co-express BK and CaV1.3 channels heterologously. Cells were grown in DMEM (Gibco) supplemented with 10% fetal bovine serum and 0.2% penicillin/streptomycin. We used rat insulinoma (INS-1) cells to study endogenous levels of transcripts and proteins of channels. INS-1 cells were cultured in RPMI high glutamate medium (Gibco) with 10% fetal bovine serum, 0.2% penicillin/streptomycin, 10 mM HEPES (Gibco), 1 mM sodium pyruvate (Gibco), and 50 μM 2-mercaptoethanol. Both cell types were passaged twice a week and incubated in 5% CO2 at 37°C.
Plasmids and transfection:
Cells were transfected with 0.1– 0.4 μg DNA per plasmid and plated for 24 hours on poly-D-Lysine coated coverslips. Lipofectamine 3000 (Invitrogen, RRID: L30000) was used for the transfection. DNA clones of CaV1.3, BK channels, PH-PLCδ GFP, ER moxGFP, pmGFP-Sec16S and Golgi-mGFP were obtained from Addgene (RRID:SCR_002037). The CaV1.3 α** subunit construct used in our study corresponds to the rat CaV1.3e splice variant containing exons 8a, 11, 31b, and 42a, with a deletion of exon 32. The BK channel construct corresponds to the VYR splice variant of the mouse BKα subunit (KCNMA1). Auxiliary subunits for CaV1.3 channels, CaVβ3 and CaVα2δ1 (from Diane Lipscombe, Brown University, RI), were transfected as well. No BK channel auxiliary subunits were transfected.
Antibodies:
CaV1.3 channels were immuno-detected with a rabbit primary antibody recognizing residues 809 to 825 located at the intracellular II-III loop of the channel (DNKVTIDDYQEEAEDKD), kindly provided by Drs. William Catterall and Ruth Westenbroek [32]. BK channels were detected using the anti-Slo1 mouse monoclonal antibody clone L6/60. The goat polyclonal GFP antibody was against the recombinant full-length protein corresponding to Aequorea victoria GFP. Anti-58K Golgi protein antibody**** was used to mark the Golgi. Specificity of antibodies was tested in un-transfected tsA-201 cells (Figure 2- Supplementary 1). The secondary antibodies tagged with Alexa dyes were Donkey anti-mouse Alexa-647, Donkey anti-rabbit Alexa-555, Donkey anti-goat Alexa-488 (Molecular Probes).
Immunostaining:
Cells were fixed with freshly prepared 4% paraformaldehyde for 10 minutes. After washing, aldehydes were reduced with 0.1% NaBH4 for 5 minutes and then washed again. Nonspecific binding was blocked with 3% bovine serum albumin (Thermo Scientific). Cells were permeabilized with 0.25% v/v Triton X-100 in PBS for 1 hour. Primary antibodies were used at 10 μg/ml in blocking solution and incubated overnight at 4°C. After washing, secondary antibodies at 2 μg/ml were incubated for 1 hour at 21˚C. Washing steps indicated in all methods include 3 cycles of rinsing and rocking for 5 minutes with PBS at 21˚C. Cells were imaged using an inverted AiryScan microscope or an ONI Nanoimager with super-resolution capabilities, in total internal reflection fluorescence (TIRF) mode, and with a Z-resolution of 50 nm.
Proximity ligation assay (PLA):
Cells were fixed with freshly prepared 4% paraformaldehyde for 10 minutes. After washing, aldehydes were reduced with 50 mM glycine for 15 minutes. After another round of washes, PLA was performed according to manufacturer instructions (Duolink® In Situ Red Starter Kit). Cells were blocked and permeabilized with Duolink blocking solution. Primary antibodies were used at 10 μg/ml in Duolink antibody diluent and incubated overnight at 4°C. The Duolink® In Situ PLA® probe anti-rabbit PLUS and anti-mouse MINUS were used as secondary antibodies, followed by ligation and amplification. For PLA combined with immunostaining, PLA was followed by a secondary antibody incubation with Alexa Fluor-488 at 2 μg/ml for 1 hour at 21˚C. Since GFP fluorescence fades significantly during the PLA protocol, resulting in reduced signal intensity and poor image resolution, GFP was labeled using an antibody rather than relying on its intrinsic fluorescence. Coverslips were mounted using ProLong™ Gold Antifade Mountant with DAPI. Cells were imaged using an inverted Zeiss AiryScan microscope.
Single-molecule fluorescence in situ hybridization (RNAscopeTM):
Manual RNAscope assay was performed using RNAscope Multiplex Fluorescent V2 Assay according to the manufacturer's protocol. The RNAscope assay consists of target probes and a signal amplification system composed of a preamplifier, amplifier, and label probe. A schematic RNAscope assay procedure is shown in Figure 5- Supplementary 1. Briefly, cells were fixed with 4% paraformaldehyde for 30 minutes, washed, dehydrated, and then rehydrated with ethanol, and permeabilized with 0.1% Tween-20 in PBS. Next, cells were quenched with H2O2 and treated with Protease III. Probes were hybridized for 2 hours at 40°C followed by RNAscope amplification and then fluorescence detection. Coverslips were mounted using ProLong™ Gold Antifade Mountant with DAPI. We used the following RNAscope probes: RNAscope 3-plex Positive Control Probes, RNAscope 3-plex negative control probes, RNAscope™ Probe- Rn-Ryr, RNAscope™ Probe- Rn-Scn9a, RNAscope Probe- Rn-Kcnma1-C3, RNAscope Probe- Rn-Cacna1d-C2, and RNAscope Probe- Rn-Gapdh. Cells were imaged on the inverted AiryScan microscope. For PLA and RNAscope experiments, we used custom-made macros written in ImageJ. Processing of PLA data included background subtraction. To assess colocalization, fluorescent signals were converted into binary images, and channels were multiplied to identify spatial overlap. Specificity of RNAscope probes was tested in un-transfected tsA-201 cells (Figure 5- Supplementary 2). For RNAscope combined with immunostaining, RNAscope was followed by blocking in PBS supplemented with 0.01 % Tween-20 and 3% BSA for 1 h at 21˚C. Samples were then probed for BK protein using primary antibody overnight at 4˚C followed by secondary antibody incubation with Alexa Fluor-488 at 2 μg/ml for 1 hour at 21˚C. Coverslips were mounted using ProLong™ Gold Antifade Mountant. Cells were imaged using an inverted Zeiss AiryScan microscope.
High resolution imaging:
Cells were imaged using an inverted AiryScan microscope (Zeiss LSM 880) run by ZEN black v2.3 software and equipped with a plan apochromat 63X oil immersion objective with 1.4 NA. Fluorescent dyes were excited with a 405 nm diode, 458–514 nm argon, 561 nm, or 633 nm laser. Emission light was detected using an Airyscan 32 GaAsP detector and appropriate emission filter sets. The point spread functions were calculated using ZEN black software and 0.1 μm fluorescent microspheres. The temperature inside the microscope housing was 22°C. Images were analyzed using ImageJ (NIH).
Super-resolution imaging:
Direct stochastic optical reconstruction microscopy (dSTORM) images of BK and CaV1.3 overexpressed in tsA-201 cells were acquired using an ONI Nanoimager microscope equipped with a 100X oil immersion objective (1.4 NA), an XYZ closed-loop piezo 736 stage, and triple emission channels split at 488, 555, and 640 nm. Samples were imaged at 35°C. For single-molecule localization microscopy, fixed and stained cells were imaged in GLOX imaging buffer containing 10 mM β-mercaptoethylamine (MEA), 0.56 mg/ml glucose oxidase, 34 μg/ml catalase, and 10% w/v glucose in Tris-HCl buffer. Single-molecule localizations were filtered using NImOS software (v.1.18.3, ONI). Localization maps were exported as TIFF images with a pixel size of 5 nm. Maps were further processed in ImageJ (NIH) by thresholding and binarization to isolate labeled structures. To assess colocalization between the signal from two proteins, binary images were multiplied. Particles smaller than 400 nm2 were excluded from the analysis to reflect the spatial resolution limit of STORM imaging (20 nm) and the average size of BK channels. To examine spatial localization preference, binary images of BK were progressively dilated to 20 nm, 40 nm, 60 nm, 80 nm, 100 nm, and 200 nm to expand their spatial representation. These modified images were then multiplied with the CaV1.3 channel to quantify colocalization and determine BK occupancy at increasing distances from CaV1.3. To ensure consistent comparisons across distance thresholds, data were normalized using the 200 nm measurement as the highest reference value, set to 1.
Image scrambling:
Images were binarized as TIFF images, and their respective cell perimeter coordinates were exported as CSV files by ImageJ. Processed binary images were then analyzed by our SpotScrambler (https://github.com/jehuang2/SpotScramble) Python program. SpotScrambler first extracts the areas of fluorescent particles in the binary image. SpotScrambler then redraws the fluorescent particles as circles at randomized coordinates within cell perimeter boundaries. SpotScrambler accurately preserves particle number and particle sizes, averaging less than 1% difference in total area of fluorescent particles between pre-SpotScrambler and post-SpotScrambler images. To ensure reliable randomization for each experiment, results were averaged between 3 trials of SpotScrambler.
Data analysis
Excel (Microsoft), and Prism (GraphPad) were used to analyze data. ImageJ was used to process images. One-way ANOVA and non-parametric statistical test (Mann-Whitney Wilcoxon) were used to test for statistical significance. p-values <0.05 were deemed statistically significant. The number of cells used for each experiment is detailed in each figure legend.
